Vores kunder ligger øverst på Google

Google Ads Specialister fra Vestjylland

Vi er 100% dedikerede til Google Annoncering – Vi har mange års erfaring med Google Ads og den bruger vi på at opsætte, optimere & vedligeholde vores fantastiske kunders konti.

100% Specialiseret i Google Ads
Vi har mange års erfaring fra +300 konti
Ingen lange bindinger & evighedskontrakter
Jævnlig opfølgning med hver enkelt kunde
Vi tager din virksomhed seriøst
KONTAKT OS
LÆS UDTALELSER & SUCCESHISTORIER

182 results (0,24618 seconds)

Show all filters

Brand

Merchant

Price (EUR)

Reset filter

Products
From
Shops

Ecological Forest Management Handbook

Ecological Forest Management Handbook

Forests are valued not only for their economic potential but also for the biodiversity they contain the ecological services they provide and the recreational cultural and spiritual opportunities they provide. The Ecological Forest Management Handbook provides a comprehensive summary of interrelated topics in the field including management concepts forest models and ecological indicators. Featuring contributions from experts on the three main forest types—boreal temperate and tropical—this book presents in-depth coverage of important issues in ecological forest management and includes case studies addressing ecological and socioeconomic issues. It illustrates how ecological forest management is a complex process that requires broad ecological knowledge while giving readers a deeper understanding of basic principles and applications.

GBP 64.99
1

Diseases of Forest Trees and their Management

Diseases of Forest Trees and their Management

The book is intended to provide comprehensive introduction to the important aspects of the field of forest pathology and tree diseases. The book is arranged in two major parts. The fundamental chapters present forest diseases pathogens epidemics and management that is applicable to all forest trees. The applied chapters on the individual crops that are grouped alphabetically present information on the symptoms pathogen and integrated management of major diseases of forest trees. It was designed to give a broad overview of the field of forest pathology but with sufficient detail that they will be able to assess their specific role as practicing forestry professionals. Note: T& F does not sell or distribute the Hardback in India Pakistan Nepal Bhutan Bangladesh and Sri Lanka. | Diseases of Forest Trees and their Management

GBP 99.99
1

Forest-Based Biomass Energy Concepts and Applications

Forest-Based Biomass Energy Concepts and Applications

What is forest-based biomass energy and why should we care? Written by environmental expert Frank Spellman Forest-Based Biomass Energy: Concepts and Applications details how forest biomass can be converted to energy and energy products including direct combustion pellets gasification and co-firing. It explores the possibilities of forest-based biomass energy for producing a reliable energy renewable energy source that will not destroy or pollute our fragile environment. Carefully avoiding the influence of media hype and political ideology Spellman points out that every problem has a solution we simply need to find sources and develop them. He delineates common-sense approaches and practical sometimes poetic examples. And he does all this while adhering to scientific principles models and observations. However you need not be a scientist to understand the principles and concepts. Spellman goes easy on the hard math and science and presents the material in a user-friendly manner weaving real-life situations throughout the fabric of the text. Features: Offers complete coverage of forest biomass rather than simply touching on one source Includes several basic and practical mathematical operations illustrated with example problems and explained solutions Examines numerous types of tree stocks Contains information on silviculture Addresses growing transportation energy needs and limited petroleum resources Offers information on the benefits of Agroforestry This is not merely an answer book; it is designed to stimulate thought and new ideas. Although the author answers specific renewable energy and forest-derived feedstock questions he also points out the disadvantages that need to be overcome to make forest-based renewable energy a viable alternative to fossil fuels. He provides a framework of principles you can use to understand the complexity of the situation of substituting a renewable energy source such as forest-based biomass for fossil fuels. | Forest-Based Biomass Energy Concepts and Applications

GBP 69.99
1

Deer Management for Forest Landowners and Managers

Deer Management for Forest Landowners and Managers

One of the biggest management problems for forest landowners and managers is browsing by overabundant deer herds that simplifies habitat and reduces species composition and abundance of plant and wildlife communities. This book addresses deer biology management of deer and deer impact on private and public forestlands. It integrates information on deer biology and human dimensions aspects including culture values politics and financial and human resources into development and implementation of comprehensive management of people and deer. Additional audiences are wildlife educators deer hunters and administrators of natural resource agencies who affect deer density and impact on forest resources by regulating deer hunting. The book is written by wildlife and forestry scientists consultants managers and educators with over 350 years of collective experience in managing deer impacts on forest resources. It includes nine case histories of deer management on forestlands ranging from small woodlots to large commercial operations and state/national forests. Praise for Deer Management for Forest Landowners and Managers: “If you’re a forest landowner serious about managing your deer and woods this book is for you. ” Kip Adams Quality Deer Management Association “This book is an extensive resource for deer and timber management and is a hands-on manual that includes extensive review of relevant literature. David Samuel Bowhunter Magazine “This book provides definitive answers to the questions of how to accomplish deer management in … the face of large deer populations. It belongs on the reading list of every forest landowner. ” William F. Porter Boone and Crockett Professor of Wildlife “It captures the wealth of knowledge of the authors who understand deer as hunters ecologists managers and scientists. It provides a leap forward in the who and how of deer and forest management. ” Peter Smallidge Extension Forester “This is a must read for landowners deer and forest managers and those studying forest ecology. ” Merlin Benner wildlife consultant “This book is a road map to restoring deer to their long-time place of balance serving the common good for people and nature. ” Allen Pursell The Nature Conservancy

GBP 62.99
1

Forest Insects in Europe Diversity Functions and Importance

Forest Insects in Europe Diversity Functions and Importance

CHOICE Highly Recommended title 2022! Forest insects play important roles ecologically and economically. They pollinate plants decompose dead plant and animal tissue provide food for vertebrates regulate pest organisms and shape entire landscapes. Some are considered pests while others provide usable products. Introduced species may become invasive while the survival of others is threatened. Forest Insects in Europe: Diversity Functions and Importance has been written not only with professional entomologists in mind but also for nature lovers generally. The descriptions of the various roles insects play in forest ecosystems are intended to be easily comprehensible but still scientific. The book is richly illustrated with attractive photos and contains 580 fascinating colour images of more than 300 different insect and spider species. The German edition was awarded the Prix Moulines by the Swiss Entomological Society in 2019. | Forest Insects in Europe Diversity Functions and Importance

GBP 52.99
1

The Chestnut Handbook Crop & Forest Management

The Chestnut Handbook Crop & Forest Management

From Mediterranean Europe to Chile and from China to Australia chestnut cultivation surface has greatly increased globally over the last several decades. The crop provides solid revenue to growers is resilient to climate change and the fruits are a calorie-dense carbohydrate-rich nut the production of which improves soil and sequesters carbon. However there is a great lack and a great need for technical information on management of old and new chestnut plantations. The Chestnut Handbook shares achievements in chestnut development and cultivation including information on sustainable planning and management of chestnut production from nursery to plantation entomology pathology and ecosystem services. Cultivation techniques of Chinese Japanese and European chestnut species including hybrids are described containing information on over 550 local and commercial cultivars. Beautiful original handmade drawings and technical sheets facilitate accessibility and comprehension of information. FEATURES:• Offers practical easy-to-follow technical solutions for chestnut farming and forestry provides ideas for present and future plantations and management• Contains more than 300 figures published in full color featuring original handmade drawings• Provides information about cultural practices nursery techniques and ecosystem services• Includes a reference list of over 550 local and commercial cultivars of Chinese Japanese and European chestnut species and their hybrids• Presents important information on both major and minor pests and diseases as well as pest diseases and physiological disorders. With the collaboration of more than 30 researchers from internationally renowned institutes professionals and nurserymen this book serves as a technical reference and valuable resource for agronomists forest experts farmers researchers and students of agricultural and forestry sciences. | The Chestnut Handbook Crop & Forest Management

GBP 44.99
1

Deep Learning for Biomedical Applications

Deep Learning for Biomedical Applications

This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial Intelligence its specific and innovative solutions for both medical and biomedical are very critical. This book provides a recent view of research works on essential and advanced topics. The book offers detailed information on the application of Deep Learning for solving biomedical problems. It focuses on different types of data (i. e. raw data signal-time series medical images) to enable readers to understand the effectiveness and the potential. It includes topics such as disease diagnosis image processing perspectives and even genomics. It takes the reader through different sides of Deep Learning oriented solutions. The specific and innovative solutions covered in this book for both medical and biomedical applications are critical to scientists researchers practitioners professionals and educations who are working in the context of the topics. | Deep Learning for Biomedical Applications

GBP 130.00
1

Peatland Biogeochemistry and Watershed Hydrology at the Marcell Experimental Forest

Peatland Biogeochemistry and Watershed Hydrology at the Marcell Experimental Forest

The Marcell Experimental Forest (MEF) in Minnesota serves as a living laboratory and provides scientists with a fundamental understanding of peatland hydrology acid rain impacts nutrient and carbon cycling trace gas emissions and controls on mercury transport in boreal watersheds. Its important role in scientific research continues to grow as the data gathered offers invaluable insight into environmental changes over the last century and goes far in answering many of today’s pressing questions at landscape and global scales. Synthesizing five decades of research Peatland Biogeochemistry and Watershed Hydrology at the Marcell Experimental Forest includes hundreds of research publications dozens of graduate theses and even some previously unpublished studies. Research at the MEF has been at the forefront of many scientific disciplines and these 15 chapters offer the depth and breadth of long-term studies on hydrology biogeochemistry ecology and forest management on peatland watersheds at the MEF. Focusing on peatlands lakes and upland landscapes the book begins with the pioneering research on hydrology done during the 1960s. It presents the innovative 1970’s studies of atmospheric deposition; the 1980’s research into nutrient cycles including carbon nitrogen and methane emissions; and the 1990’s investigations into mercury deposition. The book concludes with a look at the latest and on-going studies such as this century’s research into controls on methylmercury production and landscape-level carbon storage and cycling. Covering 50 years of research and written by a veritable who’s who in peatland and forestry science this important milestone in the collection of ecological data highlights bright prospects for future research including the continuation of existing long-term measurements the initiation of new monitoring programs and plans for unprecedented studies on climate change.

GBP 69.99
1

Deep Neural Network Applications

Deep Neural Network Applications

The world is on the verge of fully ushering in the fourth industrial revolution of which artificial intelligence (AI) is the most important new general-purpose technology. Like the steam engine that led to the widespread commercial use of driving machineries in the industries during the first industrial revolution; the internal combustion engine that gave rise to cars trucks and airplanes; electricity that caused the second industrial revolution through the discovery of direct and alternating current; and the Internet which led to the emergence of the information age AI is a transformational technology. It will cause a paradigm shift in the way’s problems are solved in every aspect of our lives and from it innovative technologies will emerge. AI is the theory and development of machines that can imitate human intelligence in tasks such as visual perception speech recognition decision-making and human language translation. This book provides a complete overview on the deep learning applications and deep neural network architectures. It also gives an overview on most advanced future-looking fundamental research in deep learning application in artificial intelligence. Research overview includes reasoning approaches problem solving knowledge representation planning learning natural language processing perception motion and manipulation social intelligence and creativity. It will allow the reader to gain a deep and broad knowledge of the latest engineering technologies of AI and Deep Learning and is an excellent resource for academic research and industry applications. | Deep Neural Network Applications

GBP 145.00
1

Deep Learning in Time Series Analysis

Deep Learning in Time Series Analysis

Deep learning is an important element of artificial intelligence especially in applications such as image classification in which various architectures of neural network e. g. convolutional neural networks have yielded reliable results. This book introduces deep learning for time series analysis particularly for cyclic time series. It elaborates on the methods employed for time series analysis at the deep level of their architectures. Cyclic time series usually have special traits that can be employed for better classification performance. These are addressed in the book. Processing cyclic time series is also covered herein. An important factor in classifying stochastic time series is the structural risk associated with the architecture of classification methods. The book addresses and formulates structural risk and the learning capacity defined for a classification method. These formulations and the mathematical derivations will help the researchers in understanding the methods and even express their methodologies in an objective mathematical way. The book has been designed as a self-learning textbook for the readers with different backgrounds and understanding levels of machine learning including students engineers researchers and scientists of this domain. The numerous informative illustrations presented by the book will lead the readers to a deep level of understanding about the deep learning methods for time series analysis. | Deep Learning in Time Series Analysis

GBP 115.00
1

Machine Learning and Deep Learning Techniques for Medical Image Recognition

Machine Learning and Deep Learning Techniques for Medical Image Recognition

Machine Learning and Deep Learning Techniques for Medical Image Recognition comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing. It includes a detailed review of deep learning approaches for semantic object detection and segmentation in medical image computing and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks with the theory and varied selection of techniques for semantic segmentation using deep learning principles in medical imaging supported by practical examples. Features: Offers important key aspects in the development and implementation of machine learning and deep learning approaches toward developing prediction tools and models and improving medical diagnosis Teaches how machine learning and deep learning algorithms are applied to a broad range of application areas including chest X-ray breast computer-aided detection lung and chest microscopy and pathology Covers common research problems in medical image analysis and their challenges Focuses on aspects of deep learning and machine learning for combating COVID-19 Includes pertinent case studies This book is aimed at researchers and graduate students in computer engineering artificial intelligence and machine learning and biomedical imaging.

GBP 110.00
1

Deep Learning for Remote Sensing Images with Open Source Software

Deep Learning for Remote Sensing Images with Open Source Software

In today’s world deep learning source codes and a plethora of open access geospatial images are readily available and easily accessible. However most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source Software is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches detailed in this book are generic and can be adapted to suit many different applications for remote sensing image processing including landcover mapping forestry urban studies disaster mapping image restoration etc. Written with practitioners and students in mind this book helps link together the theory and practical use of existing tools and data to apply deep learning techniques on remote sensing images and data. Specific Features of this Book: The first book that explains how to apply deep learning techniques to public free available data (Spot-7 and Sentinel-2 images OpenStreetMap vector data) using open source software (QGIS Orfeo ToolBox TensorFlow) Presents approaches suited for real world images and data targeting large scale processing and GIS applications Introduces state of the art deep learning architecture families that can be applied to remote sensing world mainly for landcover mapping but also for generic approaches (e. g. image restoration) Suited for deep learning beginners and readers with some GIS knowledge. No coding knowledge is required to learn practical skills. Includes deep learning techniques through many step by step remote sensing data processing exercises.

GBP 31.99
1

Deep Learning in Computer Vision Principles and Applications

Deep Learning in Computer Vision Principles and Applications

Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic introduces reviews of up-to-date techniques and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on field-programmable gate arrays fire detection in surveillance applications face recognition action and activity recognition semantic segmentation for autonomous driving aerial imagery registration robot vision tumor detection and skin lesion segmentation as well as skin melanoma classification. The content of this book has been organized such that each chapter can be read independently from the others. The book is a valuable companion for researchers for postgraduate and possibly senior undergraduate students who are taking an advanced course in related topics and for those who are interested in deep learning with applications in computer vision image processing and pattern recognition. | Deep Learning in Computer Vision Principles and Applications

GBP 38.99
1

Swarm Intelligence and Deep Evolution Evolutionary Approach to Artificial Intelligence

Swarm Intelligence and Deep Evolution Evolutionary Approach to Artificial Intelligence

The book provides theoretical and practical knowledge about swarm intelligence and evolutionary computation. It describes the emerging trends in deep learning that involve the integration of swarm intelligence and evolutionary computation with deep learning i. e. deep neuroevolution and deep swarms. The study reviews the research on network structures and hyperparameters in deep learning and attracting attention as a new trend in AI. A part of the coverage of the book is based on the results of practical examples as well as various real-world applications. The future of AI based on the ideas of swarm intelligence and evolution is also covered. The book is an introductory work for researchers. Approaches to the realization of AI and the emergence of intelligence are explained with emphasis on evolution and learning. It is designed for beginners who do not have any knowledge of algorithms or biology and explains the basics of neural networks and deep learning in an easy-to-understand manner. As a practical exercise in neuroevolution the book shows how to learn to drive a racing car and a helicopter using MindRender. MindRender is an AI educational software that allows the readers to create and play with VR programs and provides a variety of examples so that the readers will be able to create and understand AI. | Swarm Intelligence and Deep Evolution Evolutionary Approach to Artificial Intelligence

GBP 160.00
1

Deep Learning in Biomedical and Health Informatics Current Applications and Possibilities

Deep Learning in Biomedical and Health Informatics Current Applications and Possibilities

This book provides a proficient guide on the relationship between Artificial Intelligence (AI) and healthcare and how AI is changing all aspects of the healthcare industry. It also covers how deep learning will help in diagnosis and the prediction of disease spread. The editors present a comprehensive review of research applying deep learning in health informatics in the fields of medical imaging electronic health records genomics and sensing and highlights various challenges in applying deep learning in health care. This book also includes applications and case studies across all areas of AI in healthcare data. The editors also aim to provide new theories techniques developments and applications of deep learning and to solve emerging problems in healthcare and other domains. This book is intended for computer scientists biomedical engineers and healthcare professionals researching and developing deep learning techniques. In short the volume : Discusses the relationship between AI and healthcare and how AI is changing the health care industry. Considers uses of deep learning in diagnosis and prediction of disease spread. Presents a comprehensive review of research applying deep learning in health informatics across multiple fields. Highlights challenges in applying deep learning in the field. Promotes research in ddeep llearning application in understanding the biomedical process. Dr. . M. A. Jabbar is a professor and Head of the Department AI&ML Vardhaman College of Engineering Hyderabad Telangana India. Prof. (Dr. ) Ajith Abraham is the Director of Machine Intelligence Research Labs (MIR Labs) Auburn Washington USA. Dr. . Onur Dogan is an assistant professor at İzmir Bakırçay University Turkey. Prof. Dr. Ana Madureira is the Director of The Interdisciplinary Studies Research Center at Instituto Superior de Engenharia do Porto (ISEP) Portugal. Dr. . Sanju Tiwari is a senior researcher at Universidad Autonoma de Tamaulipas Mexico. | Deep Learning in Biomedical and Health Informatics Current Applications and Possibilities

GBP 44.99
1

Visual Object Tracking using Deep Learning

Visual Object Tracking using Deep Learning

This book covers the description of both conventional methods and advanced methods. In conventional methods visual tracking techniques such as stochastic deterministic generative and discriminative are discussed. The conventional techniques are further explored for multi-stage and collaborative frameworks. In advanced methods various categories of deep learning-based trackers and correlation filter-based trackers are analyzed. The book also: Discusses potential performance metrics used for comparing the efficiency and effectiveness of various visual tracking methods Elaborates on the salient features of deep learning trackers along with traditional trackers wherein the handcrafted features are fused to reduce computational complexity Illustrates various categories of correlation filter-based trackers suitable for superior and efficient performance under tedious tracking scenarios Explores the future research directions for visual tracking by analyzing the real-time applications The book comprehensively discusses various deep learning-based tracking architectures along with conventional tracking methods. It covers in-depth analysis of various feature extraction techniques evaluation metrics and benchmark available for performance evaluation of tracking frameworks. The text is primarily written for senior undergraduates graduate students and academic researchers in the fields of electrical engineering electronics and communication engineering computer engineering and information technology. | Visual Object Tracking using Deep Learning

GBP 89.99
1

Game Design Deep Dive: Horror

Game Design Deep Dive: Horror

The Game Design Deep Dive series examines a specific game system or mechanic over the course of the history of the industry. This entry will examine the history and design of the horror genre and elements in video games. The author analyzes early video game examples including the differences between survival action-horror and psychological horror. Thanks to recent hits like Five Night’s at Freddy’s Bendy and the Ink Machine and recent Resident Evil titles the horror genre has seen a strong resurgence. For this book in the Game Design Deep Dive series Joshua Bycer will go over the evolution of horror in video games and game design and what it means to create a terrifying and chilling experience. FEATURES • Written for anyone interested in the horror genre anyone who wants to understand game design or anyone simply curious from a historical standpoint • Includes real game examples to highlight the discussed topics and mechanics • Explores the philosophy and aspects of horror that can be applied to any medium • Serves as a perfect companion for someone building their first game or as part of a game design classroom Joshua Bycer is a game design critic with more than eight years of experience critically analyzing game design and the industry itself. In that time through Game-Wisdom he has interviewed hundreds of game developers and members of the industry about what it means to design video games. He also strives to raise awareness about the importance of studying game design by giving lectures and presentations. His first book was 20 Essential Games to Study. He continues to work on the Game Design Deep Dive series. | Game Design Deep Dive: Horror

GBP 42.99
1

Fundamentals of Deep Excavations

Fundamentals of Deep Excavations

Excavation is an important segment of foundation engineering (e. g. in the construction of the foundations or basements of high-rise buildings underground oil tanks or subways). However the excavation knowledge introduced in most books on foundation engineering is too simple to handle actual excavation analysis and design. Moreover with economic development and urbanization excavations go deeper and are larger in scale. These conditions require elaborate analysis design methods and construction technologies. This book is aimed at both theoretical explication and practical application. From basic to advanced this book attempts to achieve theoretical rigor and consistency. Each chapter is followed by a problem set so that the book can be readily taught at senior undergraduate and graduate levels. The solution to the problems at the end of the chapters can be found on the website (http://www. ct. ntust. edu. tw/ou/). On the other hand the analysis methods introduced in the book can be used in actual analysis and design as they contain the most up-to-date knowledge. Therefore this book is suitable for teachers who teach foundation engineering and/or deep excavation courses and engineers who are engaged in excavation analysis and design. | Fundamentals of Deep Excavations

GBP 66.99
1

Structure of the Lithosphere and Deep Processes Proceedings of the 30th International Geological Congress Volume 4

Structure of the Lithosphere and Deep Processes Proceedings of the 30th International Geological Congress Volume 4

This book is a collection of papers presented in the 30th International Geological Congress held in Beijing on structure of the lithosphere and deep processes. The papers deal with topics on the measurement of P-wave velocities in rocks and elastic properties of crust and upper mantle. | Structure of the Lithosphere and Deep Processes Proceedings of the 30th International Geological Congress Volume 4

GBP 39.99
1

Design of Shallow and Deep Foundations

Design of Shallow and Deep Foundations

Design of Shallow and Deep Foundations introduces the concept of limit state calculations before focusing on shallow and deep foundations. The limit state combinations of actions are examined and practical calculation models of the bearing capacity and of the settlement are presented particularly from the results of Ménard pressuremeter tests and cone penetration tests. Attention is also given to the use of numerical methods which has been developed over the past twenty years. It provides an overview of various elements of ground-structure interaction that are pertinent for a refined design of both shallow and deep foundations such as allowable displacements of structures and ground-structure couplings. This guide will be useful to practising engineers and experts in design offices contracting companies and administrations as well as students and researchers in civil engineering. Though its focus is generally on the French practice it is more widely applicable to design based on or generally in line with Eurocode 7 with references to BS ENs. Roger Frank is an Honorary Professor at Ecole Nationale des Ponts et Chaussées (ENPC). From 1998 to 2004 he chaired the committee on Eurocode 7 on Geotechnical design. Fahd Cuira is the Scientific Director of Terrasol (Setec group) France. Since 2018 he has been in charge of the course on the design of geotechnical structures at ENPC. Sébastien Burlon is a Project Director at Terrasol (Setec group) France. He is involved in the evolution of Eurocode 7 and teaches several geotechnical courses especially at ENPC.

GBP 44.99
1

Game Design Deep Dive Role Playing Games

Game Design Deep Dive Role Playing Games

Game Design Critic Josh Bycer is back with another entry in the Game Design Deep Dive series to discuss the Role-Playing Game genre. Arguably one of the most recognizable in the industry today what is and what isn’t an RPG has changed over the years. From the origins in the tabletop market to now having its design featured all over it is one of the most popular genres to draw inspiration from and build games around. This is a genre that looks easy from the outside to make but requires understanding a variety of topics to do right. A breakdown of RPG mechanics and systems perfect for anyone wanting to study or make one themselves The history of the genre – from tabletop beginnings to its worldwide appeal The reach of the genre – a look at just some of the many different takes on RPGs that have grown over the past 40 years An examination of how RPG systems can be combined with other designs to create brand new takes | Game Design Deep Dive Role Playing Games

GBP 38.99
1

Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

Artificial Intelligence (AI) when incorporated with machine learning and deep learning algorithms has a wide variety of applications today. This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems. The book focuses on concepts and techniques used to run tasks in an automated manner. It discusses computational intelligence in the detection and diagnosis of clinical and biomedical images covers the automation of a system through machine learning and deep learning approaches presents data analytics and mining for decision-support applications and includes case-based reasoning natural language processing computer vision and AI approaches in real-time applications. Academic scientists researchers and students in the various domains of computer science engineering electronics and communication engineering and information technology as well as industrial engineers biomedical engineers and management will find this book useful. By the end of this book you will understand the fundamentals of AI. Various case studies will develop your adaptive thinking to solve real-time AI problems. Features Includes AI-based decision-making approaches Discusses computational intelligence in the detection and diagnosis of clinical and biomedical images Covers automation of systems through machine learning and deep learning approaches and its implications to the real world Presents data analytics and mining for decision-support applications Offers case-based reasoning | Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

GBP 145.00
1

Restoration of Boreal and Temperate Forests

Restoration of Boreal and Temperate Forests

Humans have influenced the landscapes and forests throughout the temperate and boreal zones for millennia. Restoration of Boreal and Temperate Forests Second Edition focuses on the negative impact of human activity and explains the importance of forest restoration as a way to repair habitat restore forest structure and function and counteract the lasting effects of humanity. The book offers broad geographic coverage as well as a combination of review and case study chapters providing social and policy contexts for restoration of specific forest types. This revised edition begins with a historical context for restoration provides a conceptual framework for understanding the relationship between degradation and restoration and defines terms within that framework. While building on the first edition it presents the response of restorationists to the current challenges of interpreting scattered science on forest history stand development and natural processes. It combines applicable experience designed to improve present and future ecological and social sustainability. Describes restoration in the context of rapid social economic environmental and climate changeLooks toward the future presenting several completely new topics in forest restorationCovers different starting points for restoration from non-forest to degraded forestRestoration of Boreal and Temperate Forests Second Edition aids in the understanding of the diverse cultural and ecological contexts for restoration of temperate and boreal forests and the creation of a better foundation of documented knowledge to support future and existing restoration decisions.

GBP 74.99
1

Deep Excavations in Soil

Deep Excavations in Soil

The book describes the theory and current practices for design of earth lateral support for deep excavations in soil. It addresses basic principles of soil mechanics and explains how these principles are embodied in design methods including hand calculations. It then introduces the use of numerical methods including the fundamental “beam on springs” models and then more sophisticated computer programmes which can model soil as a continuum in two or three dimensions. Constitutive relationships are introduced that are in use for representing the behaviour of soil including a strain hardening model and a Cam Clay model including groundwater flow and coupled consolidation. These methods are illustrated by reference to practical applications and case histories from the author’s direct experience and some of the pitfalls that can occur are discussed. Theory and design are strongly tied to construction practice with emphasis on monitoring the retaining structures and movement of surrounding ground and structures in the context of safety and the Observational Method. Examples are presented for conventional “Bottom-up” and “Top-down” sequences along with hybrid sequences giving tips on how to optimise the design and effect economies of cost and time for construction. It is written for practising geotechnical civil and structural engineers and especially for senior and MSc students.

GBP 42.99
1