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20 produkter
20 produkter
Häftad, Engelska, 2019
1 006 kr
Skickas inom 10-15 vardagar
Image and video signals require large transmission bandwidth and storage, leading to high costs. The data must be compressed without a loss or with a small loss of quality. Thus, efficient image and video compression algorithms play a significant role in the storage and transmission of data.Image and Video Compression: Fundamentals, Techniques, and Applications explains the major techniques for image and video compression and demonstrates their practical implementation using MATLAB® programs. Designed for students, researchers, and practicing engineers, the book presents both basic principles and real practical applications.In an accessible way, the book covers basic schemes for image and video compression, including lossless techniques and wavelet- and vector quantization-based image compression and digital video compression. The MATLAB programs enable readers to gain hands-on experience with the techniques. The authors provide quality metrics used to evaluate the performance of the compression algorithms. They also introduce the modern technique of compressed sensing, which retains the most important part of the signal while it is being sensed.
E-bok
PDF, Engelska, 2023918 kr
Läs direkt efter köp
This book combines technology and the medical domain. It covers advances in computer vision (CV) and machine learning (ML) that facilitate automation in diagnostics and therapeutic and preventive health care. The special focus on eXplainable Artificial Intelligence (XAI) uncovers the black box of ML and bridges the semantic gap between the technologists and the medical fraternity. Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine intends to be a premier reference for practitioners, researchers, and students at basic, intermediary levels and expert levels in computer science, electronics and communications, information technology, instrumentation and control, and electrical engineering.
This book will benefit readers in the following ways:
Explores state of art in computer vision and deep learning in tandem to develop autonomous or semi-autonomous algorithms for diagnosis in health care
Investigates bridges between computer scientists and physicians being built with XAI
Focuses on how data analysis provides the rationale to deal with the challenges of healthcare and making decision-making more transparent
Initiates discussions on human-AI relationships in health care
Unites learning for privacy preservation in health care
E-bok
Engelska, 2023918 kr
Läs direkt efter köp
This book combines technology and the medical domain. It covers advances in computer vision (CV) and machine learning (ML) that facilitate automation in diagnostics and therapeutic and preventive health care. The special focus on eXplainable Artificial Intelligence (XAI) uncovers the black box of ML and bridges the semantic gap between the technologists and the medical fraternity. Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine intends to be a premier reference for practitioners, researchers, and students at basic, intermediary levels and expert levels in computer science, electronics and communications, information technology, instrumentation and control, and electrical engineering.
This book will benefit readers in the following ways:
Explores state of art in computer vision and deep learning in tandem to develop autonomous or semi-autonomous algorithms for diagnosis in health care
Investigates bridges between computer scientists and physicians being built with XAI
Focuses on how data analysis provides the rationale to deal with the challenges of healthcare and making decision-making more transparent
Initiates discussions on human-AI relationships in health care
Unites learning for privacy preservation in health care
Inbunden, Engelska, 2023
1 816 kr
Skickas inom 10-15 vardagar
This book combines technology and the medical domain. It covers advances in computer vision (CV) and machine learning (ML) that facilitate automation in diagnostics and therapeutic and preventive health care. The special focus on eXplainable Artificial Intelligence (XAI) uncovers the black box of ML and bridges the semantic gap between the technologists and the medical fraternity. Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine intends to be a premier reference for practitioners, researchers, and students at basic, intermediary levels and expert levels in computer science, electronics and communications, information technology, instrumentation and control, and electrical engineering.This book will benefit readers in the following ways: Explores state of art in computer vision and deep learning in tandem to develop autonomous or semi-autonomous algorithms for diagnosis in health care Investigates bridges between computer scientists and physicians being built with XAI Focuses on how data analysis provides the rationale to deal with the challenges of healthcare and making decision-making more transparent Initiates discussions on human-AI relationships in health care Unites learning for privacy preservation in health care
Häftad, Engelska, 2025
818 kr
Skickas inom 10-15 vardagar
This book combines technology and the medical domain. It covers advances in computer vision (CV) and machine learning (ML) that facilitate automation in diagnostics and therapeutic and preventive health care. The special focus on eXplainable Artificial Intelligence (XAI) uncovers the black box of ML and bridges the semantic gap between the technologists and the medical fraternity. Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine intends to be a premier reference for practitioners, researchers, and students at basic, intermediary levels and expert levels in computer science, electronics and communications, information technology, instrumentation and control, and electrical engineering.This book will benefit readers in the following ways: Explores state of art in computer vision and deep learning in tandem to develop autonomous or semi-autonomous algorithms for diagnosis in health care Investigates bridges between computer scientists and physicians being built with XAI Focuses on how data analysis provides the rationale to deal with the challenges of healthcare and making decision-making more transparent Initiates discussions on human-AI relationships in health care Unites learning for privacy preservation in health care
E-bok
Engelska, 20141 195 kr
Läs direkt efter köp
Image and video signals require large transmission bandwidth and storage, leading to high costs. The data must be compressed without a loss or with a small loss of quality. Thus, efficient image and video compression algorithms play a significant role in the storage and transmission of data.Image and Video Compression: Fundamentals, Techniques, and
Inbunden, Engelska, 2014
1 816 kr
Skickas inom 10-15 vardagar
Image and video signals require large transmission bandwidth and storage, leading to high costs. The data must be compressed without a loss or with a small loss of quality. Thus, efficient image and video compression algorithms play a significant role in the storage and transmission of data.Image and Video Compression: Fundamentals, Techniques, and Applications explains the major techniques for image and video compression and demonstrates their practical implementation using MATLAB® programs. Designed for students, researchers, and practicing engineers, the book presents both basic principles and real practical applications.In an accessible way, the book covers basic schemes for image and video compression, including lossless techniques and wavelet- and vector quantization-based image compression and digital video compression. The MATLAB programs enable readers to gain hands-on experience with the techniques. The authors provide quality metrics used to evaluate the performance of the compression algorithms. They also introduce the modern technique of compressed sensing, which retains the most important part of the signal while it is being sensed.
E-bok
PDF, Engelska, 20141 195 kr
Läs direkt efter köp
Image and video signals require large transmission bandwidth and storage, leading to high costs. The data must be compressed without a loss or with a small loss of quality. Thus, efficient image and video compression algorithms play a significant role in the storage and transmission of data.Image and Video Compression: Fundamentals, Techniques, and
Inbunden, Engelska, 2021
1 837 kr
Skickas inom 10-15 vardagar
This book aims to address emerging challenges in the field of agriculture and natural resource management using the principles and applications of data science (DS). The book is organized in three sections, and it has fourteen chapters dealing with specialized areas. The chapters are written by experts sharing their experiences very lucidly through case studies, suitable illustrations and tables. The contents have been designed to fulfil the needs of geospatial, data science, agricultural, natural resources and environmental sciences of traditional universities, agricultural universities, technological universities, research institutes and academic colleges worldwide. It will help the planners, policymakers and extension scientists in planning and sustainable management of agriculture and natural resources. The authors believe that with its uniqueness the book is one of the important efforts in the contemporary cyber-physical systems.
E-bok
Engelska, 20212 366 kr
Läs direkt efter köp
This book aims to address emerging challenges in the field of agriculture and natural resource management using the principles and applications of data science (DS). The book is organized in three sections, and it has fourteen chapters dealing with specialized areas. The chapters are written by experts sharing their experiences very lucidly through case studies, suitable illustrations and tables. The contents have been designed to fulfil the needs of geospatial, data science, agricultural, natural resources and environmental sciences of traditional universities, agricultural universities, technological universities, research institutes and academic colleges worldwide. It will help the planners, policymakers and extension scientists in planning and sustainable management of agriculture and natural resources. The authors believe that with its uniqueness the book is one of the important efforts in the contemporary cyber-physical systems.
Häftad, Engelska, 2022
1 837 kr
Skickas inom 10-15 vardagar
This book aims to address emerging challenges in the field of agriculture and natural resource management using the principles and applications of data science (DS). The book is organized in three sections, and it has fourteen chapters dealing with specialized areas. The chapters are written by experts sharing their experiences very lucidly through case studies, suitable illustrations and tables. The contents have been designed to fulfil the needs of geospatial, data science, agricultural, natural resources and environmental sciences of traditional universities, agricultural universities, technological universities, research institutes and academic colleges worldwide. It will help the planners, policymakers and extension scientists in planning and sustainable management of agriculture and natural resources. The authors believe that with its uniqueness the book is one of the important efforts in the contemporary cyber-physical systems.
Inbunden, Engelska, 2026
2 224 kr
Skickas inom 10-15 vardagar
In the rapidly evolving world of sports, data has become an invaluable asset, transforming how athletes train, teams strategise, and fans engage. The book delves into the heart of this transformation, offering a comprehensive guide to the latest techniques, applications, and future directions in sports data analytics. The book begins with the fundamentals, introducing key concepts and methodologies for data collection, management, and preprocessing. It then explores various analytical techniques, from descriptive and predictive analytics to advanced AI applications like computer vision and natural language processing. It presents real-world case studies and applications, showcasing how data analytics can enhance in-game strategy, player performance, injury prevention, and fan engagement. Finally, the book addresses emerging technologies, ethical considerations, and the future landscape of sports data analytics.
E-bok
Engelska, 20262 925 kr
Läs direkt efter köp
In the rapidly evolving world of sports, data has become an invaluable asset, transforming how athletes train, teams strategise, and fans engage. The book delves into the heart of this transformation, offering a comprehensive guide to the latest techniques, applications, and future directions in sports data analytics. The book begins with the fundamentals, introducing key concepts and methodologies for data collection, management, and preprocessing. It then explores various analytical techniques, from descriptive and predictive analytics to advanced AI applications like computer vision and natural language processing. It presents real-world case studies and applications, showcasing how data analytics can enhance in-game strategy, player performance, injury prevention, and fan engagement. Finally, the book addresses emerging technologies, ethical considerations, and the future landscape of sports data analytics.
Inbunden, Tyska, 2024
1 415 kr
Skickas inom 10-15 vardagar
Dieses Buch präsentiert die neuesten Erkenntnisse auf dem Gebiet des digitalen Ökosystems für Innovationen in der Landwirtschaft. Das Buch ist in zwei Abschnitte mit dreizehn Kapiteln unterteilt, die sich mit spezialisierten Bereichen befassen. Es gibt dem Leser einen Überblick über die Rahmenbedingungen und Technologien, die an der Digitalisierung der Landwirtschaft beteiligt sind, sowie über die Methoden zur Datenverarbeitung, Entscheidungsfindung und innovativen Dienste/Anwendungen zur Förderung digitaler Transformationen in der Landwirtschaft. Die Kapitel wurden von Experten verfasst, die ihre Erfahrungen in verständlicher Sprache durch Fallstudien, geeignete Illustrationen und Tabellen teilen. Der Inhalt wurde entwickelt, um die Bedürfnisse der Geoinformatik, Datenwissenschaften, Landwirtschafts- und Umweltwissenschaften von Universitäten, landwirtschaftlichen Universitäten, technologischen Universitäten, Forschungsinstituten und akademischen Hochschulen weltweit zu erfüllen.Es unterstützt Planer, politische Entscheidungsträger und Erweiterungswissenschaftler bei der Planung und nachhaltigen Bewirtschaftung von Landwirtschaft und natürlichen Ressourcen.
E-bok
Tyska, 20241 394 kr
Läs direkt efter köp
Dieses Buch präsentiert die neuesten Erkenntnisse auf dem Gebiet des digitalen Ökosystems für Innovationen in der Landwirtschaft. Das Buch ist in zwei Abschnitte mit dreizehn Kapiteln unterteilt, die sich mit spezialisierten Bereichen befassen. Es gibt dem Leser einen Überblick über die Rahmenbedingungen und Technologien, die an der Digitalisierung der Landwirtschaft beteiligt sind, sowie über die Methoden zur Datenverarbeitung, Entscheidungsfindung und innovativen Dienste/Anwendungen zur Förderung digitaler Transformationen in der Landwirtschaft. Die Kapitel wurden von Experten verfasst, die ihre Erfahrungen in verständlicher Sprache durch Fallstudien, geeignete Illustrationen und Tabellen teilen. Der Inhalt wurde entwickelt, um die Bedürfnisse der Geoinformatik, Datenwissenschaften, Landwirtschafts- und Umweltwissenschaften von Universitäten, landwirtschaftlichen Universitäten, technologischen Universitäten, Forschungsinstituten und akademischen Hochschulen weltweit zu erfüllen.Es unterstützt Planer, politische Entscheidungsträger und Erweiterungswissenschaftler bei der Planung und nachhaltigen Bewirtschaftung von Landwirtschaft und natürlichen Ressourcen.
Del 161 - Studies in Big Data
Harnessing Data Science for Sustainable Agriculture and Natural Resource Management
Inbunden, Engelska, 2024
2 375 kr
Skickas inom 10-15 vardagar
This book is a comprehensive resource that handles the issues of sustainable agriculture and natural resource management, aligned with the United Nations' Sustainable Development Goals (SDGs). The book is organized into five sections, Understanding the Problem, Data Collection and Cleaning, Exploratory Data Analysis and Visualization, Model Building, and Model Deployment. Each section covers a critical aspect of data science in this context and addresses specific SDGs 2—zero hunger, 6—clean water and sanitation, 12—responsible consumption and production, 13—climate action, and 15—Life on land. The organized sections are arranged to seamlessly follow the data science pipeline and provide practical guidance from problem understanding to its model deployment and stakeholder management. The book is useful for researchers, students, practitioners, and policymakers.
E-bok
Engelska, 20243 157 kr
Läs direkt efter köp
This book is a comprehensive resource that handles the issues of sustainable agriculture and natural resource management, aligned with the United Nations'' Sustainable Development Goals (SDGs). The book is organized into five sections, Understanding the Problem, Data Collection and Cleaning, Exploratory Data Analysis and Visualization, Model Building, and Model Deployment. Each section covers a critical aspect of data science in this context and addresses specific SDGs 2—zero hunger, 6—clean water and sanitation, 12—responsible consumption and production, 13—climate action, and 15—Life on land. The organized sections are arranged to seamlessly follow the data science pipeline and provide practical guidance from problem understanding to its model deployment and stakeholder management. The book is useful for researchers, students, practitioners, and policymakers.
Del 121 - Studies in Big Data
Digital Ecosystem for Innovation in Agriculture
Inbunden, Engelska, 2023
1 837 kr
Skickas inom 10-15 vardagar
This book presents the latest findings in the areas of digital ecosystem for innovation in agriculture. The book is organized into two sections with thirteen chapters dealing with specialized areas. It provides the reader with an overview of the frameworks and technologies involved in the digitalization of agriculture, as well as the data processing methods, decision-making processes, and innovative services/applications for enabling digital transformations in agriculture. The chapters are written by experts sharing their experiences in lucid language through case studies, suitable illustrations, and tables. The contents have been designed to fulfill the needs of geospatial, data science, agricultural, and environmental sciences of universities, agricultural universities, technological universities, research institutes, and academic colleges worldwide. It helps the planners, policymakers, and extension scientists plan and sustainably manage agriculture and natural resources.
E-bok
Engelska, 20232 373 kr
Läs direkt efter köp
This book presents the latest findings in the areas of digital ecosystem for innovation in agriculture. The book is organized into two sections with thirteen chapters dealing with specialized areas. It provides the reader with an overview of the frameworks and technologies involved in the digitalization of agriculture, as well as the data processing methods, decision-making processes, and innovative services/applications for enabling digital transformations in agriculture. The chapters are written by experts sharing their experiences in lucid language through case studies, suitable illustrations, and tables. The contents have been designed to fulfill the needs of geospatial, data science, agricultural, and environmental sciences of universities, agricultural universities, technological universities, research institutes, and academic colleges worldwide. It helps the planners, policymakers, and extension scientists plan and sustainably manage agriculture and natural resources.
Del 121 - Studies in Big Data
Digital Ecosystem for Innovation in Agriculture
Häftad, Engelska, 2024
1 837 kr
Skickas inom 10-15 vardagar
This book presents the latest findings in the areas of digital ecosystem for innovation in agriculture. The book is organized into two sections with thirteen chapters dealing with specialized areas. It provides the reader with an overview of the frameworks and technologies involved in the digitalization of agriculture, as well as the data processing methods, decision-making processes, and innovative services/applications for enabling digital transformations in agriculture. The chapters are written by experts sharing their experiences in lucid language through case studies, suitable illustrations, and tables. The contents have been designed to fulfill the needs of geospatial, data science, agricultural, and environmental sciences of universities, agricultural universities, technological universities, research institutes, and academic colleges worldwide. It helps the planners, policymakers, and extension scientists plan and sustainably manage agriculture and natural resources.