Priya Gupta – författare

This book provides an in-depth exploration of the integration of cloud and edge computing in artificial intelligence, addressing critical topics such as hybrid architectures, real-time data processing, security, and practical artificial intelligence applications. Offers a detailed exploration of foundational concepts and practical applications of edge artificial intelligence, making it a comprehensive resource for understanding this emerging technology. Features real-world case studies from various sectors such as smart cities, industrial applications, healthcare, and agriculture, providing practical insights into how edge artificial intelligence is being applied. Discusses the latest trends and future directions in edge artificial intelligence, including advancements in edge hardware and software, federated learning, and the potential impact of blockchain technology. Addresses critical issues like security threats, privacy-preserving techniques, and the importance of explainable artificial intelligence. Highlights case studies and real-world examples to illustrate the tangible benefits of edge artificial intelligence. This book is primarily written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

This book provides an in-depth exploration of the integration of cloud and edge computing in artificial intelligence, addressing critical topics such as hybrid architectures, real-time data processing, security, and practical artificial intelligence applications. Offers a detailed exploration of foundational concepts and practical applications of edge artificial intelligence, making it a comprehensive resource for understanding this emerging technology. Features real-world case studies from various sectors such as smart cities, industrial applications, healthcare, and agriculture, providing practical insights into how edge artificial intelligence is being applied. Discusses the latest trends and future directions in edge artificial intelligence, including advancements in edge hardware and software, federated learning, and the potential impact of blockchain technology. Addresses critical issues like security threats, privacy-preserving techniques, and the importance of explainable artificial intelligence. Highlights case studies and real-world examples to illustrate the tangible benefits of edge artificial intelligence. This book is primarily written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

This book covers essential molecular techniques for crop improvement, including genotyping methods, genetic mapping, and marker-assisted selection. The book examines statistical tools for marker analysis, allele mining strategies, and gene pyramiding approaches. It explores comparative genomics, proteomics applications, and biotechnology methods including recombinant DNA technology and also includes:

Comprehensive coverage of molecular markers and genotyping techniques for crop improvement Detailed statistical tools and methodologies for marker analysis and genetic mapping Practical applications of marker-assisted selection and allele mining strategies Integration of genomics, proteomics, and biotechnology in plant breeding programs Current approaches to gene pyramiding and development of enhanced derived varieties

Additional chapters address nanotechnology applications, male sterility systems, intellectual property rights, and bioinformatics tools. Designed for students and researchers in plant breeding, genetics, and biotechnology programs.

This title has been co-published with Elite Publishing House. T&F does not sell or distribute the print versions in India.

This book covers essential molecular techniques for crop improvement, including genotyping methods, genetic mapping, and marker-assisted selection. The book examines statistical tools for marker analysis, allele mining strategies, and gene pyramiding approaches. It explores comparative genomics, proteomics applications, and biotechnology methods including recombinant DNA technology and also includes:

Comprehensive coverage of molecular markers and genotyping techniques for crop improvement Detailed statistical tools and methodologies for marker analysis and genetic mapping Practical applications of marker-assisted selection and allele mining strategies Integration of genomics, proteomics, and biotechnology in plant breeding programs Current approaches to gene pyramiding and development of enhanced derived varieties

Additional chapters address nanotechnology applications, male sterility systems, intellectual property rights, and bioinformatics tools. Designed for students and researchers in plant breeding, genetics, and biotechnology programs.

This title has been co-published with Elite Publishing House. T&F does not sell or distribute the print versions in India.

This book provides an in-depth exploration of the integration of cloud and edge computing in artificial intelligence, addressing critical topics such as hybrid architectures, real-time data processing, security, and practical artificial intelligence applications.Offers a detailed exploration of foundational concepts and practical applications of edge artificial intelligence, making it a comprehensive resource for understanding this emerging technology.Features real-world case studies from various sectors such as smart cities, industrial applications, healthcare, and agriculture, providing practical insights into how edge artificial intelligence is being applied.Discusses the latest trends and future directions in edge artificial intelligence, including advancements in edge hardware and software, federated learning, and the potential impact of blockchain technology.Addresses critical issues like security threats, privacy-preserving techniques, and the importance of explainable artificial intelligence.Highlights case studies and real-world examples to illustrate the tangible benefits of edge artificial intelligence.This book is primarily written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

This book covers essential molecular techniques for crop improvement, including genotyping methods, genetic mapping, and marker-assisted selection. The book examines statistical tools for marker analysis, allele mining strategies, and gene pyramiding approaches. It explores comparative genomics, proteomics applications, and biotechnology methods including recombinant DNA technology and also includes:Comprehensive coverage of molecular markers and genotyping techniques for crop improvementDetailed statistical tools and methodologies for marker analysis and genetic mappingPractical applications of marker-assisted selection and allele mining strategiesIntegration of genomics, proteomics, and biotechnology in plant breeding programsCurrent approaches to gene pyramiding and development of enhanced derived varietiesAdditional chapters address nanotechnology applications, male sterility systems, intellectual property rights, and bioinformatics tools. Designed for students and researchers in plant breeding, genetics, and biotechnology programs.This title has been co-published with Elite Publishing House. T&F does not sell or distribute the print versions in India.

This book is a multi-disciplinary effort that involves world-wide experts from diverse fields, such as artificial intelligence, human computer interaction, information technology, data mining, statistics, adaptive user interfaces, decision support systems, marketing, and consumer behavior.  It comprehensively covers the topic of recommender systems, which provide personalized recommendations of items or services to the new users based on their past behavior.  Recommender system methods have been adapted to diverse applications including social networking, movie recommendation, query log mining, news recommendations, and computational advertising.This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. Recommendations in agricultural or healthcare domains and contexts, the context of a recommendation can be viewed as important side information that affects the recommendation goals. Different types of context such as temporal data, spatial data, social data, tagging data, and trustworthiness are explored. This book illustrates how this technology can support the user in decision-making, planning and purchasing processes in agricultural & healthcare sectors.

This book is a multi-disciplinary effort that involves world-wide experts from diverse fields, such as artificial intelligence, human computer interaction, information technology, data mining, statistics, adaptive user interfaces, decision support systems, marketing, and consumer behavior.  It comprehensively covers the topic of recommender systems, which provide personalized recommendations of items or services to the new users based on their past behavior.  Recommender system methods have been adapted to diverse applications including social networking, movie recommendation, query log mining, news recommendations, and computational advertising.

This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. Recommendations in agricultural or healthcare domains and contexts, the context of a recommendation can be viewed as important side information that affects the recommendation goals. Different types of context such as temporal data, spatial data, social data, tagging data, and trustworthiness are explored. This book illustrates how this technology can support the user in decision-making, planning and purchasing processes in agricultural & healthcare sectors.

This book is a multi-disciplinary effort that involves world-wide experts from diverse fields, such as artificial intelligence, human computer interaction, information technology, data mining, statistics, adaptive user interfaces, decision support systems, marketing, and consumer behavior.  It comprehensively covers the topic of recommender systems, which provide personalized recommendations of items or services to the new users based on their past behavior.  Recommender system methods have been adapted to diverse applications including social networking, movie recommendation, query log mining, news recommendations, and computational advertising.

This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. Recommendations in agricultural or healthcare domains and contexts, the context of a recommendation can be viewed as important side information that affects the recommendation goals. Different types of context such as temporal data, spatial data, social data, tagging data, and trustworthiness are explored. This book illustrates how this technology can support the user in decision-making, planning and purchasing processes in agricultural & healthcare sectors.