Sangeeta Singh – författare

This book explores the pivotal role of synaptic plasticity in the pathogenesis, progression, and potential treatment of neurodegenerative disorders. The initial chapter provides an in-depth understanding of the complexity and impact of neurodegenerative conditions. It discusses the association of mitochondrial dysfunction, epigenetic influences, and neuroinflammation with synaptic plasticity in neurodegenerative diseases. The following chapters review the dynamic changes that occur at the cellular and synaptic levels in Parkinson''s disease, Alzheimer''s disease, and Huntington''s disease, paving the way for innovative therapeutic strategies. Furthermore, the book presents various computational tools and methodologies essential for enhancing our understanding of synaptic plasticity. It examines the transformative role of artificial intelligence tools in addressing synaptic impairment across various neurodegenerative diseases.

Toward the end, the book explores the role of synaptic impairment and computational neuroscience in understanding and potentially treating conditions such as multiple sclerosis and amyotrophic lateral sclerosis. With its multifaceted approach, this book serves as a useful resource for researchers, clinicians, and students in the fields of neuroscience, computational biology, and neurology.

This book explores the pivotal role of synaptic plasticity in the pathogenesis, progression, and potential treatment of neurodegenerative disorders. The initial chapter provides an in-depth understanding of the complexity and impact of neurodegenerative conditions. It discusses the association of mitochondrial dysfunction, epigenetic influences, and neuroinflammation with synaptic plasticity in neurodegenerative diseases. The following chapters review the dynamic changes that occur at the cellular and synaptic levels in Parkinson''s disease, Alzheimer''s disease, and Huntington''s disease, paving the way for innovative therapeutic strategies. Furthermore, the book presents various computational tools and methodologies essential for enhancing our understanding of synaptic plasticity. It examines the transformative role of artificial intelligence tools in addressing synaptic impairment across various neurodegenerative diseases.

Toward the end, the book explores the role of synaptic impairment and computational neuroscience in understanding and potentially treating conditions such as multiple sclerosis and amyotrophic lateral sclerosis. With its multifaceted approach, this book serves as a useful resource for researchers, clinicians, and students in the fields of neuroscience, computational biology, and neurology.

This book addresses FinFET-based analog IC designing for fifth generation (5G) communication networks and highlights the latest advances, problems, and challenges while presenting the latest research results in the field of mmwave integrated circuits designing.

The wireless communication sector is experiencing exponential expansion, particularly in the areas of mobile data and the 5G mobile network, creating fresh market possibilities for designing the integrated circuits (ICs) needed in the industry. Drawing from scientific literature and practical realization, this book explores FinFET-based analog IC designing for 5G communication networks and considers the latest breakthroughs and obstacles. It also presents the recent research trends and future roadmaps for the 5G communication circuits.

RF Circuits for 5G Applications includes design guidelines to be considered when designing these circuits and detrimental scaling effects of the same. In addition, to enhance the usability of this book, the editors have included real-time problems in RFIC designing and case studies from experimental results, as well as clearly demarcated design guidelines for the 5G communication ICs designing.

Audience

The primary target audience includes researchers, postgraduate students, and industry professionals pursuing specializations in RF engineering, electronics engineering, electrical engineering, information, and communication technology.

This book addresses FinFET-based analog IC designing for fifth generation (5G) communication networks and highlights the latest advances, problems, and challenges while presenting the latest research results in the field of mmwave integrated circuits designing.

The wireless communication sector is experiencing exponential expansion, particularly in the areas of mobile data and the 5G mobile network, creating fresh market possibilities for designing the integrated circuits (ICs) needed in the industry. Drawing from scientific literature and practical realization, this book explores FinFET-based analog IC designing for 5G communication networks and considers the latest breakthroughs and obstacles. It also presents the recent research trends and future roadmaps for the 5G communication circuits.

RF Circuits for 5G Applications includes design guidelines to be considered when designing these circuits and detrimental scaling effects of the same. In addition, to enhance the usability of this book, the editors have included real-time problems in RFIC designing and case studies from experimental results, as well as clearly demarcated design guidelines for the 5G communication ICs designing.

Audience

The primary target audience includes researchers, postgraduate students, and industry professionals pursuing specializations in RF engineering, electronics engineering, electrical engineering, information, and communication technology.

This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2023). The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the volume. The book theme encompasses all industrial and non-industrial applications in which a combination of hardware and software provides operational guidance to devices in the execution of their functions based on the capture and processing of images. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, COVID-19, image processing and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in healthcare, brain-computer interface, cybersecurity, and social network analysis, natural language processing, etc.

This book focuses on summarizing recent research trends for new beyond-CMOS and beyond-silicon devices, circuits, and architectures for computing. It reports the recent achievements in this field from leading research trends around the globe, specifically focusing on nanoscale beyond silicon materials and devices, functional nanomaterials, nanoscale devices, beyond-CMOS devices materials, and their opportunities and challenges. The book is devoted to the fast-evolving field of modern material science and nanoelectronics, particularly to the physics and technology of functional nanomaterials and devices.