Advances in Imaging and Electron Physics, Volume 226 merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy.
This book offers an in-depth and recent account of the research in Artificial Intelligence (AI) technologies and how it is impacting and shaping the field of international human resource management (IHRM).
The past three decades have witnessed the great success of lithium-ion batteries, especially in the areas of 3C products, electrical vehicles, and smart grid applications.
This book elaborates fuzzy machine and deep learning models for single class mapping from multi-sensor, multi-temporal remote sensing images while handling mixed pixels and noise.
This book offers an in-depth and recent account of the research in Artificial Intelligence (AI) technologies and how it is impacting and shaping the field of international human resource management (IHRM).
The past three decades have witnessed the great success of lithium-ion batteries, especially in the areas of 3C products, electrical vehicles, and smart grid applications.
This book offers a thorough exploration of the three-dimensional integration of resistive memory in all aspects, from the materials, devices, array-level issues, and integration structures to its applications.
AI for Scientific Discovery provides an accessible introduction to the wide-ranging applications of artificial intelligence (AI) technologies in scientific research and discovery across the full breadth of scientific disciplines.
Video has rich information including meta-data, visual, audio, spatial and temporal data which can be analysed to extract a variety of low and high-level features to build predictive computational models using machine-learning algorithms to discover interesting patterns, concepts, relations, and associations.
The digital twin of a physical system is an adaptive computer analog which exists in the cloud and adapts to changes in the physical system dynamically.
Focusing on the orbital mechanics tools and techniques necessary to design, predict, and guide a trajectory of a spacecraft traveling between two or more bodies in a Solar System, this book covers the dynamical theory necessary for describing the motion of bodies in space, examines the N-body problem, and shows applications using this theory for designing interplanetary missions.
The digital twin of a physical system is an adaptive computer analog which exists in the cloud and adapts to changes in the physical system dynamically.
This book will give insight into emerging semiconductor devices from their applications in electronic circuits, which form the backbone of electronic equipment.
Artificial intelligence and the use of computational methods to extract information from data are providing adequate tools to monitor and predict water pollutants and water quality issues faster and more accurately.
This book offers a thorough exploration of the three-dimensional integration of resistive memory in all aspects, from the materials, devices, array-level issues, and integration structures to its applications.
This book will give insight into emerging semiconductor devices from their applications in electronic circuits, which form the backbone of electronic equipment.
AI for Scientific Discovery provides an accessible introduction to the wide-ranging applications of artificial intelligence (AI) technologies in scientific research and discovery across the full breadth of scientific disciplines.
Video has rich information including meta-data, visual, audio, spatial and temporal data which can be analysed to extract a variety of low and high-level features to build predictive computational models using machine-learning algorithms to discover interesting patterns, concepts, relations, and associations.
This book provides insights into how to approach and utilise data science tools, technologies, and methodologies related to artificial intelligence (AI) in industrial contexts.
This book provides insights into how to approach and utilise data science tools, technologies, and methodologies related to artificial intelligence (AI) in industrial contexts.
Memristors have provided a new direction of thinking for circuit designers to overcome the limits of scalability and for thinking of building systems beyond Moore's law.
The text covers fiber optic sensors for biosensing and photo-detection, graphene and CNT-based sensors for glucose, cholesterol, and dopamine detection, and implantable sensors for detecting physiological, bio-electrical, biochemical, and metabolic changes in a comprehensive manner.
Memristors have provided a new direction of thinking for circuit designers to overcome the limits of scalability and for thinking of building systems beyond Moore's law.
Artificial intelligence and the use of computational methods to extract information from data are providing adequate tools to monitor and predict water pollutants and water quality issues faster and more accurately.
This book elaborates fuzzy machine and deep learning models for single class mapping from multi-sensor, multi-temporal remote sensing images while handling mixed pixels and noise.
Focusing on the orbital mechanics tools and techniques necessary to design, predict, and guide a trajectory of a spacecraft traveling between two or more bodies in a Solar System, this book covers the dynamical theory necessary for describing the motion of bodies in space, examines the N-body problem, and shows applications using this theory for designing interplanetary missions.
Archaeological and anthropological investigations of depictions seldom extend beyond a single culture or a single geographical location, although there is a powerful factor common to all depictions, the factor of human perception.
