Akash Saxena – författare

Ecological informatics, more commonly known as Ecoinformatics, is the study of environmental sciences and ecological information. It is an emerging interdisciplinary framework for the management, analysis, and synthesis of ecological data with the help of advanced computational intelligence algorithms. Management in this context is data acquisition, preprocessing, and sharing the data. Analysis and synthesis are the process of extracting useful information and forecasting with the help of intelligent algorithms.The aim of this book is to encapsulate concepts and theories of artificial intelligence and computer vision algorithms used for the evaluation of various ecological informatics applications. It focuses on soft computing, machine learning, deep learning, artificial intelligence, bio-inspired algorithms, data analysis tools, data visualization tools, and computer vision algorithms used in ecological informatics. The book covers remote sensing applications, water bodies evaluation, agriculture mapping, aquatic mapping, forest management, and terrestrial ecosystems.The book will be useful to students, researchers, scientists, and field experts in directing their work towards this domain, to deliver and design models and prototypes for the benefit of society and the environment.

In light of recent environmental catastrophes and the COVID-19 pandemic, healthcare has received renewed focus and consideration from researchers across disciplines. Smart Electronics Devices and Models for Healthcare Systems offers a comprehensive exploration of the intersection between technology and healthcare, providing insights into the design, implementation, and impact of smart electronic devices and models in modern healthcare systems.With special emphasis on the Internet of Medical Things and Internet of Things technologies, this book delves into sensors design, measuring equipment, signal processing blocks, medical data processing blocks, and assistive technologies. Major focus areas include:Use of 5G technologies for the design and development of smart electronic devices and applications.Development of wireless sensor networks-based real-time healthcare infrastructure and e-health platform.Design and deployment of medical devices for the Internet of Things and Internet of Medical Things platforms such as remote patient monitoring technology.Illustrate the design and development of devices for emergent digital technologies such as telemedicine, artificial intelligence, and augmented reality.Explore robotic assistance models for medical practices, in order to improve patient care and accessibility.This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.

In light of recent environmental catastrophes and the COVID-19 pandemic, healthcare has received renewed focus and consideration from researchers across disciplines. Smart Electronics Devices and Models for Healthcare Systems offers a comprehensive exploration of the intersection between technology and healthcare, providing insights into the design, implementation, and impact of smart electronic devices and models in modern healthcare systems.With special emphasis on the Internet of Medical Things and Internet of Things technologies, this book delves into sensors design, measuring equipment, signal processing blocks, medical data processing blocks, and assistive technologies. Major focus areas include: Use of 5G technologies for the design and development of smart electronic devices and applications. Development of wireless sensor networks-based real-time healthcare infrastructure and e-health platform. Design and deployment of medical devices for the Internet of Things and Internet of Medical Things platforms such as remote patient monitoring technology. Illustrate the design and development of devices for emergent digital technologies such as telemedicine, artificial intelligence, and augmented reality. Explore robotic assistance models for medical practices, in order to improve patient care and accessibility. This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.

In light of recent environmental catastrophes and the COVID-19 pandemic, healthcare has received renewed focus and consideration from researchers across disciplines. Smart Electronics Devices and Models for Healthcare Systems offers a comprehensive exploration of the intersection between technology and healthcare, providing insights into the design, implementation, and impact of smart electronic devices and models in modern healthcare systems.With special emphasis on the Internet of Medical Things and Internet of Things technologies, this book delves into sensors design, measuring equipment, signal processing blocks, medical data processing blocks, and assistive technologies. Major focus areas include: Use of 5G technologies for the design and development of smart electronic devices and applications. Development of wireless sensor networks-based real-time healthcare infrastructure and e-health platform. Design and deployment of medical devices for the Internet of Things and Internet of Medical Things platforms such as remote patient monitoring technology. Illustrate the design and development of devices for emergent digital technologies such as telemedicine, artificial intelligence, and augmented reality. Explore robotic assistance models for medical practices, in order to improve patient care and accessibility. This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.

Ecological informatics, more commonly known as Ecoinformatics, is the study of environmental sciences and ecological information. It is an emerging interdisciplinary framework for the management, analysis, and synthesis of ecological data with the help of advanced computational intelligence algorithms. Management in this context is data acquisition, preprocessing, and sharing the data. Analysis and synthesis are the process of extracting useful information and forecasting with the help of intelligent algorithms.The aim of this book is to encapsulate concepts and theories of artificial intelligence and computer vision algorithms used for the evaluation of various ecological informatics applications. It focuses on soft computing, machine learning, deep learning, artificial intelligence, bio-inspired algorithms, data analysis tools, data visualization tools, and computer vision algorithms used in ecological informatics. The book covers remote sensing applications, water bodies evaluation, agriculture mapping, aquatic mapping, forest management, and terrestrial ecosystems.The book will be useful to students, researchers, scientists, and field experts in directing their work towards this domain, to deliver and design models and prototypes for the benefit of society and the environment.

Ecological informatics, more commonly known as Ecoinformatics, is the study of environmental sciences and ecological information. It is an emerging interdisciplinary framework for the management, analysis, and synthesis of ecological data with the help of advanced computational intelligence algorithms. Management in this context is data acquisition, preprocessing, and sharing the data. Analysis and synthesis are the process of extracting useful information and forecasting with the help of intelligent algorithms.The aim of this book is to encapsulate concepts and theories of artificial intelligence and computer vision algorithms used for the evaluation of various ecological informatics applications. It focuses on soft computing, machine learning, deep learning, artificial intelligence, bio-inspired algorithms, data analysis tools, data visualization tools, and computer vision algorithms used in ecological informatics. The book covers remote sensing applications, water bodies evaluation, agriculture mapping, aquatic mapping, forest management, and terrestrial ecosystems.The book will be useful to students, researchers, scientists, and field experts in directing their work towards this domain, to deliver and design models and prototypes for the benefit of society and the environment.

This edited volume explores the integration of artificial intelligence to improve crop production. It addresses the critical need for intelligent crop management in light of the world's escalating population. Encompassing a spectrum of technologies, including computer vision, image processing, soft computing, machine learning, and deep learning, the book explores advancements in decision-making systems. It integrates data science methodologies, Internet of Things, wireless communications, and a range of sensors and actuators to provide precise, timely, and cost-effective solutions to agricultural challenges, ultimately enhancing both the quality and quantity of crop yields. The book empowers its audience to direct their efforts towards designing models and prototypes that benefit society and the environment, making it an indispensable resource for those eager to shape the future of intelligent agriculture.It serves as a comprehensive guide for students, scholars, and academicians keen on delving into the transformative field of artificial intelligence in agriculture. Researchers, scientists, and field experts will find invaluable insights to guide their exploration and contribution to this domain.

This edited volume explores the integration of artificial intelligence to improve crop production. It addresses the critical need for intelligent crop management in light of the world's escalating population. Encompassing a spectrum of technologies, including computer vision, image processing, soft computing, machine learning, and deep learning, the book explores advancements in decision-making systems. It integrates data science methodologies, Internet of Things, wireless communications, and a range of sensors and actuators to provide precise, timely, and cost-effective solutions to agricultural challenges, ultimately enhancing both the quality and quantity of crop yields. The book empowers its audience to direct their efforts towards designing models and prototypes that benefit society and the environment, making it an indispensable resource for those eager to shape the future of intelligent agriculture.It serves as a comprehensive guide for students, scholars, and academicians keen on delving into the transformative field of artificial intelligence in agriculture. Researchers, scientists, and field experts will find invaluable insights to guide their exploration and contribution to this domain.