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IEEE-NCETSTEA

IEEE-NCETSTEA PDF Author:
Publisher:
ISBN:
Category : Sustainable engineering
Languages : en
Pages :

Book Description


IEEE-NCETSTEA

IEEE-NCETSTEA PDF Author:
Publisher:
ISBN:
Category : Sustainable engineering
Languages : en
Pages :

Book Description


Electron Statistics In Quantum Confined Superlattices

Electron Statistics In Quantum Confined Superlattices PDF Author: Kamakhya Prasad Ghatak
Publisher: World Scientific
ISBN: 9811263671
Category : Science
Languages : en
Pages : 790

Book Description
The concepts of the Electron Statistics (ES) and the ES dependent electronic properties are basic pillars in semiconductor electronics and this first-of-its-kind book deals with the said concepts in doping superlattices (SLs), quantum well, quantum wire and quantum dot SLs, effective mass SLs, SLs with graded interfaces and Fibonacci SLs under different physical conditions respectively. The influences of intense radiation and strong electric fields under said concepts have been considered together with the heavily doped SLs in this context on the basis of newly formulated the electron energy spectra in all the cases. We have suggested experimental determinations of the Einstein relation for the Diffusivity-Mobility ratio, the Debye screening length, Elastic Constants and the content of this book finds 25 different applications in the arena of nanoscience and nanotechnology.This book contains hundred open research problems which form the integral part of the text and are useful for both PhD aspirants and researchers. It is written for post graduate students of various departments of different academic organizations, engineers and professionals in the fields of solid state electronics, materials science, solid state sciences, nano-science, nanotechnology and nano materials in general.

Emerging Technologies in Biomedical Engineering and Sustainable TeleMedicine

Emerging Technologies in Biomedical Engineering and Sustainable TeleMedicine PDF Author: Jihad Alja’am
Publisher: Springer Nature
ISBN: 3030146472
Category : Technology & Engineering
Languages : en
Pages : 194

Book Description
This book presents the most recent research and applications in Biomedical Engineering, electronic health and TeleMedicine. Top-scholars and research leaders in the field contributed to the book. It covers a broad range of applications including smart platforms like DietHub which connects patients with doctors online. The book highlights the advantages of Telemedicine to improve the healthcare services and how it can contribute to the homogenization of medicine without any geographical barriers. Telemedicine transforms local hospitals, with limited services, into a node of an integrated network. In this manner, these nodes start to play an important role in preventive medicine and in high-level management of chronic diseases. The authors also discuss the challenges related to “health informatics” and in “e-health management”. The topics of the book include: synchronous and asynchronous telemedicine with deep discussions on e-health applications, virtual medical assistance, real-time virtual visits, digital telepathology, home health monitoring, and medication adherence, wearable sensors, tele-monitoring hubs and sensors, Internet of Things, augmented and virtual reality as well as e-learning technologies. The scope of the book is quite unique particularly in terms of the application domains that it targets. It is a unique hub for the dissemination of state of the art research in the telemedicine field and healthcare ecosystems. The book is a reference for graduate students, doctors, and researchers to discover the most recent findings, and hence, it achieves breakthroughs and pushes the boundaries in the related fields.

Futuristic Communication and Network Technologies

Futuristic Communication and Network Technologies PDF Author: N. Subhashini
Publisher: Springer Nature
ISBN: 9811997489
Category : Technology & Engineering
Languages : en
Pages : 505

Book Description
This book presents select proceedings of the Virtual International Conference on Futuristic Communication and Network Technologies (VICFCNT 2021). It covers various domains in communication engineering and networking technologies. This volume comprises recent research in areas like cyber-physical systems, acoustics, speech & video signal Processing, and the Internet of Things. This book is a collated work of academicians, researchers, and industry personnel from the international arena. This book will be useful for researchers, professionals, and engineers working in the core areas of electronics and communication.

"Sustainable Technology and Engineering Applications (NCETSTEA), 2020 National Conference on Emerging Trends On".

Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Autonomous and Connected Heavy Vehicle Technology

Autonomous and Connected Heavy Vehicle Technology PDF Author: Rajalakshmi Krishnamurthi
Publisher: Academic Press
ISBN: 0323907156
Category : Technology & Engineering
Languages : en
Pages : 456

Book Description
Autonomous and Connected Heavy Vehicle Technology presents the fundamentals, definitions, technologies, standards and future developments of autonomous and connected heavy vehicles. This book provides insights into various issues pertaining to heavy vehicle technology and helps users develop solutions towards autonomous, connected, cognitive solutions through the convergence of Big Data, IoT, cloud computing and cognition analysis. Various physical, cyber-physical and computational key points related to connected vehicles are covered, along with concepts such as edge computing, dynamic resource optimization, engineering process, methodology and future directions. The book also contains a wide range of case studies that help to identify research problems and an analysis of the issues and synthesis solutions. This essential resource for graduate-level students from different engineering disciplines such as automotive and mechanical engineering, computer science, data science and business analytics combines both basic concepts and advanced level content from technical experts. Covers state-of-the-art developments and research in vehicle sensor technology, vehicle communication technology, convergence with emerging technologies, and vehicle software and hardware integration Addresses challenges such as optimization, real-time control systems for distance and steering mechanism, and cognitive and predictive analysis Provides complete product development, commercial deployment, technological and performing costs and scaling needs

Deep Learning in Medical Image Analysis

Deep Learning in Medical Image Analysis PDF Author: R. Indrakumari
Publisher: CRC Press
ISBN: 104004798X
Category : Computers
Languages : en
Pages : 197

Book Description
This book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about deep learning in medical image processing techniques. The post-pandemic situation teaches us the importance of doctors, medical analysis, and diagnosis of diseases in a rapid manner. This book provides a snapshot of the state of current research between deep learning, medical image processing, and health care with special emphasis on saving human life. The chapters cover a range of advanced technologies related to patient health monitoring, predicting diseases from genomic data, detecting artefactual events in vital signs monitoring data, and managing chronic diseases. This book Delivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the field Presents key principles by implementing algorithms from scratch and using simple MATLAB®/Octave scripts with image data Provides an overview of the physics of medical image processing alongside discussing image formats and data storage, intensity transforms, filtering of images and applications of the Fourier transform, three-dimensional spatial transforms, volume rendering, image registration, and tomographic reconstruction Highlights the new potential applications of machine learning techniques to the solution of important problems in biomedical image applications This book is for students, scholars, and professionals of biomedical technology and healthcare data analytics.

Intelligent Systems in Digital Transformation

Intelligent Systems in Digital Transformation PDF Author: Cengiz Kahraman
Publisher: Springer Nature
ISBN: 3031165985
Category : Technology & Engineering
Languages : en
Pages : 626

Book Description
This book states that intelligent digital transformation is the process of using artificial intelligence techniques in digital technologies such as machine learning, natural language processing, automation and robotics to transform existing non-digital business processes and services to meet with the evolving market and customer expectations. This book including 26 chapters, each written by their experts, focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent systems. Intelligent digital transformation examples from almost all sectors including health, education, manufacturing, tourism, insurance, smart cities, banking, energy and transportation are introduced by theory and applications. The intended readers are managers responsible for digital transformation, intelligent systems researchers, lecturers, and MSc and PhD students studying digital transformation.

Advances in Data-Driven Computing and Intelligent Systems

Advances in Data-Driven Computing and Intelligent Systems PDF Author: Swagatam Das
Publisher: Springer Nature
ISBN: 9819995248
Category :
Languages : en
Pages : 553

Book Description


AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications

AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications PDF Author: Angalaeswari, S.
Publisher: IGI Global
ISBN: 1668488183
Category : Technology & Engineering
Languages : en
Pages : 308

Book Description
Artificial intelligence techniques applied in the power system sector make the prediction of renewable power source generation and demand more efficient and effective. Additionally, since renewable sources are intermittent in nature, it is necessary to predict and analyze the data of input sources. Hence, further study on the prediction and data analysis of renewable energy sources for sustainable development is required. AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications focuses on artificial intelligence techniques for the evolving power system field, electric vehicle market, energy storage elements, and renewable energy source integration as distributed generators. Covering key topics such as deep learning, artificial intelligence, and smart solar energy, this premier reference source is ideal for environmentalists, computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.