The perennial neurology classic, updated and expanded
The sixth edition of Duus' classic Topical Diagnosis in Neurology builds on the clear, integrated presentation of anatomy, function, and disorders of the central nervous system that made it a success for almost over five decades, serving as a quick reference for practitioners and trainees alike. It elucidates the neuroanatomical pathways that lead to specific clinical syndromes, and demonstrates how comprehensive anatomical knowledge combined with a thorough neurological examination can help localize and categorize a lesion and arrive at a differential diagnosis.
The time-tested logical, thematic structure with useful summaries, at the beginning of each chapter, and color-coded section headings enable readers to distinguish neuroanatomical from clinical material at a glance and enable efficient and time saving study.
Features of the sixth edition:
New tables and clinical case examples
Improved descriptions of neuroanatomical/neurophysiological basics in the context of clinical symptoms
Twenty-three new illustrations, to a total of more than 400 illustrations
A wide range of study aids and clinical correlations that support the emphasis on integrative medicine in the current medical school curricula
Topical Diagnosis in Neurology is an ideal reference for neurologists and neuroscientists who correlate neurological diseases with anatomical location to arrive at a diagnosis or understand a clinical syndrome. It is also an essential tool for trainees and advanced students who need a solid grounding in key neurofunctional relationships.
This book includes complimentary access to a digital copy on https: //medone.thieme.com.
Автор: Karimipour Hadis, Derakhshan Farnaz Название: Ai-Enabled Threat Detection and Security Analysis for Industrial Iot ISBN: 3030766128 ISBN-13(EAN): 9783030766122 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Artificial Intelligence for Threat Detection and Analysis in Industrial IoT: Applications and Challenges.- Complementing IIoT Services through AI: Feasibility and Suitability.- Data Security and Privacy in Industrial IoT.- Blockchain Applications in the Industrial Internet of Things.- Application of Deep Learning on IoT-enabled Smart Grid Monitoring.- Cyber Security of Smart Manufacturing Execution Systems: A Bibliometric Analysis.- The Role of Machine Learning in IIoT Through FPGAs.- Deep Representation Learning for Cyber-Attack Detection in Industrial IoT.- Classification and Intelligent Mining of Anomalies in Industrial IoT.- A Snapshot Ensemble Deep Neural Network Model for Attack Detection in Industrial Internet of Things.- Privacy Preserving Federated Learning Solution for Security of Industrial Cyber Physical Systems.- A Multi-Stage Machine Learning Model for Security Analysis in Industrial Control System.- A Recurrent Attention Model for Cyber Attack Classification.
Автор: Pattnaik Prasant Kumar, Mohanty Suneeta, Mohanty Satarupa Название: Smart Healthcare Analytics in Iot Enabled Environment ISBN: 3030375536 ISBN-13(EAN): 9783030375539 Издательство: Springer Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses various aspects of how smart healthcare can be used to detect and analyze diseases, the underlying methodologies, and related security concerns.
Описание: In recent years, new applications on computer-aided technologies for telemedicine have emerged. Furthermore, this volume includes comprehensive reviews describing procedures and techniques, which are crucial to support researchers in the field who want to replicate these methodologies in solving their related research problems.
Описание: This book addresses one of the most overlooked practical, methodological, and moral questions in the journey to secure and handle the massive amount of data being generated from smart devices interactions: the integration of Blockchain with 5G-enabled IoT.
Автор: Singh, Rajesh Gehlot, Anita Singh, Bhupendra (schematics Microelectronics, Dehradun, India) Choudhury, Sushabhan Название: Internet of things (iot) enabled automation in agriculture ISBN: 1032428740 ISBN-13(EAN): 9781032428741 Издательство: Taylor&Francis Рейтинг: Цена: 13781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides basic knowledge of the programming and interfacing of devices with IoT modem and programming. The aim is to explain the basic steps to understand the IoT and its application in agriculture field.
Автор: Siddhartha Bhattacharyya; Sushmita Mitra; Paramart Название: Intelligence Enabled Research ISBN: 9811520208 ISBN-13(EAN): 9789811520204 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gathers extended versions of papers presented at DoSIER 2019 (the First Doctoral Symposium on Intelligence Enabled Research, organized by RCC Institute of Information Technology, Kolkata, India).
Автор: Bhattacharyya Siddhartha, Das Gautam, de Sourav Название: Intelligence Enabled Research: DoSIER 2021 ISBN: 981190488X ISBN-13(EAN): 9789811904882 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gathers extended versions of papers presented at DoSIER 2021 (the 2021 Third Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during November 12–13, 2021). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.
Автор: Sheth Название: Semantic Web ISBN: 1466636106 ISBN-13(EAN): 9781466636101 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 27720.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Semantic web continues to be an increasingly important system for allowing end-users to share and communicate information online. <br><br><em>Semantic Web: Ontology and Knowledge Base Enabled Tools, Services and Applications</em> focuses on the information systems discipline and the tools and techniques utilized for the emerging use of semantic web. Covering topics on semantic search, ontologies, and recommendation systems, this publication is essential for academics, practitioners, and industry professionals.
Описание: The book covers a variety of topics in Information and Communications Technology (ICT) and their impact on innovation and business. The authors discuss various innovations, business and industrial motivations, and impact on humans and the interplay between those factors in terms of finance, demand, and competition. Topics discussed include the convergence of Machine to Machine (M2M), Internet of Things (IoT), Social, and Big Data. They also discuss AI and its integration into technologies from machine learning, predictive analytics, security software, to intelligent agents, and many more. Contributions come from academics and professionals around the world.
Covers the most recent practices in ICT related topics pertaining to technological growth, innovation, and business;Presents a survey on the most recent technological areas revolutionizing how humans communicate and interact;Features four sections: IoT, Wireless Ad Hoc & Sensor Networks, Fog Computing, and Big Data Analytics.
Автор: Prasant Kumar Pattnaik Название: Smart Healthcare Analytics in IoT Enabled Environment ISBN: 3030375501 ISBN-13(EAN): 9783030375508 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses various aspects of how smart healthcare can be used to detect and analyze diseases, the underlying methodologies, and related security concerns.
Powertrain electrification, fuel decarburization, and energy diversification are techniques that are spreading all over the world, leading to cleaner and more efficient vehicles.
Hybrid electric vehicles (HEVs) are considered a promising technology today to address growing air pollution and energy deprivation. To realize these gains and still maintain good performance, it is critical for HEVs to have sophisticated energy management systems. Supervised by such a system, HEVs could operate in different modes, such as full electric mode and power split mode. Hence, researching and constructing advanced energy management strategies (EMSs) is important for HEVs performance. There are a few books about rule- and optimization-based approaches for formulating energy management systems. Most of them concern traditional techniques and their efforts focus on searching for optimal control policies offline. There is still much room to introduce learning-enabled energy management systems founded in artificial intelligence and their real-time evaluation and application.
In this book, a series hybrid electric vehicle was considered as the powertrain model, to describe and analyze a reinforcement learning (RL)-enabled intelligent energy management system. The proposed system can not only integrate predictive road information but also achieve online learning and updating. Detailed powertrain modeling, predictive algorithms, and online updating technology are involved, and evaluation and verification of the presented energy management system is conducted and executed.
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