Автор: Khanna Ashish, Gupta Deepak, Pуlkowski Zdzislaw Название: Data Analytics and Management: Proceedings of Icdam ISBN: 981158334X ISBN-13(EAN): 9789811583346 Издательство: Springer Цена: 44350.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2020), held at Jan Wyzykowski University, Poland, during June 2020. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks.
Introduction.- Section 1: Industrial Internet of things (IIoT).- Introduction to Industrial Internet of things (IIoT).- IIoT Architecture.- IIoT Key Technologies .- IIoT Use Cases.- Section 2: Smart Sensors for IIoT.- How Smart? - Role of Smart Sensors in IIoT.- Challenges to IIoT Smart Sensor Manufacturing and Deployment.- Section 3: IIoT Smart.- Sensors and Business Aspects.- Smart Sensor IIoT Businesses.- Predictive Analytics with Sensor Data.- Efficient Business Predictions .- Section 4: IIoT Smart Sensors Potential and Applications.- Potential and Importance of Smart Sensors for IIoT.- Real-World Applications of Smart Sensor IIoT.- Section 5: IIoT Smart Sensor Case Studies.- Connected Vehicles - Intelligent Transport Systems.- Internet of Drones.- Precision Farming/Agriculture.- Healthcare.- Conclusion.
Описание: World of Virtual Reality (VR) in Healthcare.- Towards a VIREAL Platform: Virtual Reality in Cognitive and Behavioural Training for Autistic Individuals.- Assisting Students To Understand Mathematical Graphs Using Virtual Reality Application.- Short Time Frequency Analysis of Theta Activity for the Diagnosis of Bruxism on EEG Sleep Record.- Hand Gesture Recognition for Human Computer Interaction and its Applications in Virtual Reality.- Fluid Dynamics in Healthcare Industries: Computational Intelligence Prospective.- A Novel Approach Towards using Big Data and IoT for Improving the Efficiency of m-Health Systems.- Using Artificial Intelligence to Bring Accurate Real-Time Simulation To Virtual Reality.- Application Of Chicken Swarm Optimization In Detection of Cancer and Virtual Reality.- Computational Fluid Dynamics Simulations with Applications in Virtual Reality Aided Health Care Diagnostics.- Data Analysis and Classification of Cardiovascular Disease and Risk Factors Associated With it in India.
Master advanced techniques and algorithms for deep learning with PyTorch using real-world examples
Key Features
Understand how to use PyTorch 1.x to build advanced neural network models
Learn to perform a wide range of tasks by implementing deep learning algorithms and techniques
Gain expertise in domains such as computer vision, NLP, Deep RL, Explainable AI, and much more
Book Description
Deep learning is driving the AI revolution, and PyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch book will help you uncover expert techniques to get the most out of your data and build complex neural network models.
The book starts with a quick overview of PyTorch and explores using convolutional neural network (CNN) architectures for image classification. You'll then work with recurrent neural network (RNN) architectures and transformers for sentiment analysis. As you advance, you'll apply deep learning across different domains, such as music, text, and image generation using generative models and explore the world of generative adversarial networks (GANs). You'll not only build and train your own deep reinforcement learning models in PyTorch but also deploy PyTorch models to production using expert tips and techniques. Finally, you'll get to grips with training large models efficiently in a distributed manner, searching neural architectures effectively with AutoML, and rapidly prototyping models using PyTorch and fast.ai.
By the end of this PyTorch book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models.
What You Will Learn
Implement text and music generating models using PyTorch
Build a deep Q-network (DQN) model in PyTorch
Export universal PyTorch models using Open Neural Network Exchange (ONNX)
Become well-versed with rapid prototyping using PyTorch with fast.ai
Perform neural architecture search effectively using AutoML
Easily interpret machine learning (ML) models written in PyTorch using Captum
Design ResNets, LSTMs, Transformers, and more using PyTorch
Find out how to use PyTorch for distributed training using the torch.distributed API
Who this book is for
This book is for data scientists, machine learning researchers, and deep learning practitioners looking to implement advanced deep learning paradigms using PyTorch 1.x. Working knowledge of deep learning with Python programming is required.
Автор: Arora, Ashish, Название: Lithium-ion battery failures in consumer electronics / ISBN: 1630816035 ISBN-13(EAN): 9781630816032 Издательство: Artech House Рейтинг: Цена: 17371.00 р. Наличие на складе: Нет в наличии.
Описание: This comprehensive resource caters to system designers that are looking to incorporate lithium ion (li-ion) batteries in their applications. Detailed discussion of the various system considerations that must be addressed at the design stage to reduce the risk of failures in the field is presented. The book includes technical details of all state-of-the-art Li-on energy storage subsystems and their requirements, and provides a system designer a single resource detailing all of the common issues navigated when using Li-ion batteries to reduce the risk of field failures. The book details the various industry standards that are applicable to the subsystems of Li-ion energy storage systems and how the requirements of these standards may impact the design of their system. Checklists are included to help readers evaluate their own battery system designs and identify gaps in the designs that increase the risk of field failures. The book is packed with numerous examples of issues that have caused field failures and how a proper design/assembly process could have reduced the risk of these failures.
Описание: This two-volume set (CCIS 1393 and CCIS 1394) constitutes selected and revised papers of the 4th International Conference on Advanced Informatics for Computing Research, ICAICR 2020, held in Gurugram, India, in December 2020.
Автор: Sarin Ashish Название: Spring Roo 1.1 Cookbook ISBN: 1849514585 ISBN-13(EAN): 9781849514583 Издательство: Неизвестно Рейтинг: Цена: 10114.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Gupta Ashish Название: Apache Mahout Clustering Designs ISBN: 1783284439 ISBN-13(EAN): 9781783284436 Издательство: Неизвестно Рейтинг: Цена: 7171.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Trivedi Smita Roy, Kyal Ashish H. Название: Effective Trading in Financial Markets Using Technical Analysis ISBN: 0367313545 ISBN-13(EAN): 9780367313548 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a comprehensive guide to effective trading in the global markets through the application of technical analysis. It discusses trend analysis, candlestick patterns, momentum, volume and volatility indicators, Elliott Wave, Time Cycles with trade setups, backtesting of technical analysis strategies and algorithmic trading.
Автор: Bateman Blaine, Jha Ashish Ranjan, Johnston Benjamin Название: The Supervised Learning Workshop, Second Edition ISBN: 1800209045 ISBN-13(EAN): 9781800209046 Издательство: Неизвестно Рейтинг: Цена: 7171.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cut through the noise and get real results with a step-by-step approach to understanding supervised learning algorithms
Описание: This two-volume set (CCIS 1393 and CCIS 1394) constitutes selected and revised papers of the 4th International Conference on Advanced Informatics for Computing Research, ICAICR 2020, held in Gurugram, India, in December 2020.
Автор: Singh Joginder, Vyas Ashish, Wang Shanquan Название: Microbial Biotechnology: Basic Research and Applications ISBN: 9811528195 ISBN-13(EAN): 9789811528194 Издательство: Springer Цена: 30745.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 1: The contribution of microbial biotechnology for achieving sustainable development.- Chapter 2: Microbe-mediated genetic engineering for enhancement of nutritional value in food crops .- Chapter 3: Role of microbes for attaining enhanced food crop production.- Chapter 4: Beneficial microbes as an alternative of food flavour ingredients for achieving the sustainability.- Chapter 5: Microalgae as nutraceutical for achieving sustainable food solution in future.- Chapter 6: Sustainable Approaches to Remove Heavy Metals from Water.- Chapter 7: Microbial Synthesis of Nanoparticles and Their Applications for Wastewater Treatment.- Chapter 8: Microbial strategies for controlling harmful cyanobacterial blooms.- Chapter 9: Biological strategies against biofilms.- Chapter 10: Microbial options against Antibiotic Resistance Bacteria .- Chapter 11: New and Advanced Technologies in Aquaculture to Support Environmental Sustainable Development.- Chapter 12: Current trends and aspects of microbiological biogas production.- Chapter 13: Utilization of Biosensors for Environment Monitoring.- Chapter 14: Biological Biosensors for monitoring and diagnosis.- Chapter15: Aflatoxin: Occurrence, Regulation, and Detection in Food and Feed.- Chapter 16: Recent approaches used in environmental monitoring methods.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
