Описание: This book provides a systematic and comprehensive overview of AI and machine learning which have got the ability to identify patterns in large and complex data sets. A remarkable success has been experienced in the last decade by emulating the brain computer interface. It presents the cognitive science methods and technologies that have played an important role at the core of practical solutions for a wide scope of tasks between handheld apps, industrial process control, autonomous vehicles, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The chapters in this book focuses on audiences interested in machine learning, cognitive and neuro-inspired computational systems, their theories, mechanisms, and architecture, which underline human and animal behaviour, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions on applications of machine learning and cognitive science such as healthcare products, medical electronics, and gaming.
Автор: Bandyopadhyay Mainak, Rout Minakhi, Chandra Satapathy Suresh Название: Machine Learning Approaches for Urban Computing ISBN: 9811609349 ISBN-13(EAN): 9789811609343 Издательство: Springer Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses various machine learning applications and models, developed using heterogeneous data, which helps in a comprehensive prediction, optimization, association analysis, cluster analysis and classification-related applications for various activities in urban area.
Автор: Margaret E. Jefferies; Wai-Kiang Yeap Название: Robotics and Cognitive Approaches to Spatial Mapping ISBN: 3642094627 ISBN-13(EAN): 9783642094620 Издательство: Springer Рейтинг: Цена: 22201.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This important work is an attempt to synthesize two areas that need to be treated in tandem. The book brings together the fields of robot spatial mapping and cognitive spatial mapping, which share some common core problems.
Описание: This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the future directions in this under-explored domain. In big data era, an increasingly massive volume of data is generated and transmitted in Internet of Things (IoTs), which poses great threats to privacy protection. Motivated by this, an emerging research topic, machine learning-driven privacy preservation, is fast booming to address various and diverse demands of IoTs. However, there is no existing literature discussion on this topic in a systematically manner. The issues of existing privacy protection methods (differential privacy, clustering, anonymity, etc.) for IoTs, such as low data utility, high communication overload, and unbalanced trade-off, are identified to the necessity of machine learning-driven privacy preservation. Besides, the leading and emerging attacks pose further threats to privacy protection in this scenario. To mitigate the negative impact, machine learning-driven privacy preservation methods for IoTs are discussed in detail on both the advantages and flaws, which is followed by potentially promising research directions. Readers may trace timely contributions on machine learning-driven privacy preservation in IoTs. The advances cover different applications, such as cyber-physical systems, fog computing, and location-based services. This book will be of interest to forthcoming scientists, policymakers, researchers, and postgraduates.
Автор: Bandyopadhyay Mainak, Rout Minakhi, Chandra Satapathy Suresh Название: Machine Learning Approaches for Urban Computing ISBN: 9811609373 ISBN-13(EAN): 9789811609374 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses various machine learning applications and models, developed using heterogeneous data, which helps in a comprehensive prediction, optimization, association analysis, cluster analysis and classification-related applications for various activities in urban area.
Описание: Face Recognition using Raspberry PI.- Features Extraction for Network Intrusion Detection using Genetic Algorithm(GA).- Chemical Sensing through Cogno-Monitoring System for Air Quality Evaluation.- 3 DOF Autonomous Control Analysis of an Quadcopter Using Artificial Neural Network.- Cognitive Demand Forecasting with Novel Features using Word2Vec and Session of the Day.- A Curvelet Transformer Based Computationally Efficient Speech Enhancement for Kalman Filter.- Dexterous Trashbot.- Automated Question Generation and Answer Verification using Visual Data.- Comprehensive Survey on Deep Learning Approaches in Predictive Business Process Monitoring.- Machine Learning Based Risk-Adaptive Access Control System to Identify Genuineness of the Requester.- An Approach to End to End Anonymity.- PHT and KELM Based Face Recognition.- Link Failure Detection in MANET: A Survey.- Review of Low Power Techniques for Neural Recording Applications.- Machine Learning Techniques for Thyroid Disease Diagnosis: A Systematic Review.- Heuristic Approach to Evaluate the Performance of Optimization Algorithms in VLSI Floor Planning for ASIC design.- Enhancement in Teaching Quality Methodology by Predicting Attendance using Machine Learning Technique.- Improvement in Extended Object tracking with the Vision-Based Algorithm.
Описание: Face Recognition using Raspberry PI.- Features Extraction for Network Intrusion Detection using Genetic Algorithm(GA).- Chemical Sensing through Cogno-Monitoring System for Air Quality Evaluation.- 3 DOF Autonomous Control Analysis of an Quadcopter Using Artificial Neural Network.- Cognitive Demand Forecasting with Novel Features using Word2Vec and Session of the Day.- A Curvelet Transformer Based Computationally Efficient Speech Enhancement for Kalman Filter.- Dexterous Trashbot.- Automated Question Generation and Answer Verification using Visual Data.- Comprehensive Survey on Deep Learning Approaches in Predictive Business Process Monitoring.- Machine Learning Based Risk-Adaptive Access Control System to Identify Genuineness of the Requester.- An Approach to End to End Anonymity.- PHT and KELM Based Face Recognition.- Link Failure Detection in MANET: A Survey.- Review of Low Power Techniques for Neural Recording Applications.- Machine Learning Techniques for Thyroid Disease Diagnosis: A Systematic Review.- Heuristic Approach to Evaluate the Performance of Optimization Algorithms in VLSI Floor Planning for ASIC design.- Enhancement in Teaching Quality Methodology by Predicting Attendance using Machine Learning Technique.- Improvement in Extended Object tracking with the Vision-Based Algorithm.
Описание: Using CNN to predict regressive STD drug efficacy score.- Emotion Recognition in Hindi Speech using CNN-LSTM Model.- Refinery Profit Planning via Evolutionary Many-Objective Optimization.- A Deep Learning Technique for Image inpainting with GANs.- A Comparative Study on Distributed File Systems.
Описание: This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems.
Автор: Singh Krishna Kant, Singh Akansha, Sharma Sanjay K. Название: Machine Learning Approaches for Convergence of Iot and Blockchain ISBN: 1119761743 ISBN-13(EAN): 9781119761747 Издательство: Wiley Рейтинг: Цена: 25811.00 р. Наличие на складе: Поставка под заказ.
Описание: MACHINE LEARNING APPROACHES FOR CONVERGENCE OF IOT AND BLOCKCHAIN
The unique aspect of this book is that its focus is the convergence of machine learning, IoT, and blockchain in a single publication.
Blockchain technology and the Internet of Things (IoT) are two of the most impactful trends to have emerged in the field of machine learning. Although there are a number of books available solely on the subjects of machine learning, IoT and blockchain technology, no such book has been available which focuses on machine learning techniques for IoT and blockchain convergence until now. Thus, this book is unique in terms of the topics it covers. Designed as an essential guide for all academicians, researchers, and those in industry who are working in related fields, this book will provide insights into the convergence of blockchain technology and the IoT with machine learning.
Highlights of the book include:
Examines many industries such as agriculture, manufacturing, food production, healthcare, the military, and IT
Security of the Internet of Things using blockchain and AI
Developing smart cities and transportation systems using machine learning and IoT
Audience
The target audience of this book is professionals and researchers (artificial intelligence specialists, systems engineers, information technologists) in the fields of machine learning, IoT, and blockchain technology.
Описание: This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer.
Описание: Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results.
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