The book provides a comprehensive technical analysis of multimodal artificial intelligence systems and implementation frameworks. It offers thorough coverage of cross-modal processing methods for use, including speech recognition and automatic image captioning.It presents a detailed discussion of architecture for integrating text, image, audio, and video modalities, cross-modal processing pipelines, and data fusion techniques.Showcases real-time synchronization mech...

This book examines Internet of Things applications in textile and apparel industries, covering smart manufacturing systems, healthcare textiles, and wearable technologies. The analysis includes IoT architectures for textile environments, air compressor management systems, and development of assistive devices for visually challenged personnel. The work investigates electroactive garments, smart yoga wear, and IoT integration in fashion business operations and also includes:Com...

Predictive Analytics using MATLAB(R) for Biomedical Applications is a comprehensive and practical guide for biomedical engineers, data scientists, and researchers on how to use predictive analytics techniques in MATLAB(R) for solving real-world biomedical problems. The book offers a technical overview of various predictive analytics methods and covers the utilization of MATLAB(R) for implementing these techniques. It includes several case studies that demonstrate how predictive analytics c...

New technologies like blockchain and Internet of Things (IoT) are constantly improving the state-of-the-art in healthcare services. The trend of keeping medical records in digital formats is also increasing the reliance of modern healthcare service providers on these new technologies. This edited book brings a collection of reviews on blockchain and IoT technologies that are driving innovation in digital and smart healthcare systems. The editors bring an academic and practical approach to ...

New technologies like blockchain and Internet of Things (IoT) are constantly improving the state-of-the-art in healthcare services. The trend of keeping medical records in digital formats is also increasing the reliance of modern healthcare service providers on these new technologies. This edited book brings a collection of reviews on blockchain and IoT technologies that are driving innovation in digital and smart healthcare systems. The editors bring an academic and practical approach to ...

Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision provides an overview of general deep learning methodology and its applications of natural language processing (NLP), speech, and computer vision tasks. It simplifies and presents the concepts of deep learning in a comprehensive manner, with suitable, full-fledged examples of deep learning models, with an aim to bridge the gap between the theoretical and the applications using case studies with code...

Electromagnetic compatibility is concerned with the generation, transmission, and reception of electromagnetic energy. The book discusses about the basic principles of electromagnetic interference (EMI) and electromagnetic compatibility (EMC) including causes, events, and mitigation of issues. The design procedures for EMI filter, the types of filters, and filter implementation methods are explained. The simulation of printed circuit board designs using different software and a step-by-ste...

This book focuses on recent and emerging techniques for the enhancement of smart healthcare, smart communication, and smart transportation systems. It covers topics ranging from Machine Learning techniques, the Internet of Things (IoT), security aspects of medical documents, the performance of various protocols used in the communication and transportation environment, simulation of systems for real-time applications, and overall analysis of the previously mentioned. Applications such as tr...

This book describes the energy management concepts, energy audit principles, resource efficiency, and other energy conservation opportunities involved in different sectors across varied industries. Real-time case studies from various large industrial sectors, like cement, paper and pulp, refineries, manufacturing, garments and textile processing, power plants, and other MSME industrial sectors with cross functional energy conservation opportunities, are included. It also describes the futu...

This book provides a detailed description of machine learning algorithms in data analytics, data science life cycle, Python for machine learning, linear regression, logistic regression, and so forth. It addresses the concepts of machine learning in a practical sense providing complete code and implementation for real-world examples in electrical, oil and gas, e-commerce, and hi-tech industries. The focus is on Python programming for machine learning and patterns involved in decision scienc...

This book presents selected papers from the International Conference on Renewable Energy Systems (ICRES 2020). It throws light over the state of the art of renewable energy sources and their technological advances. Renewable energy sources discussed in this book include solar, wind, biomass, fuel cells, hydropower , hydrogen, nuclear, and geothermal. This book comprehensively explains each of these sources, materials associated, technological development, economics and their impact on the ...

Optimal Power Flow Using FACTS Devices: Soft Computing Techniques develops intelligent algorithms to analyze optimal power flow (OPF) and to enhance the power transfer capability of the transmission line with reduced congestion. By providing elaborate studies on FACTS devices and by using soft computing metaheuristics algorithms such as Firefly, Cuckoo, Flower Pollination, and others., this book enables readers to know about algorithms in real-time power system applications and damping of ...