Cognitive IoT
This book contains different research area of Cognitive IoT and explains how Machine learning algorithms can be applied for Cognitive IoT with applications (Covid-19), student performance evaluation, human healthcare for chronic disease prediction, wearable sensors energy optimization, and in farming.
Object Detection with Deep Learning Models
The book discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision.
Big Data Analysis for Green Computing
This book focuses on big data in business intelligence, data management, machine learning, cloud computing, and smart cities. It also provides an interdisciplinary platform to present and discuss recent innovations, trends, and concerns in the fields of big data and analytics.
Computer Applications in Engineering and Management
This book fundamental research contributions from the application of design in to civil, electronic, electrical and management to provide sustainable solutions for the future. It is primarily for graduates in computer science, information technology, civil engineering, electrical engineering, management and research scholars.
Disruptive Developments in Biomedical Applications
This book covers advancements and future challenges in biomedical application development using disruptive technologies like AI, IoT and Signal Processing. Book is divided into 4 main sections namely medical image processing using AI, IoT and biomedical devices, signal processing and electronic health records, and advances with case studies.
Bioinformatics Tools and Big Data Analytics for Patient Care
This book describe the applications of bioinformatics, data management and computational techniques in clinical studies and drug discovery for patient care. It gives details about the recent developments in the fields of artificial intelligence, cloud computing and data analytics for improved patient care.
Cyber-Physical Systems
The proposed book aims to present the emergence of Cyber Physical Systems in response to revolutionary advancements in IoT. The primary audience of this book are undergraduates, graduates and researchers of computer science and IT. Engineers and IT professionals would also find it useful.
Deep Learning for Crack-Like Object Detection
Computer vision-based crack-like object detection has many useful applications, such as inspecting/monitoring pavement surface, underground pipeline, bridge cracks, railway tracks etc. However, in most contexts, cracks appear as thin, irregular long-narrow objects, and often are buried in complex, textured background with high diversity which make the crack detection very challenging. During the past a few years, deep learning technique has achieved great success and has been utilized for solving a variety of object detection problems.This book discusses crack-like object detection problem comprehensively. It starts by discussing traditional image processing approaches for solving this problem, and then introduces deep learning-based methods. It provides a detailed review of object detection problems and focuses on the most challenging problem, crack-like object detection, to dig deep into the deep learning method. It includes examples of real-world problems, which are easy to understand and could be a good tutorial for introducing computer vision and machine learning.
Deep Learning
Deep Learning: A Comprehensive Guide provides comprehensive coverage of Deep Learning (DL) and Machine Learning (ML) concepts. DL and ML are the most sought-after domains, requiring a deep understanding - and this book gives no less than that. This book enables the reader to build innovative and useful applications based on ML and DL. Starting with the basics of neural networks, and continuing through the architecture of various types of CNNs, RNNs, LSTM, and more till the end of the book, each and every topic is given the utmost care and shaped professionally and comprehensively.Key Features Includes the smooth transition from ML concepts to DL concepts Line-by-line explanations have been provided for all the coding-based examples Includes a lot of real-time examples and interview questions that will prepare the reader to take up a job in ML/DL right away Even a person with a non-computer-science background can benefit from this book by following the theory, examples, case studies, and code snippets Every chapter starts with the objective and ends with a set of quiz questions to test the reader's understanding Includes references to the related YouTube videos that provide additional guidance AI is a domain for everyone. This book is targeted toward everyone irrespective of their field of specialization. Graduates and researchers in deep learning will find this book useful.
Security Analytics
This book discusses a range of topics from information security to cryptography, mobile application attacks to Digital forensics and from Cybersecurity to Blockchain. The goal of the book is to provide a 360-degree view of cybersecurity to the readers with demonstration of practical applications.
Cloud Security
This book is written with an intension to provide a thorough and detailed discussion on various fundamental aspects of cloud security. It provides an insight in to cloud computing including definition, history, characteristics, service models, cloud deployment models, key technologies, service platforms and challenges.
Integration of Wsns Into Internet of Things
The internet has gone from an internet of people, to an Internet of Things. This has brought forth strong levels of complexity in handling interoperability that involves the integrating of WSNs into IoT.
Hybrid Image Processing Methods for Medical Image Examination
This book focuses on implementation of a possible Hybrid Image Examination technique for medical images describing various image thresholding and segmentation methods along with essential details, such as test image preparation, implementation of a chosen thresholding operation, evaluation of threshold image, supported by pertinent case studies.
Disruptive Trends in Computer Aided Diagnosis
This book is an attempt to collate novel techniques and methodologies in the domain of content- based image classification and deep learning/machine learning techniques to design efficient computer aided diagnosis architecture. It is aimed to highlight new challenges and probable solutions.
AI and Deep Learning in Biometric Security
This book focuses on artificial intelligence and deep learning approaches, with case studies to solve problems associated with biometric security such as authentication, spoofing attack detection, and object detection.
Machine Learning in Healthcare
Machine Learning in Healthcare discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. It covers fundamental concepts including mathematical requisites and traditional machine-learning framework followed by advanced machine-learning methods and their applications in medical fields.
Blockchain for IoT
This book provides the basic concepts of blockchain technology and its applications to varied domains catering to socio-technical fields. It also introduces intelligent blockchain platforms by way of infusing elements of computational intelligence into blockchain technology.
Computational Science and its Applications
Computational science seeks to gain understanding of science through the use and analysis of mathematical models on high performance computers. The topics covered are gravitational waves, applications of wavelet and fractals, modeling by partial differential equations on flat structure as, production of natural calamities and diseases, etc
Internet of Energy for Smart Cities
The focus of this book is on using the machine learning approaches to present various solutions for IoE network in smart cities to solve various research gaps such as demand response management, resource management and effective utilization of the underlying ICT network. It helps build the technical understanding for the reader.
Green Computing and Predictive Analytics for Healthcare
The emergent trends in Green Cloud Computing lead to new developments in various application domains, mainly in healthcare. The aim of this book is to collect innovative and high-quality research contributions related to the advances in the energy-aware cloud-enabled healthcare domain.
Iot in Healthcare Systems
Implementing new information technologies into the healthcare sector can provide alternatives to managing patients' health records, systems, and improving the quality of care received. This book provides an overview of IoT technologies related to the healthcare field and covers the main advantages and disadvantages along with case studies.
Advanced Computational Methods in Mechanical and Materials Engineering
This book provides in-depth knowledge to solve engineering, geometrical, mathematical, and scientific problems with the help of advanced computational methods with focus on mechanical and materials engineering. It covers pertinent topics under sections on design and fluids, thermal engineering and materials engineering.
Transformation in Healthcare with Emerging Technologies
This book presents healthcare industrial revolution based on service aggregation and virtualisation that can transform the healthcare sector with the aid of technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Bigdata and Blockchain.
Advances in Mathematical and Computational Modeling of Engineering Systems
The text focuses on the recent research developments in the mathematical modeling and scientific computing of biological and engineering systems. It will serve as an ideal reference text for senior undergraduate, graduate students, and researchers in diverse fields including computer engineering, electrical engineering etc.
Fundamentals of Internet of Things
The book emphasizes on building fundamentals of IoT networks by leveraging important and relevant concepts from Signal Processing, Communications, Networks and Machine learning. It focuses on IoT protocols, energy harvesting, control optimization, clustering, data fusion, data analytics, localization, fog computing, etc.
Smart and Secure Internet of Healthcare Things
This book cover various research issues of smart and secure IoHT, aimed at providing solutions for remote healthcare monitoring using pertinent techniques. Applications of machine learning techniques and data analytics in IoHT along with latest communication and networking technologies, and cloud computing are also discussed.
Unleashing the Art of Digital Forensics
This book is intended to make the reader aware of the constraints and considerations that apply during a forensic examination in law enforcement and in the private sector. It is aimed primarily at graduates, postgraduates and researchers in digital forensics and cybersecurity.
Pde Toolbox Primer for Engineering Applications with Matlab(r) Basics
This book introduces MATLAB(R) as an essential foundation for Partial differential equations (PDEs), and modeler of the PDE toolbox with appropriate explanatory solutions as applied to engineering problems. The appendix contains collections of commands and functions used to solve actual problems of engineering.
Energy Harvesting
Energy Harvesting: Enabling IoT Transformations gives insight into the emergence of energy harvesting technology and its integration with IoT-based applications. The book educates the reader on how energy is harvested from different sources, increasing the effectiveness, efficiency and lifetime of IoT devices.- Discusses the technology and practices involved in energy harvesting for biomedical, agriculture and automobile industries- Compares the performance of IoT-based devices with and without energy harvesting for different applications- Studies the challenges and issues in the implementation of EH-IoT- Includes case studies on energy-harvesting approach for solar, thermal and RF sources- Analyzes the market and business opportunities for entrepreneurs in the field of EH-IoT.This book is primarily aimed at graduates and research scholars in wireless sensor networks. Scientists and R&D workers in industry will also find this book useful.
Spaceborne Synthetic Aperture Radar Remote Sensing
This book provides basic and advanced concepts of the SAR, PolSAR, InSAR, PolInSAR, and all the necessary information on various applications and analysis of data of multiple sensors. It includes information on SAR remote sensing, data processing, and separate applications of SAR technology, compiled in one place.
Machine Learning and Probabilistic Graphical Models for Decision Support Systems
This book presents recent advancements in research, new methods and techniques, and applications in decision support systems (DSS) with Machine Learning and Probabilistic Graphical Models. The book undertakes to stimulate scientific exchange, ideas, and experiences in the field of DSS applications.
Prediction and Analysis for Knowledge Representation and Machine Learning
This book illustrates different techniques and structures that are used in knowledge representation and machine learning. The aim of this book is to draw the attention of graduates, researchers and practitioners working in field of information technology and computer science (in knowledge representation in machine learning).
Swarm Intelligence and Evolutionary Computation
This book aims at providing theoretical knowledge in the application of swarm intelligence and evolutionary computation including several recent meta-heuristic algorithms and also providing practical emerging applications in machine learning and deep learning.
Vanet
This book addresses elements of VANET alongwith communication components, functionality and configuration, including issues like security, speed of message forwarding, priority-based forwarding, and malicious node detections and preventions supported by examples, case studies, technical descriptions, scenarios, procedures, algorithms and protocols.
Green Internet of Things for Smart Cities
The bright future of green IoT will change our tomorrow environment to become healthier and green, with very high quality of service that is socially, environmentally, and economically sustainable. This book covers the most recent advances in IoT, it discusses Smart City implementation, and offers both quantitative and qualitative research.
Computational Intelligence Techniques and Their Applications to Software Engineering Problems
This book focusses on computational intelligence approaches as applicable in varied areas of software engineering such as software requirement prioritization, cost estimation, reliability assessment, defect prediction, maintainability and quality prediction, size estimation, vulnerability prediction, test case selection, and so forth.
5G and Beyond
Internet of Things (IoT) is one of the most trending topics in the tech-world. The proposed book is a one-stop solution with all topics of IoT-5G in one place with adequate technical details This book is aimed primarily at post graduate students and researchers working in the field of Internet of Things (IoT).
Energy Management
This book introduces the principle of carrying out a medium term load forecast (MTLF) at power system level, based on the Big Data concept and Convolutionary Neural Network (CNNs). It presents further research directions in the field of Deep Learning techniques and Big Data, as well as how these two concepts are used in power engineering.
Intelligent Virtual System for Underwater Vehicle Piloting Using Unity(tm)
This book supports the readers in the development of remotely operated vehicle (ROV) pilot training simulator by exploiting open source or free gaming software and the importance of using established and widely available games design techniques in providing engaging scenarios for the ROV training developers and trainees.
Security and Privacy in the Internet of Things
This book provides a comprehensive study of the security and privacy research advancements in Internet of Things (IoT). The book lays the context for discussion by introducing the vulnerable intrinsic features of IoT. By providing a comprehensive discussion of the vulnerable features, the book highlights the problem areas of IoT related to security and privacy.- Covers all aspects of security- Algorithms, protocols and technologies used in IoT have been explained and the security flaws in them analyzed with solutions - Discusses ways for achieving better access control and trust in the IoT ecosystem- Contributes exhaustive strategic plans to deal with security issues of IoT- Gathers contributions from leading-edge researchers from academia and industryGraduates, researchers, people from the industry and security professionals who want to explore the IoT security field will find this book useful. The book will give an in-depth insight in to what has happened, what new is happening and what opportunities exist in the field.
Smart Manufacturing Technologies for Industry 4.0
This book addresses issues related to the integration of digital evolutionary technologies and provides solutions to various challenges encountered during the implementation process. With real-time case studies, the book explains the smart technologies available and their operational applications and benefits in the manufacturing sector.
Translational Bioinformatics Applications in Healthcare
This book offers a detailed overview and concepts of translation bioinformatics (TBI), biological/clinical databases, clinical informatics, and pertinent real-case applications. It explains advancements, tools, techniques, and applications of TBI including IoT, toxin databases, medical image analysis including COVID-19 CT-images, and so forth.
Artificial Intelligence
This book is an invaluable resource for readers to explore the utilization of AI, applications, challenges, and its underlying technologies in different areas. Using a series of present and future apps, this book will support readers to get deeper knowledge and implementing the tools of AI.
Analysis of Medical Modalities for Improved Diagnosis in Modern Healthcare
This book emphasizes the real-time challenges in medical modalities for variety of applications for analysis, classification and identification of different states for improvement of healthcare systems. Each chapter starts with the introduction, need and motivation of the medical modality and covers applications, alongwith real-time case studies.
Wireless Sensor Networks
With the evolution of soft computing, bio-inspired algorithms have gained more attention in recent years. This book is aimed at undergraduates, graduates and researchers working in the domain of wireless networks.
Probabilistic Data Structures for Blockchain-Based Internet of Things Applications
This book covers theory and practical knowledge of probabilistic data structures (PDS) and blockchain (BC) concepts. It introduces the applicability of PDS in BC and each PDS has been explained through code snippets and illustrative examples. Further, it covers applications of PDS to BC along with implementation codes in Python.
Machine Translation and Transliteration involving Related, Low-resource Languages
This book provides a fresh perspective by focussing on very important class of related languages. It will be relevant to graduate and advanced undergraduate students as well as professionals concerned with Machine Translation, Translation Studies, Natural Language Processing and Multilingual Computing.
AI in Manufacturing and Green Technology
This book focuses on making the environment sustainable by employing engineering aspects and green computing through concepts of modern education and solutions. It visualizes the potential of artificial intelligence in manufacturing and green technology, enhanced by business activities and strategies for rapid implementation.
