2020 First International Conference On Power Control And Computing Technologies Icpc2t
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International Conference on IoT, Intelligent Computing and Security
| Author | : Rajeev Agrawal |
| Publisher | : Springer Nature |
| Total Pages | : 488 |
| Release | : 2023-04-01 |
| Genre | : Technology & Engineering |
| ISBN | : 9811981361 |
This book comprises select peer-reviewed papers from the International Conference on IoT, Intelligent Computing and Security, IICS 2021. The contents focus on the latest research in artificial intelligence, IoT, intelligent computing, and leading technological convergence security challenges. The book also discusses AI-driven automation of highly connected smart devices across the globe presenting the fast technological shift with the futuristic scenario, bursting perspective of IoT, computational intelligence, and security concerns. This book supports the transfer of vital knowledge to the next generation of researchers, students, and practitioners in academia and industry.
Proceedings of International Conference on Communication, Circuits, and Systems
| Author | : Sukanta Kumar Sabut |
| Publisher | : Springer Nature |
| Total Pages | : 575 |
| Release | : 2021-04-02 |
| Genre | : Computers |
| ISBN | : 9813348666 |
The book proposes new technologies and discusses innovative solutions to various problems in the field of communication, circuits, and systems, as reflected in high-quality papers presented at International Conference on Communication, Circuits, and Systems (IC3S 2020) held at KIIT, Bhubaneswar, India from 16 – 18 October 2020. It brings together new works from academicians, scientists, industry professionals, scholars, and students together to exchange research outcomes and open up new horizons in the areas of signal processing, communications, and devices.
Machine Learning in Healthcare
| Author | : Bikesh Kumar Singh |
| Publisher | : CRC Press |
| Total Pages | : 248 |
| Release | : 2022-02-17 |
| Genre | : Computers |
| ISBN | : 1000540405 |
Artificial intelligence (AI) and machine learning (ML) techniques play an important role in our daily lives by enhancing predictions and decision-making for the public in several fields such as financial services, real estate business, consumer goods, social media, etc. Despite several studies that have proved the efficacy of AI/ML tools in providing improved healthcare solutions, it has not gained the trust of health-care practitioners and medical scientists. This is due to poor reporting of the technology, variability in medical data, small datasets, and lack of standard guidelines for application of AI. Therefore, the development of new AI/ML tools for various domains of medicine is an ongoing field of research. Machine Learning in Healthcare: Fundamentals and Recent Applications discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. Healthcare applications of AI are innumerable: medical data analysis, early detection and diagnosis of disease, providing objective-based evidence to reduce human errors, curtailing inter- and intra-observer errors, risk identification and interventions for healthcare management, real-time health monitoring, assisting clinicians and patients for selecting appropriate medications, and evaluating drug responses. Extensive demonstrations and discussion on the various principles of machine learning and its application in healthcare is provided, along with solved examples and exercises. This text is ideal for readers interested in machine learning without any background knowledge and looking to implement machine-learning models for healthcare systems.
Custom Power Devices for Efficient Distributed Energy Systems
| Author | : Ahmed Al-Durra |
| Publisher | : Elsevier |
| Total Pages | : 314 |
| Release | : 2024-05-23 |
| Genre | : Technology & Engineering |
| ISBN | : 0443215014 |
Custom Power Devices for Efficient Distributed Energy Systems presents a range of novel ideas and concepts based on renewable energy-fed power generation and control, offering avenues to efficient utilization and improved power quality, and addressing power quality issues such as harmonics compensation, supply current balancing, and neutral current compensation. The book begins by introducing distributed power systems within the global renewable energy context, reviewing different types of renewable energy sources and distributed power generation systems, and detailing custom power device design and modelling. This is followed by individual chapters providing in-depth coverage of specific techniques and applications, with insights into various topologies, as well as control algorithms, used for power control in a range of distributed energy conversion systems, such as solar, wind, hydro, and other power sources. Finally, power quality issues in renewable energy distributed generation are discussed and addressed in detail. This is a valuable resource of researchers, faculty, and advanced students with an interest in power generation systems, renewable energy, and power systems engineering, as well as practicing engineers, R&D professionals, managers, and other industry personnel in the renewable energy sector. - Covers established as well as advanced control algorithms for the operation of custom power devices - Extensively explains circuit design and its testing for solar and wind-based energy conversion systems - Includes simulation results and mathematical modeling of control algorithms - Presents applications of converter topologies in solar, wind, hydro, and other power generation systems
Handbook of Research on Machine Learning
| Author | : Monika Mangla |
| Publisher | : CRC Press |
| Total Pages | : 617 |
| Release | : 2022-08-04 |
| Genre | : Computers |
| ISBN | : 1000565726 |
This volume takes the reader on a technological voyage of machine learning advancements, highlighting the systematic changes in algorithms, challenges, and constraints. The technological advancements in the ML arena have transformed and revolutionized several fields, including transportation, agriculture, finance, weather monitoring, and others. This book brings together researchers, authors, industrialists, and academicians to cover a vast selection of topics in ML, starting with the rudiments of machine learning approaches and going on to specific applications in healthcare and industrial automation. The book begins with an overview of the ethics, security and privacy issues, future directions, and challenges in machine learning as well as a systematic review of deep learning techniques and provides an understanding of building generative adversarial networks. Chapters explore predictive data analytics for health issues. The book also adds a macro dimension by highlighting the industrial applications of machine learning, such as in the steel industry, for urban information retrieval, in garbage detection, in measuring air pollution, for stock market predictions, for underwater fish detection, as a fake news predictor, and more.
Proceedings of Emerging Trends and Technologies on Intelligent Systems
| Author | : Arti Noor |
| Publisher | : Springer Nature |
| Total Pages | : 361 |
| Release | : 2021-10-01 |
| Genre | : Technology & Engineering |
| ISBN | : 9811630976 |
This book presents best selected papers presented at the International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS 2021) held from 4 – 5 March 2021 in online mode at C-DAC, Noida, India. The book includes current research works in the areas of artificial intelligence, big data, cyber-physical systems, and security in industrial/real-world settings. The book illustrates on-going research results, projects, surveying works, and industrial experiences that describe significant advances in all of the related areas.
Advances in Data Science and Analytics
| Author | : M. Niranjanamurthy |
| Publisher | : John Wiley & Sons |
| Total Pages | : 356 |
| Release | : 2022-12-08 |
| Genre | : Computers |
| ISBN | : 111979188X |
Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. Data analytics software is a more focused version of this and can even be considered part of the larger process. Analytics is devoted to realizing actionable insights that can be applied immediately based on existing queries. For the purposes of this volume, data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. While a data scientist is expected to forecast the future based on past patterns, data analysts extract meaningful insights from various data sources. Although data mining and other related areas have been around for a few decades, data science and analytics are still quickly evolving, and the processes and technologies change, almost on a day-to-day basis. This volume provides an overview of some of the most important advances in these areas today, including practical coverage of the daily applications. Valuable as a learning tool for beginners in this area as well as a daily reference for engineers and scientists working in these areas, this is a must-have for any library.
Neural Information Processing
| Author | : Mohammad Tanveer |
| Publisher | : Springer Nature |
| Total Pages | : 603 |
| Release | : 2023-04-14 |
| Genre | : Computers |
| ISBN | : 9819916488 |
The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022. The 213 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
Applied Information Processing Systems
| Author | : Brijesh Iyer |
| Publisher | : Springer Nature |
| Total Pages | : 601 |
| Release | : 2021-07-20 |
| Genre | : Technology & Engineering |
| ISBN | : 9811620083 |
This book is a collection of selected high-quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2021), organized by Dr. Babasaheb Ambedkar Technological University, Lonere, India, during January 30–31, 2021. Focusing on frontier topics and next-generation technologies, it presents original and innovative research from academics, scientists, students and engineers alike. The theme of the conference is Applied Information Processing System.
