Mental Health Prediction Using Machine Learning And Deep Learning Technology
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Mental Health Prediction Using Machine Learning And Deep Learning Technology
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Author : Bandana Mahapatra
language : en
Publisher: CRC Press
Release Date : 2025-07-04
Mental Health Prediction Using Machine Learning And Deep Learning Technology written by Bandana Mahapatra and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-04 with Business & Economics categories.
Today the integration of technologies like Machine Learning (ML) and Deep Learning (DL) are enabling us to understand, predict, and manage the rising mental health concerns better. This volume provides a comprehensive roadmap for researchers, practitioners, and enthusiasts to explore how artificial intelligence can revolutionize mental healthcare. The book delves into the cutting-edge innovations in predictive modeling, offering insights into how ML and DL algorithms can analyze complex psychological data, detect early warning signs, and predict mental health outcomes. Designed for a diverse audience, including data scientists, mental health professionals, and students, it combines technical rigor with real-world applications. With case studies, hands-on examples, and future-forward discussions, this book empowers readers to contribute to the next wave of mental health solutions powered by AI.
Design Of Intelligent Applications Using Machine Learning And Deep Learning Techniques
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Author : Ramchandra Sharad Mangrulkar
language : en
Publisher: CRC Press
Release Date : 2021-08-15
Design Of Intelligent Applications Using Machine Learning And Deep Learning Techniques written by Ramchandra Sharad Mangrulkar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-15 with Computers categories.
Machine learning (ML) and deep learning (DL) algorithms are invaluable resources for Industry 4.0 and allied areas and are considered as the future of computing. A subfield called neural networks, to recognize and understand patterns in data, helps a machine carry out tasks in a manner similar to humans. The intelligent models developed using ML and DL are effectively designed and are fully investigated – bringing in practical applications in many fields such as health care, agriculture and security. These algorithms can only be successfully applied in the context of data computing and analysis. Today, ML and DL have created conditions for potential developments in detection and prediction. Apart from these domains, ML and DL are found useful in analysing the social behaviour of humans. With the advancements in the amount and type of data available for use, it became necessary to build a means to process the data and that is where deep neural networks prove their importance. These networks are capable of handling a large amount of data in such fields as finance and images. This book also exploits key applications in Industry 4.0 including: · Fundamental models, issues and challenges in ML and DL. · Comprehensive analyses and probabilistic approaches for ML and DL. · Various applications in healthcare predictions such as mental health, cancer, thyroid disease, lifestyle disease and cardiac arrhythmia. · Industry 4.0 applications such as facial recognition, feather classification, water stress prediction, deforestation control, tourism and social networking. · Security aspects of Industry 4.0 applications suggest remedial actions against possible attacks and prediction of associated risks. - Information is presented in an accessible way for students, researchers and scientists, business innovators and entrepreneurs, sustainable assessment and management professionals. This book equips readers with a knowledge of data analytics, ML and DL techniques for applications defined under the umbrella of Industry 4.0. This book offers comprehensive coverage, promising ideas and outstanding research contributions, supporting further development of ML and DL approaches by applying intelligence in various applications.
Human Centric Integration Of Next Generation Data Science And Blockchain Technology
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Author : Amit Kumar Tyagi
language : en
Publisher: Academic Press
Release Date : 2025-03-17
Human Centric Integration Of Next Generation Data Science And Blockchain Technology written by Amit Kumar Tyagi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-17 with Science categories.
Human- Centric Integration of Next Generation Data Science and Blockchain Technology: Advancing Society 5.0 Paradigms focuses on the current technological landscape, addressing the evolving integration of data science and blockchain within the context of Society 5.0. This comprehensive resource explains the convergences between data science, blockchain, and the human-centric vision of Society 5.0, while also filling the gap in understanding and navigating this transformative intersection with recent shifts towards more decentralized and data-driven paradigms.The book introduces the concept of Society 5.0, examining the historical context, and outlines the evolving technological landscape shaping our interconnected future. It discusses the fundamental principles of data science, from data collection and preprocessing to exploratory data analysis and explains the transformative impact of data science and blockchain across industries such as healthcare, finance, education, and transportation. This book is essential to understanding and shaping the future of technology and society from decentralized solutions to predictive analytics/ emerging technologies. - Addresses the evolving integration of data science and blockchain within the context of Society 5.0 - Introduces the basic architecture and taxonomy of blockchain technology - Explores the future urban lives under the concept of "Society 5.0", characterized by the key phrases of data-driven society and knowledge-intensive society - Offers a firm foundation and understanding of recent advancements in various domains such as data analytics, neural networks, computer vision, and robotics, along with practical solutions to existing problems in fields such as healthcare, manufacturing industries, security, and infrastructure management
Ict Smart Systems And Technologies
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Author : M. Shamim Kaiser
language : en
Publisher: Springer Nature
Release Date : 2024-03-15
Ict Smart Systems And Technologies written by M. Shamim Kaiser and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-15 with Technology & Engineering categories.
This book contains best selected research papers presented at ICTCS 2023: Eighth International Conference on Information and Communication Technology for Competitive Strategies. The conference will be held in Jaipur, India during 8 – 9 December 2023. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics and IT security. The work is presented in five volumes.
Artificial Intelligence In Healthcare
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Author : Gourav Bathla
language : en
Publisher: CRC Press
Release Date : 2024-10-23
Artificial Intelligence In Healthcare written by Gourav Bathla and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-23 with Computers categories.
This book presents state-of-the-art research works for a better understanding of the advantages and limitations of AI techniques in the field of healthcare. It will further discuss artificial intelligence applications in depression, hypertension and diabetes management. The text also presents an artificial intelligence chatbot for depression, diabetes, and hypertension self-help. This book: Provides a structured overview of recent developments of artificial intelligence applications in the healthcare sector. Presents an in-depth understanding of how artificial intelligence techniques can be applied to diabetes management. Showcases supervised learning techniques based on datasets for depression management. Discusses artificial intelligence chatbot for diabetes, depression, and hypertension self-care. Highlights the importance of artificial intelligence in managing and predicting diabetes, hypertension, and depression. The text is primarily written for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.
Smart Technologies In Healthcare Management
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Author : Nidhi Sindhwani
language : en
Publisher: CRC Press
Release Date : 2024-06-28
Smart Technologies In Healthcare Management written by Nidhi Sindhwani and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-28 with Business & Economics categories.
Offering a holistic view of the pioneering trends and innovations in smart healthcare management, this book focuses on the methodologies, frameworks, design issues, tools, architectures, and technologies necessary to develop and understand intelligent healthcare systems and emerging applications in the present era. Smart Technologies in Healthcare Management: Pioneering Trends and Applications provides an overview of various technical and innovative aspects, challenges, and issues in smart healthcare, along with recent and novel findings. It highlights the latest advancements and applications in the field of intelligent systems and explores the importance of cloud computing and the design of sensors in an IoT system. The book offers algorithms and a framework with models in machine learning and AI for smart healthcare management. A detailed flow chart and innovative and modified methodologies related to intelligent computing in healthcare are discussed, as well as real-world-based examples so that readers can compare technical concepts with daily life concepts. This book will be a useful reference for academicians and the healthcare industry, along with professionals interested in exploring innovations in varied applicational areas of AI, IoT, and machine learning. Researchers, startup companies, and entrepreneurs will also find this book of interest.
A Practitioner S Approach To Problem Solving Using Ai
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Author : Satvik Vats
language : en
Publisher: Bentham Science Publishers
Release Date : 2024-10-18
A Practitioner S Approach To Problem Solving Using Ai written by Satvik Vats and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-18 with Computers categories.
This book demonstrates several use cases of how artificial intelligence (AI) and machine learning (ML) are revolutionizing problem-solving across various industries. The book presents 18 edited chapters beginning with the latest advancements in human-AI interactions and neuromorphic computing, setting the stage for practical applications. Chapters focus on AI and ML applications such as fingerprint recognition, glaucoma detection, and lung cancer identification using image processing. The book also explores the role of AI in professional operations such as UX design, event detection, and content analysis. Additionally, the book includes content that examines AI's impact on technical operations wireless communication, VLSI systems, and advanced manufacturing processes. Each chapter contains summaries and references for addressing the needs of beginner and advanced readers. This comprehensive guide is an essential resource for anyone seeking to understand AI's transformative role in modern problem-solving in professional industries.
Soft Computing In Industry 5 0 For Sustainability
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Author : C Kishor Kumar Reddy
language : en
Publisher: Springer Nature
Release Date : 2024-11-15
Soft Computing In Industry 5 0 For Sustainability written by C Kishor Kumar Reddy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-15 with Computers categories.
Soft computing and Industry 5.0 are two distinct concepts that, when combined, can have a significant impact on sustainability initiatives within various industries. Soft computing is a subfield of artificial intelligence (AI) that aims to address problems characterized by uncertainty, imprecision, and partial truth. It encompasses various computational techniques, such as fuzzy logic, neural networks, genetic algorithms, and machine learning, which enable machines to deal with complex and uncertain data in a more human-like manner. Soft computing techniques are particularly valuable in sustainability efforts because they can handle non-linear relationships and uncertain data that often arise in environmental and social contexts. For example, they can be used to optimize energy consumption, waste management, and resource allocation in industries by considering various factors and trade-offs. The book highlights the latest innovations in intelligent systems in classical machine learning, deep learning, Internet of Things (IoT), Industrial Internet of Things (IIoT), blockchain, knowledge representation, knowledge management, big data, and natural language processing. (NLP). The book contains many contemporary articles from both scientists and practitioners working in many fields where soft computing, intelligent systems and the IIoT can break new ground. Intelligent systems and the Internet of Things are now essential technologies in almost every field. From agriculture to industry to healthcare, the scope of smart systems and IIoT is as wide as the horizon. Nowadays, these technologies are extensively used in developed countries, but they are still at an early stage in emerging countries. The primary market of this book is senior undergraduate students, post graduate students, practitioners, researchers, academicians, industrialists, and professionals working in areas of core computer science, electrical engineering, mechanical engineering, environmental engineering and agricultural engineering. The secondary audience of this book is individuals working in the areas of manufacturing, agriculture, remote sensing, environmental engineering, health care, smart cities, smart farming, remote sensing, supply chain management and hydrology.
Smart Technologies In Urban Engineering
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Author : Olga Arsenyeva
language : en
Publisher: Springer Nature
Release Date : 2022-11-29
Smart Technologies In Urban Engineering written by Olga Arsenyeva and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-29 with Technology & Engineering categories.
This book offers a comprehensive review of smart technologies and perspectives on their application in urban engineering. It covers a wide range of applications, from transport and energy management to digital manufacturing, smart city, environment, and sustainable development, providing readers with new ideas for future research and collaborations. This book presents select papers from the International Conference on Smart Technologies in Urban Engineering (STUE-2022), held to commemorate the 100th anniversary of the O.M. Beketov National University of Urban Economy in Kharkiv, Ukraine, on June 9–11, 2022. All the contributions offer plenty of valuable information and would be of great benefit to the experience exchange among scientists in urban engineering.
Smart Computing And Communication For Sustainable Convergence
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Author : Shalli Rani
language : en
Publisher: CRC Press
Release Date : 2025-05-30
Smart Computing And Communication For Sustainable Convergence written by Shalli Rani and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-30 with Computers categories.
The proceedings of the first International Conference on Smart Computing and Communication for Sustainable Convergence (ISCCSC 2024) present a rich repository of cutting-edge research on smart computing, artificial intelligence and machine learning. It highlights technological breakthroughs and practical challenges in the field of edge learning, data mining, image processing, smart communications, 5G/6G communication networks, signal processing, wireless sensor networks, antenna systems and imaging. It also explores a wide range of communication paradigms, especially those pertaining to smart cities by delving deeper into smart healthcare, smart transportation and intelligent data processing. The findings are instrumental in combating critical global issues and foster a deeper understanding of the role of AI in shaping the world we live in. This will be a highly valuable guide to researchers, data scientists, practicing professionals and students in the fields of artificial intelligence, machine learning and data processing.