Data Science And Interdisciplinary Research Recent Trends And Applications

DOWNLOAD

Download Data Science And Interdisciplinary Research Recent Trends And Applications PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Data Science And Interdisciplinary Research Recent Trends And Applications book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Data Science And Interdisciplinary Research Recent Trends And Applications

DOWNLOAD
Author : Brojo Kishore Mishra
language : en
Publisher: Bentham Science Publishers
Release Date : 2023-09-27

Data Science And Interdisciplinary Research Recent Trends And Applications written by Brojo Kishore Mishra 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 2023-09-27 with Computers categories.

Data Science and Interdisciplinary Research: Recent Trends and Applications is a compelling edited volume that offers a comprehensive exploration of the latest advancements in data science and interdisciplinary research. Through a collection of 10 insightful chapters, this book showcases diverse models of machine learning, communications, signal processing, and data analysis, illustrating their relevance in various fields. Key Themes: Advanced Rainfall Prediction: Presents a machine learning model designed to tackle the challenging task of predicting rainfall across multiple countries, showcasing its potential to enhance weather forecasting. Efficient Cloud Data Clustering: Explains a novel computational approach for clustering large-scale cloud data, addressing the scalability of cloud computing and data analysis. Secure In-Vehicle Communication: Explores the critical topic of secure communication in in-vehicle networks, emphasizing message authentication and data integrity. Smart Irrigation 4.0: Details a decision model designed for smart irrigation, integrating agricultural sensor data reliability analysis to optimize water usage in precision agriculture. Smart Electricity Monitoring: Highlights machine learning-based smart electricity monitoring and fault detection systems, contributing to the development of smart cities. Enhanced Learning Environments: Investigates the effectiveness of mobile learning in higher education, shedding light on the role of technology in shaping modern learning environments. Coastal Socio-Economy Study: Presents a case study on the socio-economic conditions of coastal fishing communities, offering insights into the livelihoods and challenges they face. Signal Noise Removal: Shows filtering techniques for removing noise from ECG signals, enhancing the accuracy of medical data analysis and diagnosis. Deep Learning in Biomedical Research: Explores deep learning techniques for biomedical research, particularly in the realm of gene identification using Next Generation Sequencing (NGS) data. Medical Diagnosis through Machine Learning: Concludes with a chapter on breast cancer detection using machine learning concepts, demonstrating the potential of AI-driven diagnostics.

Data Science And Interdisciplinary Research

DOWNLOAD
Author : Brojo Kishore Mishra
language : en
Publisher: Bentham Science Publishers
Release Date : 2023-09-27

Data Science And Interdisciplinary Research written by Brojo Kishore Mishra 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 2023-09-27 with categories.

Data Science and Interdisciplinary Research: Recent Trends and Applications is a compelling edited volume that offers a comprehensive exploration of the latest advancements in data science and interdisciplinary research. Through a collection of 10 insightful chapters, this book showcases diverse models of machine learning, communications, signal processing, and data analysis, illustrating their relevance in various fields. Key Themes: -Advanced Rainfall Prediction: Presents a machine learning model designed to tackle the challenging task of predicting rainfall across multiple countries, showcasing its potential to enhance weather forecasting. -Efficient Cloud Data Clustering: Explains a novel computational approach for clustering large-scale cloud data, addressing the scalability of cloud computing and data analysis. -Secure In-Vehicle Communication: Explores the critical topic of secure communication in in-vehicle networks, emphasizing message authentication and data integrity. -Smart Irrigation 4.0: Details a decision model designed for smart irrigation, integrating agricultural sensor data reliability analysis to optimize water usage in precision agriculture. -Smart Electricity Monitoring: Highlights machine learning-based smart electricity monitoring and fault detection systems, contributing to the development of smart cities. -Enhanced Learning Environments: Investigates the effectiveness of mobile learning in higher education, shedding light on the role of technology in shaping modern learning environments. -Coastal Socio-Economy Study: Presents a case study on the socio-economic conditions of coastal fishing communities, offering insights into the livelihoods and challenges they face. -Signal Noise Removal: Shows filtering techniques for removing noise from ECG signals, enhancing the accuracy of medical data analysis and diagnosis. -Deep Learning in Biomedical Research: Explores deep learning techniques for biomedical research, particularly in the realm of gene identification using Next Generation Sequencing (NGS) data. -Medical Diagnosis through Machine Learning: Concludes with a chapter on breast cancer detection using machine learning concepts, demonstrating the potential of AI-driven diagnostics.

Applied Data Science In Tourism

DOWNLOAD
Author : Roman Egger
language : en
Publisher: Springer Nature
Release Date : 2022-01-31

Applied Data Science In Tourism written by Roman Egger and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-31 with Business & Economics categories.

Access to large data sets has led to a paradigm shift in the tourism research landscape. Big data is enabling a new form of knowledge gain, while at the same time shaking the epistemological foundations and requiring new methods and analysis approaches. It allows for interdisciplinary cooperation between computer sciences and social and economic sciences, and complements the traditional research approaches. This book provides a broad basis for the practical application of data science approaches such as machine learning, text mining, social network analysis, and many more, which are essential for interdisciplinary tourism research. Each method is presented in principle, viewed analytically, and its advantages and disadvantages are weighed up and typical fields of application are presented. The correct methodical application is presented with a "how-to" approach, together with code examples, allowing a wider reader base including researchers, practitioners, and students entering the field. The book is a very well-structured introduction to data science – not only in tourism – and its methodological foundations, accompanied by well-chosen practical cases. It underlines an important insight: data are only representations of reality, you need methodological skills and domain background to derive knowledge from them - Hannes Werthner, Vienna University of Technology Roman Egger has accomplished a difficult but necessary task: make clear how data science can practically support and foster travel and tourism research and applications. The book offers a well-taught collection of chapters giving a comprehensive and deep account of AI and data science for tourism - Francesco Ricci, Free University of Bozen-Bolzano This well-structured and easy-to-read book provides a comprehensive overview of data science in tourism. It contributes largely to the methodological repository beyond traditional methods. - Rob Law, University of Macau

Artificial Intelligence Ai

DOWNLOAD
Author : S. Kanimozhi Suguna
language : en
Publisher:
Release Date : 2024-10-04

Artificial Intelligence Ai written by S. Kanimozhi Suguna and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-04 with Computers categories.

This book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of Artificial Intelligence. The book provides a premier interdisciplinary platform to present practical challenges and adopted solutions. The book addresses the complete functional framework workflow in Artificial Intelligence technology. It explores the basic and high-level concepts and can serve as a manual for the industry for beginners and the more advanced. It covers intelligent and automated systems and its implications to the real-world, and offers data acquisition and case studies related to data-intensive technologies in AI-based applications. The book will be of interest to researchers, professionals, scientists, professors, students of computer science engineering, electronics and communications, as well as information technology.

Advancing Disaster Management Through Federated Learning

DOWNLOAD
Author : C Kishor Kumar Reddy
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2025-01-30

Advancing Disaster Management Through Federated Learning written by C Kishor Kumar Reddy and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-30 with Art categories.

Effective disaster management in an age of more frequent and devastating calamities requires creative solutions. This book explores the revolutionary possibilities of Federated Learning (FL) in crisis management, providing an all-inclusive manual that connects theory with practice. Learn how FL can change the game for disaster response and recovery decision-making, resource allocation, predictive modeling, and information sharing. Readers in the fields of emergency response, governance, research, and technology will find this book's wealth of real-world case studies and examples to be an important resource. It shows how FL improves catastrophe readiness and response by letting strong models be built while data privacy is maintained across decentralized sources. With a comprehensive roadmap that includes enhancing early warning systems, optimizing resource distribution, and integrating cutting-edge technologies like IoT, blockchain, and advanced AI, this book provides a clear explanation of how to use FL to protect communities, infrastructure, and lives during disasters.

Proceedings Of The International Conference On Applications Of Machine Intelligence And Data Analytics Icamida 2022

DOWNLOAD
Author : Sharvari Tamane
language : en
Publisher: Springer Nature
Release Date : 2023-05-01

Proceedings Of The International Conference On Applications Of Machine Intelligence And Data Analytics Icamida 2022 written by Sharvari Tamane and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-01 with Computers categories.

This is an open access book. As on date, huge volumes of data are being generated through sensors, satellites, and simulators. Modern research on data analytics and its applications reveal that several algorithms are being designed and developed to process these datasets, either through the use of sequential and parallel processes. In the current scenario of Industry 4.0, data analytics, artificial intelligence and machine learning are being used to support decisions in space and time. Further, the availability of Graphical Processing Units (GPUs) and Tensor Processing Units (TPUs) have enabled to processing of these datasets. Some of the applications of Artificial Intelligence, Machine Learning and Data Analytics are in the domains of Agriculture, Climate Change, Disaster Prediction, Automation in Manufacturing, Intelligent Transportation Systems, Health Care, Retail, Stock Market, Fashion Design, etc. The international conference on Applications of Machine Intelligence and Data Analytics aims to bring together faculty members, researchers, scientists, and industry people on a common platform to exchange ideas, algorithms, knowledge based on processing hardware and their respective application programming interfaces (APIs).

Advances In Data Science And Computing Technology

DOWNLOAD
Author : Suman Ghosal
language : en
Publisher: CRC Press
Release Date : 2022-11-24

Advances In Data Science And Computing Technology written by Suman Ghosal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-24 with Computers categories.

This volume helps to address the genuine 21st century need for advances in data science and computing technology. It provides an abundance of new research and studies on progressive and innovative technologies, including artificial intelligence, communication systems, cyber security applications, data analytics, Internet of Things (IoT), machine learning, power systems, VLSI, embedded systems, and much more. The book presents a variety of interesting and important aspects of data science and computing technologies and methodologies in a wide range of applications, including deep learning, DNA cryptography, classy fuzzy MPPT controller, driving assistance, and safety systems. Novel algorithms and their applications for solving cutting-edge computational and data science problems are included also for an interdisciplinary research perspective. The book addresses recent applications of deep learning and ANN paradigms, the role and impact of big data in the e-commerce and retail sectors, algorithms for load balancing in cloud computing, advances in embedded system based applications, optimization techniques using a MATLAB platform, and techniques for improving information and network security. Advances in Data Science and Computing Technology: Methodology and Applications provides a wealth of valuable information and food for thought on many important issues for data scientists and researchers, industry professionals, and faculty and students in the data and computing sciences.

Intelligent Systems And Iot Applications In Clinical Health

DOWNLOAD
Author : Joshi, Herat
language : en
Publisher: IGI Global
Release Date : 2024-11-01

Intelligent Systems And Iot Applications In Clinical Health written by Joshi, Herat and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-01 with Medical categories.

Integrating intelligent systems and internet of things (IoT) into clinical health is crucial for enhancing patient care and operational efficiency. These technologies enable real-time data collection and analysis, facilitating personalized treatment plans and improving diagnostic accuracy. Together innovations can streamline workflows, reduce costs, and ultimately lead to better health outcomes for patients. It is essential to explore how these technologies can be implemented into healthcare. Intelligent Systems and IoT Applications in Clinical Health explores and elucidates the integration of AI, IoT, and blockchain technologies in healthcare. It advances current research by providing comprehensive insights into how these technologies can be leveraged to enhance patient care, improve operational efficiency, and ensure data security. Covering topics such as clinical healthcare, digital health experience, and monitoring systems, this book is an excellent resource for researchers, academicians, medical professionals, medical administrators, educators, graduate and postgraduate students, and more.

Web3 Applications Security And New Security Landscape

DOWNLOAD
Author : Ken Huang
language : en
Publisher: Springer Nature
Release Date : 2024-06-04

Web3 Applications Security And New Security Landscape written by Ken Huang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-04 with Business & Economics categories.

With the recent debacle surrounding the cryptocurrency exchange FTX and the crypto trading company Alameda Research, the importance of grasping the security and regulation of Web3, cryptocurrency, and blockchain projects has been magnified. To avoid similar economic and security failures in future Web3 projects, this book provides an essential guide and a comprehensive and systematic approach to addressing security concerns. Written by experts in tech and finance, it provides an objective, professional, and in-depth analysis of security and privacy issues associated with Web3 and blockchain projects. The book primarily focuses on Web3 applications and ecosystem components such as the stablecoin, decentralization exchange (DEX), decentralized finance (DeFi), non-fungible token (NFT), decentralized autonomous organization (DAO), and crypto exchange. It also discusses various security issues and their manifestation in Web3 such as ransomware, supply chain software attacks, AI security, and quantum security. Moreover, it provides valuable countermeasures and best practices for individual users as well as Web3 application development teams to consider when designing and implementing Web3 applications. This book is an excellent resource for a diverse range of readers and will particularly appeal to Web3 developers, architects, project owners, and cybersecurity professionals seeking to deepen their knowledge of Web3 security.

Research In Education

DOWNLOAD
Author :
language : en
Publisher:
Release Date : 1974

Research In Education written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974 with Education categories.