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This book provides a comprehensive, conceptual, and detailed overview of the wide range of applications of Artificial Intelligence, Machine Learning, and Data Science and how these technologies have an impact on various domains such as healthcare, business, industry, security, and how all countries around the world are feeling this impact. The book aims at low-cost solutions which could be implemented even in developing countries. It highlights the significant impact these technologies have on various industries and on us as humans. It provides a virtual picture of forthcoming better human life shadowed by the new technologies and their applications and discusses the impact Data Science has on business applications. The book will also include an overview of the different AI applications and their correlation between each other. The audience is graduate and postgraduate students, researchers, academicians, institutions, and professionals who are interested in exploring key technologies like Artificial Intelligence, Machine Learning, and Data Science.
March 27-28, 2017 Madrid, Spain Key Topics : Advanced Biomaterials, Polymer Biomaterials, Dental Biomaterials, Properties of Biomaterials, Biomaterials Applications, Biomaterials Companies and Market Analysis, Biomaterials and Nanotechnology, Biomaterials Engineering, Biomaterials: Synthesis and Characterization, Tissue Engineering and Regenerative Medicine, Biomaterials in Delivery Systems, Biomaterials in Biological Engineering, Biodegradable Biomaterials, 3D Printing of Biomaterials, Entrepreneurs Investment Meet,
Biomedical research is the first step towards the creation of new medications and treatments that help to manage different types of health conditions and diseases. The prevention and cure of diseases would be practically impossible without such type of research. Although the drug discovery and development processes are far too costly, time-consuming, prone to failure, and have low success rate, today the term "translational research or medicine" seems to have become trendy, yet it is insufficient. The present book is a sincere attempt by dedicated researchers to convey the importance of translational biomedical research, medicine, and disease, primarily, basic and clinical difficulties in th...
The International Conference on ICT for Digital, Smart, and Sustainable Development (ICIDSSD’20) aims to provide an annual platform for the researchers, academicians, and professionals from across the world. ICIDSSD’20, held at Jamia Hamdard, New Delhi, India, is the second international conference of this series of conferences to be held annually. The conference majorly focuses on the recent developments in the areas relating to Information and Communication Technologies and contributing to Sustainable Development. ICIDSSD’20 has attracted research papers pertaining to an array of exciting research areas. The selected papers cover a wide range of topics including but not limited to Su...
The Delusional Dandelions is a delightful and dreamy anthology. The theme of this anthology is DREAM. Fifty wonderful writers have written in this anthology. The compiler-author of this anthology is Abhinaba Dutta.
“Siblings-the definition that comprises love, strife, competition and forever friends.”Siblings: children of the same parents, each of whom is perfectly normal until they get together.Through the good, the bad, and the ugly– siblings are there with us through it all. It’s important to have gratitude for the special bond that comes with siblings, and to acknowledge the importance of such a lifelong relationship.This is an Anthology named "Siblings Love: A bond of Promise" compiled by Rubleena Behera and Harkirat Singh.This is a special book compiled for the occasion of Rakshya Bandhan to show the love between brother and sister.
This book serves the need for developing an insight and understanding of the cutting-edge innovation in Cloud technology. It provides an understanding of cutting-edge innovations, paradigms, and security by using real-life applications, case studies, and examples. This book provides a holistic view of cloud technology theories, practices, and future applications with real-life examples. It comprehensively explains cloud technology, design principles, development trends, maintaining state-of-the-art cloud computing and software services. It describes how cloud technology can transform the operating contexts of business enterprises. It exemplifies the potential of cloud computing for next-generation computational excellence and the role it plays as a key driver for the 4th industrial revolution in Industrial Engineering and a key driver for manufacturing industries. Researchers, academicians, postgraduates, and industry specialists will find this book of interest.
This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures. This book is focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives. The data analytics discussed are relevant for healthcare and industry to meet many technical challenges and issues that need to be addressed to realize this potential. The IoT discussed helps to design and develop the intelligent medical and industry solutions assisted by data analytics and machine learning. At the end of every chapter readers are en...
This book contains the proceedings of the 4TH International Conference on Computational Methods in Science and Technology (ICCMST 2024). The proceedings explores research and innovation in the field of Internet of things, Cloud Computing, Machine Learning, Networks, System Design and Methodologies, Big Data Analytics and Applications, ICT for Sustainable Environment, Artificial Intelligence and it provides real time assistance and security for advanced stage learners, researchers and academicians has been presented. This will be a valuable read to researchers, academicians, undergraduate students, postgraduate students, and professionals within the fields of Computer Science, Sustainability and Artificial Intelligence.
This book covers the research area from multiple viewpoints including bibliometric analysis, reviews, empirical analysis, platforms, and future applications. The centralized training of deep learning and machine learning models not only incurs a high communication cost of data transfer into the cloud systems but also raises the privacy protection concerns of data providers. This book aims at targeting researchers and practitioners to delve deep into core issues in federated learning research to transform next-generation artificial intelligence applications. Federated learning enables the distribution of the learning models across the devices and systems which perform initial training and report the updated model attributes to the centralized cloud servers for secure and privacy-preserving attribute aggregation and global model development. Federated learning benefits in terms of privacy, communication efficiency, data security, and contributors’ control of their critical data.