Ai For Big Data Based Engineering Applications From Security Perspectives
Download Ai For Big Data Based Engineering Applications From Security Perspectives PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Ai For Big Data Based Engineering Applications From Security Perspectives 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.
AI for Big Data-Based Engineering Applications from Security Perspectives
Artificial intelligence (AI), machine learning, and advanced electronic circuits involve learning from every data input and using those inputs to generate new rules for future business analytics. AI and machine learning are now giving us new opportunities to use big data that we already had, as well as unleash a whole lot of new use cases with new data types. With the increasing use of AI dealing with highly sensitive information such as healthcare, adequate security measures are required to securely store and transmit this information. This book provides a broader coverage of the basic aspects of advanced circuits design and applications. AI for Big Data-Based Engineering Applications from Security Perspectives is an integrated source that aims at understanding the basic concepts associated with the security of advanced circuits. The content includes theoretical frameworks and recent empirical findings in the field to understand the associated principles, key challenges, and recent real-time applications of advanced circuits, AI, and big data security. It illustrates the notions, models, and terminologies that are widely used in the area of Very Large Scale Integration (VLSI) circuits, security, identifies the existing security issues in the field, and evaluates the underlying factors that influence system security. This work emphasizes the idea of understanding the motivation behind advanced circuit design to establish the AI interface and to mitigate security attacks in a better way for big data. This book also outlines exciting areas of future research where already existing methodologies can be implemented. This material is suitable for students, researchers, and professionals with research interest in AI for big data–based engineering applications, faculty members across universities, and software developers.
Data Science and Applications
Author: Satyasai Jagannath Nanda
language: en
Publisher: Springer Nature
Release Date: 2024-02-24
This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
A Glimpse at Medicine in the Future
This book covers various aspects of the future of medicine, focusing on innovations in diagnostics, patient care, and drug discovery. With an increasing understanding of the structure and function of the human genome, along with continually improving laboratory and computational technologies, genomics has become progressively integrated into the core of biomedical research, medical practice, and the community. We are at the beginning of a fundamental shift in medicine, moving away from treating disease symptoms and toward curing diseases at their molecular causes. Artificial intelligence will aid in developing individually tailored therapies, gathering and exchanging big data, and advancing telemedicine to bring critical medical expertise to more patients worldwide. The future of medical artificial intelligence looks very promising, demonstrating that artificial intelligence can improve healthcare delivery. The twentieth century saw rapid advancements in disease prevention, including vaccine development and risk-factor prediction and intervention, nearly doubling global life expectancy. Healthcare has already entered the next phase of remarkable progress two decades into the twenty-first century. This book will be useful for health professionals interested in the future of medicine.