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Chronicles Of Cyber Safety (For Parents, Teachers, Teenagers And Young Adults)
Drawing inspiration from the ancient wisdom of storytelling, "Cyber Safety Chronicles (For Parents, Teachers, Teenagers, and Young Adults)" is a modern-day counterpart crafted to address the challenges of the digital age. This collection of 32 riveting case studies, set in the dynamic landscape of India, is an invaluable resource for parents, teens, young adults, and school teachers. It delves into the complexities of the online world, from social media's perils to cyber law's intricacies, making it a crucial tool for understanding and navigating the digital era. Each story is a carefully woven narrative, blending technology, ethics, and legal principles, reflecting real-life scenarios relev...
Learning Like a Lion
What is life if not for its lessons? Every little nook we visit, every coexisting soul we meet, every brick in history we touch adds a new dimension to us in the form of inseparable learnings. Even the most minuscule of the lessons remain etched deep into our being. This book is an anthology of similar little learnings from the life of the author that do not fail to leave an impact on our lives whether personal or professional. This book, through its insightful take on small independent events, helps the reader draw wisdom from them. So, if you have a knack for seeing your daily life in a way that it adds to your professional success, if you have the curiosity to meet people who add a new dimension to your personality, and if you still have a childlike inquisitiveness within you to experience real influence from little lessons of life, then this book is for you.
Revolutionising Medical Imaging with Computer Vision and Artificial Intelligence
This collection aims to explore the transformative potential of computer vision and artificial intelligence (AI) in revolutionizing medical imaging. Medical imaging is still in a state of infancy. The interpretation of medical images is often time-consuming and subject to human error. By leveraging computer vision algorithms and AI technologies, medical imaging can be enhanced with automated analysis, pattern recognition, and predictive modelling, leading to improved accuracy, speed, and clinical outcomes. This collection provides an overview of the current state, challenges, and prospects of integrating computer vision and AI techniques into existing medical imaging technologies. Medical imaging has the potential to create a paradigm shift in healthcare in future enhancing diagnostic accuracy, personalised treatment, and overall patient care. While challenges related to data quality, interpretability, and ethics must be navigated, the future for AI based imaging technology is bright.
Explainable, Interpretable, and Transparent AI Systems
Transparent Artificial Intelligence (AI) systems facilitate understanding of the decision-making process and provide opportunities in various aspects of explaining AI models. This book provides up-to-date information on the latest advancements in the field of explainable AI, which is a critical requirement of AI, Machine Learning (ML), and Deep Learning (DL) models. It provides examples, case studies, latest techniques, and applications from domains such as healthcare, finance, and network security. It also covers open-source interpretable tool kits so that practitioners can use them in their domains. Features: Presents a clear focus on the application of explainable AI systems while tacklin...
Artificial Intelligence Solutions for Cyber-Physical Systems
Smart manufacturing environments are revolutionizing the industrial sector by integrating advanced technologies, such as the Internet of Things (IoT), artificial intelligence (AI), and robotics, to achieve higher levels of efficiency, productivity, and safety. However, the increasing complexity and interconnectedness of these systems also introduce new security challenges that must be addressed to ensure the safety of human workers and the integrity of manufacturing processes. Key topics include risk assessment methodologies, secure communication protocols, and the development of standard specifications to guide the design and implementation of HCPS. Recent research highlights the importance...
Artificial Intelligence for Intelligent Systems
The aim of this book is to highlight the most promising lines of research, using new enabling technologies and methods based on AI/ML techniques to solve issues and challenges related to intelligent and computing systems. Intelligent computing easily collects data using smart technological applications like IoT-based wireless networks, digital healthcare, transportation, blockchain, 5.0 industry and deep learning for better decision making. AI enabled networks will be integrated in smart cities' concept for interconnectivity. Wireless networks will play an important role. The digital era of computational intelligence will change the dynamics and lifestyle of human beings. Future networks wil...
Artificial Intelligence in Ophthalmology
This book provides a wide-ranging overview of artificial intelligence (AI), machine learning (ML) and deep learning (DL) algorithms in ophthalmology. Expertly written chapters examine AI in age-related macular degeneration, glaucoma, retinopathy of prematurity and diabetic retinopathy screening. AI perspectives, systems and limitations are all carefully assessed throughout the book as well as the technical aspects of DL systems for retinal diseases including the application of Google DeepMind, the Singapore algorithm, and the Johns Hopkins algorithm. Artificial Intelligence in Ophthalmology meets the need for a resource that reviews the benefits and pitfalls of AI, ML and DL in ophthalmology. Ophthalmologists, optometrists, eye-care workers, neurologists, cardiologists, internal medicine specialists, AI engineers and IT specialists with an interest in how AI can help with early diagnosis and monitoring treatment in ophthalmic patients will find this book to be an indispensable guide to an evolving area of healthcare technology.
Data Science and Intelligent Systems
This book constitutes the second part of refereed proceedings of the 5th Computational Methods in Systems and Software 2021 (CoMeSySo 2021) proceedings. The real-world problems related to data science and algorithm design related to systems and software engineering are presented in this papers. Furthermore, the basic research’ papers that describe novel approaches in the data science, algorithm design and in systems and software engineering are included. The CoMeSySo 2021 conference is breaking the barriers, being held online. CoMeSySo 2021 intends to provide an international forum for the discussion of the latest high-quality research results
Do Old Habits Die Hard? Central Banks and the Bretton Woods Gold Puzzle
Why did monetary authorities hold large gold reserves under Bretton Woods (1944–1971) when only the US had to? We argue that gold holdings were driven by institutional memory and persistent habits of central bankers. Countries continued to back currency in circulation with gold reserves, following rules of the pre-WWII gold standard. The longer an institution spent in the gold standard (and the older the policymakers), the stronger the correlation between gold reserves and currency. Since dollars and gold were not perfect substitutes, the Bretton Woods system never worked as expected. Even after radical institutional change, history still shapes the decisions of policymakers.
