Data og IT

Comprehensive resource encompassing recent developments, current use cases, and future opportunities of AI in disease detection AI in Disease Detection discusses the integration of artificial intelligence to revolutionize disease detection approaches, with case studies of AI in disease detection as well as insight into the opportunities and challenges of AI in healthcare as a whole. The book explores a wide range of individual AI components such as computer vision, natural language processing, and machine learning as well as the development and implementation of AI systems for efficient practices in data collection, model training, and clinical validation. This book assists readers in assessing big data in healthcare and determining the drawbacks and possibilities associated with the implementation of AI in disease detection; categorizing major applications of AI in disease detection such as cardiovascular disease detection, cancer diagnosis, neurodegenerative disease detection, and infectious disease control, as well as implementing distinct AI methods and algorithms with medical data including patient records and medical images, and understanding the ethical and social consequences of AI in disease detection such as confidentiality, bias, and accessibility to healthcare. Sample topics explored in AI in Disease Detection include: Legal implication of AI in healthcare, with approaches to ensure privacy and security of patients and their dataIdentification of new biomarkers for disease detection, prediction of disease outcomes, and customized treatment plans depending on patient characteristicsAI's role in disease surveillance and outbreak detection, with case studies of its current usage in real-world scenariosClinical validation processes for AI disease detection models and how they can be validated for accuracy and effectiveness Delivering excellent coverage of the subject, AI in Disease Detection is an essential up-to-date reference for students, healthcare professionals, academics, and practitioners seeking to understand the possible applications of AI in disease detection and stay on the cutting edge of the most recent breakthroughs in the field.

Nvidia is the darling of the age of artificial intelligence: its chips are powering the generative-AI revolution, and demand is insatiable. For all the current hype, however, Nvidia is not of our time. Founded more than three decades ago in a Denny's in East San Jose, for years it was known primarily in the then-niche world of computer gaming. In fact, the company's leather-jacketed leader, Jensen Huang, is the longest-serving CEO in an industry marked by near constant turmoil and failure.In The Nvidia Way, acclaimed tech writer Tae Kim draws on more than one hundred interviews-including Huang and his cofounders, the two original venture capital investors, early former employees, and current senior executives-to show how Nvidia played the longest of long games, repeatedly creating new markets and outmaneuvering the original semiconductor giant, Intel, which now finds itself well behind the upstart. A rare view into Nvidia's distinct culture and Huang's management style, The Nvidia Way is an instant classic of business history, with enduring lessons for entrepreneurs and managers alike.

Ensemble methods that train multiple learners and then combine them to use, with \textit{Boosting} and \textit{Bagging} as representatives, are well-known machine learning approaches. An ensemble is significantly more accurate than a single learner, and ensemble methods have already achieved great success in various real-world tasks.

This book explores Learning Analytics (LA) programmes and practices in Malaysia as well as looking at the underlying forces, dilemmas and policy challenges for quality assurance in higher education institutions (HEIs).

The text comprehensively discusses the implementation of sensor systems using artificial intelligence, quantum device and circuit with artificial intelligence, and biomedical implementation of artificial intelligence-based optoelectronic circuits.

This book aims to investigate the effectiveness and ethical use of GenAI in higher education, which necessitates a comprehensive examination of existing research, guidance, procedures, and literature.

This book explores the critical challenges and emerging trends in Information, Communication, and Computing Technology (ICCT). It provides a comprehensive overview of the key issues facing these rapidly evolving fields, from data security and privacy to advancements in artificial intelligence, communication networks, and quantum computing.

This book explores the critical challenges and emerging trends in Information, Communication, and Computing Technology (ICCT). It provides a comprehensive overview of the key issues facing these rapidly evolving fields, from data security and privacy to advancements in artificial intelligence, communication networks, and quantum computing.

This book explores the critical challenges and emerging trends in Information, Communication, and Computing Technology (ICCT). It provides a comprehensive overview of the key issues facing these rapidly evolving fields, from data security and privacy to advancements in artificial intelligence, communication networks, and quantum computing.

This volume provides a multi-nuanced analysis of the impact of the Covid-19 pandemic on various aspects of human existence, encompassing societal, economic, and inter-relational dimensions.

This book is structured to guide readers through AGA's concepts,practical applications, and future directions.At its core, this book is an invitation to reimagine the boundaries of algorithmic design. It is crafted for researchers, practitioners, and enthusiasts in computer science, operations research, AI, and beyond.

This is the proceedings of the 1st International Conference (Hybrid) on Applications of AI in 5G and IoT (ICAAI5GI2024). It brings together ground-breaking research and practical insights into integrating Artificial Intelligence within 5G and the Internet of Things (IoT).

The book provides a comprehensive discussion for utilizing computational models such as artificial neural networks, agent-based models, and decision field theory for reliability engineering. It further presents optimization solutions for smart and secure healthcare services.

This book is discussing artificial intelligence-based smart systems for diagnosis and prediction of diseases, artificial intelligence in clinical decision-making, and artificial intelligence tools for clinical and healthcare data.

This book is a comprehensive exploration of the dynamic interplay between bioinformatics and artificial intelligence (AI) within the healthcare landscape. This book introduces readers to the foundational principles of bioinformatics and AI, elucidating their integration and collaborative potential.

This book is an essential guide to the constantly changing environment of embedded systems in healthcare in a world where the convergence of technology and healthcare is becoming increasingly important.

This book critiques legal frameworks involving the bulk processing of personal data to predict and prevent crime through advanced profiling technologies. It questions their legitimacy and impact in light of the EU's powers to provide security while safeguarding fundamental human rights.

Sentiment Analysis Unveiled: Techniques, Applications, and Innovations is intended for professionals, researchers, and scientists in the field of Artificial Intelligence, and sentiments analysis. It will serve as a valuable resource for both beginners and experienced professionals in the field.

Systemic Service Design provides a comprehensive overview of how systems theories can be integrated into service design to address complex social-economic-technological challenges. The book delivers theoretical and practical knowledge for students and designers, managers, public and private sector planners, engineers and politicians.

Systemic Service Design provides a comprehensive overview of how systems theories can be integrated into service design to address complex social-economic-technological challenges. The book delivers theoretical and practical knowledge for students and designers, managers, public and private sector planners, engineers and politicians.

Multifidelity Modeling in Vibration Analysis teaches users how to make predictions about physical systems in a computationally inexpensive manner.

This book explores the role of Embedded AI in revolutionising industries such as healthcare, transportation, manufacturing, retail. It begins by introducing the fundamentals of AI and embedded systems and specific challenges and opportunities.

Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first and second editions, this third edition further expands the topics covered and presents more step-by-step examples of modern approaches to the analysis of survey data using the newest statistical software procedures.

Smart Industries in the Gig Economy: Scope, Opportunities, and Challenges discusses topics from manufacturing to service sectors, from startups to established corporations, and from localized operations to global networks using the threads of Smart Industries and the Gig Economy to weave a tapestry of innovation and change.

With rapid advancements in AI, this book reveals how AI can be a powerful tool in reducing pollution and fostering sustainability. It highlights the integration of geospatial techniques with AI for enhancing capabilities in mapping, analysis, and mitigation of environmental pollution.

This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically Machine learning-as-a-Service (MLaaS) to realize IoT to its full potential.