Aditya Gupta – författare

Presents reprinted tutorial papers on HEMTs, HBTs and heterojunctions, including papers which report major achievements of the HEMT and HBT technologies in the fields of microwave, millimeter-wave and digital ICs. The book discusses the important aspects of device physics and analytical models device fabrication technology, aspects of physics and growth technology of heterojunctions and application of resonant tunnelling to field-effect and bipolar transistors.

The book emphasizes the role of data in driving healthcare transformation, providing readers with a roadmap for understanding and effectively implementing data-driven innovations. It delves into the applications of big data analytics, unveiling valuable insights and offering real-time decision support to healthcare professionals and goes on to review the role of machine learning and artificial intelligence in enabling accurate diagnosis, personalized treatment recommendations, and predictive modeling.The book is an invaluable resource for healthcare professionals, researchers, policymakers, and technology enthusiasts alike. Its practical insights and perspectives empower stakeholders to leverage data-driven technologies effectively, thus fostering continuous improvements in patient care and shaping a brighter future for the healthcare industry as a whole.

The book emphasizes the role of data in driving healthcare transformation, providing readers with a roadmap for understanding and effectively implementing data-driven innovations. It delves into the applications of big data analytics, unveiling valuable insights and offering real-time decision support to healthcare professionals and goes on to review the role of machine learning and artificial intelligence in enabling accurate diagnosis, personalized treatment recommendations, and predictive modeling.The book is an invaluable resource for healthcare professionals, researchers, policymakers, and technology enthusiasts alike. Its practical insights and perspectives empower stakeholders to leverage data-driven technologies effectively, thus fostering continuous improvements in patient care and shaping a brighter future for the healthcare industry as a whole.

Computational intelligence has emerged as a pivotal field at the intersection of computer science and artificial intelligence. This book explores the latest developments in computational systems and its diverse applications. The focuses on both theoretical foundations and practical implementations of computational algorithms in developing intelligent systems, providing readers with a roadmap for understanding and effectively implementing data-driven innovations. Notably, the book explores how visual computing, Artificial Intelligence and Machine Learning could potentially be used to provide real-time decision support to both researchers and practitioners. In conclusion, it aims to be a definitive resource for those seeking a deep understanding of the rapidly evolving field of computational intelligence. The book's structure, content, and focus on practical applications position it as a valuable asset for both researchers and practitioners in the Artificial Intelligence and Machine Learning communities.The book is designed for researchers, academics, and professionals working in the fields of computer science, artificial intelligence, and machine learning. It is also suitable for graduate students seeking a thorough understanding of computational intelligence concepts andtheir real-world applications.

Generative artificial intelligence (AI) has potential to improve healthcare because it can enable smarter, more efficient solutions across diagnostics, treatment, and patient care. By analyzing vast amounts of medical data, generative AI systems can identify patterns, predict disease progression, and assist in early diagnosis with remarkable accuracy. It enhances personalized medicine by generating tailored treatment plans based on individual patient profiles, including genetic, lifestyle, and clinical data.Smarter Healthcare through Generative Intelligence examines the convergence of healthcare and intelligent computation and how it is reshaping the global healthcare landscape. Focusing on applications and management issues, it looks at generative models, privacy-aware distributed computing, smart sensing technologies, and policy frameworks. From data augmentation to drug discovery and from mental health assessment to intelligent patientcommunication, the book explores the ways generative AI can transform healthcare.Highlights include:· Fog computing for smart healthcare· Leveraging generative intelligence to overcome dataset limitations in emotional well-being analysis· Ethical considerations in AI-driven smart healthcare· Designing intelligent chatbots for healthcareGenerative AI is transforming healthcare into a more proactive, precise, and patient-centered industry. Written for healthcare practitioners, researchers, policymakers, and technologists, this book is a guide on how they can design,adopt, and govern generative technologies for smarter healthcare.

Generative artificial intelligence (AI) has potential to improve healthcare because it can enable smarter, more efficient solutions across diagnostics, treatment, and patient care. By analyzing vast amounts of medical data, generative AI systems can identify patterns, predict disease progression, and assist in early diagnosis with remarkable accuracy. It enhances personalized medicine by generating tailored treatment plans based on individual patient profiles, including genetic, lifestyle, and clinical data.Smarter Healthcare through Generative Intelligence examines the convergence of healthcare and intelligent computation and how it is reshaping the global healthcare landscape. Focusing on applications and management issues, it looks at generative models, privacy-aware distributed computing, smart sensing technologies, and policy frameworks. From data augmentation to drug discovery and from mental health assessment to intelligent patientcommunication, the book explores the ways generative AI can transform healthcare.Highlights include:· Fog computing for smart healthcare· Leveraging generative intelligence to overcome dataset limitations in emotional well-being analysis· Ethical considerations in AI-driven smart healthcare· Designing intelligent chatbots for healthcareGenerative AI is transforming healthcare into a more proactive, precise, and patient-centered industry. Written for healthcare practitioners, researchers, policymakers, and technologists, this book is a guide on how they can design,adopt, and govern generative technologies for smarter healthcare.

Take a practioner’s approach in analyzing the Internet of Things (IoT) devices and the security issues facing an IoT architecture.  You’ll review the architecture's central components, from hardware communication interfaces, such as UARTand SPI, to radio protocols, such as BLE or ZigBee. You'll also learn to assess a device physically by opening it, looking at the PCB, and identifying the chipsets and interfaces. You'll then use that information to gain entry to the device or to perform other actions, such as dumping encryption keys and firmware. As the IoT rises to one of the most popular tech trends, manufactures need to take necessary steps to secure devices and protect them from attackers. The IoT Hacker's Handbook breaks down the Internet of Things, exploits it, and reveals how these devices can be built securely.What You’ll LearnPerform a threat model of a real-world IoT device and locate all possible attacker entry points Use reverse engineering of firmware binaries to identify security issues Analyze,assess, and identify security issues in exploited ARM and MIPS based binariesSniff, capture, and exploit radio communication protocols, such as Bluetooth Low Energy (BLE), and ZigBeeWho This Book is ForThose interested in learning about IoT security, such as pentesters working in different domains, embedded device developers, or IT people wanting to move to an Internet of Things security role.