Nour Eldeen M. Khalifa – författare
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5 produkter
5 produkter
Toward Social Internet of Things (SIoT): Enabling Technologies, Architectures and Applications
Emerging Technologies for Connected and Smart Social Objects
Inbunden, Engelska, 2019
1 433 kr
Skickas inom 10-15 vardagar
This unique book discusses a selection of highly relevant topics in the Social Internet of Things (SIoT), including blockchain, fog computing and data fusion. It also presents numerous SIoT-related applications in fields such as agriculture, health care, education and security, allowing researchers and industry practitioners to gain a better understanding of the Social Internet of Things
Toward Social Internet of Things (SIoT): Enabling Technologies, Architectures and Applications
Emerging Technologies for Connected and Smart Social Objects
Häftad, Engelska, 2020
1 104 kr
Skickas inom 10-15 vardagar
This unique book discusses a selection of highly relevant topics in the Social Internet of Things (SIoT), including blockchain, fog computing and data fusion.
2 201 kr
Skickas inom 10-15 vardagar
This book provides a detailed overview of the latest developments and applications in the field of artificial intelligence and data science. It has also gained strength through the amount and quality of data which is the main nucleus of data science.
2 201 kr
Skickas inom 10-15 vardagar
This book provides a detailed overview of the latest developments and applications in the field of artificial intelligence and data science. It has also gained strength through the amount and quality of data which is the main nucleus of data science.
1 981 kr
Skickas inom 10-15 vardagar
Next-Gen Healthcare: AI-Powered Medical Innovations surveys how AI is transforming medicine from core methods to clinical deployment, emphasizing that technological power must be balanced with resilience, safety, and ethics. Part I covers the foundations of trustworthy medical AI, including adversarial defenses, cross-population generalization, optimized fine-tuning, interpretability for high-stakes decisions, and frontiers like quantum neural networks, ending with large language models focused on error detection, privacy, and patient safety.Part II applies AI methods to real-world domains: early Alzheimer’s and dementia diagnosis, oncology via lymphoma response prediction, chronic disease management with diabetes stratification and retinopathy detection, and extensions into dermatology, obesity, and mental health. The book’s introduce safeguards first, then generalizable and cutting-edge methods, ending with disease-focused AI applications. Its philosophy that safety underpins innovation and clinical impact, offering both a map of today’s medical AI and a guide to future opportunities