Generative AI is one of the most trending topics and application in every field of Science and Engineering with AI and Machine Intelligence. It is used to develop new products and automate the system by generating the new and improved models and improve decision making systems.
Generative AI is one of the most trending topics and application in every field of Science and Engineering with AI and Machine Intelligence. It is used to develop new products and automate the system by generating the new and improved models and improve decision making systems.
Debnath Bhattacharyya is a Professor in the Computer Science and Engineering Department, KL University, Bowrampet, Hyderabad, India. His research interests include Security Engineering, Pattern Recognition, Biometric Authentication, Multimodal Biometric Authentication, Data Mining and Image Processing. Yu-Chen Hu is a Professor in the Department of Computer Science at Tunghai University, Taichung City, Taiwan. His interests include image and signal processing, data compression, information hiding, information security, computer network, deep learning, and data engineering.
Inhaltsangabe
Preface. List of Contributors. Foundations of Computational Techniques in Healthcare and Drug Discovery: A Deep Learning Perspective. Machine Learning Algorithms and Models for Predictive Healthcare Analytics in Drug Discovery. Computational Intelligence Transforming Healthcare 4.0: Innovations in Medical Image Analysis through AI and IoT Integration. Unlocking Medical Data Intelligence: Methodologies and Practical Applications. Revolutionizing Health Informatics: Artificial Intelligence Applications in Health Care. Empowering Smart Healthcare with Federated Learning: Advancements in Human Health. Precision Prognosis in Oncology: Harnessing Deep Learning for Solid Tumor Imaging. Optimizing Healthcare Decision-Making: Advanced Models for Diverse Applications. Artificial Intelligence-Powered Disease Diagnosis: A New Era in Medical Practice. Cutting-Edge Medical Diagnostics: Identifying Cancerous and Non-Cancerous Tumors with Precision. Harnessing Deep Neural Networks for Human Disease Identification: Insights and Applications. Estimating Disease Severity with Precision: Leveraging Deep Neural Networks. Nodule and Irregular Cell Detection in Organs: Advancements in Medical Imaging. Enhancing Lung Disease Identification Through Ensemble Learning Methods. Unveiling Advanced Techniques for Feature Extraction in Medical Data.
Preface. List of Contributors. Foundations of Computational Techniques in Healthcare and Drug Discovery: A Deep Learning Perspective. Machine Learning Algorithms and Models for Predictive Healthcare Analytics in Drug Discovery. Computational Intelligence Transforming Healthcare 4.0: Innovations in Medical Image Analysis through AI and IoT Integration. Unlocking Medical Data Intelligence: Methodologies and Practical Applications. Revolutionizing Health Informatics: Artificial Intelligence Applications in Health Care. Empowering Smart Healthcare with Federated Learning: Advancements in Human Health. Precision Prognosis in Oncology: Harnessing Deep Learning for Solid Tumor Imaging. Optimizing Healthcare Decision-Making: Advanced Models for Diverse Applications. Artificial Intelligence-Powered Disease Diagnosis: A New Era in Medical Practice. Cutting-Edge Medical Diagnostics: Identifying Cancerous and Non-Cancerous Tumors with Precision. Harnessing Deep Neural Networks for Human Disease Identification: Insights and Applications. Estimating Disease Severity with Precision: Leveraging Deep Neural Networks. Nodule and Irregular Cell Detection in Organs: Advancements in Medical Imaging. Enhancing Lung Disease Identification Through Ensemble Learning Methods. Unveiling Advanced Techniques for Feature Extraction in Medical Data.
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