AI and IoT-based intelligent Health Care & Sanitation
eBook - ePub

AI and IoT-based intelligent Health Care & Sanitation

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

AI and IoT-based intelligent Health Care & Sanitation

About this book

The book aims to provide a deeper understanding of the synergistic impact of Artificial intelligence (AI) and the Internet of Things (IoT) for disease detection. It presents a collection of topics designed to explain methods to detect different diseases in humans and plants. Chapters are edited by experts in IT and machine learning, and are structured to make the volume accessible to a wide range of readers. Key Features: - 17 Chapters present information about the applications of AI and IoT in clinical medicine and plant biology - Provides examples of algorithms for heart diseases, Alzheimer's disease, cancer, pneumonia and more - Includes techniques to detect plant disease - Includes information about the application of machine learning in specific imaging modalities - Highlights the use of a variety of advanced Deep learning techniques like Mask R-CNN - Each chapter provides an introduction and literature review and the relevant protocols to follow The book is an informative guide for data and computer scientists working to improve disease detection techniques in medical and life sciences research. It also serves as a reference for engineers working in the healthcare delivery sector.

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Yes, you can access AI and IoT-based intelligent Health Care & Sanitation by Shashank Awasthi,Mahaveer Singh Naruka,Satya Prakash Yadav, Shashank Awasthi, Mahaveer Singh Naruka, Satya Prakash Yadav in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Welcome
  2. Table of Content
  3. Title
  4. BENTHAM SCIENCE PUBLISHERS LTD.
  5. PREFACE
  6. List of Contributors
  7. IoT Based Website for Identification of Acute Lymphoblastic Leukemia using DL
  8. AI and IoT-based Intelligent Management of Heart Rate Monitoring Systems
  9. Deep Learning Applications for IoT in Healthcare Using Effects of Mobile Computing
  10. Innovative IoT-Based Wearable Sensors for the Prediction & Analysis of Diseases in the Healthcare Sector
  11. Construction and Evaluation of Deep Neural Network-based Predictive Controller for Drug Preparation
  12. Machine Learning based Predictive Analysis and Algorithm for Analysis Severity of Breast Cancer
  13. Glaucoma Detection Using Retinal Fundus Image by Employing Deep Learning Algorithm
  14. Texture Analysis-based Features Extraction & Classification of Lung Cancer Using Machine Learning
  15. Implementation of the Deep Learning-based Website For Pneumonia Detection & Classification
  16. Design and Development of Deep Learning Model For Predicting Skin Cancer and Deployed Using a Mobile App
  17. Feature Extraction and Diagnosis of Dementia using Magnetic Resonance Imaging
  18. Deep Learning-Based Regulation of Healthcare Efficiency and Medical Services
  19. An Efficient Design and Comparison of Machine Learning Model for Diagnosis of Cardiovascular Disease
  20. Deep Learning Based Object Detection Using Mask R-CNN
  21. Design and Comparison Of Deep Learning Architecture For Image-based Detection of Plant Diseases
  22. Discernment of Paddy Crop Disease by Employing CNN and Transfer Learning Methods of Deep Learning
  23. Deploying Deep Learning Model on the Google Cloud Platform For Disease Prediction
  24. Classification and Diagnosis of Alzheimer’s Disease using Magnetic Resonance Imaging