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:
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.
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.
Table of Contents
Chapter 1 IoT Based Website for Identification of Acute Lymphoblastic Leukemia Using Dl- Rambika1, Sthejaswini2, Nramesh Babu, Tariq Hussain Sheikh, Nagaraj Bhat and Zafaryab Rasool
- Introduction
- Literature Survey
- Materials and Methods
- Data Collection
- Data Preprocessing
- Resizing
- Image Augmentation
- Dl - Vgg 16
- Web Development
- Results and Discussion
- Advantages of the Study
- Conclusion
- Consent for Publicaton
- Conflict of Interest
- Acknowledgement
- References
- Vedanarayanan Venugopal1, Sujata Vmallapur, T
- Introduction
- Literature Survey
- Proposed System
- Artificial Neural Network
- Implementation
- Result and Discussion
- State of Art
- Conclusion
- Consent for Publicaton
- Conflict of Interest
- Acknowledgement
- References
Koteswara Rao Vaddempudi1, K
- Introduction Literature Survey
- Materials and Methods
- Dataset Description
- Artificial Neural Network
- Implementation
- Result and Discussion
- Novelty of the Study
- Conclusion
- Consent for Publicaton
- Conflict of Interest
- Acknowledgement
- References
- Koteswara Rao Vaddempudi, Abdul Rahman H Ali, Abdullah Al-Shenqiti, Christopher, Francis Britto, Nkrishnamoorthy and Aman Abidi
- Introduction
- Literature Survey
- Proposed System
- Block Diagram
- Flow Diagram
- Results and Discussion
- Contribution to the Health Sector
- Conclusion
- Consent for Publicaton
- Conflict of Interest
- Acknowledgement
- References
- Introduction
- Model Description
- System Identification
- Material Balance Equation for Drug Preparation
- Mass Flow Rate for Drug Preparation
- Predictive Controller
- Results
- Simulation Results of Drug Preparation for Nn Controller and Pid Controller
- Discussion
- Conclusion
- Consent for Publicaton
- Conflict of Interest
- Acknowledgement
- References
- Introduction
- Materials and Methods
- Fe
- Db4
- Haar
- Classification Techniques
- Svm
- Rf
- Result and Discussion
- Gaps Filled
- Conclusion
- Consent for Publicaton
- Conflict of Interest
- Acknowledgement
- References
- Introduction
- Literature Survey
- Materials and Methods
- Preprocessing Techniques
- Dl Model
- Transfer Learning (Vgg-19)
- Cnn
- Result Analysis
- Discussion
- Conclusion
- Consent for Publicaton
- Conflict of Interest
- Acknowledgement
- References
- Korla Swaroopa1, Nchaitanya Kumar, Christopher Francis Britto, Mmalathi Karthika Ganesan and Sachin Kumar
- Introduction
- Methodology
- Fe
- Glcm
- Glrm
- Classification Methods
- Svm
- Knn
- Results and Discussion
- Gaps Filled
- Conclusion
- Consent for Publicaton
- Conflict of Interest
- Acknowledgement
- References
- Vvedanarayanan, Nagaraj Gcholli, Merin Meleet, Bharat Maurya, Gappasami ,And Madhu Khurana
- Introduction
- Materials and Methods
- Preprocessing Techniques
- Data Resizing
- Data Augmentation
- Dl Techniques
- Vgg-16
- Resnet-50
- Web Development
- Result and Discussion
- State of Art
- Conclusion
- Consent for Publicaton
- Conflict of Interest
- Acknowledgement
- References
- Shweta M Madiwal, Msudhakar, Muthukumar Subramanian, Bvenkata Srinivasulu, Snagaprasad and Madhu Khurana
- Introduction 5
- Methodology
- Preprocessing
- Prediction Methods
- Deployment
- Result
- Discussion
- Conclusion
- Consent for Publicaton
- Conflict of Interest
- Acknowledgement
- References
- Praveen Gupta1, Nagendra Kumar, Ajad, Narulkumar and Muthukumar Subramanian
- Introduction
- Materials and Methods
- Fe Techniques
- Glcm
- Glrm
- Classification Techniques
Author
- Shashank Awasthi
-Mahaveer Singh Naruka
-Satya Prakash Yadav
