Full Description
This book constitutes the refereed proceedings of the First International Conference on Artificial Intelligence and its Applications, ICAIA 2023, held in Pune, India, during December 18-19, 2023.
The 37 full papers and 3 short papers presented in these two volumes were carefully reviewed and selected from 217 submissions. The conference focused on three primary domains: Use of AI in Health Care; Machine Vision and Image Processing; Automated and Digital Manufacturing Systems.
Contents
.- Artificial Intelligence in the Healthcare Sector: Possibilities and Problems.
.- A Study on revolution of healthcare industry with transformational Artificial Intelligence tool.
.- The Hybrid Cardiac Risk Assessment and Prediction Model Using Convolutional Neural Network.
.- Deep Learning Applications for Malaria Detection and Diagnosis: A Review.
.- Environmental Considerations in the Ethics of AI Adoption in Healthcare: Striving for Sustainable and Responsible Practices.
.- Harnessing the Power of Cognitive Computing: Assessing Point-of-Care Decision Support Tools in Oncology Practice.
.- Critical Analysis in Use of AI in Health Care Management.
.- Classification and Prediction of Spinal Tuberculosis Disease using Optimization of Convolution Neural Network using Spatial and Temporal Constraints.
.- Artificial Intelligence for Remote Healthcare in Underserved Areas: Enhancing Access and Quality of Healthcare Delivery.
.- Machine learning based Skin cancer detection and recognitions techniques in IoT environment.
.- Validation of a chronic kidney disease prediction system using machine learning techniques.
.- Real-Time Feedback Detection using Emotion Detection and Facial Recognition.
.- Revolutionizing Vision Tasks: Unlocking Potential through Patch-based Approaches.
.- Automated Knee Implant Identification from 2D Templates using Image Processing and Artificial Intelligence- An Experimental Approach.
.- Crop Analysis and Classification based on Phenotype using Ensemble Learning.
.- Classification & identification with health benefit assessment and nutrient profile of brewed tea utilizing computer vision with ML & DL and sensory approaches.
.- Enhancing Industrial Automation Flexibility through Neural Network-Empowered Machine Vision Applications.
