Artificial Intelligence and Its Applications (eBook, PDF)

First International Conference, ICAIA 2023, Pune, India, December 18-19, 2023, Proceedings, Part I
Redaktion: Gupta, Anish; Zalevsky, Zeev; Hinchey, Michael

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 256
• Erscheinungstermin: 12. März 2025
• Englisch
• ISBN-13: 9783031843976
• Artikelnr.: 73629363

Inhaltsangabe

.- 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.