| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Artificial intelligence and its applications/ edited by Anish Gupta, Michael Hinchey, Zeev Zalevsky. |
| Reminder of title: |
first International Conference, ICAIA 2023, Pune, India, December 18-19, 2023 : proceedings. |
| remainder title: |
ICAIA 2023 |
| other author: |
Gupta, Anish. |
| corporate name: |
International Conference on Artificial Intelligence and Applications |
| Published: |
Cham :Springer Nature Switzerland : : 2025., |
| Description: |
xiv, 256 p. :ill., digital ;24 cm. |
| [NT 15003449]: |
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. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Artificial intelligence - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-84397-6 |
| ISBN: |
9783031843976 |