| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Proceedings of 5th International Conference on Artificial Intelligence and Smart Energy/ edited by S. Manoharan, Alexandru Tugui, Isidoros Perikos. |
| Reminder of title: |
ICAIS 2025. |
| remainder title: |
ICAIS 2025 |
| other author: |
Manoharan, S. |
| corporate name: |
International Conference on Artificial Intelligence and Smart Energy |
| Published: |
Cham :Springer Nature Switzerland : : 2025., |
| Description: |
xiii, 585 p. :ill. (chiefly color), digital ;24 cm. |
| [NT 15003449]: |
Deep Learning for Fake News Detection: A Review of Multi-Model Approaches In Social Media Contexts -- A Comprehensive Survey on Text Spotting in Natural Images Using Deep Learning -- A Review on Transfer Learning Models for Precise Alzheimer's Disease Stage Identification -- A Review of Artificial Intelligence Techniques in Papaya Leaf Disease Classification -- A study of Graph Neural Network Frameworks and Frontiers -- Avian Census: Real-Time Bird Counting using Region-based Convolutional Neural Network -- Implementation of Fuzzy Optimization in Activity Recognition with deep learning -- ALO-FCE: An Antlion Optimization Based Feature Extraction For Network Traffic Classification Using Fully Connected Autoencoders -- Transforming images into multilingual captions for accessibility and interaction -- ResNet-Defake: Detecting Deepfake Images with Customized ResNet -- AI Driven Food Recognition and Real-Time Pose Estimation for Health Monitoring -- Ensemble-Based DL Model For Predicting And Detecting Diabetic Retinopathy Using Retinal Images -- Leveraging Supervised Learning Algorithms for Automated and Accurate Cattle Disease Diagnosis in Livestock Farming in Somalia -- Video Forgery Detection Using Multi-Scale Feature Extraction with ResNet50 -- Smartoutfit: CNN Based Matching for Perfect Outfit Combination. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Artificial intelligence - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-90478-3 |
| ISBN: |
9783031904783 |