Full Description
This book constitutes the revised selected papers of the second International Conference on Intelligent Computing and Technologies, ICTCon 2024, held in Kokrajhar, India, during December 2-3, 2024.
The 37 full papers were presented in this volume were carefully reviewed and selected from 103 submissions. These papers were organized into the following topical sections: Artificial Intelligence; Data Science; Computing; and Computer Vision.
Contents
.- Artificial Intelligence.
.- Efficient Depression Detection through Two EEG Electrodes with Wave-SpatialNet.
.- A GIS based Spatial Supervised Machine Learning Classification of LISS-III Satellite Imagery.
.- Deep Learning-Enhanced Biometric Authentication with Distributed Storage.
.- A Machine Learning Based Approach for Automatic Crop Recommendation System.
.- Performance Evaluation of Machine Learning Classifiers with Grid Search Hyperparameter Tuning for sEMG Signal Classification.
.- Predicting Insurance Premium for Life Insurance Applicants using Machine Learning.
.- Enhancing Chronic Kidney Disease Prediction Using Explainable Machine Learning Models.
.- Impact of Image Resolution and Class Complexity on QCNN Performance.
.- Hybrid Decision Tree and Genetic Algorithm for Enhanced Classification Accuracy.
.- Artificial Intelligence, Customer Engagement, and Customer Loyalty: A Framework of Assam Based Tourism.
.- Data Science.
.- A Multimodal Biometric Based on Audio and Visio Trait: A Review.
.- Attention-based Efficient CNN-GRU Architecture for Human Action Recognition.
.- DeepIntrospector: On designing an alert-fusion based hybrid VMM-IDS framework for effective threat identification.
.- Assessing Legal Awareness and the Need for Regional Legal Technology: Insights from a Survey-Based Study.
.- Pressmatch: A Data-Driven Framework to Automate Journalist Recommendation for Media Coverage.
.- AndroV-Rank: Optimized Android Malware Detection through VIKOR-Ranked Hybrid Features.
.- NLP Tools and Resources to Revitalize Potentially Vulnerable Low Resourced Kudmali Language: A Brief Overview.
.- Enhancing Sentiment Analysis: A Robust Approach to Fake Review Detection Using Feature Fusion.
.- A Multidimensional Approach to Context-Aware Cyberbullying Detection Through Metadata Analysis.
.- Machine learning approach to predict the power conversion efficiency of CsSnI3 based solar cell.
.- Computing.
.- Cloud-Based EHR Security Using Hybrid Cryptographic Techniques.
.- A High Capacity Non-Blind 3D Mesh Data Hiding Technique.
.- Exploring Word Prediction in Bodo: A Step Toward Low-Resource Language Processing.
.- A Dynamic Load Balancing Approach in Software-Defined Network.
.- Energy-Efficient Hybrid GA-PSO Resource Scheduling for Digital Twin-Oriented IoT Applications in Mist Computing.
.- Computer Vision.
.- Coffee Leaves Rust Detection using YOLOv8.
.- A Comparative Analysis of Deep CNN Models for classifying Plant Leaf Disease.
.- Multi-Modal Aerial Surveillance for Dynamic Crack Detection on Indian Roads.
.- Hand Gesture Detection of Sattriya Dance Utilizing Deep learning and Handcrafted Features.
.- Ship Segmentation in Satellite Imagery using Cross-modal Attention Integrated High-Resolution Network.
.- Enhanced Deepfake Detection and Classification Using Vision Transformers (ViT).
.- Convolutional Neural Network-based Model for Breast Cancer Classification.
.- Integrating Aerial and Ground level image data for Leaf and Stem Rust Detection using Texture and color Features.
.- SegCapNet: Enhancing E-Commerce Visual Search with U2-Net Segmentation and BLIP Captioning.
.- Real-Time Speed Estimation, License Plate Recognition of Detected vehicles for the Intelligent Traffic Management System.
.- Intelligent Deep Learning Based Feature Fusion Model for Remote Sensing Image Analysis.
.- EfficientNetV2 based approach for disease detection in Mango plant leaves using drone images.
