Intelligent Computing and Technologies
Springer International Publishing (Verlag)
978-3-032-10249-2 (ISBN)
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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.
.- 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.
| Erscheinungsdatum | 29.11.2025 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | XII, 511 p. 204 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Schlagworte | Artificial Intelligence • Human Computer Interaction (HCI) • Information Systems Applications • Information Theory • machine learning • Real-Time Systems • security services |
| ISBN-10 | 3-032-10249-9 / 3032102499 |
| ISBN-13 | 978-3-032-10249-2 / 9783032102492 |
| Zustand | Neuware |
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