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Intelligent Computing and Technologies -

Intelligent Computing and Technologies

Second International Conference, ICTCon 2024, Kokrajhar, India, December 2–3, 2024, Proceedings
Buch | Softcover
XII, 511 Seiten
2026
Springer International Publishing (Verlag)
978-3-032-10249-2 (ISBN)
CHF 134,80 inkl. MwSt
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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
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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