Computational Technologies and Electronics: First International Conference, ICCTE 2023, Siliguri, India, November 23–25, 2023, Proceedings, Part I

This two-volume set, CCIS 2376 and CCIS 2377, constitutes proceedings from the First International Conference on Computational Technologies and Electronics, ICCTE 2023, held in Siliguri, India, during November 23–25, 2023. The 46 full papers presented here were carefully selected and reviewed from 157 submissions. These papers have been organized in the following topical sections: Pat I- Pattern recognition & AI Part II- Data communication & security; Applied electronics.

Table of Contents:
.- Pattern Recognition & AI. .- Resource Description Framework Statement Generation using Soft Attention Based Hybrid Resnet-Bidirectional Long Short Term Memory Model. .- Evaluating the Tri-Script Writer Verification System Using a Handcrafted Features and Vision Transformer Learning Approach. .- Wildlife detection using ANN and other modern technology: A survey of literatures. .- Enhancing Learning Outcomes Through the Use of Conducive Learning Spaces. .- Smart Diagnosis using Symptoms for Seeking a Specialist Doctor. .- A Comprehensive Review and Future Prospects of Lie Detection Using Machine Learning. .- Searching optimizers for Deep Learning based Hyperspectral image classification. .- Efficient Crop Recommendation System: A Machine Learning Based Approach. .- Human Fall Detection using Transfer Learning-based 3D CNN. .- Anomaly Detection in Respiratory Events Using Machine Learning. .- Federated Learning to Speed Up Pre-processing of Large Data Sets. .- Flood Susceptibility Zonation using Geospatial Frequency Ratio and Artificial Neural Network techniques within Himalayan Terai Region: A Comparative Exploration. .- A Fertilizer Recommendation System Using an Assembly of Regressors Coupled with Nature-Inspired Optimization Algorithms. .- State-of-the-Art in Feature Selection: Applications of the Slime Mould Algorithm. .- MOODBYTBLB: Impact of Covid-19 among Indians: A Sentiment Analysis Using Textblob. .- MythBuster: A Comparative Analysis of Few Machine Learning and Deep Learning Models for Fake News Detection. .- Unsupervised Approach for Word Sense Disambiguation in Bengali. .- A Hybrid Method for Bengali Word Segmentation from Handwritten Copies of School Students. .- Securing Social Spaces: Harnessing Deep Learning to Eradicate Cyberbullying. .- Exploring Intonation patterns in Nepali Speech: A Phonetic and Linguistic Analysis for Text-to-Speech System. .- Sentiment Analysis on Airline Customer review using Language model and capsule network. .- Implementation of Digital Healthcare for Improving Maternal Care: A Systematic Review. .- Video Content Analysis and Classification Based on Human Activity Recognition. .- Machine Learning Based Expert System for Breast Cancer Prediction (MLESBCP). .- ARU NET: Follicle Segmentation from Ultrasound Images of Ovaries Using Attention Residual U-NET Model. .- d-RIMNet: RIMNet with Depthwise Separable Convolutional Layer for Retinal OCTA Image Segmentation. .- Multi-modal Biometric Authentication: Harnessing Human Gait and Keystroke Dynamics for Enhanced Security.