Computational Technologies and Electronics

First International Conference, ICCTE 2023, Siliguri, India, November 23-25, 2023, Proceedings, Part I
Herausgegeben:Majumder, Mukta; Zaman, J. K. M. Sadique Uz; Ghosh, Mili; Chakraborty, Samarjit

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Communications in Computer and Information Science 2376
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-81934-6
• Seitenzahl: 356
• Erscheinungstermin: 1. März 2025
• Englisch
• Abmessung: 235mm x 155mm x 20mm
• Gewicht: 540g
• ISBN-13: 9783031819346
• ISBN-10: 3031819349
• Artikelnr.: 72206697

Inhaltsangabe

.- 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.