Proceedings of Second International Conference on Computational Technologies and Electronics : ICCTE 2025, Volume 2 / edited by Ardhendu Mandal, J K M Sadique Uz Zaman, Sudan Jha, Chandan Karfa.

Format:

Book

Author/Creator:

Mandal, Ardhendu.

Series:

Lecture Notes in Electrical Engineering, 1876-1119 ; 1630

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Signal processing.

Telecommunication.

Computational Intelligence.

Artificial Intelligence.

Signal, Speech and Image Processing.

Communications Engineering, Networks.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Signal, Speech and Image Processing.

Communications Engineering, Networks.

Physical Description:

1 online resource (547 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

This book presents best-selected papers presented at the Second International Conference on Computational Technologies and Electronics (ICCTE 2025), organized by Department of Computer Science & Technology, University of North Bengal, Darjeeling, West Bengal, India, from 20–22 November 2025. The book targets current research in the areas of pattern recognition, data communication, applied electronics, artificial intelligence, and related application areas.

Contents:

Lecture Notes in Electrical Engineering

Proceedings of Second International Conference on Computational Technologies and Electronics

Contents

Machine Learning for Precision Agriculture: A Hybrid GBDNN Model for Soil Analysis and Enhanced Crop Yield Prediction

Comprehensive Evaluation of Different Approaches for Electricity Load/Demand Forecasting Machine Learning, Deep Learning, and Hybrid Models

Bridging Logic and Learning in AI: A Neuro-Symbolic Framework for Relation Prediction from Knowledge-Enriched Text

Impact Assessment of Noise, Resolution, and Spectral Features on Deep Learning-Based Change Detection in Satellite Images

Prediction of Indian Stock Market Trend Using Seasonality with LSTM

Prediction of Hereditary Cancer Disease Using Machine Learning: A Study

CSPDarkNet53-ViT: A Hybrid Deep Learning Architecture for Nail Disease Diagnosis

A CNN-BiLSTM Hybrid Architecture for Binary Classification of Eczema from Skin Lesion Images

Formal Constraint-Guided Neural Network Design for Safe and Trustworthy AI

A Computationally Efficient Method for Road Segmentation and Statistics-Based Classification on Low-Power Devices

Detecting Parkinson's Disease Using Deep Learning

Smart Farming Using Machine Learning Analytics for Crop Yield Prediction: EESCYP-II

Quantum Algorithmic Design Approaches for Solving N-Queens Problem

YOLOv8-WBF: A New Approach for Human Motion and Pattern Recognition in Football Sports

Boolean Logic-Based Classification and Analysis of Cellular Automata

Performance Evaluation of ResNet50 and InceptionV3 Model for Breast Cancer on Histopathological Data

Deep Learning for Automatic Detection of Glaucoma

An Optimized Boosting Algorithm-Based Meta Learning Ensemble for Landslide Susceptibility Prediction: A Study in South Sikkim.

Assessment of Flood Susceptibility in the Teesta River Basin: A Novel Deep Learning Framework with Hybrid Feature Selection

Comprehending Diabetes Prediction: A Boruta-Driven Comparative Analysis of Boosting Algorithms

Application of Differential Evolution in Optimizing Deep Learning Ensemble Models for the Prediction of Histopathological Grading of Non-small Cell Lung Cancer

Deep Learning-Based Brain Tumor Identification: A Lightweight CNN Approach for MRI Analysis

Early Blight Severity Estimation in Potato Leaves Using Light-Weight Convolutional Network with Spatial Attention Layer

Low-Cost Cognitive Load Detection Framework for Personalized Wearables Using Rule-Based XAI

Fundamentals of Optimizing Deep Neural Networks: A Study of Gradient-Based and Bio-inspired Approaches

Reducing Cloud Communication Bandwidth in Edge-Cloud Partitioned Neural Networks for CPS

Comparative Assessment of Deep Neural Architectures for Satellite Image Classification with Transfer Learning

Exploring the Impact of Social Networking on Bangladeshi University Students' Education Using Machine Learning Methods

Author Index.

Notes:

Print version record.

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Mandal, Ardhendu Proceedings of Second International Conference on Computational Technologies and Electronics

ISBN:

9783032251763

OCLC:

1610748449