Recent Trends in Intelligence Enabled Research : Selected Papers of 7th Doctoral Symposium, DoSIER 2025.

Format:

Book

Contributor:

Bhattacharyya, Siddhartha., editor.

Pan, Indrajit., editor.

Mrsic, Leo., editor.

Platos, Jan., editor.

Banerjee, Jyoti Sekhar., editor.

Series:

Lecture Notes in Networks and Systems Series

Lecture Notes in Networks and Systems Series ; v.1959

Language:

English

Physical Description:

1 online resource (766 pages)

Edition:

1st ed.

Place of Publication:

Cham : Springer, 2026.

Summary:

This book gathers research papers presented at DoSIER 2025 (Seventh Doctoral Symposium on Intelligence Enabled Research, to be held at RCC Institute of Information Technology, Kolkata, West Bengal, India, from 21-22 November 2025).

Contents:

Lecture Notes in Networks and Systems

Recent Trends in Intelligence Enabled Research

Preface

Organization

Contents

About the Editor

A Robust Method for Impulse Noise Removal via Interval Type-2 Fuzzy Triangular Median-Sharpening Filter

Designing a Modular Agentic AI as a Personal Assistant for Grid Computing System

Deep Learning and AI in Oral Cancer Detection: Trends and Insights

An In-depth Analysis of Deep Learning Models for Vehicle Speed Estimation

Personality Analysis from Handwritten Text: A Regression-Based Approach

A Bayesian GRU Framework for Early Detection of Parkinson's Disease via Robust Speech Signal Modeling from Fuzzy Audio Data

A Picture Fuzzy Group Decision-Making Framework to Investigate Students' Perception of Immersive Flipped Classrooms

Identification of Disease-Relevant Biclusters in Alzheimer's Dataset: Design and Implementation of a New Variant of the Walrus Optimization Algorithm (WOA)

AI-Driven Academic Management System

Criminal Activity Detection Using Modified YOLOv8 Architecture

CalWatch: An AI-Blockchain Integrated Framework for Personalized Nutrition and Sustainable Digital Health Engagement

Ontological Framework for Real-Time Gesture-to-Number Recognition System

Bio-Physical Representation Learning for Plant Disease Classification

Securing IoT-Enabled Edge-Fog-Cloud Ecosystems: Challenges, Countermeasures, and Future Directions

Maritime UCAV Path Planning: A Comparative Study of Classical and Quantum-Inspired Adaptive Differential Evolution

Feature Selection and Predictive Modeling for Early Stage Cervical Cancer Diagnosis Through Biopsy

Implementation and Practical Application of International Digital Forensics Standards ISO/IEC 27037 and 27041 in Contemporary Digital Forensics Practice in Investigations.

Structural Modelling and Prioritization of Enablers of Sentient Logistics and Supply Chain Management in Q-Commerce

Agricultural E-Commerce Platform with Real-Time Negotiation with AI Product Validation

The Explainable Boosting Machine Based Framework for Transparent AI in Pedagogy

SAFF-MedVQA: A Segmentation-Aware Fusion Framework for Robust and Interpretable Medical Visual Question Answering

MOGAFSC: A Multi-objective Genetic Algorithm for Simultaneous Feature Selection and Clustering with Shapley-Based Optimization

Optimized Feature-Based Watermarking via Multi-Objective Genetic Algorithm and Differential Evolution

Leveraging Multi-objective AI and Social Media Analytics for Competitive Intelligence in Logistics

Gamification in Financial Education: Design, Implementation, and Evaluation of a Learning Solution

Optimizing Credit Card Fraud Detection: A Hybrid Machine Learning Methods Using SMOTE

Machine and Deep Learning for Parkinson's Disease Detection: A Multimodal Comparative Review

Android Malware Detection Using Smali Codes

Decadal Monitoring and Forecasting of Sundarbans Mangrove Land Cover Dynamics Using Landsat-8 and Google Earth Engine

Opportunistic Network Framework for Disaster Management Scenario

Design and Optimization of T Flip-Flop in Quantum-Dot Cellular Automata (QCA)

Efficient Machine Unlearning for Adaptive and Privacy-Preserving Recommendation Systems Based on Feature Reduction Techniques

Predictive Model for Early Breast Cancer Detection Using Machine Learning and Convolutional Neural Network

AgriNet: An IoT-Based Multi-node System for Smart Resource Management in Agriculture

A Hybrid Lightweight ResNet50-1D-CNN Transfer Learning Model for Accurate Eye Disease Classification

Hybrid Deep Reinforcement Learning Architectures for Accurate Aircraft Detection in Satellite Imagery.

Multi-modal CNN Based Emotion Recognition with Prior Pose Estimation Using YOLOv5

A Differential Evolution Based Approach for Transfer of Tasks from MEC Devices in the Mobile Edge Cloud Environment

Neuromorphic Classification of Dyslexia by Graph Convolutional Neural Network Realized with Memristors

Community Driven Influential Researcher Identification Through Attribute-Based Clustering

Author Index.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783032254467