Proceedings of the International Conference on Intelligent Data Analysis and Applications (IDAA 2025)
492 authors
- Abdin, Md. Joynal
- Addressing the Mental Health Crisis: Understanding Suicidal Risk Factors in University Students Through Interpretable Machine Learning
- Abdulla, Mohammad
- Design and Development of an Autonomous Fire-Fighting Robot Using GSM Communication
- Abdullah, Md
- A Machine Learning Approach to Predicting Depression in University Students in Bangladesh: Enhancing Mental Health Assessment
- Abdullah, Md
- Real-Time Motorbike Helmet Detection System Using Hybrid Deep Learning Model
- Abdullah, Mohammad
- Real-Time Motorbike Helmet Detection System Using Hybrid Deep Learning Model
- Abdullah, Zaffar
- An Optimized Multi-layer LSTM Network for Real-Time Short-Term Traffic Forecasting in Urban Environments
- Abid, Md Amzad Sadik
- Performance Analysis Based on Deep Learning Architecture to Track Out Cholangiocarcinoma
- Abir, Md. Arafath Hossen
- Performance Analysis Based on Deep Learning Architecture to Track Out Cholangiocarcinoma
- Abir, Md. Ismiel Hossen
- Handwritten Cyclic Compound Classification with EfficientNetB0 and Explainable AI Methods
- Adib, A. K. M. Sakibul Alam
- Real-Time Motorbike Helmet Detection System Using Hybrid Deep Learning Model
- Afrin, Anika
- TakaGuard: Mitigating Fraud Risks in Bangladesh’s Mobile Financial Services through BERT-based Sentence Classification
- Afrose, Sumiya
- RAG-Driven Scholarly Assistant: Automating Research Paper Analysis with Open-Source LLM Benchmarking
- Ahamed, Md Sabbir
- Machine Learning Approaches for Rumor Detection in Social Media: Types, Techniques, and Opportunities
- Ahamed, Md. Sazzadur
- Early Detection of Mental Health Disorders Among Private University Students in Bangladesh Using Machine Learning-Based Behavioral Data Analysis
- Ahamed, Nowshad
- Real-Time Motorbike Helmet Detection System Using Hybrid Deep Learning Model
- Ahmed, Farhan Tanvir
- Hybrid Ensemble of RF-DNN Model for BENIGN and Attack Traffic Classification in Intrusion System
- Ahmed, Fizar
- Psychological Risk Profiling for Post-COVID-19 Anxiety Using Interpretable Ensemble Learning
- Ahmed, Fizar
- A Predictive Analysis of Hall Culture’s Impact on University Students Personal Development
- Ahmed, Iftiak
- Intelli-Helmet: An IoT, Edge-AI, and TinyML-Based Real-Time Soldier Health and Threat Monitoring System with Novel Panic Tactile Switch Mechanism
- Ahmed, Md Wakil
- Prediction of Endometrial Carcinoma Recurrence Using a Stacking Ensemble with Meta-Learner
- Ahmed, Md. Didar
- AI-Driven Feature Extraction for Jute Leaf Disease Detection Using Enhanced Deep Learning
- Ahmed, Md. Jobayer
- Bridging AI and Ethnobotany: A Deep Learning Approach for Medicinal Plant Identification and Real-World Deployment
- Ahmed, Md. Toukir
- Amigo-Agri: A Human-Following Robotic Platform with Speech Recognition and Retrieval-Augmented Generation for Smart Farming
- Ahmed, Mowdud
- Influence of AI-Enhanced Customer Insights on Service Innovation: Mediating Role of Knowledge Management in Bangladeshi Service Firms
- Ahmed, Rahat
- A Machine Learning Framework for Early Depression Screening Based On Daily Activities
- Ahmed, S. S. Zobaer
- SciClusterNet: Discovering Emerging Topics in LLM and AI in Education
- Ahmed, Sami
- A Comparative Study of Sequential Models and Transformer-Based LLMs for Bangla Suspicious Political Comment Classification
- Ahmmed, Md. Mortuza
- A Novel Hematological Machine Learning Framework for Predictive Modeling of Dengue Diagnosis Using CBC Parameters in Bangladesh
- Ahmmed, Md.Mortuza
- Predicting User Trust in Customer-Service Chatbots: A Supervised Learning Study
- Aishy, Aisha Tasnim
- Secure Deepfake Audio Detection with a Soft-Voting Ensemble of PGD-Hardened Heterogeneous Models
- Aishy, Aisha Tasnim
- Memotion Analysis: Multimodal Fusion Techniques for Humor Classification in Memes
- Akash, Nizhum Biswas
- An Advanced Multi-Input LSTM Framework with Attention for Predicting the Risk Level of Cardiovascular Disease
- Akash, Rakibul Hasan
- Risk Level Prediction of Antenatal Period Using Machine Learning Approaches
- Akhtaruzzaman, M.
- Intelli-Helmet: An IoT, Edge-AI, and TinyML-Based Real-Time Soldier Health and Threat Monitoring System with Novel Panic Tactile Switch Mechanism
- Akib, Md. Musfiqur Rahman
- CKDX-Net: A Novel Cross-Domain Knowledge Distillation Framework from Tree-Based to Neural Architectures for Chronic Kidney Disease Staging with Adaptive Computational Optimization
- Akter, Khadiza
- Early Prediction of Gestational Diabetes Using Machine Learning Models with Non Invasive Clinical Features
- Akter, Rosni
- CKDX-Net: A Novel Cross-Domain Knowledge Distillation Framework from Tree-Based to Neural Architectures for Chronic Kidney Disease Staging with Adaptive Computational Optimization
- Akter, Sadia
- Enhancing BdSL Recognition: Comparative Evaluation of CNN, VGG16, ResNet50, and MobileNet Architectures
- Akter, Tamanna
- Air Pollution Monitoring and Prediction using Big Data Analytics and Machine Learning
- Akther, Mst Happy
- High-Accuracy 3-Class Cerebral Stroke Detection Using ConvNeXt: An End-to-End Vision Pipeline
- Al Huda, Md Sadi
- Exploring Deep 3D U-Net Architectures for Automated Brain Tumor Segmentation: A Study on the BraTS Benchmark Dataset
- Al Huda, Md. Sadi
- Bridging AI and Ethnobotany: A Deep Learning Approach for Medicinal Plant Identification and Real-World Deployment
- Al Kafi, Md Abdullah
- BOISHOMMO: Benchmarking Class Imbalance in Bangla Multi-Label Hate Speech Detection
- Al Mamun, Abdullah
- AIoT for Road Safety: Unified Vehicle Speed and License Plate Recognition in Bangladesh
- Al Mamun, Abdullah
- AI-Driven Feature Extraction for Jute Leaf Disease Detection Using Enhanced Deep Learning
- Al Mansur, Ahmed
- Accurate Battery Lifetime Estimation for Electric Vehicle Using Machine Learning Models
- Al Muhib, S. M. Abdullah
- A Lightweight MobileViT-Based Framework for Carambola Leaf and Fruit Disease Detection
- Al Noman, Abdulla
- A Comparative Study of Classical and Deep Learning Approaches for Bangla Handwritten Digit Recognition With Explainability
- Al Noman, Abdullah
- Advanced Hybrid CNN-ViT Ensemble with Attention and FPN Mechanism for Retinal OCT Disease Classification
- Al Noman, Abdullah
- AIoT for Road Safety: Unified Vehicle Speed and License Plate Recognition in Bangladesh
- Al Noman, Abdullah
- AI-Driven Personal Item & Crime Pattern Tracker for Bangladeshi Consumers
- Alam, Md. Nur
- Addressing the Mental Health Crisis: Understanding Suicidal Risk Factors in University Students Through Interpretable Machine Learning
- Alam, Mohammad Jahangir
- Advanced Hybrid CNN-ViT Ensemble with Attention and FPN Mechanism for Retinal OCT Disease Classification
- Alamin, MD.
- A Machine Learning Approach to Predicting Depression in University Students in Bangladesh: Enhancing Mental Health Assessment
- Ali, A. B. M. Shawkat
- Accurate Battery Lifetime Estimation for Electric Vehicle Using Machine Learning Models
- Ali, Md Muhasin
- Enhancing Road Safety through Hybrid CNN Models: Ensemble Framework for German Traffic Sign Recognition Benchmark (GTSRB)
- Ali, Md Sowkat
- Memotion Analysis: Multimodal Fusion Techniques for Humor Classification in Memes
- Ali, Md. Mithun
- AI-Driven Feature Extraction for Jute Leaf Disease Detection Using Enhanced Deep Learning
- Alif, Md. Shaharia
- Explainable Self-Attentive Transformer Model for Bangla Mental Health Disorder Detection
- Alim, Md Abdul
- Securing Authentication and Fraud Detection in Financial Systems Using Machine Learning
- Amin, Md. Abdul
- Ensemble and Transformer Models for Emotion Recognition in Bengali Consumer-Goods E-Commerce Comments
- Amin, Sadrul
- An Ensemble Machine Learning Framework for Malicious PDF Detection Using Static and Structural Features
- Anamika, Sanzida Afrin
- A PCA-Enhanced Ensemble Framework for Maternal Health Risk Prediction with SMOTE-ENN Balancing
- Ansary, Md Siam
- Identifying AI Generated Scientific Abstracts using Quantum Machine Learning
- Antor, Md. Siam Uddin Molla
- Explainable and Optimized Random Forest Model for Customer Purchase Prediction and Segmentation in E-Commerce
- Anurag, Arnob Aich
- An Advanced Multi-Input LSTM Framework with Attention for Predicting the Risk Level of Cardiovascular Disease
- Arefin, Mohammad Shamsul
- Peer-Review Statements
- Arifuzzaman, Md
- CatForest: Deep Contextual Sentiment Modeling for Mental Health Detection from Social Media
- Arman, Shajedul Hasan
- Exploring Deep 3D U-Net Architectures for Automated Brain Tumor Segmentation: A Study on the BraTS Benchmark Dataset
- Arnob, Kawsar Rahman
- Design and Development of an Autonomous Fire-Fighting Robot Using GSM Communication
- Arpan, Anmay Paul
- BiLSTM-Based Smishing Detection for Bangla SMS
- Asaduzzaman, Md
- Adaptive Explanation-Aware Stacking for Cervical Cancer Risk Prediction
- Ashef, Mahir
- CatForest: Deep Contextual Sentiment Modeling for Mental Health Detection from Social Media
- Ashiqussalehin, Md.
- Amigo-Agri: A Human-Following Robotic Platform with Speech Recognition and Retrieval-Augmented Generation for Smart Farming
- Ashraf, Ashari Binte
- A Customized Robust Deep Learning Approach for Efficient Medicinal Plant Recognition
- Ashraf, Fatima
- Intelli-Helmet: An IoT, Edge-AI, and TinyML-Based Real-Time Soldier Health and Threat Monitoring System with Novel Panic Tactile Switch Mechanism
- Asif, Tasnimul Intazam
- Deep Learning-Based Classification of Ischemic Stroke Using Brain CT Scans
- Assaduzzaman, Md
- YOLO-E3CA: An Ensemble YOLOv8 Framework with Coordinate Attention for Automated Detection of Karanda (Carissa carandas) Leaf Diseases
- Ataullha, Md
- CXR-Next: An Explainable Multi-Class Deep Learning Framework for Thoracic Disease Classification from Chest X-Rays
- Ayshe, Rafshia Mahbuba
- Secure Deepfake Audio Detection with a Soft-Voting Ensemble of PGD-Hardened Heterogeneous Models
- Azam, Showrov
- From Classical to Colloquial: Leveraging LLMs for Sadhu–Cholit Register Identification in Bangla
- Azam, Showrov
- BOISHOMMO: Benchmarking Class Imbalance in Bangla Multi-Label Hate Speech Detection
- Aziz, MD Abdullah Ibne
- Deep Learning-Based Classification of Ischemic Stroke Using Brain CT Scans
- Banik, Dipta Chandra
- AIoT for Road Safety: Unified Vehicle Speed and License Plate Recognition in Bangladesh
- Banik, Dipta Chandra
- AI-Driven Personal Item & Crime Pattern Tracker for Bangladeshi Consumers
- Banik, Mridul
- AIoT for Road Safety: Unified Vehicle Speed and License Plate Recognition in Bangladesh
- Banu, Ayesha
- Enhanced Rice Disease Recognition Using Transfer Learning
- Banu, Ayesha
- Binary-Class AI-Generated Content Detection Through Comprehensive Feature Engineering
- Baowaly, Mrinal Kanti
- A Machine Learning Framework for Early Depression Screening Based On Daily Activities
- Bari, Md Rofiqul
- Comparative Analysis of Deep CNN, Transfer Learning, and Proposed Ensemble Architecture for Monkeypox Detection
- Barua, Arpita
- Speech Emotion Recognition Using MFCC Audio Features: A Comparative Machine Learning Approach
- Begum, Afsana
- Text-Image Correlation in Generative-AI: An In Silico Study of Their Adaptivity
- Begum, Habiba
- Ensemble and Transformer Models for Emotion Recognition in Bengali Consumer-Goods E-Commerce Comments
- Begum, Khaleda
- Spatio-temporal Crime Analysis of Bangladesh using Machine Learning Models
- Bhowmik, Deepu
- YOLO-E3CA: An Ensemble YOLOv8 Framework with Coordinate Attention for Automated Detection of Karanda (Carissa carandas) Leaf Diseases
- Bhuiyan, Md Nyem Hasan
- Fine-Tuned MobileNetV2 for Multi-Fruit Ripeness Classification Using Deep Transfer Learning
- Bhuiyan, Nur Hossain
- An Intelligent Data-Driven Framework for Transparent Government Support Distribution in Bangladesh Using ML and XAI
- Billah, Md. Maruf
- Dynamic Region-Aware Gradient Suppression (DRAGS): Enhancing Vision Model Robustness by Suppressing Noisy Feature Regions During Training
- Billah, Md. Towsif
- SciClusterNet: Discovering Emerging Topics in LLM and AI in Education
- Biswas, Bishal
- A Customized Robust Deep Learning Approach for Efficient Medicinal Plant Recognition