Proceedings of the International Conference on Intelligent Data Analysis and Applications (IDAA 2025)

492 authors
Rezaul, Md
Explainable AI Based Fully Fine-Tuned Data-efficient Image Transformer (DeiT-B) Model for Multi Class Chest X-Ray Image Classification
Rid, Emon Safayet
SciClusterNet: Discovering Emerging Topics in LLM and AI in Education
Ridu, Ridowan Arifin
A Next-Generation Zero-Trust Security Framework for Cloud-Native Microservices Powered by AI
Rifat, Abu Hurairah
A Comparative Study of Sequential Models and Transformer-Based LLMs for Bangla Suspicious Political Comment Classification
Rifat, Tahzib Mahmud
Amigo-Agri: A Human-Following Robotic Platform with Speech Recognition and Retrieval-Augmented Generation for Smart Farming
Ripa, Sadia Parvin
A Comparative Study on the Effectiveness of Data Augmentation Techniques for Cervical Cancer Detection
Rizan, Rakib
An Optimized Deep Learning Approach for Automatic License Plate Detection and Recognition
Rony, Md.
Analysis of Human and AI-generated Text Classification
Rony, Md.
Design and Development of an Autonomous Fire-Fighting Robot Using GSM Communication
Roy, Anuj
BiLSTM-Based Smishing Detection for Bangla SMS
Roy, Nitta Nando
A Comparative Study of LSTM and Bi-LSTM Architectures with Attention for Bangla News Classification
Roy, Partha Jyoti
Comparative Analysis of Transfer Learning Models for Multi-Class Skin Disease Classification on HAM10000
Roy, Ridam
Enhancing Precision Agriculture with a Hybrid Deep Learning Framework for Multi-Class Plant Disease Classification and Interpretability
Roy, Robi
DIY-IoT Based Non Invasive Blood Glucose Monitoring System
Sadik, Sadikur Rahman
Amigo-Agri: A Human-Following Robotic Platform with Speech Recognition and Retrieval-Augmented Generation for Smart Farming
Sadrin, Rubaiya Islam
Enhanced Rice Disease Recognition Using Transfer Learning
Sajid, Md Shahriar
PaperNet: Efficient Temporal Convolutions and Channel Residual Attention for EEG Epilepsy Detection
Sajon, All-Marufi Rahaman
A Comparative Study on the Effectiveness of Data Augmentation Techniques for Cervical Cancer Detection
Sakib, Md Najmus
Adaptive Explanation-Aware Stacking for Cervical Cancer Risk Prediction
Saleh, Rifat Bin
Enhancing Road Safety through Hybrid CNN Models: Ensemble Framework for German Traffic Sign Recognition Benchmark (GTSRB)
Sami, Tauhidul As
Dynamic Region-Aware Gradient Suppression (DRAGS): Enhancing Vision Model Robustness by Suppressing Noisy Feature Regions During Training
Samiha, Kazi
Risk Level Prediction of Antenatal Period Using Machine Learning Approaches
Sanyal, Anamika
Prediction of Endometrial Carcinoma Recurrence Using a Stacking Ensemble with Meta-Learner
Sarker, Dip
An Ensemble Machine Learning Framework for Malicious PDF Detection Using Static and Structural Features
Sattar, Abdus
Intelli-Helmet: An IoT, Edge-AI, and TinyML-Based Real-Time Soldier Health and Threat Monitoring System with Novel Panic Tactile Switch Mechanism
Sattar, Md.Abdus
Recognition of Bangla Sign Language for Letters and Words using Hand Gestures and Predictive Analytics
Setu, Shayla Alam
Enhancing Precision Agriculture with a Hybrid Deep Learning Framework for Multi-Class Plant Disease Classification and Interpretability
Shafin, Tanjid Ahammed
Self-Distilled Vision Transformer (SD-ViT) to Classify Brain Tumors using MRI images
Shaha, Sonjoy Prosad
Design and Development of an Autonomous Fire-Fighting Robot Using GSM Communication
Shahariar, Abir Mahmud
Handwritten Cyclic Compound Classification with EfficientNetB0 and Explainable AI Methods
Shahariar, Abir Mahmud
DIY-IoT Based Non Invasive Blood Glucose Monitoring System
Shaharum, Syamimi Mardiah
Bridging AI and Ethnobotany: A Deep Learning Approach for Medicinal Plant Identification and Real-World Deployment
Shahos, Jubair Khan
Analysis of Human and AI-generated Text Classification
Shakib, Tasnim Ullah
Intelli-Helmet: An IoT, Edge-AI, and TinyML-Based Real-Time Soldier Health and Threat Monitoring System with Novel Panic Tactile Switch Mechanism
Shanto, Eamin Hasan
Advanced Hybrid CNN-ViT Ensemble with Attention and FPN Mechanism for Retinal OCT Disease Classification
Shanto, Md. Hasibul Hasan
Improving Early Alzheimer’s Disease Diagnosis Using Machine Learning on Clinical and Demographic Data
Sharif, Ridwan
Limitations of Low-Cost PPG Sensors for Cuffless Blood Pressure Estimation Using IoT and Machine Learning
Sheam, Md. Nazmus Sakib
BdSL-Net: A Hybrid CNN-LSTM-Attention Framework for Real Time Bangla Sign Language Recognition
Shefat, Imrul Kayes
Performance Analysis Based on Deep Learning Architecture to Track Out Cholangiocarcinoma
Shibly, Mohammad Sohaib Islam
Bengali Social Media Comments Classification and Toxicity Detection Using Advanced Machine Learning Algorithms
Shifa, MST Israt Jahan
Predicting the Impact of Part-Time Employment on Academic Performance among University Students in Bangladesh Using Machine Learning Models
Shohan, Md. Shohanur Rahman
Amigo-Agri: A Human-Following Robotic Platform with Speech Recognition and Retrieval-Augmented Generation for Smart Farming
Shohan, Nazmus Sakib
Explainable Self-Attentive Transformer Model for Bangla Mental Health Disorder Detection
Showrin, Jarin Tasnim
A Lightweight MobileViT-Based Framework for Carambola Leaf and Fruit Disease Detection
Shrestha, Tahmid Enam
Exploring Deep 3D U-Net Architectures for Automated Brain Tumor Segmentation: A Study on the BraTS Benchmark Dataset
Shrestha, Tahmid Enam
Bridging AI and Ethnobotany: A Deep Learning Approach for Medicinal Plant Identification and Real-World Deployment
Shuvo, Hossain Mohammad
Enhancing Road Safety through Hybrid CNN Models: Ensemble Framework for German Traffic Sign Recognition Benchmark (GTSRB)
Siam, Jafir Islam
Predicting User Trust in Customer-Service Chatbots: A Supervised Learning Study
Siam, Jafir Islam
An Advanced Multi-Input LSTM Framework with Attention for Predicting the Risk Level of Cardiovascular Disease
Siddique, K. M. Nure Tanvir
Prediction of Endometrial Carcinoma Recurrence Using a Stacking Ensemble with Meta-Learner
Siddique, Mohammad Ali
Accurate Battery Lifetime Estimation for Electric Vehicle Using Machine Learning Models
Siddique, Nazmul
Peer-Review Statements
Siddiquee, Shah Md Tanvir
A Customized Robust Deep Learning Approach for Efficient Medicinal Plant Recognition
Sikto, Sawhardo Biswas
A Novel Hematological Machine Learning Framework for Predictive Modeling of Dengue Diagnosis Using CBC Parameters in Bangladesh
Singha, Anupam
Shadhu-Cholito Detection Across Scripts: A Comprehensive Approach to Banglish and Bengali Register Classification
Sinthia, Kulsom Akter
A PCA-Enhanced Ensemble Framework for Maternal Health Risk Prediction with SMOTE-ENN Balancing
Sohag, Md.
Bridging AI and Ethnobotany: A Deep Learning Approach for Medicinal Plant Identification and Real-World Deployment
Sohag, Md. Sabbir Hasan
Accurate Battery Lifetime Estimation for Electric Vehicle Using Machine Learning Models
Sohel, Amir
Comparative Analysis of Deep CNN, Transfer Learning, and Proposed Ensemble Architecture for Monkeypox Detection
Solaiman, Md
Text-Image Correlation in Generative-AI: An In Silico Study of Their Adaptivity
Sufi, Hasibul Islam
Enhancing Precision Agriculture with a Hybrid Deep Learning Framework for Multi-Class Plant Disease Classification and Interpretability
Suha, Samia Hasan
Securing Authentication and Fraud Detection in Financial Systems Using Machine Learning
Sultana, Shirin
TakaGuard: Mitigating Fraud Risks in Bangladesh’s Mobile Financial Services through BERT-based Sentence Classification
Supto, Neloy Pramanik
Addressing Behavioral Patterns of Late Sleepers Using a Supervised Learning Approach
Sutradhar, Arjun
An Optimized Deep Learning Approach for Automatic License Plate Detection and Recognition
Sweety, Shamima Afrin
A Comparative Study on the Effectiveness of Data Augmentation Techniques for Cervical Cancer Detection
Tamal, Jahangir Alam
Self-Distilled Vision Transformer (SD-ViT) to Classify Brain Tumors using MRI images
Tamim, Azim Ullah
CancerGuard: A Deep Learning Approach to Lung Cancer Detection
Tanvir, Md Tasnin
A Machine Learning Approach to Predicting Depression in University Students in Bangladesh: Enhancing Mental Health Assessment
Tariq, Tahsan Mahmood
A Machine Learning Approach to Predicting Depression in University Students in Bangladesh: Enhancing Mental Health Assessment
Tariq, Tahsan Mahmood
Real-Time Motorbike Helmet Detection System Using Hybrid Deep Learning Model
Tisha, Afifa Hoque
Binary-Class AI-Generated Content Detection Through Comprehensive Feature Engineering
Tohfa, Fairuz Nowshin
Secure Deepfake Audio Detection with a Soft-Voting Ensemble of PGD-Hardened Heterogeneous Models
Tohfa, Nasrin Akter
Securing Authentication and Fraud Detection in Financial Systems Using Machine Learning
Toma, Mst Rokshanara
CXR-Next: An Explainable Multi-Class Deep Learning Framework for Thoracic Disease Classification from Chest X-Rays
Tonny, Farjana Akter
Comparative Analysis of Deep CNN, Transfer Learning, and Proposed Ensemble Architecture for Monkeypox Detection
Tonvi, Jarin Tasnim
BdSL-Net: A Hybrid CNN-LSTM-Attention Framework for Real Time Bangla Sign Language Recognition
Tuly, Tanjina Ahmed
Self-Distilled Vision Transformer (SD-ViT) to Classify Brain Tumors using MRI images
Turzo, Shovan Samanta
Early Detection of Mental Health Disorders Among Private University Students in Bangladesh Using Machine Learning-Based Behavioral Data Analysis
Turzo, Shovan Samanta
Enhancing Road Safety through Hybrid CNN Models: Ensemble Framework for German Traffic Sign Recognition Benchmark (GTSRB)
Tusa, Afsana Akter
CatForest: Deep Contextual Sentiment Modeling for Mental Health Detection from Social Media
Uddaula, Ashaf
An Ensemble Machine Learning Framework for Malicious PDF Detection Using Static and Structural Features
Uddin, Jia
AIoT for Road Safety: Unified Vehicle Speed and License Plate Recognition in Bangladesh
Uddin, Md.Salah
AIoT-Enabled Real-Time Water Quality and Fish Health Monitoring System for Smart Aquaculture
Wahid, Abdur Rahman
Secure Deepfake Audio Detection with a Soft-Voting Ensemble of PGD-Hardened Heterogeneous Models
Waseek, Irtefa
RAG-Driven Scholarly Assistant: Automating Research Paper Analysis with Open-Source LLM Benchmarking
Yasin, Md. Rehab Ansary
SciClusterNet: Discovering Emerging Topics in LLM and AI in Education
Zaman, Khondoker Sabit Uz
Enhancing Bangla Document Classification Using a Hybrid Ensemble of Bangla-BERT and Bi-LSTM Models
Zanvi, Samia Halim
Memotion Analysis: Multimodal Fusion Techniques for Humor Classification in Memes
Zareen, Sufia
Securing Authentication and Fraud Detection in Financial Systems Using Machine Learning
Zobair, Md Jakaria
CatForest: Deep Contextual Sentiment Modeling for Mental Health Detection from Social Media
Zubaer, Talha
Comparative Analysis of Deep CNN, Transfer Learning, and Proposed Ensemble Architecture for Monkeypox Detection