Abu Saleh Musa Miah 研究室

主宰者：Abu Saleh Musa Miah

会津大学

AI 要約（直近 5 年の研究成果）

本研究室は、深層学習やニューラルネットワークを用いた医療診断システムと行動認識システムの開発に取り組んでいます。具体的には、脳画像やセンサー信号、ビデオ映像などの多様なデータから、アルツハイマー病やパーキンソン病、脳腫瘍といった神経疾患や、皮膚がん、乳がんなどの疾患を自動で検出することを目指しています。また、手話認識、身体動作認識、転倒検知など、人間の非言語コミュニケーションや行動を自動判別するシステムも開発しており、聴覚障害者の意思疎通支援や高齢者の安全管理への応用を目指しています。これらの医療・行動認識の課題に対して、複数の異なるデータ形式（画像、音声、センサー信号など）を統合して分析するマルチモーダル深層学習や、注意機構を備えたニューラルネットワーク、そして特徴選択と重み付けアンサンブルといった手法を採用しています。さらに、構築したモデルの予測根拠を説明可能にするAI（XAI）の導入にも注力しており、医療応用に必要な透明性と信頼性の確保を重視しています。加えて、洪水予測やブロックチェーンと人工知能の融合、大規模言語モデルの比較分析など、より広い社会課題への応用研究も進めている多領域横断的な研究室です。

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

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研究成果（60 件）

[2026] A systematic survey of blockchain-enabled artificial intelligence for industrial IoT: recent advances, integration challenges, and future prospects
DOI: https://doi.org/10.1007/s10462-026-11612-8
[2026] Social media-based machine learning method for predicting symptoms in people with post-traumatic stress disorder with cancer
DOI: https://doi.org/10.1007/s44163-026-01728-9
[2026] MS-PIFNet: A multi-scale parallel interactive frequency network for enhanced EEG-based motor imagery decoding in brain–computer interfaces
DOI: https://doi.org/10.1016/j.bspc.2026.110925
[2026] Effect of activation function and model optimizer on the performance of human activity recognition system using various deep learning models
DOI: https://doi.org/10.1007/s10791-026-10277-9
[2026] Collaborative advancement of Cloud-Edge-Fog computing in smart healthcare: concepts, recent advances, applications and future opportunities
DOI: https://doi.org/10.1007/s10586-026-06006-y
[2026] Bengali Sign Language Recognition Through Hand Pose Estimation Using Multi-branch Spatial-Temporal Attention Model
DOI: https://doi.org/10.1007/s42979-026-04990-x
[2026] Skin Cancer Disease Detection Using Two-Stream Hybrid Attention-Based Deep Learning Model
DOI: https://doi.org/10.3390/electronics15081761
[2026] Stack Transformer-Based Spatial-Temporal Attention Model for Dynamic Sign Language and Fingerspelling Recognition
DOI: https://doi.org/10.1109/ojcs.2026.3682330
[2025] A hybrid LSTM CNN model with efficient channel attention for enhanced human activity recognition using wearable sensors
DOI: https://doi.org/10.1007/s42452-025-07896-0
[2025] Deep Learning-Based Eye-Writing Recognition with Improved Preprocessing and Data Augmentation Techniques
DOI: https://doi.org/10.3390/s25206325

続きを表示（残り 50 件）

[2025] Comparative analysis based on DeepSeek, ChatGPT, and Google Gemini: Features, techniques, performance, future prospects
DOI: https://doi.org/10.1016/j.sasc.2025.200396
[2025] DiaBD: A novel benchmark dataset for diabetes prediction
DOI: https://doi.org/10.1016/j.aej.2025.08.017
[2025] Bangla Speech Emotion Recognition Using Deep Learning-Based Ensemble Learning and Feature Fusion
DOI: https://doi.org/10.3390/jimaging11080273
[2025] Parkinson disease detection based on in-air dynamics feature extraction and selection using machine learning
DOI: https://doi.org/10.1038/s41598-025-12115-2
[2025] A Comprehensive Methodological Survey of Human Activity Recognition Across Diverse Data Modalities
DOI: https://doi.org/10.3390/s25134028
[2025] Autism Spectrum Disorder Detection Using Skeleton-Based Body Movement Analysis via Dual-Stream Deep Learning
DOI: https://doi.org/10.3390/electronics14112231
[2025] From <scp>AI</scp> to the Era of Explainable <scp>AI</scp> in Healthcare 5.0: Current State and Future Outlook
DOI: https://doi.org/10.1111/exsy.70060
[2025] Multimodal Fall Detection Using Spatial–Temporal Attention and Bi-LSTM-Based Feature Fusion
DOI: https://doi.org/10.3390/fi17040173
[2025] Combining state-of-the-art pre-trained deep learning models: A novel approach for Bangla Sign Language recognition using Max Voting Ensemble
DOI: https://doi.org/10.1016/j.sasc.2025.200230
[2025] Stacked CNN-based multichannel attention networks for Alzheimer disease detection
DOI: https://doi.org/10.1038/s41598-025-85703-x
[2025] Advanced Hydro-Informatic Modeling Through Feedforward Neural Network, Federated Learning, and Explainable AI for Enhancing Flood Prediction
DOI: https://doi.org/10.1109/ojcs.2025.3556424
[2025] A Methodological and Structural Review of Parkinson’s Disease Detection Across Diverse Data Modalities
DOI: https://doi.org/10.1109/access.2025.3575023
[2025] Detection of AI-Generated Texts: A Bi-LSTM and Attention-Based Approach
DOI: https://doi.org/10.1109/access.2025.3562750
[2025] Gradual Variation-Based Dual-Stream Deep Learning for Spatial Feature Enhancement With Dimensionality Reduction in Early Alzheimer’s Disease Detection
DOI: https://doi.org/10.1109/access.2025.3542458
[2025] Multimodal Attention-Enhanced Feature Fusion-Based Weakly Supervised Anomaly Violence Detection
DOI: https://doi.org/10.1109/ojcs.2024.3517154
[2025] Machine Learning-Based Differential Diagnosis of Parkinson’s Disease Using Kinematic Feature Extraction and Selection
DOI: https://doi.org/10.1109/access.2025.3553528
[2025] Neurological Disorder Recognition via Comprehensive Feature Fusion by Integrating Deep Learning and Texture Analysis
DOI: https://doi.org/10.1109/ojcs.2025.3594701
[2025] Optimized Breast Cancer Classification via SHAP-Based Feature Selection and Weighted Voting Ensemble Learning
DOI: https://doi.org/10.1109/ojcs.2025.3610146
[2025] Electromyography-Based Gesture Recognition With Explainable AI (XAI): Hierarchical Feature Extraction for Enhanced Spatial-Temporal Dynamics
DOI: https://doi.org/10.1109/access.2025.3569899
[2024] Two-Stream Modality-Based Deep Learning Approach for Enhanced Two-Person Human Interaction Recognition in Videos
DOI: https://doi.org/10.3390/s24217077
[2024] Hand gesture recognition using sEMG signals with a multi-stream time-varying feature enhancement approach
DOI: https://doi.org/10.1038/s41598-024-72996-7
[2024] Exploring Feature Selection and Classification Techniques to Improve the Performance of an Electroencephalography-Based Motor Imagery Brain–Computer Interface System
DOI: https://doi.org/10.3390/s24154989
[2024] Residual-Based Multi-Stage Deep Learning Framework for Computer-Aided Alzheimer’s Disease Detection
DOI: https://doi.org/10.3390/jimaging10060141
[2024] Effective features extraction and selection for hand gesture recognition using sEMG signal
DOI: https://doi.org/10.1007/s11042-024-19468-2
[2024] Spatial–temporal attention with graph and general neural network-based sign language recognition
DOI: https://doi.org/10.1007/s10044-024-01229-4
[2024] Dynamic Japanese Sign Language Recognition Throw Hand Pose Estimation Using Effective Feature Extraction and Classification Approach
DOI: https://doi.org/10.3390/s24030826
[2024] A Deep Bidirectional LSTM Model Enhanced by Transfer-Learning-Based Feature Extraction for Dynamic Human Activity Recognition
DOI: https://doi.org/10.3390/app14020603
[2024] Sign Language Recognition Using Graph and General Deep Neural Network Based on Large Scale Dataset
DOI: https://doi.org/10.1109/access.2024.3372425
[2024] Hand Gesture Recognition for Multi-Culture Sign Language Using Graph and General Deep Learning Network
DOI: https://doi.org/10.1109/ojcs.2024.3370971
[2024] A Methodological and Structural Review of Hand Gesture Recognition Across Diverse Data Modalities
DOI: https://doi.org/10.1109/access.2024.3456436
[2024] Korean Sign Language Alphabet Recognition Through the Integration of Handcrafted and Deep Learning-Based Two-Stream Feature Extraction Approach
DOI: https://doi.org/10.1109/access.2024.3399839
[2024] Sensor-Based Human Activity Recognition Based on Multi-Stream Time-Varying Features With ECA-Net Dimensionality Reduction
DOI: https://doi.org/10.1109/access.2024.3473828
[2024] Eye Disease Detection Enhancement Using a Multi-Stage Deep Learning Approach
DOI: https://doi.org/10.1109/access.2024.3476412
[2024] Anomaly Detection in Weakly Supervised Videos Using Multistage Graphs and General Deep Learning Based Spatial-Temporal Feature Enhancement
DOI: https://doi.org/10.1109/access.2024.3395329
[2024] Virtual Keyboard: A Real-Time Hand Gesture Recognition-Based Character Input System Using LSTM and Mediapipe Holistic
DOI: https://doi.org/10.32604/csse.2023.045981
[2024] Trie-PMS8: A trie-tree based robust solution for planted motif search problem
DOI: https://doi.org/10.1016/j.ijcce.2024.07.004
[2024] An Enhanced Hybrid Model Based on CNN and BiLSTM for Identifying Individuals via Handwriting Analysis
DOI: https://doi.org/10.32604/cmes.2024.048714
[2024] A Multilingual Handwriting Learning System for Visually Impaired People
DOI: https://doi.org/10.1109/access.2024.3353781
[2024] Japanese Sign Language Recognition by Combining Joint Skeleton-Based Handcrafted and Pixel-Based Deep Learning Features with Machine Learning Classification
DOI: https://doi.org/10.32604/cmes.2023.046334
[2023] Exploring Bangladesh's Soil Moisture Dynamics via Multispectral Remote Sensing Satellite Image
DOI: https://doi.org/10.24018/ejgeo.2023.4.5.415
[2023] Dynamic Fall Detection Using Graph-Based Spatial Temporal Convolution and Attention Network
DOI: https://doi.org/10.3390/electronics12153234
[2023] Multi-Stream General and Graph-Based Deep Neural Networks for Skeleton-Based Sign Language Recognition
DOI: https://doi.org/10.3390/electronics12132841
[2023] Stochastic Neighbor Embedding Feature-Based Hyperspectral Image Classification Using 3D Convolutional Neural Network
DOI: https://doi.org/10.3390/electronics12092082
[2023] Investigating Feature Selection Techniques to Enhance the Performance of EEG-Based Motor Imagery Tasks Classification
DOI: https://doi.org/10.3390/math11081921
[2023] Korean Sign Language Recognition Using Transformer-Based Deep Neural Network
DOI: https://doi.org/10.3390/app13053029
[2023] Multistage Spatial Attention-Based Neural Network for Hand Gesture Recognition
DOI: https://doi.org/10.3390/computers12010013
[2023] Dynamic Hand Gesture Recognition Using Multi-Branch Attention Based Graph and General Deep Learning Model
DOI: https://doi.org/10.1109/access.2023.3235368
[2023] Dynamic Korean Sign Language Recognition Using Pose Estimation Based and Attention-Based Neural Network
DOI: https://doi.org/10.1109/access.2023.3343404
[2022] Rotation, Translation and Scale Invariant Sign Word Recognition Using Deep Learning
DOI: https://doi.org/10.32604/csse.2023.029336
[2022] BenSignNet: Bengali Sign Language Alphabet Recognition Using Concatenated Segmentation and Convolutional Neural Network
DOI: https://doi.org/10.3390/app12083933

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AI 要約（直近 5 年の研究成果）

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関連研究室(8 件)

研究成果（60 件）

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所属学会・役職（0 件）