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Md Atiqur Rahman Ahad

Professor of AI (Champion, Research & Innovation; REF Coordinator (former), UoA11)

University of East London

United Kingdom

Research Interests

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Professors in United Kingdom

Articles (27)

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Collaborators (4)

Fady Alnajjar

UNITED ARAB EMIRATES

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Md Ashraful Alam

Researcher

National Center for Geriatrics and Gerontology

JAPAN

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Yang Li

Senior Lecturer

University of East London

UNITED KINGDOM

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Mufti Mahmud

Professor

University of Nottingham

UNITED KINGDOM

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Md Atiqur Rahman Ahad

Research Interests

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Articles (27)

Artificial Intelligence for Elderly Fall Detection: State-of-the-art Methods, Applications and Challenges

Imputation Bias in ARIMA Air Quality Models

Integrating Care Context With Skeleton and Depth Information for Older Adult Activity Recognition in a Care Facility Using Care-Assessment-Aware Spatiotemporal Transformer: Method and Validation Study

Enhancing Student Retention in Higher Education Institutions (HEIs): Machine Learning Approach

Adaptive Thermostat Setpoint Prediction Using IoT and Machine Learning in Smart Buildings

E2ETCA: End-to-end training of CNN and attention ensembles for rice disease diagnosis

Autism Action Dataset (AAD): A Comprehensive Video Benchmark for ASD Behavior Recognition Using Deep Learning

Multi-Temporal Feature Integration: Learning Complementary Motion and Semantic Representations for Gait Recognition

Rehabilitation exercise assessment using convolutional neural network with feature prioritization using Whale optimization and Shapely values

Skin disease diagnosis using decision and feature level fusion of deep features

A deep learning model with interpretable squeeze-and-excitation for automated rehabilitation exercise assessment

Context-Aware Alerting in Elderly Care Facilities: A Hybrid Framework Integrating LLM Reasoning with Rule-Based Logic

Understanding Normal and Unusual Activities Related to Parkinson's Disease from Sensor Data: Summary of Activity and Behavior Computing Tremor Challenge

MMF-Gait: A Multi-Model Fusion-Enhanced Gait Recognition Framework Integrating Convolutional and Attention Networks

Machine Learning-Based Prediction of Depressive Disorders via Various Data Modalities: A Survey

Automated Autism Assessment With Multimodal Data and Ensemble Learning: A Scalable and Consistent Robot-Enhanced Therapy Framework

View-Embedding GCN for Skeleton-Based Cross-View Gait Recognition

Annotator-dependent uncertainty-aware estimation of gait relative attributes

Advances in human action, activity and gesture recognition

Automated Detection Approaches to Autism Spectrum Disorder Based on Human Activity Analysis: A Review

Exploiting domain transformation and deep learning for hand gesture recognition using a low-cost dataglove

Action recognition using kinematics posture feature on 3D skeleton joint locations

Emotion Recognition from EEG Signal Focusing on Deep Learning and Shallow Learning Techniques

Recognition of human locomotion on various transportations fusing smartphone sensors

Static postural transition-based technique and efficient feature extraction for sensor-based activity recognition

An AI-Based Visual Aid With Integrated Reading Assistant for the Completely Blind

A Method for Sensor-Based Activity Recognition in Missing Data Scenario

Collaborators (4)

Fady Alnajjar

Md Ashraful Alam

Yang Li

Mufti Mahmud

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