Mufti Mahmud

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Associate Professor

University of Nottingham

United Kingdom

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Recent Grants

Grant: Close

DIVERSASIA: Embracing diversity in ASIA through the adoption of Inclusive Open Practices

Open Date: 2021-01-01

Close Date: 2024-01-01

Grant: Close

AI-TOP: An AI Tool to Predict Engagement and ‘Meltdown’ Events in Students with Autism

Open Date: 2020-09-01

Close Date: 2023-08-01

Grant: Close

Real neurons-nanoelectronics Architecture with Memristive Plasticity

Open Date: 2013-11-01

Close Date: 2017-04-30

Grant: Close

NEUROACT: A collaborative training program to develop multi-electrode array (MEA) platforms to understand synaptic function and treat diseases of the nervous system

Open Date: 2012-10-01

Close Date: 2016-09-30

Grant: Close

A collaborative training program to develop multi-electrode array (MEA) platforms to understand synaptic function and treat diseases of the nervous system (NEUROACT).

Open Date: 2012-10-01

Close Date: 2016-09-30

Articles (19)

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Collaborators (7)

Biplab Sikdar

National University of Singapore (NUS)

SINGAPORE

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University of Derby

UNITED KINGDOM

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Mufti Mahmud

Research Interests

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Contact this professor

Recent Grants

Articles (19)

High attenuation electromagnetic interface filter for effective processing of audio signals

COVID-19 Infection Detection from Chest X-Ray Images Using Hybrid Social Group Optimization and Support Vector Classifier

Performance Evaluation of Deep, Shallow and Ensemble Machine Learning Methods for the Automated Classification of Alzheimer’s Disease

A novel approach on laplacian energy of σJ-dominating complex spherical fuzzy graph structures and with application

Smart prison technology and challenges: a systematic literature reviews

Classification of Diabetic Retinopathy Disease Levels by Extracting Spectral Features Using Wavelet CNN

Accurate Prediction of Lysine Methylation Sites Using Evolutionary and Structural-Based Information

A Topical Review on Enabling Technologies for the Internet of Medical Things: Sensors, Devices, Platforms, and Applications

Design of a 16–bit 500 MS s–1 SAR-ADC at 45 nm for low power and high frequency applications

LiNEV: Visible Light Networking for Connected Vehicles

Cybersecurity Risk Analysis of Electric Vehicles Charging Stations

Artificial Intelligence for Cognitive Health Assessment: State-of-the-Art, Open Challenges and Future Directions

Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence

A Fuzzy Ensemble-Based Deep learning Model for EEG-Based Emotion Recognition

Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays

Forecasting major impacts of COVID-19 pandemic on country-driven sectors: challenges, lessons, and future roadmap

Explainable Mortality Prediction Model for Congestive Heart Failure with Nature-Based Feature Selection Method

YOLOv5s-CA: A Modified YOLOv5s Network with Coordinate Attention for Underwater Target Detection

An attention-based hybrid architecture with explainability for depressive social media text detection in Bangla

Collaborators (7)

Biplab Sikdar

Farah Mahdi Alsallami

Yue Cao

Rupak Kharel

omprakash kaiwartya

david brown

Muhammad Rizwan

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