Mufti Mahmud
Orcid: 0000-0002-2037-8348Affiliations:
- University of Padova, Italy
According to our database1,
Mufti Mahmud
authored at least 179 papers
between 2011 and 2024.
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Bibliography
2024
Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer's disease detection.
Brain Informatics, December, 2024
<i>i</i>BUST: An intelligent behavioural trust model for securing industrial cyber-physical systems.
Expert Syst. Appl., March, 2024
State-of-the-Art of Stress Prediction from Heart Rate Variability Using Artificial Intelligence.
Cogn. Comput., March, 2024
Explainable Artificial Intelligence in Alzheimer's Disease Classification: A Systematic Review.
Cogn. Comput., January, 2024
Cogn. Comput., January, 2024
2023
REER-H: A Reliable Energy Efficient Routing Protocol for Maritime Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst., December, 2023
Editorial Topical Collection: "Explainable and Augmented Machine Learning for Biosignals and Biomedical Images".
Sensors, December, 2023
Enhancing biofeedback-driven self-guided virtual reality exposure therapy through arousal detection from multimodal data using machine learning.
Brain Informatics, December, 2023
Four-way classification of Alzheimer's disease using deep Siamese convolutional neural network with triplet-loss function.
Brain Informatics, December, 2023
Artificial Intelligence for Cognitive Health Assessment: State-of-the-Art, Open Challenges and Future Directions.
Cogn. Comput., November, 2023
Sensors, August, 2023
Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays.
Neural Comput. Appl., August, 2023
Brain Functional Network Topology in Autism Spectrum Disorder: A Novel Weighted Hierarchical Complexity Metric for Electroencephalogram.
IEEE J. Biomed. Health Informatics, April, 2023
YOLOv5s-CA: A Modified YOLOv5s Network with Coordinate Attention for Underwater Target Detection.
Sensors, April, 2023
Heart Rate Variability-Based Mental Stress Detection: An Explainable Machine Learning Approach.
SN Comput. Sci., March, 2023
Editorial: The new frontier in brain network physiology: from temporal dynamics to the principles of integration in physiological brain networks.
Frontiers Comput. Neurosci., February, 2023
TAKEN: A Traffic Knowledge-Based Navigation System for Connected and Autonomous Vehicles.
Sensors, January, 2023
Forecasting major impacts of COVID-19 pandemic on country-driven sectors: challenges, lessons, and future roadmap.
Pers. Ubiquitous Comput., 2023
An attention-based hybrid architecture with explainability for depressive social media text detection in Bangla.
Expert Syst. Appl., 2023
From Assistive Technologies to Metaverse: Technologies in Inclusive Higher Education for Students with Specific Learning Difficulties.
CoRR, 2023
From Assistive Technologies to Metaverse - Technologies in Inclusive Higher Education for Students With Specific Learning Difficulties: A Review.
IEEE Access, 2023
Detecting COVID-19 From Lung Computed Tomography Images: A Swarm Optimized Artificial Neural Network Approach.
IEEE Access, 2023
Comprehensive Analysis of Nature-Inspired Algorithms for Parkinson's Disease Diagnosis.
IEEE Access, 2023
A Hybrid Deep Learning Model to Predict the Impact of COVID-19 on Mental Health From Social Media Big Data.
IEEE Access, 2023
UDTN-RS: A New Underwater Delay Tolerant Network Routing Protocol for Coastal Patrol and Surveillance.
IEEE Access, 2023
Multi-Planar MRI-Based Classification of Alzheimer's Disease Using Tree-Based Machine Learning Algorithms.
Proceedings of the IEEE International Conference on Web Intelligence and Intelligent Agent Technology, 2023
A Comparative Study of Pretrained Deep Neural Networks for Classifying Alzheimer's and Parkinson's Disease.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Towards Automated Classification of Parkinson's Disease: Comparison of Machine Learning Methods using MRI and Acoustic Data.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023
Proceedings of the 24th International Conference on Distributed Computing and Networking, 2023
The Use of Explainable Sensor Systems in Classroom Settings - Teacher, Student and Parent Voices on the Value of Sensor Systems.
Proceedings of the Universal Access in Human-Computer Interaction, 2023
Towards Smart Education in the Industry 5.0 Era: A Mini Review on the Application of Federated Learning.
Proceedings of the IEEE Intl Conf on Dependable, 2023
Proceedings of the 16th Annual ACM India Compute Conference, 2023
Bagging the Best: A Hybrid SVM-KNN Ensemble for Accurate and Early Detection of Alzheimer's and Parkinson's Diseases.
Proceedings of the Brain Informatics - 16th International Conference, 2023
Comparison Between Explainable AI Algorithms for Alzheimer's Disease Prediction Using EfficientNet Models.
Proceedings of the Brain Informatics - 16th International Conference, 2023
Decision Tree Approaches to Select High Risk Patients for Lung Cancer Screening Based on the UK Primary Care Data.
Proceedings of the Artificial Intelligence in Medicine, 2023
2022
Sensors, 2022
BEST - Blockchain-Enabled Secure and Trusted Public Emergency Services for Smart Cities Environment.
Sensors, 2022
Sensors, 2022
iReTADS: An Intelligent Real-Time Anomaly Detection System for Cloud Communications Using Temporal Data Summarization and Neural Network.
Secur. Commun. Networks, 2022
Neuromorph. Comput. Eng., 2022
ABOT: an open-source online benchmarking tool for machine learning-based artefact detection and removal methods from neuronal signals.
Brain Informatics, 2022
Channel-independent recreation of artefactual signals in chronically recorded local field potentials using machine learning.
Brain Informatics, 2022
MIC_FuzzyNET: Fuzzy Integral Based Ensemble for Automatic Classification of Musical Instruments From Audio Signals.
IEEE Access, 2022
A Gradient Guided Architecture Coupled With Filter Fused Representations for Micro-Crack Detection in Photovoltaic Cell Surfaces.
IEEE Access, 2022
Pattern Descriptors Orientation and MAP Firefly Algorithm Based Brain Pathology Classification Using Hybridized Machine Learning Algorithm.
IEEE Access, 2022
An Investigative Study on the Effects of Pedagogical Agents on Intrinsic, Extraneous and Germane Cognitive Load: Experimental Findings With Dyscalculia and Non-Dyscalculia Learners.
IEEE Access, 2022
A Reviewer Recommender System for Scientific Articles Using a New Similarity Threshold Discovery Technique.
TCCE, 2022
iTB-test: An Intelligent Image-enabled Diagnostic System for In Vitro Screening of Infectious Diseases.
Proceedings of the 14th International Conference on Software, 2022
Proceedings of the Machine Intelligence and Emerging Technologies, 2022
Computing Hierarchical Complexity of the Brain from Electroencephalogram Signals: A Graph Convolutional Network-based Approach.
Proceedings of the International Joint Conference on Neural Networks, 2022
Artefact Detection in Chronically Recorded Local Field Potentials: An Explainable Machine Learning-based Approach.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
A Medical Image Steganography Scheme with High Embedding Capacity to Solve Falling-Off Boundary Problem Using Pixel Value Difference Method.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Towards the Development of a Machine Learning-Based Action Recognition Model to Support Positive Behavioural Outcomes in Students with Autism.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Improving Accessibility and Personalisation for HE Students with Disabilities in Two Countries in the Indian Subcontinent - Initial Findings.
Proceedings of the Universal Access in Human-Computer Interaction. User and Context Diversity, 2022
Explainable Multimodal Machine Learning for Engagement Analysis by Continuous Performance Test.
Proceedings of the Universal Access in Human-Computer Interaction. User and Context Diversity, 2022
Towards Explainable and Privacy-Preserving Artificial Intelligence for Personalisation in Autism Spectrum Disorder.
Proceedings of the Universal Access in Human-Computer Interaction. User and Context Diversity, 2022
Leveraging Virtual Reality and Machine Learning as Mediated Learning Tools for Social Skill Development in Learners with Autism Spectrum Condition.
Proceedings of the Universal Access in Human-Computer Interaction. User and Context Diversity, 2022
Influences of Social Learning in Individual Perception and Decision Making in People with Autism: A Computational Approach.
Proceedings of the Brain Informatics - 15th International Conference, 2022
Triplet-Loss Based Siamese Convolutional Neural Network for 4-Way Classification of Alzheimer's Disease.
Proceedings of the Brain Informatics - 15th International Conference, 2022
A Machine Learning Approach for Early Detection of Postpartum Depression in Bangladesh.
Proceedings of the Brain Informatics - 15th International Conference, 2022
Towards Machine Learning Driven Self-guided Virtual Reality Exposure Therapy Based on Arousal State Detection from Multimodal Data.
Proceedings of the Brain Informatics - 15th International Conference, 2022
Detection of Healthy and Unhealthy Brain States from Local Field Potentials Using Machine Learning.
Proceedings of the Brain Informatics - 15th International Conference, 2022
Identification of Crown and Rump in First-Trimester Ultrasound Images Using Deep Convolutional Neural Network.
AII, 2022
Indoor Positioning and Navigation Using Bluetooth Low Energy and Cloud Service in Healthcare Perspective.
AII, 2022
AII, 2022
A Privacy-Preserving Federated-MobileNet for Facial Expression Detection from Images.
AII, 2022
A Nonparametric Model for Forecasting Life Expectancy at Birth Using Gaussian Process.
AII, 2022
AII, 2022
iConDet2: An Improved Conjunctivitis Detection Portable Healthcare App Powered by Artificial Intelligence.
AII, 2022
2021
SN Comput. Sci., 2021
Real-Time Artifacts Reduction during TMS-EEG Co-Registration: A Comprehensive Review on Technologies and Procedures.
Sensors, 2021
Pattern Recognit. Lett., 2021
TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets.
Knowl. Based Syst., 2021
Detection and Classification of Leukocytes in Blood Smear Images: State of the Art and Challenges.
Int. J. Ambient Comput. Intell., 2021
Towards Bridging the Gap Between Computational Intelligence and Neuroscience in Brain-Computer Interfaces With a Common Description of Systems and Data.
Frontiers Neuroinformatics, 2021
One-shot Cluster-Based Approach for the Detection of COVID-19 from Chest X-ray Images.
Cogn. Comput., 2021
SANTIA: a Matlab-based open-source toolbox for artifact detection and removal from extracellular neuronal signals.
Brain Informatics, 2021
Security Threats and Artificial Intelligence Based Countermeasures for Internet of Things Networks: A Comprehensive Survey.
IEEE Access, 2021
Towards an Accelerometer-Based Elderly Fall Detection System Using Cross-Disciplinary Time Series Features.
IEEE Access, 2021
iWorksafe: Towards Healthy Workplaces During COVID-19 With an Intelligent Phealth App for Industrial Settings.
IEEE Access, 2021
Attention-Based Bi-Directional Long-Short Term Memory Network for Earthquake Prediction.
IEEE Access, 2021
Interpretable Model for Artefact Detection in Local Field Potentials via Feature Extraction and Decision Trees.
Proceedings of the Advances in Computational Intelligence Systems, 2021
Assessing Significance of Cognitive Assessments for Diagnosing Alzheimer's Disease with Fuzzy-Rough Feature Selection.
Proceedings of the Advances in Computational Intelligence Systems, 2021
TCCE, 2021
TCCE, 2021
TCCE, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Signal Power Affects Artefact Detection Accuracy in Chronically Recorded Local Field Potentials: Preliminary Results.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
On-Chip Machine Learning for Portable Systems: Application to Electroencephalography-based Brain-Computer Interfaces.
Proceedings of the International Joint Conference on Neural Networks, 2021
An Artificial Intelligence Based Approach Towards Inclusive Healthcare Provisioning in Society 5.0: A Perspective on Brain Disorder.
Proceedings of the Brain Informatics - 14th International Conference, 2021
Proceedings of the Brain Informatics - 14th International Conference, 2021
Proceedings of the Brain Informatics - 14th International Conference, 2021
A Matlab-Based Open-Source Toolbox for Artefact Removal from Extracellular Neuronal Signals.
Proceedings of the Brain Informatics - 14th International Conference, 2021
Proceedings of the Brain Informatics - 14th International Conference, 2021
Proceedings of the Brain Informatics - 14th International Conference, 2021
Towards Autism Subtype Detection Through Identification of Discriminatory Factors Using Machine Learning.
Proceedings of the Brain Informatics - 14th International Conference, 2021
Classification of First Trimester Ultrasound Images Using Deep Convolutional Neural Network.
AII, 2021
Sluggish State-Based Neural Networks Provide State-of-the-art Forecasts of Covid-19 Cases.
AII, 2021
AII, 2021
Anomaly Detection in Invasively Recorded Neuronal Signals Using Deep Neural Network: Effect of Sampling Frequency.
AII, 2021
Selecting Lung Cancer Patients from UK Primary Care Data: A Longitudinal Study of Feature Trends.
AII, 2021
2020
Social Group Optimization-Assisted Kapur's Entropy and Morphological Segmentation for Automated Detection of COVID-19 Infection from Computed Tomography Images.
Cogn. Comput., 2020
Gamma entrainment frequency affects mood, memory and cognition: an exploratory pilot study.
Brain Informatics, 2020
Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer's disease, Parkinson's disease and schizophrenia.
Brain Informatics, 2020
Brain Informatics, 2020
A Highly-Efficient Fuzzy-Based Controller With High Reduction Inputs and Membership Functions for a Grid-Connected Photovoltaic System.
IEEE Access, 2020
Application of Artificial Intelligence in Predicting Earthquakes: State-of-the-Art and Future Challenges.
IEEE Access, 2020
Towards Artificial Intelligence Driven Stress monitoring for mental wellbeing tracking During COVID-19.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020
Towards the Development of an Adaptive System for Detecting Anomaly in Human Activities.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Adaptation of Convolutional Neural Networks for Multi-Channel Artifact Detection in Chronically Recorded Local Field Potentials.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Neural Network-based Artifact Detection in Local Field Potentials Recorded from Chronically Implanted Neural Probes.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Hidden Markov Model based Trust Management Model for Underwater Wireless Sensor Networks.
Proceedings of the ICCA 2020: International Conference on Computing Advancements, 2020
Strengthening Health Systems in Low-Income Countries: A Stakeholder Engagement Framework.
Proceedings of Ongoing Research, 2020
Effect of the Gamma Entrainment Frequency in Pertinence to Mood, Memory and Cognition.
Proceedings of the Brain Informatics - 13th International Conference, 2020
Towards Improved Detection of Cognitive Performance Using Bidirectional Multilayer Long-Short Term Memory Neural Network.
Proceedings of the Brain Informatics - 13th International Conference, 2020
Proceedings of the Brain Informatics - 13th International Conference, 2020
Improving Alcoholism Diagnosis: Comparing Instance-Based Classifiers Against Neural Networks for Classifying EEG Signal.
Proceedings of the Brain Informatics - 13th International Conference, 2020
Machine Learning Based Early Fall Detection for Elderly People with Neurological Disorder Using Multimodal Data Fusion.
Proceedings of the Brain Informatics - 13th International Conference, 2020
Towards Artificial Intelligence Driven Emotion Aware Fall Monitoring Framework Suitable for Elderly People with Neurological Disorder.
Proceedings of the Brain Informatics - 13th International Conference, 2020
Proceedings of the Brain Informatics - 13th International Conference, 2020
Effectiveness of Employing Multimodal Signals in Removing Artifacts from Neuronal Signals: An Empirical Analysis.
Proceedings of the Brain Informatics - 13th International Conference, 2020
Machine Learning in Analysing Invasively Recorded Neuronal Signals: Available Open Access Data Sources.
Proceedings of the Brain Informatics - 13th International Conference, 2020
A Monitoring System for Patients of Autism Spectrum Disorder Using Artificial Intelligence.
Proceedings of the Brain Informatics - 13th International Conference, 2020
2019
Toward a Heterogeneous Mist, Fog, and Cloud-Based Framework for the Internet of Healthcare Things.
IEEE Internet Things J., 2019
A Consensus Novelty Detection Ensemble Approach for Anomaly Detection in Activities of Daily Living.
Appl. Soft Comput., 2019
IEEE Access, 2019
Gesture Recognition Intermediary Robot for Abnormality Detection in Human Activities.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
A similarity measure approach for identifying causes of anomaly in activities of daily living.
Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019
Detecting Neurodegenerative Disease from MRI: A Brief Review on a Deep Learning Perspective.
Proceedings of the Brain Informatics - 12th International Conference, 2019
Application of Convolutional Neural Network in Segmenting Brain Regions from MRI Data.
Proceedings of the Brain Informatics - 12th International Conference, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Intell. Transp. Syst., 2018
A Brain-Inspired Trust Management Model to Assure Security in a Cloud Based IoT Framework for Neuroscience Applications.
Cogn. Comput., 2018
IEEE Access, 2018
An Energy Conserving Routing Scheme for Wireless Body Sensor Nanonetwork Communication.
IEEE Access, 2018
Proceedings of the Empowering Smart Technology in Digital Era for a Better Life: The 3rd International Conference on Computer Science and Computational Intelligence, 2018
Proceedings of the 2018 International Conference on Advances in Computing, 2018
Rat Cortical Layers Classification extracting Evoked Local Field Potential Images with Implanted Multi-Electrode Sensor.
Proceedings of the 20th IEEE International Conference on e-Health Networking, 2018
Proceedings of the Brain Informatics - International Conference, 2018
ADEPTNESS: Alzheimer's Disease Patient Management System Using Pervasive Sensors - Early Prototype and Preliminary Results.
Proceedings of the Brain Informatics - International Conference, 2018
Embedded Classification of Local Field Potentials Recorded from Rat Barrel Cortex with Implanted Multi-Electrode Array.
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018
2016
An Automated Method for Characterization of Evoked Single-Trial Local Field Potentials Recorded from Rat Barrel Cortex Under Mechanical Whisker Stimulation.
Cogn. Comput., 2016
A Neuro-Fuzzy Control System Based on Feature Extraction of Surface Electromyogram Signal for Solar-Powered Wheelchair.
Cogn. Comput., 2016
Neural tissue and brain interfacing CMOS devices - An introduction to state-of-the-art, current and future challenges.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
2015
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Anesthesia effect on single local field potentials variability in rat barrel cortex: Preliminary results.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
CMOS-compatible purely capacitive interfaces for high-density in-vivo recording from neural tissue.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015
2014
QSpike tools: a generic framework for parallel batch preprocessing of extracellular neuronal signals recorded by substrate microelectrode arrays.
Frontiers Neuroinformatics, 2014
A novel cardiovascular decision support framework for effective clinical risk assessment.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health, 2014
Intelligent image processing techniques for cancer progression detection, recognition and prediction in the human liver.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health, 2014
2013
Proceedings of the Advances in Soft Computing and Its Applications, 2013
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Healthcare and e-health, 2013
A brain-computer interface test-bench based on EEG signals for research and student training.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Healthcare and e-health, 2013
2012
A Non-Blind Watermarking Scheme for Gray Scale Images in Discrete Wavelet Transform Domain using Two Subbands
CoRR, 2012
Cogn. Comput., 2012
Proceedings of the Biomimetic and Biohybrid Systems - First International Conference, 2012
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Na+ channels at postsynaptic muscle membrane affects synaptic transmission at Neuromuscular Junction: A simulation study.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2012
2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
An automated method to determine angular preferentiality using LFPs recorded from rat barrel cortex by brain-chip interface under mechanical whisker stimulation.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011