Muhammad Ashad Kabir
Orcid: 0000-0002-6798-6535
According to our database1,
Muhammad Ashad Kabir
authored at least 116 papers
between 2007 and 2024.
Collaborative distances:
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Bibliography
2024
Mobile Apps for Wound Assessment and Monitoring: Limitations, Advancements and Opportunities.
J. Medical Syst., December, 2024
A Robust Deep-Learning Model to Detect Major Depressive Disorder Utilizing EEG Signals.
IEEE Trans. Artif. Intell., October, 2024
Legal and ethical aspects of deploying artificial intelligence in climate-smart agriculture.
AI Soc., February, 2024
Handwritten Bangla character recognition using convolutional neural networks: a comparative study and new lightweight model.
Neural Comput. Appl., January, 2024
Evaluating mobile applications for estimating soil properties: Quality of current apps, limitations and future directions.
Comput. Electron. Agric., January, 2024
SoftwareX, 2024
Int. J. Mob. Learn. Organisation, 2024
Advancing Web Browser Forensics: Critical Evaluation of Emerging Tools and Techniques.
CoRR, 2024
From Lab to Pocket: A Novel Continual Learning-based Mobile Application for Screening COVID-19.
CoRR, 2024
Self-DenseMobileNet: A Robust Framework for Lung Nodule Classification using Self-ONN and Stacking-based Meta-Classifier.
CoRR, 2024
Analysis of child development facts and myths using text mining techniques and classification models.
CoRR, 2024
Exploring the Impact of Word Prediction Assistive Features on Smartphone Keyboards for Blind Users.
CoRR, 2024
Machine Learning Models for the Identification of Cardiovascular Diseases Using UK Biobank Data.
CoRR, 2024
COVIDHealth: A Benchmark Twitter Dataset and Machine Learning based Web Application for Classifying COVID-19 Discussions.
CoRR, 2024
Comput. Electron. Agric., 2024
2023
Future Internet, March, 2023
A Comparison of Machine Learning Techniques for the Detection of Type-2 Diabetes Mellitus: Experiences from Bangladesh.
Inf., 2023
MMTF-DES: A Fusion of Multimodal Transformer Models for Desire, Emotion, and Sentiment Analysis of Social Media Data.
CoRR, 2023
COVIDFakeExplainer: An Explainable Machine Learning based Web Application for Detecting COVID-19 Fake News.
CoRR, 2023
AI-Driven Personalised Offloading Device Prescriptions: A Cutting-Edge Approach to Preventing Diabetes-Related Plantar Forefoot Ulcers and Complications.
CoRR, 2023
Machine Learning Techniques for Estimating Soil Moisture from Mobile Captured Images.
CoRR, 2023
An Integrated Statistical and Clinically Applicable Machine Learning Framework for the Detection of Autism Spectrum Disorder.
Comput., 2023
A Review on Business Process Management System Design: The Role of Virtualization and Work Design.
IEEE Access, 2023
The Impact of Social and Broadcast Media on Public Health Initiatives: Study of the COVID-19 Infodemics.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
A Review of Systems for Educational User Data Storage and Security Through Decentralised Blockchain Storage Systems.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2023
2022
ACM Trans. Internet Techn., 2022
Soc. Netw. Anal. Min., 2022
OptiFit: Computer-Vision-Based Smartphone Application to Measure the Foot from Images and 3D Scans.
Sensors, 2022
A survey of machine learning techniques for detecting and diagnosing COVID-19 from imaging.
Quant. Biol., 2022
J. Heal. Informatics Res., 2022
Smartphone apps for tracking food consumption and recommendations: Evaluating artificial intelligence-based functionalities, features and quality of current apps.
Intell. Syst. Appl., 2022
Inferring data model from service interactions for response generation in service virtualization.
Inf. Softw. Technol., 2022
Automatic Cattle Identification using YOLOv5 and Mosaic Augmentation: A Comparative Analysis.
CoRR, 2022
A Systematic Review of Machine Learning Techniques for Cattle Identification: Datasets, Methods and Future Directions.
CoRR, 2022
Understanding the Effect of Smartphone Cameras on Estimating Munsell Soil Colors from Imagery.
CoRR, 2022
CoRR, 2022
Learn2Write: Augmented Reality and Machine Learning-Based Mobile App to Learn Writing.
Comput., 2022
Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method.
Comput. Biol. Medicine, 2022
IEEE Access, 2022
'ShishuShurokkha': A Transformative Justice Approach for Combating Child Sexual Abuse in Bangladesh.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
Internet of Things and Microservices in Supply Chain: Cybersecurity Challenges, and Research Opportunities.
Proceedings of the Advanced Information Networking and Applications, 2022
2021
IEEE Trans. Serv. Comput., 2021
IEEE J. Biomed. Health Informatics, 2021
ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19.
PeerJ Comput. Sci., 2021
Int. J. Game Based Learn., 2021
Health Inf. Sci. Syst., 2021
SpecMiner: Heuristic-based mining of service behavioral models from interaction traces.
Future Gener. Comput. Syst., 2021
CoRR, 2021
An Ensemble-based Multi-Criteria Decision Making Method for COVID-19 Cough Classification.
CoRR, 2021
Understanding the Social Determinants of Mental Health of the Undergraduate Students in Bangladesh: Interview Study.
CoRR, 2021
A Systematic Review of Mobile Apps for Child Sexual Abuse Education: Limitations and Design Guidelines.
CoRR, 2021
Opposition-Based Quantum Bat Algorithm to Eliminate Lower-Order Harmonics of Multilevel Inverters.
IEEE Access, 2021
Designing and Evaluating Multimodal Interactions for Facilitating Visual Analysis With Dashboards.
IEEE Access, 2021
Proceedings of the 25th International Conference Information Visualisation, 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Purdah, Amanah, and Gheebat: Understanding Privacy in Bangladeshi "pious" Muslim Communities.
Proceedings of the COMPASS '21: ACM SIGCAS Conference on Computing and Sustainable Societies, Virtual Event, Australia, 28 June 2021, 2021
2020
PDCOVIDNet: a parallel-dilated convolutional neural network architecture for detecting COVID-19 from chest X-ray images.
Health Inf. Sci. Syst., 2020
CoRR, 2020
ECOVNet: An Ensemble of Deep Convolutional Neural Networks Based on EfficientNet to Detect COVID-19 From Chest X-rays.
CoRR, 2020
MIVA: Multimodal Interactions for Facilitating Visual Analysis with Multiple Coordinated Views.
Proceedings of the 24th International Conference on Information Visualisation, 2020
MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry.
Proceedings of the 7th International Conference on Behavioural and Social Computing, 2020
2019
A novel quick seizure detection and localization through brain data mining on ECoG dataset.
Neural Comput. Appl., 2019
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019
Proceedings of the 18th IEEE International Conference On Trust, 2019
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019
Augmented Reality in Education: A Study on Preschool Children, Parents, and Teachers in Bangladesh.
Proceedings of the Virtual, Augmented and Mixed Reality. Applications and Case Studies, 2019
2018
Health Inf. Sci. Syst., 2018
Comput. J., 2018
Proceedings of the 25th International Conference on Software Analysis, 2018
Proceedings of the 17th IEEE International Conference On Trust, 2018
Proceedings of the 17th IEEE International Conference On Trust, 2018
Proceedings of the 17th IEEE International Conference On Trust, 2018
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018
Proceedings of the Australasian Computer Science Week Multiconference, 2018
2017
Proceedings of the IEEE 24th International Conference on Software Analysis, 2017
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017
An Approach to Modeling Call Response Behavior on Mobile Phones Based on Multi-Dimensional Contexts.
Proceedings of the 4th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2017
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017
Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017
An Improved Naive Bayes Classifier-Based Noise Detection Technique for Classifying User Phone Call Behavior.
Proceedings of the Data Mining, 2017
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017
2016
Proceedings of the Persuasive Technology - 11th International Conference, 2016
Predicting how you respond to phone calls: towards discovering temporal behavioral rules.
Proceedings of the 28th Australian Conference on Computer-Human Interaction, 2016
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2016 Conferences, 2016
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2016 Workshops, 2016
Proceedings of the 21st International Conference on Engineering of Complex Computer Systems, 2016
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016
Evidence-Based Behavioral Model for Calendar Schedules of Individual Mobile Phone Users.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016
Behavior-Oriented Time Segmentation for Mining Individualized Rules of Mobile Phone Users.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016
Pervasive Social Computing - Socially-Aware Pervasive Systems and Mobile Applications
Springer, ISBN: 978-3-319-29951-8, 2016
2015
J. Netw. Comput. Appl., 2015
Social Context as a Service: Managing Adaptation in Collaborative Pervasive Applications.
Int. J. Cooperative Inf. Syst., 2015
2014
User-centric social context information management: an ontology-based approach and platform.
Pers. Ubiquitous Comput., 2014
SocioTelematics: Harnessing social interaction-relationships in developing automotive applications.
Pervasive Mob. Comput., 2014
Proceedings of the Context in Computing, 2014
2013
Modeling, managing and reasoning about social contexts for socially-aware applications.
Proceedings of the 2013 IEEE International Conference on Pervasive Computing and Communications Workshops, 2013
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2013 Conferences, 2013
2012
SocioTelematics: Leveraging Interaction-Relationships in Developing Telematics Systems to Support Cooperative Convoys.
Proceedings of the 9th International Conference on Ubiquitous Intelligence and Computing and 9th International Conference on Autonomic and Trusted Computing, 2012
SCIMS: A Social Context Information Management System for Socially-Aware Applications.
Proceedings of the Advanced Information Systems Engineering, 2012
2011
Proceedings of the 16th IEEE International Conference on Engineering of Complex Computer Systems, 2011
2010
Proceedings of the 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2010
2007
LIT Middleware: Design and Implementation of RFID Middleware Based on the EPC Network Architecture.
Proceedings of the Dynamics in Logistics, First International Conference, 2007