LIT Middleware: Design and Implementation of RFID Middleware Based on the EPC Network Architecture. - Muhammad Ashad Kabir; Bonghee Hong; Wooseok Ryu; Sungwoo Ahn (LDIC, 2007)

An Approach to Query Decomposition for Reader Level Filtering in RFID Middleware. - Muhammad Ashad Kabir; Jun Han 004; Wooseok Ryu; Bonghee Hong (RTCSA, 2010)

Modeling and Coordinating Social Interactions in Pervasive Environments. - Muhammad Ashad Kabir; Jun Han 004; Alan W. Colman (ICECCS, 2011)

SCIMS: A Social Context Information Management System for Socially-Aware Applications. - Muhammad Ashad Kabir; Jun Han 004; Jian Yu 002; Alan W. Colman (CAiSE, 2012)

SocioTelematics: Leveraging Interaction-Relationships in Developing Telematics Systems to Support Cooperative Convoys. - Muhammad Ashad Kabir; Jun Han 004; Alan W. Colman; Jian Yu 002 (UIC/ATC, 2012)

SCaaS: A Platform for Managing Adaptation in Collaborative Pervasive Applications. - Muhammad Ashad Kabir; Jun Han 004; Alan Colman; Jian Yu 002 (OTM Conferences, 2013)

Modeling, managing and reasoning about social contexts for socially-aware applications. - Muhammad Ashad Kabir (PerCom Workshops, 2013)

SocioPlatform: A Platform for Social Context-Aware Applications. - Muhammad Ashad Kabir; Alan Colman; Jun Han 004 (Context in Computing, 2014)

SocioTelematics: Harnessing social interaction-relationships in developing automotive applications. - Muhammad Ashad Kabir; Jun Han 004; Alan W. Colman (Pervasive Mob. Comput., 2014)

User-centric social context information management: an ontology-based approach and platform. - Muhammad Ashad Kabir; Jun Han 004; Jian Yu 002; Alan Colman (Pers. Ubiquitous Comput., 2014)

Inferring User Situations from Interaction Events in Social Media. - Muhammad Ashad Kabir; Jun Han 004; Jian Yu 002; Alan W. Colman (Comput. J., 2015)

Social Context as a Service: Managing Adaptation in Collaborative Pervasive Applications. - Muhammad Ashad Kabir; Jun Han 004; Alan W. Colman; Jian Yu 002 (Int. J. Cooperative Inf. Syst., 2015)

Reader level filtering for efficient query processing in RFID middleware. - Muhammad Ashad Kabir; Jun Han 004; Bonghee Hong (J. Netw. Comput. Appl., 2015)

Pervasive Social Computing - Socially-Aware Pervasive Systems and Mobile Applications - Muhammad Ashad Kabir; Jun Han 004; Alan Colman (Springer, 2016)

Behavior-Oriented Time Segmentation for Mining Individualized Rules of Mobile Phone Users. - Iqbal H. Sarker; Alan Colman; Muhammad Ashad Kabir; Jun Han 004 (DSAA, 2016)

Evidence-Based Behavioral Model for Calendar Schedules of Individual Mobile Phone Users. - Iqbal H. Sarker; Muhammad Ashad Kabir; Alan Colman; Jun Han 004 (DSAA, 2016)

Understanding individuals phone call behavior for calendar events. - Iqbal H. Sarker; Alan W. Colman; Muhammad Ashad Kabir; Jun Han 004 (UbiComp Adjunct, 2016)

Phone call log as a context source to modeling individual user behavior. - Iqbal H. Sarker; Alan W. Colman; Muhammad Ashad Kabir; Jun Han 004 (UbiComp Adjunct, 2016)

Engineering Socially-Aware Systems and Applications. - Muhammad Ashad Kabir; Jun Han 004; Alan W. Colman; Naif R. Aljohani; Mohammed Basheri; Zhenchang Xing; Shang-Wei Lin 001 (ICECCS, 2016)

A Generic Framework for Adding Semantics to Digital Libraries. - Muhammad Ahtisham Aslam; Naif Radi Aljohani; Rabeeh Ayaz Abbasi; Miltiadis D. Lytras; Muhammad Ashad Kabir (OTM Workshops, 2016)

Ontological Reasoning About Situations from Calendar Events. - Muhammad Ashad Kabir; Jun Han 004; Alan Colman; Naif R. Aljohani; Mohammed Basheri; Muhammad Ahtisham Aslam (OTM Conferences, 2016)

Predicting how you respond to phone calls: towards discovering temporal behavioral rules. - Iqbal H. Sarker; Muhammad Ashad Kabir; Alan Colman; Jun Han 004 (OZCHI, 2016)

Alcohol Behaviour Change: Lessons Learned from User Reviews of iTunes Apps. - Omar Mubin; Abdullah Al Mahmud 001; Muhammad Ashad Kabir (PERSUASIVE, 2016)

Analyzing Performance of Classification Techniques in Detecting Epileptic Seizure. - Mohammad Khubeb Siddiqui; Md Zahidul Islam 001; Muhammad Ashad Kabir (ADMA, 2017)

An Improved Naive Bayes Classifier-Based Noise Detection Technique for Classifying User Phone Call Behavior. - Iqbal H. Sarker; Muhammad Ashad Kabir; Alan Colman; Jun Han 004 (AusDM, 2017)

Process Patterns: Reusable Design Artifacts for Business Process Models. - Muhammad Ashad Kabir; Zhenchang Xing; Prakash Chandrasekaran; Shang-Wei Lin 001 (COMPSAC (1), 2017)

An effective call prediction model based on noisy mobile phone data. - Iqbal H. Sarker; Muhammad Ashad Kabir; Alan Colman; Jun Han 004 (UbiComp/ISWC Adjunct, 2017)

Designing architecture of a rule-based system for managing phone call interruptions. - Iqbal H. Sarker; Muhammad Ashad Kabir; Alan Colman; Jun Han 004 (UbiComp/ISWC Adjunct, 2017)

Understanding recency-based behavior model for individual mobile phone users. - Iqbal H. Sarker; Muhammad Ashad Kabir; Alan Colman; Jun Han 004 (UbiComp/ISWC Adjunct, 2017)

An Approach to Modeling Call Response Behavior on Mobile Phones Based on Multi-Dimensional Contexts. - Iqbal H. Sarker; Muhammad Ashad Kabir; Alan W. Colman; Jun Han 004 (MOBILESoft@ICSE, 2017)

Identifying Recent Behavioral Data Length in Mobile Phone Log. - Iqbal H. Sarker; Muhammad Ashad Kabir; Alan Colman; Jun Han 004 (MobiQuitous, 2017)

HDSKG: Harvesting domain specific knowledge graph from content of webpages. - Xuejiao Zhao; Zhenchang Xing; Muhammad Ashad Kabir; Naoya Sawada; Jing Li 034; Shang-Wei Lin 001 (SANER, 2017)

A system architecture for subject-centric data sharing. - Mohammad Jabed Morshed Chowdhury; Alan Colman; Jun Han 004; Muhammad Ashad Kabir (ACSW, 2018)

A Policy Framework for Subject-Driven Data Sharing. - Mohammad Jabed Morshed Chowdhury; Alan Colman; Jun Han 004; Muhammad Ashad Kabir (HICSS, 2018)

Blockchain as a Notarization Service for Data Sharing with Personal Data Store. - Mohammad Jabed Morshed Chowdhury; Alan Colman; Muhammad Ashad Kabir; Jun Han 004; Paul Sarda (TrustCom/BigDataSE, 2018)

Blockchain Versus Database: A Critical Analysis. - Mohammad Jabed Morshed Chowdhury; Alan Colman; Muhammad Ashad Kabir; Jun Han 004; Paul Sarda (TrustCom/BigDataSE, 2018)

Blockchain for Fraud Prevention: A Work-History Fraud Prevention System. - Paul Sarda; Mohammad Jabed Morshed Chowdhury; Alan Colman; Muhammad Ashad Kabir; Jun Han 004 (TrustCom/BigDataSE, 2018)

Mining accurate message formats for service APIs. - Md. Arafat Hossain; Steve Versteeg; Jun Han 004; Muhammad Ashad Kabir; Jiaojiao Jiang; Jean-Guy Schneider (SANER, 2018)

Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior. - Iqbal H. Sarker; Alan Colman; Muhammad Ashad Kabir; Jun Han 004 (Comput. J., 2018)

Depression detection from social network data using machine learning techniques. - Md. Rafiqul Islam 004; Muhammad Ashad Kabir; Ashir Ahmed; Abu Raihan M. Kamal; Hua Wang 002; Anwaar Ulhaq (Health Inf. Sci. Syst., 2018)

Augmented Reality in Education: A Study on Preschool Children, Parents, and Teachers in Bangladesh. - Mohammad Fahim Abrar; Md. Rakibul Islam; Md. Sabir Hossain; Mohammad Mainul Islam; Muhammad Ashad Kabir (HCI (10), 2019)

Sports Highlights Generation using Decomposed Audio Information. - Muhammad Rafiqul Islam; Manoranjan Paul; Michael Antolovich; Ashad Kabir (ICME Workshops, 2019)

A Large-Scale Analysis of Health Journalism by Reliable and Unreliable Media. - Sameer Dhoju; Md Main Uddin Rony; Muhammad Ashad Kabir; Naeemul Hassan (MedInfo, 2019)

Detecting Child Autism Using Classification Techniques. - Md. Delowar Hossain; Muhammad Ashad Kabir (MedInfo, 2019)

Continuous Authorization in Subject-Driven Data Sharing Using Wearable Devices. - Mohammad Jabed Morshed Chowdhury; Alan Colman; Muhammad Ashad Kabir; Jun Han 004; Paul Sarda (TrustCom/BigDataSE, 2019)

Differences in Health News from Reliable and Unreliable Media. - Sameer Dhoju; Md Main Uddin Rony; Muhammad Ashad Kabir; Naeemul Hassan (WWW (Companion Volume), 2019)

A novel quick seizure detection and localization through brain data mining on ECoG dataset. - Mohammad Khubeb Siddiqui; Md Zahidul Islam 001; Muhammad Ashad Kabir (Neural Comput. Appl., 2019)

MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry. - Md. Rafiqul Islam 004; Shaowu Liu; Imran Razzak; Muhammad Ashad Kabir; Xianzhi Wang 001; Peter Tilocca; Guandong Xu (BESC, 2020)

MIVA: Multimodal Interactions for Facilitating Visual Analysis with Multiple Coordinated Views. - Imran Chowdhury; Abdul Moeid; Enamul Hoque; Muhammad Ashad Kabir; Md. Sabir Hossain; Mohammad Mainul Islam (IV, 2020)

Investigating Smart Home Security: Is Blockchain the Answer? - Samrah Arif; M. Arif Khan; Sabih ur Rehman; Muhammad Ashad Kabir; Muhammad Imran 001 (IEEE Access, 2020)

Towards Domain-Specific Characterization of Misinformation. - Fariha Afsana; Muhammad Ashad Kabir; Naeemul Hassan; Manoranjan Paul (CoRR, 2020)

Mobile Apps for Foot Measurement: A Scoping Review. - Muhammad Ashad Kabir; Sowmen Rahman; Mohammad Mainul Islam; Sayed Ahmed; Craig Laird (CoRR, 2020)

ECOVNet: An Ensemble of Deep Convolutional Neural Networks Based on EfficientNet to Detect COVID-19 From Chest X-rays. - Nihad Karim Chowdhury; Md. Muhtadir Rahman; Noortaz Rezoana; Muhammad Ashad Kabir (CoRR, 2020)

Mental Health and Sensing. - Abdul Kawsar Tushar; Muhammad Ashad Kabir; Syed Ishtiaque Ahmed (CoRR, 2020)

Detecting Autism Spectrum Disorder using Machine Learning. - Md. Delowar Hossain; Muhammad Ashad Kabir; Adnan Anwar; Md Zahidul Islam 001 (CoRR, 2020)

Heuristic-based Mining of Service Behavioral Models from Interaction Traces. - Muhammad Ashad Kabir; Jun Han 004; Md. Arafat Hossain; Steve Versteeg (CoRR, 2020)

PDCOVIDNet: a parallel-dilated convolutional neural network architecture for detecting COVID-19 from chest X-ray images. - Nihad Karim Chowdhury; Md. Muhtadir Rahman; Muhammad Ashad Kabir (Health Inf. Sci. Syst., 2020)

Purdah, Amanah, and Gheebat: Understanding Privacy in Bangladeshi "pious" Muslim Communities. - Mohammad Rashidujjaman Rifat; Mahiratul Jannat; Mahdi Nasrullah Al-Ameen; S. M. Taiabul Haque; Muhammad Ashad Kabir; Syed Ishtiaque Ahmed (COMPASS, 2021)

BenAV: a Bengali Audio-Visual Corpus for Visual Speech Recognition. - Ashish Pondit; Muhammad Eshaque Ali Rukon; Anik Das; Muhammad Ashad Kabir (ICONIP (2), 2021)

ExTraVis: Exploration of Traffic Incidents Using a Visual Interactive System. - Joshua Zerafa; Md. Rafiqul Islam 004; Muhammad Ashad Kabir; Guandong Xu (IV, 2021)

Designing and Evaluating Multimodal Interactions for Facilitating Visual Analysis With Dashboards. - Imran Chowdhury; Abdul Moeid; Enamul Hoque; Muhammad Ashad Kabir; Md. Sabir Hossain; Mohammad Mainul Islam (IEEE Access, 2021)

Opposition-Based Quantum Bat Algorithm to Eliminate Lower-Order Harmonics of Multilevel Inverters. - Jahedul Islam; Sheikh Tanzim Meraj; Ammar Masaoud; Md. Apel Mahmud; Amril Nazir; Muhammad Ashad Kabir; Md. Moinul Hossain; Farhan Mumtaz (IEEE Access, 2021)

A Systematic Review of Mobile Apps for Child Sexual Abuse Education: Limitations and Design Guidelines. - Sadia Tasnuva Pritha; Rahnuma Tasnim; Muhammad Ashad Kabir; Sumaiya Amin; Anik Das (CoRR, 2021)

Understanding the Social Determinants of Mental Health of the Undergraduate Students in Bangladesh: Interview Study. - Ananya Bhattacharjee; S. M. Taiabul Haque; Abdul Hady; S. M. Raihanul Alam; Mashfiqui Rabbi; Muhammad Ashad Kabir; Syed Ishtiaque Ahmed (CoRR, 2021)

An Ensemble-based Multi-Criteria Decision Making Method for COVID-19 Cough Classification. - Nihad Karim Chowdhury; Muhammad Ashad Kabir; Md. Muhtadir Rahman (CoRR, 2021)

A Survey of COVID-19 Misinformation: Datasets, Detection Techniques and Open Issues. - A. R. Sana Ullah; Anupam Das 006; Anik Das; Muhammad Ashad Kabir; Kai Shu (CoRR, 2021)

SpecMiner: Heuristic-based mining of service behavioral models from interaction traces. - Muhammad Ashad Kabir; Jun Han 004; Md. Arafat Hossain; Steve Versteeg (Future Gener. Comput. Syst., 2021)

Detecting autism spectrum disorder using machine learning techniques. - Md. Delowar Hossain; Muhammad Ashad Kabir; Adnan Anwar; Md Zahidul Islam 001 (Health Inf. Sci. Syst., 2021)

FoodCalorie: A Mobile Game to Learn Daily Calorie Intake Standard. - Anik Das; Sumaiya Amin; Muhammad Ashad Kabir; Md. Sabir Hossain; Mohammad Mainul Islam (Int. J. Game Based Learn., 2021)

ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19. - Nihad Karim Chowdhury; Muhammad Ashad Kabir; Md. Muhtadir Rahman; Noortaz Rezoana (PeerJ Comput. Sci., 2021)

Encryption Based Image Watermarking Algorithm in 2DWT-DCT Domains. - Nayeem Hasan; Md. Saiful Islam 001; Wenyu Chen; Muhammad Ashad Kabir; Saad Al-Ahmadi 002 (Sensors, 2021)

Automatically Assessing Quality of Online Health Articles. - Fariha Afsana; Muhammad Ashad Kabir; Naeemul Hassan; Manoranjan Paul (IEEE J. Biomed. Health Informatics, 2021)

Leveraging Official Content and Social Context to Recommend Software Documentation. - Jing Li 034; Zhenchang Xing; Muhammad Ashad Kabir (IEEE Trans. Serv. Comput., 2021)

Internet of Things and Microservices in Supply Chain: Cybersecurity Challenges, and Research Opportunities. - Belal Alsinglawi; Lihong Zheng; Muhammad Ashad Kabir; Md Zahidul Islam 001; Dave Swain; Will Swain (AINA (3), 2022)

'ShishuShurokkha': A Transformative Justice Approach for Combating Child Sexual Abuse in Bangladesh. - Sharifa Sultana; Sadia Tasnuva Pritha; Rahnuma Tasnim; Anik Das; Rokeya Akter; Shaid Hasan; S. M. Raihanul Alam; Muhammad Ashad Kabir; Syed Ishtiaque Ahmed (CHI, 2022)

A Surrogate Assisted Quantum-Behaved Algorithm for Well Placement Optimization. - Jahedul Islam; Amril Nazir; Md. Moinul Hossain; Hitmi Khalifa Alhitmi; Muhammad Ashad Kabir; Abdul-Halim M. Jallad (IEEE Access, 2022)

The Anonymity of the Dark Web: A Survey. - Javeriah Saleem; Rafiqul Islam 002; Muhammad Ashad Kabir (IEEE Access, 2022)

Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method. - Nihad Karim Chowdhury; Muhammad Ashad Kabir; Md. Muhtadir Rahman; Sheikh Mohammed Shariful Islam (Comput. Biol. Medicine, 2022)

Learn2Write: Augmented Reality and Machine Learning-Based Mobile App to Learn Writing. - Md. Nahidul Islam Opu; Md. Rakibul Islam; Muhammad Ashad Kabir; Md. Sabir Hossain; Mohammad Mainul Islam (Comput., 2022)

Evaluating Plant Disease Detection Mobile Applications: Quality and Limitations. - Ayesha Siddiqua; Muhammad Ashad Kabir; Tanzina Ferdous; Israt Bintea Ali; Leslie A. Weston (CoRR, 2022)

Understanding the Effect of Smartphone Cameras on Estimating Munsell Soil Colors from Imagery. - Ricky Sinclair; Muhammad Ashad Kabir (CoRR, 2022)

A Systematic Review of Machine Learning Techniques for Cattle Identification: Datasets, Methods and Future Directions. - Md Ekramul Hossain; Muhammad Ashad Kabir; Lihong Zheng; Dave L. Swain; Shawn McGrath; Jonathan Medway (CoRR, 2022)

Automatic Cattle Identification using YOLOv5 and Mosaic Augmentation: A Comparative Analysis. - Rabin Dulal; Lihong Zheng; Muhammad Ashad Kabir; Shawn McGrath; Jonathan Medway; Dave Swain; Will Swain (CoRR, 2022)

Inferring data model from service interactions for response generation in service virtualization. - Md. Arafat Hossain; Jiaojiao Jiang; Jun Han 004; Muhammad Ashad Kabir; Jean-Guy Schneider; Chengfei Liu (Inf. Softw. Technol., 2022)

Smartphone apps for tracking food consumption and recommendations: Evaluating artificial intelligence-based functionalities, features and quality of current apps. - Sabiha Samad; Fahmida Ahmed; Samsun Naher; Muhammad Ashad Kabir; Anik Das; Sumaiya Amin; Sheikh Mohammed Shariful Islam (Intell. Syst. Appl., 2022)

Analyzing the Impact of Demographic Variables on Spreading and Forecasting COVID-19. - Omar Sharif; Md. Rafiqul Islam 004; Md Zobaer Hasan; Muhammad Ashad Kabir; Md Emran Hasan; Salman A. AlQahtani; Guandong Xu (J. Heal. Informatics Res., 2022)

A survey of machine learning techniques for detecting and diagnosing COVID-19 from imaging. - Aishwarza Panday; Muhammad Ashad Kabir; Nihad Karim Chowdhury (Quant. Biol., 2022)

OptiFit: Computer-Vision-Based Smartphone Application to Measure the Foot from Images and 3D Scans. - Riyad Bin Rafiq; Kazi Miftahul Hoque; Muhammad Ashad Kabir; Sayed Ahmed; Craig Laird (Sensors, 2022)

Applications of machine learning for COVID-19 misinformation: a systematic review. - A. R. Sanaullah; Anupam Das 006; Anik Das; Muhammad Ashad Kabir; Kai Shu (Soc. Netw. Anal. Min., 2022)

Extracting Formats of Service Messages with Varying Payloads. - Md. Arafat Hossain; Jun Han 004; Jean-Guy Schneider; Jiaojiao Jiang; Muhammad Ashad Kabir; Steve Versteeg (ACM Trans. Internet Techn., 2022)

A Review of Systems for Educational User Data Storage and Security Through Decentralised Blockchain Storage Systems. - Dylan Warman; David Tien; Muhammad Ashad Kabir (ICMLC, 2023)

The Impact of Social and Broadcast Media on Public Health Initiatives: Study of the COVID-19 Infodemics. - Umashankar Upadhyay; Eshita Dhar; Sherali Bomrah; Yarou Huang; Mohy Uddin; Muhammad Ashad Kabir; Shabbir Syed-Abdul (MedInfo, 2023)

A Review on Business Process Management System Design: The Role of Virtualization and Work Design. - Luke Bartlett; Muhammad Ashad Kabir; Jun Han 004 (IEEE Access, 2023)

A Review of Methodologies for Fake News Analysis. - Mehedi Tajrian; Azizur Rahman; Muhammad Ashad Kabir; Md. Rafiqul Islam 001 (IEEE Access, 2023)

An Integrated Statistical and Clinically Applicable Machine Learning Framework for the Detection of Autism Spectrum Disorder. - Md. Jamal Uddin; Md. Martuza Ahamad; Prodip Kumar Sarker; Sakifa Aktar; Naif Mohammed Alotaibi; Salem A. Alyami; Muhammad Ashad Kabir; Mohammad Ali Moni (Comput., 2023)

Machine Learning Techniques for Estimating Soil Moisture from Mobile Captured Images. - Muhammad Riaz Hasib Hossain; Muhammad Ashad Kabir (CoRR, 2023)

AI-Driven Personalised Offloading Device Prescriptions: A Cutting-Edge Approach to Preventing Diabetes-Related Plantar Forefoot Ulcers and Complications. - Sayed Ahmed; Muhammad Ashad Kabir; Muhammad E. H. Chowdhury; Susan Nancarrow (CoRR, 2023)

COVIDFakeExplainer: An Explainable Machine Learning based Web Application for Detecting COVID-19 Fake News. - Dylan Warman; Muhammad Ashad Kabir (CoRR, 2023)

A Comparison of Machine Learning Techniques for the Detection of Type-2 Diabetes Mellitus: Experiences from Bangladesh. - Md. Jamal Uddin; Md. Martuza Ahamad; Md. Nesarul Hoque; Md. Abul Ala Walid; Sakifa Aktar; Naif Mohammed Alotaibi; Salem A. Alyami; Muhammad Ashad Kabir; Mohammad Ali Moni (Inf., 2023)

A Novel Hybrid Edge Detection and LBP Code-Based Robust Image Steganography Method. - Habiba Sultana; A. H. M. Kamal; Gahangir Hossain; Muhammad Ashad Kabir (Future Internet, 2023)

Optimizing Zero-Knowledge Proofs for Secure Educational Data Storage on Blockchain. - Dylan Warman; David Tien; Muhammad Ashad Kabir (ICMLC, 2024)

LEI: Livestock Event Information schema for enabling data sharing. - Mahir Habib; Muhammad Ashad Kabir; Lihong Zheng; Shawn McGrath (Comput. Electron. Agric., 2024)

COVIDHealth: A Benchmark Twitter Dataset and Machine Learning based Web Application for Classifying COVID-19 Discussions. - Mahathir Mohammad Bishal; Md. Rakibul Hassan Chowdory; Anik Das; Muhammad Ashad Kabir (CoRR, 2024)

Machine Learning Models for the Identification of Cardiovascular Diseases Using UK Biobank Data. - Sheikh Mohammed Shariful Islam; Moloud Abrar; Teketo Tegegne; Liliana Loranjo; Chandan K. Karmakar; Md. Abdul Awal; Md. Shahadat Hossain; Muhammad Ashad Kabir; Mufti Mahmud; Abbas Khosravi; George Siopis; Jeban Chandir Moses; et al. (CoRR, 2024)

Exploring the Impact of Word Prediction Assistive Features on Smartphone Keyboards for Blind Users. - Mrim M. Alnfiai; Muhammad Ashad Kabir (CoRR, 2024)

Analysis of child development facts and myths using text mining techniques and classification models. - Mehedi Tajrian; Azizur Rahman; Muhammad Ashad Kabir; Md. Rafiqul Islam 001 (CoRR, 2024)

Self-DenseMobileNet: A Robust Framework for Lung Nodule Classification using Self-ONN and Stacking-based Meta-Classifier. - Md. Sohanur Rahman; Muhammad E. H. Chowdhury; Hasib Ryan Rahman; Mosabber Uddin Ahmed; Muhammad Ashad Kabir; Sanjiban Sekhar Roy; Rusab Sarmun (CoRR, 2024)

From Lab to Pocket: A Novel Continual Learning-based Mobile Application for Screening COVID-19. - Danny Falero; Muhammad Ashad Kabir; Nusrat Homaira (CoRR, 2024)

Smartphone apps for child sexual abuse education: gaps and design considerations. - Sadia Tasnuva Pritha; Rahnuma Tasnim; Muhammad Ashad Kabir; Sumaiya Amin; Anik Das (Int. J. Mob. Learn. Organisation, 2024)

LEI2JSON: Schema-based validation and conversion of livestock event information. - Mahir Habib; Muhammad Ashad Kabir; Lihong Zheng (SoftwareX, 2024)

Evaluating mobile applications for estimating soil properties: Quality of current apps, limitations and future directions. - Ricky Sinclair; Sadia Nodi; Muhammad Ashad Kabir (Comput. Electron. Agric., 2024)

Handwritten Bangla character recognition using convolutional neural networks: a comparative study and new lightweight model. - Md. Nahidul Islam Opu; Md Ekramul Hossain; Muhammad Ashad Kabir (Neural Comput. Appl., 2024)

Legal and ethical aspects of deploying artificial intelligence in climate-smart agriculture. - Mahatab Uddin; Ataharul Chowdhury; Muhammad Ashad Kabir (AI Soc., 2024)

A Robust Deep-Learning Model to Detect Major Depressive Disorder Utilizing EEG Signals. - Israq Ahmed Anik; A. H. M. Kamal; Muhammad Ashad Kabir; Shahadat Uddin; Mohammad Ali Moni (IEEE Trans. Artif. Intell., 2024)

Mobile Apps for Wound Assessment and Monitoring: Limitations, Advancements and Opportunities. - Muhammad Ashad Kabir; Sabiha Samad; Fahmida Ahmed; Samsun Naher; Jill Featherston; Craig Laird; Sayed Ahmed (J. Medical Syst., 2024)

Machine learning-based approaches for distinguishing viral and bacterial pneumonia in paediatrics: A scoping review. - Declan Rickard; Muhammad Ashad Kabir; Nusrat Homaira (Comput. Methods Programs Biomed., 2025)

The interplay of virtualisation, work design, and business process management: A mixed-methods study. - Luke Bartlett; Muhammad Ashad Kabir; Jun Han 004 (Int. J. Inf. Manag. Data Insights, 2025)

Self-guided virtual reality therapy for anxiety: A systematic review. - Winona Graham; Russell Drinkwater; Joshua Kelson; Muhammad Ashad Kabir (Int. J. Medical Informatics, 2025)

MMTF-DES: A fusion of multimodal transformer models for desire, emotion, and sentiment analysis of social media data. - Abdul Aziz 002; Nihad Karim Chowdhury; Muhammad Ashad Kabir; Abu Nowshed Chy; Md Jawad Siddique (Neurocomputing, 2025)

BeliN: A novel corpus for Bengali religious news headline generation using contextual feature fusion. - Md Osama; Ashim Dey; Kawsar Ahmed; Muhammad Ashad Kabir (Nat. Lang. Process. J., 2025)

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation. - Rofiqul Islam; Nihad Karim Chowdhury; Muhammad Ashad Kabir (CoRR, 2025)

MHAFF: Multi-Head Attention Feature Fusion of CNN and Transformer for Cattle Identification. - Rabin Dulal; Lihong Zheng; Muhammad Ashad Kabir (CoRR, 2025)

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types. - Sauda Adiv Hanum; Ashim Dey; Muhammad Ashad Kabir (CoRR, 2025)

LEISA: A Scalable Microservice-based System for Efficient Livestock Data Sharing. - Mahir Habib; Muhammad Ashad Kabir; Lihong Zheng (CoRR, 2025)

Deep Learning for Wound Tissue Segmentation: A Comprehensive Evaluation using A Novel Dataset. - Muhammad Ashad Kabir; Nidita Roy; Md Ekramul Hossain; Jill Featherston; Sayed Ahmed (CoRR, 2025)

Virtual Reality and Artificial Intelligence as Psychological Countermeasures in Space and Other Isolated and Confined Environments: A Scoping Review. - Jennifer Sharp; Joshua Kelson; Daryl South; Anthony Saliba; Muhammad Ashad Kabir (CoRR, 2025)

A review of sentiment analysis: tasks, applications, and deep learning techniques. - Neeraj Anand Sharma; A. B. M. Shawkat Ali; Muhammad Ashad Kabir (Int. J. Data Sci. Anal., 2025)

Advancing Web Browser Forensics: Critical Evaluation of Emerging Tools and Techniques. - Rishal Ravikesh Chand; Neeraj Anand Sharma; Muhammad Ashad Kabir (SN Comput. Sci., 2025)

BenSParX: A Robust Explainable Machine Learning Framework for Parkinson's Disease Detection from Bengali Conversational Speech. - Riad Hossain; Muhammad Ashad Kabir; Arat Ibne Golam Mowla; Animesh Chandra Roy; Ranjit Kumar Ghosh (CoRR, 2025)

LLaMA-XR: A Novel Framework for Radiology Report Generation using LLaMA and QLoRA Fine Tuning. - Md. Zihad Bin Jahangir; Muhammad Ashad Kabir; Sumaiya Akter; Israt Jahan; Minh Chau (CoRR, 2025)

Deep learning-based beat-to-beat arterial blood pressure estimation using distant radar signals. - Chowdhury Farhan Ahmed; Md Kamal Hosain; Md. Shafayet Hossain; Muhammad E. H. Chowdhury; Sakib Mahmud; Muhammad Ashad Kabir; Abdulrahman Alqahtani; Anwarul Hasan (Neural Comput. Appl., 2025)