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Center for Computational & Data Sciences (CCDS), Independent University, Bangladesh (IUB). Plot 16, Aftabuddin Ahmed Road, Block B, Bashnudhara RA, Dhaka 1229, Bangladesh.

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Research

Publications

Academic publications by CCDS researchers.

311 publications

Per page:

2024

Jahanggir Hossain Setu, Md Sazzad Hossain, Nabarun Halder, Ashraful Islam, M Ashraful Amin

Securing Bluetooth Technology Against The BrakTooth Vulnerabilities Through Hybrid Machine Learning Model

3rd International Conference on Computational Modelling, Simulation and Optimization, pp. 59-65, 2024

Conference PaperDOI URL

Nayema Khatun, Nabarun Halder, Ashraful Islam, Md Zahangir Alam

Performance Evaluation of Machine Learning and Deep Learning Models for Predicting Type-2 Diabetes on Balanced and Imbalanced Data

IEEE 2024 International Advances in Science & Engineering Technology (ASET) Multi-Conferences, pp. 1-9, 2024

Conference PaperDOI URL

Sami Rashid, Tasnuba Badrul, Lishan Rafid, Jahanggir Hossain Setu, Nabarun Halder, Ashraful Islam

Ensemble and Deep Learning Approaches for Automated Screening of Anxiety, Depression, and Burnout in Medical Student Populations

IEEE 2024 International Advances in Science & Engineering Technology (ASET) Multi-Conferences, pp. 01-10, 2024

Conference PaperDOI URL

Syed Tangim Pasha, Nabarun Halder, Jahanggir Hossain Setu, Ashraful Islam, Md Zahangir Hossain

Physiological Signal Data-Driven Workplace Stress Detection Among Healthcare Professionals Using BiLSTM-AM and Ensemble Stacking Models

IEEE 2024 International Advances in Science & Engineering Technology (ASET) Multi-Conferences, Dubai, pp. 1-10, 2024

Conference PaperDOI URL

Farhan Khan, Tanima Ahamed Tulon, Noor Masrur, Md. Jihanul Hasan, Ashraful Islam

Development and Evaluation of ShasthoBondhu: mHealth App for Guiding Emergency Remote Healthcare with Wearable IoT and AI Fusion

IEEE 2024 International Advances in Science & Engineering Technology (ASET) Multi-Conferences, pp. 01-10, 2024

Conference PaperDOI URL

Mohammed Tahmid Hossain, Sabrina Masum Meem, Jahanggir Hossain Setu, Nabarun Halder, Ashraful Islam, Md Zahangir Alam

Cyberattacks Classification on Internet of Medical Things Using Information Gain Feature Selection and Machine Learning

IEEE 2024 International Advances in Science & Engineering Technology (ASET) Multi-Conferences, pp. 1-10, 2024

Conference PaperDOI URL

Nabarun Halder, Jahanggir Hossain Setu, Ashraful Islam, M Ashraful Amin

Smartwatch-Based Human Stress Diagnosis Utilizing Physiological Signals and LSTM-Driven Machine Intelligence

2024 Advances in Science and Engineering Technology International Conferences (ASET), pp. 01-08, 2024

Conference PaperDOI URL

S. T. Pasha, A. Islam, S. Sikder, M. T. Habib, M. Z. Alam, M. A. Amin

Using an Ensemble Machine Learning Model with Explainable AI (XAI) to Diagnose Gestational Diabetes Mellitus

Diabetes Research and Clinical Practice (DRCP), 2024 209, pp. 111504, 2024

Conference PaperDOI URL

M. M. Rahman, A. Islam, S. T. Pasha, M. U. Islam, M. Z. Alam

A Federated Learning Approach for Type-2 Diabetes Detection Using a Naive Bayes Classifier

Diabetes Research and Clinical Practice (DRCP) 209, pp. 111538, 2024

Conference PaperDOI URL

A. Islam, B. M. Chaudhry, A. M. Islam

Relational Agents for Type-2 Diabetes Management

Diabetes Research and Clinical Practice (DRCP), 2024 209, pp. 111184, 2024

Conference PaperDOI URL

Type 2 diabetesDiabetes mellitusMedicine

M. A. B. Khaled, S. Yasmin, A. S. M. F. A. Haque, A. Islam, E. Ahmed, B. M. Chaudhry

Conceptual Design and Evaluation Plan of a Mobile Relational Agent for Dengue Management in Bangladesh

International Conference on Design Science Research in Information Systems and Technology (DESRIST), 2024

Conference Paper

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BluetoothComputer scienceComputer security

Computer scienceMachine learningArtificial intelligenceDeep learningData modeling

BurnoutAnxietyDepression (economics)PsychologyClinical psychologyDeep learningEnsemble learningMachine learningArtificial intelligenceApplied psychologyData scienceComputer science

StackingHealth professionalsHealth careSIGNAL (programming language)Computer scienceStress (linguistics)Data scienceArtificial intelligence

mHealthWearable computerInternet of ThingsComputer scienceHealth careWearable technologyTelemedicineSensor fusion

Feature selectionComputer scienceInformation gainThe InternetArtificial intelligenceSelection (genetic algorithm)Feature (linguistics)Machine learningInternet of Things

SmartwatchComputer scienceStress (linguistics)Artificial intelligenceSpeech recognitionMachine learningWearable computer

MedicineGestational diabetesDiabetes mellitusArtificial intelligencePediatricsGestation

MedicineNaive Bayes classifierDiabetes mellitusType 2 diabetesArtificial intelligenceMachine learningClassifier (UML)Bayes' theorem

Nabarun Halder, Yousra Tabassum, Anika Islam, Nusrat Sultana, J. M. Sadik-Ul Islam Smaron, Ashraful Islam

Design and Evaluation of the PustiPothika mHealth App: A Machine Learning-Enabled Solution for Daily Nutritional Monitoring and Recommendations in Bangladesh

IEEE 2024 International Advances in Science & Engineering Technology (ASET) Multi-Conferences, pp. 01-07, 2024

Conference PaperDOI URL

mHealthComputer science

Tunisha Yanoor Bristy, Mohammad Arshad Hossain Ratul, Noorjahan Sayeed, Ashraful Islam

Preliminary Design Validation of a mHealth Tool for Gestational Diabetes Mellitus Management and Education in Bangladeshi Women

IEEE 2024 International Advances in Science & Engineering Technology (ASET) Multi-Conferences, pp. 1-8, 2024

Conference PaperDOI URL

Gestational diabetesmHealthDiabetes mellitusComputer scienceObstetricsMedicinePregnancy

Mahmudul Islam, Sami Rashid, Lishan Rafid, Tasnuba Badrul, Ashaful Islam, Beenish M Chaudhry

Design and Evaluation of a Smartwatch-Based Physiological Signal-Driven Workplace Stress Management mHealth Tool for Bangladeshi Healthcare Professionals

IEEE 2024 International Advances in Science & Engineering Technology (ASET) Multi-Conferences, pp. 1-10, 2024

Conference PaperDOI URL

SmartwatchmHealthComputer scienceHealth careeHealthHealth professionalsWearable computerHuman–computer interaction

K. A. U. Zaman, A. Islam, M. A. Sayed

Render Lighting Dataset: A Collection of Rendered Images with Varied Lighting Conditions using Blender Render Engines

Data in Brief, 2024 54, pp. 110331, 2024

Journal ArticleDOI URL

Rendering (computer graphics)Computer scienceComputer graphics (images)Global illuminationOvercastReal-time renderingGraphicsArtificial intelligenceComputer graphicsComputer vision3D renderingSoftware rendering

Abu Musa Sakib, Sanzar Adnan Alam, Ashraful Islam

User-Centered Design and Validation of mHealth App for Providing Vital Assistance and Emergency Healthcare Support in Bangladesh

6th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, pp. 1-6, 2024

Conference PaperDOI URL

mHealthHealth careComputer scienceUser-centered designMobile appsInternet privacy

Sarah Binte Mahbub, Nafis Islam, Mehedi Hasan Surem, Ayatullah Arefin, Md Rashid Shabab, Ashraful Islam

GorbhoKotha: a mHealth App for Maternal Support in Bangladesh Utilizing User-Centered Design Principles

6th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, pp. 1-6, 2024

Conference PaperDOI URL

mHealthComputer scienceUser-centered designHuman–computer interaction

K. A. U. Zaman, A. Islam, M. A. Sayed

Dataset of computer science course queries from students: Categorized and scored according to Bloom’s taxonomy

Data in Brief, 2024 53, pp. 110109, 2024

Journal ArticleDOI URL

Taxonomy (biology)Course (navigation)Computer scienceBloomInformation retrievalData science

A. Islam, E. Ahmed, M. Zaman, F. H. Rangon, M. A. Amin, R. Islam

Assessing Early Stage Design of a mHealth App for Gestational Diabetes Mellitus Management in Bangladeshi Women

Diabetes Research and Clinical Practice (DRCP), 2024 209, pp. 111502, 2024

Conference PaperDOI URL

MedicineGestational diabetesDiabetes mellitusmHealthStage (stratigraphy)ObstetricsMobile appsGestationGerontologyPregnancy

Md. Safirur Rashid, Md. Samin Morshed, Muhammad Usama Islam, Sami Rashid, Asif Mahmud, Ashraful Islam

Mycological Examination of Microscopic Fungi Images with Deep Learning and Gradient Weighted Class Activation Mapping Visualization

IEEE 2024 International Advances in Science & Engineering Technology (ASET) Multi-Conferences, pp. 01-08, 2024

Conference PaperDOI URL

VisualizationComputer scienceClass (philosophy)Artificial intelligenceComputer visionPattern recognition (psychology)Computer graphics (images)