SecureIT using Firebase, Google map and Node.Js. - Shanta Khatun; Fahim Hossain Saiki; Milon Biswas (CoRR, 2020)

COVID-19 Detection Using Chest X-Ray Images with a RegNet Structured Deep Learning Model. - Md. Kawsher Mahbub; Milon Biswas; Abdul Mozid Miah; Ahmed Shahabaz; M. Shamim Kaiser (AII, 2021)

An XAI Based Autism Detection: The Context Behind the Detection. - Milon Biswas; M. Shamim Kaiser; Mufti Mahmud; Shamim Al Mamun; Mohammad Shahadat Hossain; Muhammad Arifur Rahman (BI, 2021)

Indoor Navigation Support System for Patients with Neurodegenerative Diseases. - Milon Biswas; Ashiqur Rahman; M. Shamim Kaiser; Shamim Al Mamun; K. Shayekh Ebne Mizan; Mohammad Shahidul Islam; Mufti Mahmud (BI, 2021)

DRLAS: Digital Record Keeping in Land Administration System Relying on Blockchain. - Milon Biswas; Tajim Md. Niamat Ullah Akhund; M. Shamim Kaiser (ICICT (3), 2021)

An Enhanced Deep Convolution Neural Network Model to Diagnose Alzheimer's Disease Using Brain Magnetic Resonance Imaging. - Milon Biswas; Md. Kawsher Mahbub; Md. Abdul Mozid Miah (RTIP2R, 2021)

Deep Neural Networks for Brain Tumor Detection from MRI Images. - Md. Kawsher Mahbub; Milon Biswas; Md. Abdul Mozid Miah; M. Shamim Kaiser (TCCE, 2021)

LCADP: a Low-Cost Accident Detection Prototype for a Vehicular Ad Hoc Network. - Md. Julkar Nayeen Mahi; Sudipto Chaki; Shamim Ahmed; Iffat Tamanna; Milon Biswas (TCCE, 2021)

Indoor Positioning and Navigation Using Bluetooth Low Energy and Cloud Service in Healthcare Perspective. - K. Shayekh Ebne Mizan; M. Shamim Kaiser; Shamim Al Mamun; Milon Biswas; Nusrat Zerin Zenia; Mufti Mahmud; Abzetdin Z. Adamov (AII, 2022)

MobApp4InfectiousDisease: Classify COVID-19, Pneumonia, and Tuberculosis. - Md. Kawsher Mahbub; Md. Zakir Hossain Zamil; Md. Abdul Mozid Miah; Partho Ghose; Milon Biswas; KC Santosh (CBMS, 2022)

Towards a Digital Twin Integrated DLT and IoT-Based Automated Healthcare Ecosystem. - Prodipta Promit Mukherjee; Maharin Afroj; Sohaima Hossain; Milon Biswas (RTIP2R, 2022)

Autism Spectrum Disorder Detection Using Transfer Learning with VGG 19, Inception V3 and DenseNet 201. - Md. Fazlay Rabbi; Fatema Tuz Zohra; Farhana Hossain; Naznin Nahar Akhi; Shakil Khan; Md. Kawsher Mahbub; Milon Biswas (RTIP2R, 2022)

Light Convolutional Neural Network to Detect Eye Diseases from Retinal Images: Diabetic Retinopathy and Glaucoma. - Milon Biswas; Sudipto Chaki; Saurav Mallik; Loveleen Gaur; Kanad Ray (TCCE, 2022)

A Review on VANET Research: Perspective of Recent Emerging Technologies. - Md. Julkar Nayeen Mahi; Sudipto Chaki; Shamim Ahmed; Milon Biswas; M. Shamim Kaiser; Mohammad Shahidul Islam; Mehdi Sookhak; Alistair Barros; Md Whaiduzzaman (IEEE Access, 2022)

Deep features to detect pulmonary abnormalities in chest X-rays due to infectious diseaseX: Covid-19, pneumonia, and tuberculosis. - Md. Kawsher Mahbub; Milon Biswas; Loveleen Gaur; Fayadh Alenezi; KC Santosh (Inf. Sci., 2022)

BrainSegNeT: A Lightweight Brain Tumor Segmentation Model Based on U-Net and Progressive Neuron Expansion. - Partho Ghose; Milon Biswas; Loveleen Gaur (BI, 2023)

SMLBT: secure machine learning and blockchain-based telemedicine model for the remote areas of developing countries. - Milon Biswas; Atanu Shome; Prodipta Promit Mukherjee; Loveleen Gaur; Zhongming Zhao (Int. J. Comput. Biol. Drug Des., 2023)

Explainable AI assisted heart disease diagnosis through effective feature engineering and stacked ensemble learning. - Partho Ghose; Khondokar Oliullah; Md. Kawsher Mahbub; Milon Biswas; Kazi Nur Uddin; Hasan M. Jamil (Expert Syst. Appl., 2025)

Navigating Challenges and Harnessing Opportunities: Deep Learning Applications in Internet of Medical Things. - John Mulo; Hengshuo Liang; Mian Qian; Milon Biswas; Bharat S. Rawal; Yifan Guo 001; Wei Yu 002 (Future Internet, 2025)

Survey of Artificial Intelligence Model Marketplace. - Mian Qian; Abubakar Ahmad Musa; Milon Biswas; Yifan Guo 001; Weixian Liao; Wei Yu 002 (Future Internet, 2025)