A concatenated coded modulation scheme for spread spectrum multiple access system. - Md Anisur Rahman; K. M. S. Murthy; Tho Le-Ngoc; Ahmed K. Elhakeem (PIMRC, 1992)

Modified SUGAR/DS: A New CDMA Scheme. - Ahmed K. Elhakeem; Md Anisur Rahman; Premkumar Balasubramanian; Tho Le-Ngoc (IEEE J. Sel. Areas Commun., 1992)

Throughput analysis of the acquisitionless spread spectrum system in multiaccess and tone jamming environments. - Md Anisur Rahman; Ahmed K. Elhakeem (IEEE Trans. Commun., 1994)

Seed-Detective: A Novel Clustering Technique Using High Quality Seed for K-Means on Categorical and Numerical Attributes. - Md Anisur Rahman; Md Zahidul Islam 001 (AusDM, 2011)

CRUDAW: A Novel Fuzzy Technique for Clustering Records Following User Defined Attribute Weights. - Md Anisur Rahman; Md Zahidul Islam 001 (AusDM, 2012)

DenClust: A Density Based Seed Selection Approach for K-Means. - Md Anisur Rahman; Md Zahidul Islam 001; Terry Bossomaier (ICAISC (2), 2014)

A hybrid clustering technique combining a novel genetic algorithm with K-Means. - Md Anisur Rahman; Md Zahidul Islam 001 (Knowl. Based Syst., 2014)

ModEx and Seed-Detective: Two novel techniques for high quality clustering by using good initial seeds in K-Means. - Md Anisur Rahman; Md Zahidul Islam 001; Terry Bossomaier (J. King Saud Univ. Comput. Inf. Sci., 2015)

Unique Neighborhood Set Parameter Independent Density-Based Clustering With Outlier Detection. - Md Anisur Rahman; Kenneth Li-Minn Ang; Kah Phooi Seng (IEEE Access, 2018)

Application of a density based clustering technique on biomedical datasets. - Md Anisur Rahman; Md Zahidul Islam 001 (Appl. Soft Comput., 2018)

Combining K-Means and a genetic algorithm through a novel arrangement of genetic operators for high quality clustering. - Md Zahidul Islam 001; Vladimir Estivill-Castro; Md Anisur Rahman; Terry Bossomaier (Expert Syst. Appl., 2018)

Detection of Modulated Motor Cortex using Anodal and Cathodal TDCS based Neurofeedback. - Zarif Ahmed Chowdhury; Dewan Nahidul Alam; Md. Abu Fattah Hossain Bhuiyan Nahid; Md Anisur Rahman; Mohammad Zavid Parvez (ICMLC, 2020)

Detection of Brain Tumor and Identification of Tumor Region Using Deep Neural Network On FMRI Images. - Afsara Mashiat; Reza Rifat Akhlaque; Fahmeda Hasan Fariha; Md Tanzim Reza; Md Anisur Rahman; Mohammad Zavid Parvez (ICMLC, 2020)

Detection of Stress for Visually Impaired People Using EEG Signals Based on Time-Frequency Domain Analysis. - Samia Sultana; Md Anisur Rahman; Mohammad Zavid Parvez (ICMLC, 2020)

Consumer Behavior Analysis using EEG Signals for Neuromarketing Application. - Chowdhury Rabith Amin; Mirza Farhan Hasin; Tasin Shafi Leon; Abrar Bareque Aurko; Tasmi Tamanna; Md Anisur Rahman; Mohammad Zavid Parvez (SSCI, 2020)

A Novel Incremental Clustering Technique with Concept Drift Detection. - Mitchell D. Woodbright; Md Anisur Rahman; Md Zahidul Islam 001 (CoRR, 2020)

Clustering biomedical and gene expression datasets with kernel density and unique neighborhood set based vein detection. - Md Anisur Rahman; Li-Minn Ang; Kah Phooi Seng (Inf. Syst., 2020)

Gene Expression Data Classification and Pattern Analysis Using Data Driven Approach. - Aiman Jabeen Ramisa; Ananna Hossain; Sk Md Injamul Islam; Ponuel Mollah Swadesh; Md. Toushif Islam; Md Anisur Rahman; Mohammad Zavid Parvez (ICMLC, 2021)

Sentiment Analysis Framework Using Data Driven Approach. - Jahedul Islam; Shubiour Shuvo; Tonmoy Sarker; Mohammad Zavid Parvez; Md Anisur Rahman (ICDM (Workshops), 2021)

A Study on Reward and Punishment Learning Using A Data-Driven Approach. - Abu Md. Sadat; Farhana Binta Salim; Maria Islam Ema; Anita Mahmud Jhara; Mohammad Zavid Parvez; Md Anisur Rahman (SMC, 2021)

Data Convexity and Parameter Independent Clustering for Biomedical Datasets. - Md Anisur Rahman; Li-Minn Ang; Kah Phooi Seng (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Identification and prediction of phubbing behavior: a data-driven approach. - Md Anisur Rahman; Mirko Duradoni; Andrea Guazzini (Neural Comput. Appl., 2022)

Enhancing Cluster Quality of Numerical Datasets with Domain Ontology. - Sudath Rohitha Heiyanthuduwage; Md Anisur Rahman; Md Zahidul Islam 001 (CoRR, 2023)

PATHWiSE: An Authoring Tool to Support Teachers to Create Robot-Supported Social Learning Experiences During Homework. - Paul Hatch; Md Anisur Rahman; Joseph E. Michaelis (Proc. ACM Hum. Comput. Interact., 2023)

PATHWiSE: An AI-Assisted Teacher Authoring Tool for Creating Custom Robot-Assisted Learning Activities. - Md Anisur Rahman; Isaac Aurelio Felix; Usman Shahid; Joseph E. Michaelis (HRI (Companion), 2024)

AnoSegNet: Anomaly Detection and Segmentation Using Convolutional Neural Networks with Variational Autoencoders for Enhancing Industrial Quality Control. - Md Raisul Islam; Md. Zakir Hossain Zamil; Arifa Eva; Md Anisur Rahman; Md. Nahid Hasan; Md. Mohsin Kabir (ICCA, 2024)

Optimizing Magnetic Resonance Imaging Analysis for Brain Tumors: A Lightweight Neural Network Approach. - Md. Zakir Hossain Zamil; Md Raisul Islam; Md Anisur Rahman; Mumtahina Ahmed; Md. Nahid Hasan; Md. Mohsin Kabir (ICCA, 2024)

An Automated Identification Approach for Partial Discharge Detection Using Density-Based Clustering Without User Inputs. - Md Anisur Rahman; Li-Minn Ang; Kah Phooi Seng (IEEE Trans. Artif. Intell., 2024)

Mapping the patient journey: utilizing clinical informatics for a conceptual approach to identify aspects of emergency department access block. - Md Anisur Rahman; Derek Z. Lim; Michael Davoren; Ian Lok; Saifur Rahman; Peter Hough; Thanaa Mosa; Syeda Begum (Netw. Model. Anal. Health Informatics Bioinform., 2024)

Using data mining to discover new patterns of social media and smartphone use and emotional states. - Yeslam Al-Saggaf; Md Anisur Rahman; Uffe Kock Wiil (Soc. Netw. Anal. Min., 2024)

Three-layered location recommendation algorithm using spectral clustering. - Alireza Moayedikia; Hamed Jahani; Md Anisur Rahman; Kok-Leong Ong (Soc. Netw. Anal. Min., 2024)

Language Prediction of Twitch Streamers using Graph Convolutional Network. - Md. Nahid Hasan; Nakshi Saha; Md Anisur Rahman (IPAS, 2025)

Stroke Prediction on Healthcare Data Using SMOTE and Explainable Machine Learning. - Md. Zakir Hossain Zamil; Md Raisul Islam; Sajib Debnath; Md Tuhin Mia; Md Anisur Rahman; Arindam Kishor Biswas (ISDFS, 2025)

An ensemble based lightweight deep learning model for the prediction of cardiovascular diseases from electrocardiogram images. - Md. Nahid Hasan; Md. Ali Hossain; Md Anisur Rahman (Eng. Appl. Artif. Intell., 2025)

Advancements and challenges of deep learning architectures for aerial image analysis: A systematic review. - Hashibul Ahsan Shoaib; Hadiur Rahman Nabil; Md Anisur Rahman; Md. Mohsin Kabir; Muhammad Firoz Mridha; Jungpil Shin 001 (Intell. Syst. Appl., 2025)

A deep embedded clustering technique using dip test and unique neighbourhood set. - Md Anisur Rahman; Li-Minn Ang; Yuan Sun; Kah Phooi Seng (Neural Comput. Appl., 2025)

Designing and Deploying AI Models for Sustainable Logistics Optimization: A Case Study on Eco-Efficient Supply Chains in the USA. - Reza E. Rabbi Shawon; Md Rokibul Hasan; Md Anisur Rahman; Mohamed Ghandri; Iman Ahmed Lamari; Mohammed Kawsar; Rubi Akter (CoRR, 2025)