High speed data retrieval from national data center (ndc) reducing time and ignoring spelling error in search key based on double metaphone algorithm. - Md. Palash Uddin; Ashfaque Ahmed; Md. Delowar Hossain; Masud Ibn Afjal; Shah Md. Tanvir Siddiquee (CoRR, 2014)

Band reordering heuristics for lossless satellite image compression with 3D-CALIC and CCSDS. - Masud Ibn Afjal; Md. Al Mamun; Md. Palash Uddin (J. Vis. Commun. Image Represent., 2019)

Mutual Information Driven Federated Learning. - Md. Palash Uddin; Yong Xiang 001; Xuequan Lu; John Yearwood; Longxiang Gao (IEEE Trans. Parallel Distributed Syst., 2021)

Segmented-Incremental-PCA for Hyperspectral Image Classification. - Shabbir Ahmed; Md. Moshiur Rahman; Md. Shahriar Haque; Md Abu Marjan; Md. Palash Uddin; Masud Ibn Afjal (MIET (2), 2022)

Effective Feature Extraction via Folded-Sparse-PCA for Hyperspectral Image Classification. - Md. Hasanul Bari; Tanver Ahmed; Masud Ibn Afjal; Adiba Mahjabin Nitu; Md. Palash Uddin; Md Abu Marjan (MIET (2), 2022)

Segmented-Truncated-SVD for Effective Feature Extraction in Hyperspectral Image Classification. - Md. Moshiur Rahman; Shabbir Ahmed; Md. Shahriar Haque; Md Abu Marjan; Masud Ibn Afjal; Md. Palash Uddin (MIET (2), 2022)

Effective Feature Extraction via Segmented t-Stochastic Neighbor Embedding for Hyperspectral Image Classification. - Tanver Ahmed; Md. Hasanul Bari; Masud Ibn Afjal; Adiba Mahjabin Nitu; Md. Palash Uddin; Md Abu Marjan (TCCE, 2022)

A Network Theory Investigation into the Altered Resting State Functional Connectivity in Attention-Deficit Hyperactivity Disorder. - Sadi Md. Redwan; Md. Palash Uddin; Muhammad Imran Sharif 001; Anwaar Ulhaq (CoRR, 2022)

A lightweight 3D-2D convolutional neural network for spectral-spatial classification of hyperspectral images. - Md. Rakibul Haque; Sadia Zaman Mishu; Md. Palash Uddin; Md. Al Mamun (J. Intell. Fuzzy Syst., 2022)

Robust Federated Averaging via Outlier Pruning. - Md. Palash Uddin; Yong Xiang 001; John Yearwood; Longxiang Gao (IEEE Signal Process. Lett., 2022)

A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders. - S. M. Mahedy Hasan; Md. Palash Uddin; Md. Al Mamun; Muhammad Imran Sharif 001; Anwaar Ulhaq; Govind Krishnamoorthy (IEEE Access, 2023)

Power Spectral Density-Based Resting-State EEG Classification of First-Episode Psychosis. - Sadi Md. Redwan; Md. Palash Uddin; Anwaar Ulhaq; Muhammad Imran Sharif 001 (CoRR, 2023)

Human Gait Recognition using Deep Learning: A Comprehensive Review. - Muhammad Imran Sharif 001; Mehwish Mehmood; Muhammad Irfan Sharif; Md. Palash Uddin (CoRR, 2023)

Blockchain-enabled Federated Learning: A Survey. - Youyang Qu; Md. Palash Uddin; Chenquan Gan; Yong Xiang 001; Longxiang Gao; John Yearwood (ACM Comput. Surv., 2023)

Federated Learning via Disentangled Information Bottleneck. - Md. Palash Uddin; Yong Xiang 001; Xuequan Lu; John Yearwood; Longxiang Gao (IEEE Trans. Serv. Comput., 2023)

Mutual Information-Driven Feature Reduction for Hyperspectral Image Classification. - Md. Rashedul Islam; Boshir Ahmed; Md. Ali Hossain; Md. Palash Uddin (Sensors, 2023)

Hyperspectral Image Classification via Information Theoretic Dimension Reduction. - Md. Rashedul Islam; Ayasha Siddiqa; Masud Ibn Afjal; Md. Palash Uddin; Anwaar Ulhaq (Remote. Sens., 2023)

An Educational Data Mining System For Predicting And Enhancing Tertiary Students' Programming Skill. - Md Abu Marjan; Md. Palash Uddin; Masud Ibn Afjal (Comput. J., 2023)

A Deep Learning-Based Hyperspectral Object Classification Approach via Imbalanced Training Samples Handling. - Md. Touhid Islam; Md. Rashedul Islam; Md. Palash Uddin; Anwaar Ulhaq (Remote. Sens., 2023)

An IoT-Enabled Ground Loop Detection System: Design, Implementation and Testing. - Md Saifur Rahman 002; Md. Palash Uddin; Sikyung Kim (J. Circuits Syst. Comput., 2023)

An Educational Data Mining System for Predicting Students' Programming Performance. - Md. Rashedul Islam; Adiba Mahjabin Nitu; Md. Abdulla Al Mamun; Md Abu Marjan; Md. Palash Uddin; Masud Ibn Afjal (J. Inf. Hiding Multim. Signal Process., 2023)

Empirical curvelet transform based deep DenseNet model to predict NDVI using RGB drone imagery data. - Mohammed Diykh; Mumtaz Ali; Mehdi Jamei; Shahab A. Abdulla; Md. Palash Uddin; Aitazaz A. Farooque; Abdulhaleem H. Labban; Hussein Alabdally (Comput. Electron. Agric., 2024)

FedAT: Federated Adversarial Training for Distributed Insider Threat Detection. - R. G. Gayathri; Atul Sajjanhar; Md. Palash Uddin; Yong Xiang 001 (CoRR, 2024)

Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets. - Mahmudul Hasan 018; Md Abdus Sahid; Md. Palash Uddin; Md Abu Marjan; Seifedine Kadry 001; Jungeun Kim (PeerJ Comput. Sci., 2024)

Adaptive Regularization and Resilient Estimation in Federated Learning. - Md. Palash Uddin; Yong Xiang 001; Yao Zhao; Mumtaz Ali; Yushu Zhang 001; Longxiang Gao (IEEE Trans. Serv. Comput., 2024)

Winning at the Starting Line: Unreliable Data Replica Selection for Edge Data Integrity Verification. - Yao Zhao; Youyang Qu; Yong Xiang 001; Feifei Chen 001; Md. Palash Uddin; Longxiang Gao (IEEE Trans. Serv. Comput., 2024)

Spectrally Segmented-Enhanced Neural Network for Precise Land Cover Object Classification in Hyperspectral Imagery. - Md. Touhid Islam; Md. Rashedul Islam; Md. Palash Uddin; Anwaar Ulhaq (Remote. Sens., 2024)

ARFL: Adaptive and Robust Federated Learning. - Md. Palash Uddin; Yong Xiang 001; Borui Cai; Xuequan Lu; John Yearwood; Longxiang Gao (IEEE Trans. Mob. Comput., 2024)

Improving Hyperspectral Image Classification with Compact Multi-Branch Deep Learning. - Md. Rashedul Islam; Md. Touhid Islam; Md. Palash Uddin; Anwaar Ulhaq (Remote. Sens., 2024)

A federated compositional knowledge graph embedding for communication efficiency. - Zihao Zheng; Borui Cai; Yong Xiang 001; Yao Zhao; Md. Palash Uddin; Keshav Sood (Knowl. Based Syst., 2025)

Trustworthy and Fair Federated Learning via Reputation-Based Consensus and Adaptive Incentives. - Md. Mamunur Rashid; Yong Xiang 001; Md. Palash Uddin; Jine Tang; Keshav Sood; Longxiang Gao (IEEE Trans. Inf. Forensics Secur., 2025)

A Comprehensive Survey on Edge Data Integrity Verification: Fundamentals and Future Trends. - Yao Zhao; Youyang Qu; Yong Xiang 001; Md. Palash Uddin; Dezhong Peng; Longxiang Gao (ACM Comput. Surv., 2025)

Multiple Edge Data Integrity Verification With Multi-Vendors and Multi-Servers in Mobile Edge Computing. - Md. Rashedul Islam; Yong Xiang 001; Md. Palash Uddin; Yao Zhao; Jonathan Kua; Longxiang Gao (IEEE Trans. Mob. Comput., 2025)

A Systematic Literature Review of Robust Federated Learning: Issues, Solutions, and Future Research Directions. - Md. Palash Uddin; Yong Xiang 001; Mahmudul Hasan 018; Jun Bai; Yao Zhao; Longxiang Gao (ACM Comput. Surv., 2025)