Md. Saef Ullah Miah
Orcid: 0000-0003-4587-4636Affiliations:
- University of Essex, School of Mathematics, Statistics and Actuarial Science, Colchester, UK
- Multimedia University, Faculty of Engineering and Technology (FET), Malacca, Malaysia
- Universiti Malaysia Pahang, Kuantan, Pahang, Malaysia
According to our database1,
Md. Saef Ullah Miah
authored at least 29 papers
between 2014 and 2025.
Collaborative distances:
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Bibliography
2025
DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI.
CoRR, June, 2025
REDf: a deep learning model for short-term load forecasting to facilitate renewable integration and attaining the SDGs 7, 9, and 13.
PeerJ Comput. Sci., 2025
Biomed. Signal Process. Control., 2025
IEEE Access, 2025
Optimized Machine Learning Models and Stacking Hybrid Approach for Chronic Kidney Disease Prediction.
Proceedings of the Artificial Intelligence Applications and Innovations, 2025
2024
Priority based job scheduling technique that utilizes gaps to increase the efficiency of job distribution in cloud computing.
Sustain. Comput. Informatics Syst., January, 2024
Explainable Federated Stacking Models with Encrypted Gradients for Secure Kidney Medical Imaging Diagnosis.
Proceedings of the Neural Information Processing - 31st International Conference, 2024
Explainable AI in Feature Selection: Improving Classification Performance on Imbalanced Datasets.
Proceedings of the Neural Information Processing - 31st International Conference, 2024
Analysing the Efficacy of UML in Explaining Object-Oriented Concepts to Undergraduate Computer Science Students.
Proceedings of the 13th IEEE International Conference on Engineering Education, 2024
Proceedings of the 3rd International Conference on Computing Advancements, 2024
Uncovering Hidden Realities of Child Labor Abuse in Egyptian Workplaces with Machine Learning and Explainable AI.
Proceedings of the 3rd International Conference on Computing Advancements, 2024
Advancing Mental Health Problems with Machine Learning and Genetic Algorithms for Anxiety Classification in Bangladeshi University Students.
Proceedings of the Brain Informatics - 17th International Conference, 2024
Proceedings of the Big Data and Artificial Intelligence - 12th International Conference, 2024
2023
Predicting Short Term Energy Demand in Smart Grid: A Deep Learning Approach for Integrating Renewable Energy Sources in Line with SDGs 7, 9, and 13.
CoRR, 2023
IEEE Access, 2023
Understanding the Dynamics of Dengue in Bangladesh: EDA, Climate Correlation, and Predictive Modeling.
Proceedings of the IEEE Region 10 Conference, 2023
Medical Named Entity Recognition (MedNER): A Deep Learning Model for Recognizing Medical Entities (Drug, Disease) from Scientific Texts.
Proceedings of the 20th IEEE International Conference on Smart Technologies, 2023
Target and Precursor Named Entities Recognition from Scientific Texts of High-Temperature Steel Using Deep Neural Network.
Proceedings of the Database and Expert Systems Applications, 2023
2022
Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word embedding.
PeerJ Comput. Sci., 2022
Application of machine learning algorithms to predict the thyroid disease risk: an experimental comparative study.
PeerJ Comput. Sci., 2022
Material Named Entity Recognition (MNER) for Knowledge-Driven Materials Using Deep Learning Approach.
TCCE, 2022
An automated monitoring and environmental control system for laboratory-scale cultivation of oyster mushrooms using the Internet of Agricultural Thing (IoAT).
Proceedings of the ICCA 2022: 2nd International Conference on Computing Advancements, Dhaka, Bangladesh, March 10, 2022
Proceedings of the ICCA 2022: 2nd International Conference on Computing Advancements, Dhaka, Bangladesh, March 10, 2022
2021
Study of Keyword Extraction Techniques for Electric Double-Layer Capacitor Domain Using Text Similarity Indexes: An Experimental Analysis.
Complex., 2021
Recommending Research Articles: A Multi-Level Chronological Learning-Based Approach Using Unsupervised Keyphrase Extraction and Lexical Similarity Calculation.
IEEE Access, 2021
2020
Location, Context and Device aware Framework (LCDF): A unified Framework for Mobile Data Management.
Proceedings of the ICCA 2020: International Conference on Computing Advancements, 2020
Proceedings of the ICCA 2020: International Conference on Computing Advancements, 2020
2014
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014