Abdullah Al Mamun

Research Interest

Publications

I have collaborated on research with three Professors over the last two years. IoT-based and machine learning knowledge are

built in my research area. Python, Ardunio, machine learning, and IoT work with me to develop my research knowledge.

During my university days, I developed supermarket billing system with C++, online voting system with python, e-commerce

website with web programming, prediction, accuracy, F1 score, precision, recall of various datasets based on Ml, PCA, LDA,

Image processing project in pattern recognition course.

Inclusion: Proficient in Python for machine learning algorithms, data analysis, and IoT device interaction.

[Collaborative Research]

I led a collaborative research project ,
➢ In my research world, my three papers and thesis simulations and writing contribution. Developed an IoT-based smart solar energy monitoring system for environmental sustainability to IoT, implementations and writing contribution. Developing an IoT-based Child Safety and Monitoring System: An Efficient Approach included active participation in all simulations and writing. Software Defects Identification: Results Using Machine Learning and Explainable Artificial Intelligence Techniques, defect diagrams,analysis, and writing were the contributions. Basically, I am actively leading the thesis at Enhancing DBSCAN Dynamically: A Novel Approach to Parameter Initialization and Outlier Reduction.

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