Machine learning in bioinformatics: new technique for DNA sequencing classification

S Sarkar, K Mridha, A Ghosh, RN Shaw - Advanced Computing and …, 2022 - Springer
The extraction of useful information from deoxyribonucleic acid (DNA) is a major component
of bioinformatics research, and DNA sequence categorization has a variety of applications …

Short-Term Electricity Consumption Forecasting: Time-Series Approaches

E Saha, R Saha, K Mridha - 2022 10th International …, 2022 - ieeexplore.ieee.org
The power system is becoming smarter and more flexible as science and technology
improve, and the way people use electrical power in their everyday lives is changing. The …

Comparing ANOVA and PowerShap Feature Selection Methods via Shapley Additive Explanations of Models of Mental Workload Built with the Theta and Alpha EEG …

B Raufi, L Longo - BioMedInformatics, 2024 - mdpi.com
Background: Creating models to differentiate self-reported mental workload perceptions is
challenging and requires machine learning to identify features from EEG signals. EEG band …

ML-DP: a smart emotion detection system for disabled person to develop a smart city

K Mridha, MDI Islam, MM Shorna… - 2022 10th International …, 2022 - ieeexplore.ieee.org
A disability is one of the main issues that has presented and continues to present difficulties.
Disability has been and continues to be a source of frustration since it is viewed as a …

Diabetes Prediction Using Machine Learning Techniques

S Simanto, K Mridha, R Saha, M Limbu… - … : Proceedings of ICACIT …, 2022 - Springer
Abstract “A metabolic disease that induces elevated blood sugar is diabetes mellitus, also
known as diabetes”. We all know that a hormone typically moves through the blood to our …

Machine learning algorithms for predicting the graduation admission

K Mridha, S Jha, B Shah, P Damodharan… - … Conference on Electrical …, 2022 - Springer
With the rise in the number of graduates wishing to continue their education, it has become
more difficult for students to gain admission to their desired university. Typically, newly …

U-net for medical imaging: a novel approach for brain tumor segmentation

K Mridha, S Simanta, M Limbu - Global Journal of Innovation and …, 2022 - iet.adsrs.net
In medical imaging, brain tumor segmentation is critical. The segmentation of a brain tumor
might be done manually or automatically. Finding anomalies in magnetic resonance …

Effects of Sampling Length and Overlap Ratio on EEG Mental Arithmetic Task Performance: A Comparative Study

S Oran, E Yıldırım - Gazi University Journal of Science - dergipark.org.tr
Cognitive tasks have become quite popular in recent years. Understanding this sort of
neurological research, its real-world applications, and how it may be improved in future …