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Now showing items 211-220 of 237
Improving Machine Learning Methods for Handling Data Imbalance Problem
(2022-07)
Class unbalanced datasets are widespread in various fields, including health, security, and banking. When dealing with imbalanced datasets, a standard supervised learning algorithm is biased toward the dominant class. In ...
Building Resource Aware Self-Healing Modern Cloud Native Environment on Commodity Hardware for Adoption of Microservice Architecture
(UIU, 2022-09-28)
Years ago, even today most of the applications were developed and architected in
old school monolithic approach where each of the components of the software are tightly
coupled; running on a single process or multiple ...
Accurately Predicting Microbial Phosphorylation Sites Using Evolutionary and Structural Features
(2022-11-11)
Post-translational modification (PTM) is a biological process involving a protein’s enzymatic changes after its translation by the ribosome. Phosphorylation is one of the most critical PTMs that occurs when a phosphate ...
A New Methodology for Predicting Teachers' Job Satisfaction Using Machine Learning Approaches - Bangladesh Perspective
(2022-12-17)
Shortage of qualified teachers and higher turnover rates have far-reaching negative effects on students' achievement and overall educational quality. Since satisfied teachers are less likely to quit their jobs and are more ...
Intelligent Financial Portfolio Construction: Machine Learning Based Optimization
(United International University, 2023-01-15)
Investors have always been highly interested about stock price forecasting. It’s observed
that lower middle-income people and middle-income people can contribute only 10-15%
of their wages in investment. Machine Learning ...
Interest Forwarding Strategy in Named Data Networks using Thompson Sampling
(United International University, 2023-01-18)
Optimizing Interest forwarding and Data delivery has been among
the top dissected problems in NDN for the last decade; however, only
a few contributions thrive to minimize communication cost and delay
concurrently. In ...
Pattern Mining From Unlabeled News Article Dataset Using Semi-Supervised Learning
(2023-03-11)
Text classification is one of the prominent tasks in the field of Natural language Processing as day by day the amount of textual data is growing rapidly, Therefore it is an emergent demand to build some kind of knowledge ...
Prediction of Protein methylation sites of lysine residues using machine learning algorithms
(2023-03-11)
Post Translational Modification (PTM) plays an essential role in the biological and molecular mechanisms. They are also considered as a vital element in cell signaling and networking pathways. Among different PTMs, Methylation ...
Identification of Opioid Patients by Employing Structured and Unstructured Data from MIMIC-III Database
(UIU, 2023-05-20)
The opioid crisis has led to an increased number of drug overdoses in recent years. Several approaches have been established to predict opioid prescription by health practitioners. However, due to the complex nature of the ...