[HTML][HTML] Effects of co-curricular activities on student's academic performance by machine learning

SR Rahman, MA Islam, PP Akash, M Parvin… - Current Research in …, 2021 - Elsevier
The study project named" Effects of Co-Curricular Activities on Student's Academic
Performance Through Machine Learning" examines the effect of co-curricular activities on a …

Advancing OCR Accuracy in Image-to-LaTeX Conversion—A Critical and Creative Exploration

EZ Orji, A Haydar, İ Erşan, OO Mwambe - Applied Sciences, 2023 - mdpi.com
This paper comprehensively assesses the application of active learning strategies to
enhance natural language processing-based optical character recognition (OCR) models for …

Predicting satisfaction of online banking system in Bangladesh by machine learning

SF Shetu, I Jahan, MM Islam… - 2021 International …, 2021 - ieeexplore.ieee.org
Online banking refers to using your smartphone, tablet, or another internet-connected
computer to browse and access your bank account. It is quick and free, and it usually allows …

[PDF][PDF] Breast cancer disease classification using fuzzy-ID3 algorithm based on association function

NF Idris, MA Ismail, MS Mohamad… - … Journal of Artificial …, 2022 - researchgate.net
Breast cancer is the second leading cause of mortality among female cancer patients
worldwide. Early detection of breast cancer is considerd as one of the most effective ways to …

[PDF][PDF] Analysis of student sentiment during video class with multi-layer deep learning approach

I Salehin, NN Moon, IM Talha, MM Hasan… - International Journal of …, 2022 - academia.edu
The modern education system is an essential part of the rise of technology. The E-learning
education system is not just an experimental system; it is a vital learning system for the …

[PDF][PDF] Enhancing multi-class web video categorization model using machine and deep learning approaches

WM Yafooz, A Alsaeedi, R Alluhaibi… - Int. J. Electr. Comput …, 2022 - academia.edu
With today's digital revolution, many people communicate and collaborate in cyberspace.
Users rely on social media platforms, such as Facebook, YouTube and Twitter, all of which …

[PDF][PDF] Classification of six banana ripeness levels based on statistical features on machine learning approach

R Kosasih, S Sudaryanto, A Fahrurozi - International Journal of …, 2023 - academia.edu
Banana plants are often cultivated because they have many benefits. In producing, we need
to maintain the quality of bananas by looking at banana ripeness levels before being …

Automated Youtube Video Transcription To Summarized Text Using Natural Language Processing

P Nagaraj, V Muneeswaran, B Rohith… - 2023 International …, 2023 - ieeexplore.ieee.org
This paper proposes video transcription using python language. With the adding quantum of
videotape data generated every day, it has come important to epitomize the videos for faster …

A computer vision system for the categorization of citrus fruits using convolutional neural network

MM Hasan, I Salehin, NN Moon… - … on Electronics and …, 2021 - ieeexplore.ieee.org
The recognition of citrus fruit is one of the most challenging and crucial measures in citrus
yield mapping. Several artificial vision systems have been proposed to solve the issue of …

[PDF][PDF] Automatic construction of generic stop words list for Hausa text

AA Bichi, R Samsudin, R Hassan - Indonesian Journal of Electrical …, 2022 - eprints.utm.my
Stop-words are words having the highest frequencies in a document without any significant
information. They are characterized by having common relations within a cluster. They are …