Student satisfaction and churn predicting using machine learning algorithms for EdTech course

R Paul, MR Rashmi - 2022 10th International Conference on …, 2022 - ieeexplore.ieee.org
EdTech courses are believed to provide industry-oriented practical skills to the students to
bridge the gap between academics and the industry. They also provide supporting …

APMWMM: Approach to Probe Malware on Windows Machine using Machine Learning

P Tumuluru, LR Burra, MVV Reddy… - … on Applied Artificial …, 2022 - ieeexplore.ieee.org
The popularity of Windows gadgets is growing as well and are more defenseless to malware
attacks. This venture proposes a modern imaging strategy to identify malware viably by …

An Extensive Review and Comparison of Different Machine Learning Algorithms for Customer Behaviour Pattern Analysis

S Garg, P Ajmani, T Singh, D Aggarwal… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
Consumer shopping behavior is changing due to the explosive growth of e-commerce,
which brings both benefits and challenges. E-commerce enterprises must comprehend the …

Machine Learning Algorithms based Student Performance Prediction based on Previous Records

S Chandrahasa, SMS Ganeshan… - 2023 7th …, 2023 - ieeexplore.ieee.org
Predicting a student's grade has become increasingly important in order to determine
whether or not the student will be placed In order to develop after this and obtain better …

Machine Learning for an Enhanced Credit Risk Analysis: A Comparative Study of Loan Approval Prediction Models Integrating Mental Health Data

A Alagic, N Zivic, E Kadusic, D Hamzic… - Machine Learning and …, 2024 - mdpi.com
The number of loan requests is rapidly growing worldwide representing a multi-billion-dollar
business in the credit approval industry. Large data volumes extracted from the banking …

Predictive analysis of loan data using machine learning

P Hegde, C Shetty, N Rashmi… - … Intelligence and Data …, 2022 - ieeexplore.ieee.org
For banks and other financial institutions, loans are the primary source of income. As a
result, a variety of loan types are offered depending on certain limitations. Banks face …

SMS: SIGNS MAY SAVE–Traffic Sign Recognition and Detection using CNN

P Tumuluru, LR Burra, N Sunanda… - 2022 6th …, 2022 - ieeexplore.ieee.org
Traffic sign classification automatically detects roadside traffic signs, such as speed limit
signs, yield signs, etc. Automatically recognizing traffic signs enables the development of …

Feature selection in P2P lending based on hybrid genetic algorithm with machine learning

M Sam'an, M Munsarif, Safuan… - International Journal of …, 2023 - Taylor & Francis
The emergence of online lending services such as peer-to-peer (P2P) lending has simplified
transactions for lenders, eliminating the need for traditional bank intermediaries. However …

Prediction of Home Loan Approval with Machine Learning

G Güder, U Köse - Advances in Artificial Intelligence Research, 2024 - dergipark.org.tr
With the introduction of computers into our lives, the size and complexity of data have
increased. The growing amount of data made manual processing more difficult, and …

Combining Multi-Features for Lung Cancer Detection in Computed Tomography Images: A Feature Fusion Model

P Tumuluru, LR Burra, J Vamsinath… - … Computing and Data …, 2023 - ieeexplore.ieee.org
Lung cancer is a leading cause of cancer-related deaths worldwide, emphasizing the
importance of early detection. Although Computed Tomography (CT) images are widely …