[HTML][HTML] A machine learning approach for micro-credit scoring

A Ampountolas, T Nyarko Nde, P Date… - Risks, 2021 - mdpi.com
In micro-lending markets, lack of recorded credit history is a significant impediment to
assessing individual borrowers' creditworthiness and therefore deciding fair interest rates …

Evaluation of students' performance during the academic period using the XG-Boost Classifier-Enhanced AEO hybrid model

B Cheng, Y Liu, Y Jia - Expert Systems with Applications, 2024 - Elsevier
The proactive prediction and systematic classification of students' academic performance
empower educational administrators with the invaluable capability to not only pinpoint …

Deep feature-based three-stage detection of banknotes and coins for assisting visually impaired people

C Park, SW Cho, NR Baek, J Choi, KR Park - IEEE Access, 2020 - ieeexplore.ieee.org
Owing to the rapid advancements in smartphone technology, there is an emerging need for
a technology that can detect banknotes and coins to assist visually impaired people using …

Skin cancer detection and classification based on differential analyzer algorithm

U Saghir, M Hasan - Multimedia Tools and Applications, 2023 - Springer
Skin cancer is one of the world's scariest diseases, having taken the lives of thousands of
people. It can be treated if diagnosed at the right time. According to WHO, every year …

Data analytics for leak detection in a subcritical boiler

N Indrawan, LJ Shadle, RW Breault, R Panday… - Energy, 2021 - Elsevier
For decades, boiler leaks have been the leading cause of forced outages in the coal-fired
unit. The leak occurrences are currently escalating since the existing plants must satisfy …

BotEye: Botnet detection technique via traffic flow analysis using machine learning classifiers

J Yadav, J Thakur - 2020 Sixth International Conference on …, 2020 - ieeexplore.ieee.org
Botnet is a prevalent threat among the Internet that always keep on proliferating. They can
mow down an entire network within a blink of an eye. Different detection techniques have …

Enhanced denoising autoencoder-aided bad data filtering for synchrophasor-based state estimation

G Tian, Y Gu, Z Yu, Q Zhang, D Shi… - CSEE Journal of …, 2021 - ieeexplore.ieee.org
Due to its high accuracy and ease of calculation, synchrophasor-based linear state
estimation (LSE) has attracted a lot of attention in the last decade and has formed the …

Permission-based classification of Android malware applications using random forest

N Chrysikos, P Karampelas… - Proceedings of the …, 2023 - books.google.com
Android is arguably the most widely used mobile operating system in the world. Due to its
widespread use, it has attracted a lot of attention of cybercriminals who attempt to exploit its …

A statistical analysis of lazy classifiers using canadian institute of cybersecurity datasets

R Panigrahi, S Borah - Advances in Data Science and Management …, 2020 - Springer
Lazy classifiers are the local learner, where the model is built only when the test instances
are present at hand. In this paper, five lazy learners are explored using ISCXIDS2012 and …

[PDF][PDF] Analisis Faktor yang Mempengaruhi Risiko Gagal Bayar Debitur pada Lembaga Keuangan Mikro Menggunakan Regresi Logistik dan Ant Colony Optimization …

R Hadiantini, AN Retnowati - KUBIK: Jurnal Publikasi Ilmiah …, 2022 - academia.edu
Paper ini bertujuan untuk melakukan analisis faktor-faktor yang mempengaruhi risiko gagal
bayar dari calon debitur. Metode yang digunakan adalah regresi logistic dan Ant Colony …