[HTML][HTML] Ensemble machine learning approach for quantitative structure activity relationship based drug discovery: A Review
This comprehensive review explores the pivotal role of ensemble machine learning
techniques in Quantitative Structure-Activity Relationship (QSAR) modeling for drug …
techniques in Quantitative Structure-Activity Relationship (QSAR) modeling for drug …
Credit Card Fraud Detection for Contemporary Financial Management Using XGBoost-Driven Machine Learning and Data Augmentation Techniques
The rise of digital transactions and electronic payment systems in modern financial
management has brought convenience but also the challenge of credit card fraud …
management has brought convenience but also the challenge of credit card fraud …
Machine learning approach for diabetes detection using fine-tuned XGBoost algorithm
A Maulana, FR Faisal, TR Noviandy… - Infolitika Journal of …, 2023 - heca-analitika.com
Diabetes is a chronic condition characterized by elevated blood glucose levels which leads
to organ dysfunction and an increased risk of premature death. The global prevalence of …
to organ dysfunction and an increased risk of premature death. The global prevalence of …
[HTML][HTML] Combination of PCA with LDA and SVM classifiers: a model for determining the geographical origin of coconut in the coastal plantation, Aceh Province …
Since Indonesia is the world's largest producer of coconuts, it is necessary to classify them
according to their chemical profiles. The examination of coconut endosperm from 13 districts …
according to their chemical profiles. The examination of coconut endosperm from 13 districts …
Enhancing loan approval decision-making: an interpretable machine learning approach using LightGBM for digital economy development
This study aims to enhance loan approval decision-making in the digital economy using an
interpretable machine learning approach. The primary research question investigates how …
interpretable machine learning approach. The primary research question investigates how …
QSAR-Based Stacked Ensemble Classifier for Hepatitis C NS5B Inhibitor Prediction
This study aims to develop a robust computational model for classifying potential Hepatitis C
Virus (HCV) NS5B inhibitors using Quantitative Structure-Activity Relationship (QSAR) …
Virus (HCV) NS5B inhibitors using Quantitative Structure-Activity Relationship (QSAR) …
Harnessing artificial intelligence for enhanced Parkinson's disease management: Pathways, treatment, and prospects
M Patwekar, F Patwekar… - Trends in …, 2023 - systems.enpress-publisher.com
Parkinson's disease (PD) is a neurodegenerative disorder characterized by the
accumulation of misfolded proteins and impaired protein degradation mechanisms …
accumulation of misfolded proteins and impaired protein degradation mechanisms …
[PDF][PDF] Classifying Beta-Secretase 1 Inhibitor Activity for Alzheimer's Drug Discovery with LightGBM
This study explores the utilization of LightGBM, a gradient-boosting framework, to classify
the inhibitory activity of beta-secretase 1 inhibitors, addressing the challenges of Alzheimer's …
the inhibitory activity of beta-secretase 1 inhibitors, addressing the challenges of Alzheimer's …
ANFIS-Based QSRR Modelling for Kovats Retention Index Prediction in Gas Chromatography
This study aims to evaluate the implementation and effectiveness of the Adaptive Neuro-
Fuzzy Inference System (ANFIS) based Quantitative Structure Retention Relationship …
Fuzzy Inference System (ANFIS) based Quantitative Structure Retention Relationship …
[HTML][HTML] Ecotoxicological insight of phytochemicals, toxicological informatics, and heavy metal concentration in Tridax procumbens L. in geothermal areas
BACKGROUND AND OBJECTIVES: Tridax procumbens L. is a plant that grows abundantly
in the Ie-Seu'um geothermal area in Aceh Province, Indonesia. The objective of this study is …
in the Ie-Seu'um geothermal area in Aceh Province, Indonesia. The objective of this study is …