Results 131 to 140 of about 13,817 (251)

Discover Class‐Based Feature Distribution by Encoding Discrete Data for Classification

open access: yesExpert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT The self‐organisation map is an unsupervised learning technique that discovers patterns and relationships in data without requiring labelled training data. Inspired by the self‐organisation map, Self‐Organised Granular encoding has been shown to be effective for generating reliable discrete data clustering results as it is a data encoding ...
Qiang Fu   +3 more
wiley   +1 more source

Machine Learning‐Based Loan Approval Automation: Enhancing Efficiency, Accuracy and Fairness in Credit Decision‐Making

open access: yesExpert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT Traditional loan approval processes are manual, time‐consuming and susceptible to human bias. This research develops a machine learning‐based system to automate loan eligibility assessment while enhancing efficiency, accuracy and fairness in credit decision‐making. We developed and compared multiple supervised ML models—including Random Forest,
Mani Ghahremani   +3 more
wiley   +1 more source

Embedded CRISPRi Enhances Gene‐Silencing Efficiency in Drosophila

open access: yesAdvanced Science, Volume 13, Issue 31, 4 June 2026.
Current CRISPR interference (CRISPRi) technology in Drosophila has limited efficiency. This study introduces the emCRISPRi platform, which significantly enhances transcriptional silencing efficacy by embedding inhibitory domains within the dCas9 architecture.
Pengchong Fu   +7 more
wiley   +1 more source

Retrieval of rice biophysical parameters from Sentinel‑2 using parsimonious multi‑output machine learning

open access: yesAgrosystems, Geosciences &Environment, Volume 9, Issue 2, June 2026.
Abstract Rice (Oryza sativa L.) crop monitoring in Africa requires efficient retrieval of biophysical parameters such as leaf area index (LAI) and leaf chlorophyll content (LCC), which are essential for crop stress detection and nutrient management.
Joseph Kagotho Muriithi   +5 more
wiley   +1 more source

Advances and Challenges in Machine Learning‐based Image Analysis for Monitoring and Predicting Organic Crystal Formation

open access: yesAggregate, Volume 7, Issue 6, June 2026.
This review explores the application of machine learning‐based image analysis technology in four major organic crystallization tasks, providing a reference for subsequent research in the corresponding fields. ABSTRACT Manual crystallization experiments have always been challenging, requiring extensive process development expertise and often resulting ...
Tianqi Ma   +8 more
wiley   +1 more source

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