Discover Class‐Based Feature Distribution by Encoding Discrete Data for Classification
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
RBF neural network based backstepping terminal sliding mode MPPT control technique for PV system. [PDF]
Khan ZA +5 more
europepmc +1 more source
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
Multi-Sensor Fusion for Underwater Vehicle Localization by Augmentation of RBF Neural Network and Error-State Kalman Filter. [PDF]
Shaukat N +4 more
europepmc +1 more source
Embedded CRISPRi Enhances Gene‐Silencing Efficiency in Drosophila
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
High-sensitivity dual-band microstrip sensor for oil-water mixture analysis with RBF neural network optimization. [PDF]
Dehkalani FV +3 more
europepmc +1 more source
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
Tracking control of industrial manipulator based on adaptive RBF neural network with local model approximation. [PDF]
Han G +5 more
europepmc +1 more source
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
Abrasivity behavior analysis and fuzzy stochastic prediction of weakly cemented sandstones using an improved RBF neural network for quantifying uncertainties. [PDF]
Yao Y, Lin J, Li X, Li Y.
europepmc +1 more source

