SciELO

Comparison of predictive performance of data mining algorithms in predicting body weight in Mengali rams of Pakistan

The present study aimed at comparing predictive performance of some data mining algorithms (CART, CHAID, Exhaustive CHAID, MARS, MLP, and RBF) in biometrical data of Mengali rams. To compare the ...
Frontiers

Comparative Evaluation of Fast-Learning Classification Algorithms for Urban Forest Tree Species Identification Using EO-1 Hyperion Hyperspectral Imagery

The final, formatted version of the article will be published soon. Abstract— Accurate identification of forest tree species is vital for sustainable forest management, biodiversity assessment, and ...
IEEE

Performance of Classification Algorithms Under Class Imbalance: Simulation and Real-World Evidence

Abstract: Class imbalance is a persistent challenge in machine learning, particularly in high-stakes applications such as medical diagnostics, bioinformatics, and fraud detection, where the minority ...
IEEE

FCIGPG: An Approach to Fuzzy Classification Based on Information Granule Purity and Granularity

Abstract: In the realm of contemporary machine learning and data science, classification algorithms occupy a pivotal role. Granular computing (GrC), as an emerging paradigm for data handling and ...
Frontiers

Evaluating the impact of different deface algorithms on deep learning segmentation software performance

Department of Radiation Oncology, Mayo Clinic, Phoenix, AZ, United States Introduction: Data sharing is essential for advancing research in radiation oncology, particularly for training artificial ...
C&EN

Evaluation of Various Magnetic Ferrite Nanoparticles for Methionine γ-Lyase (MGL) Immobilization: Enhanced Stability and Catalytic Performance of Nanoenzyme Carriers

Research Unit in Integrative Immuno-Microbial Biochemistry and Bioresponsive Nanomaterials, Faculty of Dentistry, Chulalongkorn University, Pathumwan, Bangkok 10330, Thailand Department of ...