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64.326  Articles
1 of 6.434 pages  |  10  records  |  more records»
Support vector machine (SVM) is a popular classification technique with many diverse applications. Parameter determination and feature selection significantly influences the classification accuracy rate and the SVM model quality. This paper proposes two n... see more

Passalurosis is a prevalent disease among helminthiases of domestic rabbits. This invasion is caused by the nematode Passalurus ambiguus (Nematoda, Oxyuroidae), which is cosmopolitan and localized in the cecum and colon of rabbits. Passalurosis is highly ... see more

In this paper, an improvisation in Niching Memetic Algorithm for Simultaneous Clustering and Feature Selection (NMA_CFS) is proposed. In NMA_CFS, the parameters such as replacement group size, selection group size and population size are determined empiri... see more

Context of this article topics is that the issue of the choice of parameters of the extractor features and classification analysis algorithm in conditions of a priori uncertainty, resource constraints, and information is not enough studied and in full has... see more

Short-term solar irradiance forecasting (STSIF) is of great significance for the optimal operation and power predication of grid-connected photovoltaic (PV) plants. However, STSIF is very complex to handle due to the random and nonlinear characteristics o... see more

Purpose: The research aims to find the best parameters and features for predicting stock price movement using the XGBoost algorithm. The parameters are searched using the RMSE value, and the features are searched using the importance value.Design/methodol... see more

Objective: To assess the value of feature-tracking cardiac magnetic resonance (FT-CMR) imaging in the quantitative evaluation of acute myocardial infarction (AMI).Methods: We retrospectively analyzed medical records of patients with acute myocardial infar... see more

This study aims to analyze the implementation of the Extreme Learning Machine (ELM) Algorithm with Gray Level Co-Occurrence Matrix (GLCM) as an Image Feature Extraction method in identifying phosphorus deficiency in cocoa plants based on leaf characterist... see more

Informasi akurat terkait konektivitas hidrologi akan diperlukan dalam aliran permukaan daratan yang terkena dampak bencana alam. Seperti halnya pada wilayah Kecamatan Kebumen yang merupakan daerah dengan tingkat kerawanan banjir tinggi, termasuk di daerah... see more

1 of 6.434 pages  |  10  records  |  more records»