[PDF][PDF] Lettuce life stage classification from texture attributes using machine learning estimators and feature selection processes

SC Lauguico, RIIS Concepcion… - International Journal of …, 2020 - academia.edu
Smart aquaponics management is significant in providing efficient resource consumption.
For this to realize, cultivars' evaluation is a necessary step to identify the system's …

An evaluation of deep learning models for chargeback Fraud detection in online games

YC Wei, YX Lai, ME Wu - Cluster Computing, 2023 - Springer
More and more gamers are willing to pay for games. It has been estimated that the global
gaming market is worth nearly US $160 billion. Chargeback services offer gamers the …

Semi-supervised feature selection with minimal redundancy based on local adaptive

X Wu, H Chen, T Li, J Wan - Applied Intelligence, 2021 - Springer
With the speedy development of network technology, diverse data increase by hundreds of
millions per hour, causing increasing pressure on the acquisition of data labels. Semi …

Feature selection algorithm characterization for NIDS using machine and deep learning

J Verma, A Bhandari, G Singh - 2022 IEEE International IOT …, 2022 - ieeexplore.ieee.org
Data dimensionality is increasing at a rapid rate, posing difficulties for traditional mining and
learning algorithms. Commercial NIDS models make use of statistical measures to analyze …

Machine Learning and Electrocardiography Signal‐Based Minimum Calculation Time Detection for Blood Pressure Detection

M Nour, D Kandaz, MK Ucar, K Polat… - … Methods in Medicine, 2022 - Wiley Online Library
Objective. Measurement and monitoring of blood pressure are of great importance for
preventing diseases such as cardiovascular and stroke caused by hypertension. Therefore …

Implementing Machine Learning in Laboratory Synthesis by Hybrid of SVR Model and Optimization Algorithms

T Pourashraf, S Shokri, M Yousefi… - Advanced Theory …, 2021 - Wiley Online Library
Numerous studies have been performed to modify ferrites to achieve the desired magnetic
properties for the intended applications. Many variables with interactions between …

A modified naïve bayes classifier for detecting spam e-mails based on feature selection

A Ghosh, A Senthilrajan - 2022 6th International Conference on …, 2022 - ieeexplore.ieee.org
E-mail is the fastest and most formal communicating medium worldwide. However, everyday
lots of junk e-mails or spam e-mails get piled up in the mailbox. This research aims to …

PSEV-BF Methodology for Object Recognition of Birds in Uncontrolled Environments

LJ Hernández-González, J Frausto-Solís… - Axioms, 2023 - mdpi.com
Computer vision methodologies using machine learning techniques usually consist of the
following phases: pre-processing, segmentation, feature extraction, selection of relevant …

[HTML][HTML] Automatic sleep identification using the novel hybrid feature selection method for HRV signal

X Li, Z Zhao, Y Zhu, Q Zhao, J Li, F Feng - Computer Methods and …, 2022 - Elsevier
Automatic sleep identification has important practical significance. The Rapid Eye Movement
(REM) sleep correlated with the activity of autonomic nervous system (ANS) can be …

Enhancing Software Cost Estimation Using Feature Selection and Machine Learning Techniques.

F Mansoor, MA Alim, MT Jilani… - Computers …, 2024 - search.ebscohost.com
Software cost estimation is a crucial aspect of software project management, significantly
impacting productivity and planning. This research investigates the impact of various feature …