Results 51 to 60 of about 1,151,147 (311)
A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho +7 more
wiley +1 more source
Explanation of the features selection procedure; testing set, testing set.
, 2014 Explanation of the features selection procedure; testing set, testing set.
Anna Lisa Mangia (575739) +3 more
core +1 more source
An Efficient Support Vector Machine Algorithm Based Network Outlier Detection System
IEEE AccessWith the increase of cyber-attacks and security threats in the recent decade, it is necessary to safeguard sensitive data and provide robust protection to information systems and computer networks.
Omar Alghushairy +6 more
doaj +1 more source
Sensors, 2010 This paper introduces several non-arbitrary feature selection techniques for a Simultaneous Localization and Mapping (SLAM) algorithm. The feature selection criteria are based on the determination of the most significant features from a SLAM convergence ...
Fernando A. Auat Cheein, Ricardo Carelli
doaj +1 more source
CoRR, 2015 Feature selection plays an important role in the data mining process. It is needed to deal with the excessive number of features, which can become a computational burden on the learning algorithms. It is also necessary, even when computational resources are not scarce, since it improves the accuracy of the machine learning tasks, as we will see in the ...
Tarek Amr Abdallah +1 more
openaire +2 more sources
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola +4 more
wiley +1 more source
An improved features selection approach for control chart patterns recognition
, 2023 Control chart patterns (CCPs) are an essential diagnostic tool for process monitoring using statistical process control (SPC). CCPs are widely used to improve production quality in many engineering applications. The principle is to recognize the state of
Nor Hasrul Akhmal Ngadiman +12 more
core +2 more sources
Classification of Hadith According to Its Content Based on Supervised Learning Algorithms
IEEE Access, 2019 Given the importance of the Prophet’s Hadith for Muslims all over the world, where it is the second source of Islam after the Qur’an and the fundamental resource of legislation in the Islam community.
Hammam M. Abdelaal +2 more
doaj +1 more source
Novel Feature Selection and Voting Classifier Algorithms for COVID-19 Classification in CT Images
IEEE Access, 2020 Diagnosis is a critical preventive step in Coronavirus research which has similar manifestations with other types of pneumonia. CT scans and X-rays play an important role in that direction. However, processing chest CT images and using them to accurately
El-Sayed M. El-Kenawy +4 more
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Maintenance hemodialysis (MHD) patients frequently suffer from frailty, characterized by reduced physical function and poor prognosis. Myokines, such as myonectin, secreted by muscle, are emerging regulators of systemic health. This study investigated the relationship between serum myonectin, adipokines (adiponectin, omentin), and ...
Kenichi Kono +7 more
wiley +1 more source