Results 31 to 40 of about 13,565 (211)
Barekeng, 2023 The growth of news articles on the internet occurs in a short period with large amounts so necessary to be grouped into several categories for easy access. There is a method for grouping news articles, namely classification.
Dewi Retno Sari Saputro, Krisna Sidiq
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Enhanced Fault Diagnosis Method for Tractors Using Random Forest Algorithm [PDF]
Advances in Engineering and Intelligence SystemsIn this study, we initially introduce a robust method to categorize large groups of educators into distinct communities, termed "genres," based on their shared instructional preferences.
Milad Mohebbi, Yalda Mohebbi
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric supportive care clinical trials often involve multiple clinically important outcomes, complicating trial interpretation. Hierarchical composite endpoints (HCEs) provide a framework to integrate key outcomes according to clinical importance.
Willem H. Collier +11 more
wiley +1 more source
Complexity control method of random forest based HEVC
Dianxin kexue, 2019 High efficiency video coding (HEVC) has high computational complexity,and fast algorithm cannot perform video coding under restricted coding time.Therefore,a complexity control method of HEVC based on random forest was proposed.Firstly,three random ...
Peng WEN +4 more
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Coal mine gas emission prediction method based on random forest regression
Gong-kuang zidonghua, 2021 In order to improve the prediction accuracy and efficiency of coal mine gas emission, a coal mine gas emission prediction method based on random forest regression is proposed.
WU Fengliang1,2 +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan +3 more
wiley +1 more source
Stroke Disease Prediction Using Random Forest Method
, 2023 Stroke is a cerebrovascular disease or brain injury that blocks blood vessels thereby limiting blood supply to the brain. Currently technology is growing. The medical community is greatly helped by the development of technology. One of them is a program that can be used to detect stroke with artificial intelligence.
Aji, Priyo Wahyu Setiyo +1 more
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Identification of Latent Oncogenes with a Network Embedding Method and Random Forest [PDF]
BioMed Research International, 2020 Oncogene is a special type of genes, which can promote the tumor initiation. Good study on oncogenes is helpful for understanding the cause of cancers. Experimental techniques in early time are quite popular in detecting oncogenes. However, their defects become more and more evident in recent years, such as high cost and long time.
Ran Zhao, Bin Hu, Lei Chen, Bo Zhou
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
wiley +1 more source
FEBS Letters, EarlyView.In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source