Results 41 to 50 of about 13,707,469 (301)

CABLE NEWS NETWORK (CNN) ARTICLES CLASSIFICATION USING RANDOM FOREST ALGORITHM WITH HYPERPARAMETER OPTIMIZATION

open access: yesBarekeng, 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
doaj   +1 more source

Complexity control method of random forest based HEVC

open access: yesDianxin 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
doaj   +2 more sources

Enhanced Fault Diagnosis Method for Tractors Using Random Forest Algorithm [PDF]

open access: yesAdvances in Engineering and Intelligence Systems
In 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
doaj   +1 more source

The human gut microbiome across the life course

open access: yesFEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero   +4 more
wiley   +1 more source

Best Student Classification using Ensemble Random Forest Method

open access: yesSistemasi: Jurnal Sistem Informasi
Education at Madrasah Aliyah Negeri 1 Medan considers religious values, ethics, leadership, and participation in extracurricular activities as an integral part of student character building.
Ricky Aulia Mrg   +1 more
doaj   +1 more source

Coal mine gas emission prediction method based on random forest regression

open access: yesGong-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
doaj   +1 more source

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

open access: yesFEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa   +2 more
wiley   +1 more source

Stroke Disease Prediction Using Random Forest Method

open access: yes, 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
openaire   +2 more sources

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

open access: yesMolecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska   +13 more
wiley   +1 more source

Random Forest Similarity Maps: A scalable visual representation for global and local interpretation

open access: yes, 2021
This Research work focuses on the interpretation and explainability of Random Forest ensemble model using Visual Analytics.Machine Learning prediction algorithms have made significant contributions in today’s world, leading to increased usage in a ...
Mazumdar, Dipankar
core  

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