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Results 141 to 150 of about 150,441 (331)

Outlier Detection Using Gaussian Mixture Model Clustering to Optimize XGBoost for Credit Approval Prediction

Journal of Computing Theories and Applications
Credit approval prediction is one of the critical challenges in the financial industry, where the accuracy and efficiency of credit decision-making can significantly affect business risk. This study proposes an outlier detection method using the Gaussian
De Rosal Ignatius Moses Setiadi +5 more
semanticscholar +1 more source

Patterns of interspecific variation in labial microarchitecture among anthropoid primates and the evolution of the hominin lips

The Anatomical Record, EarlyView.
Comparative histological and semi‐automated image analysis of primate lips: Masson's trichrome‐stained sagittal sections were segmented to quantify the connective tissue, adipose, and muscular components, enabling interspecific comparisons of labial architecture.
Liat Rotenstreich +5 more
wiley +1 more source

Hava Tabanlı LiDAR ile Tepe Altı Yüksekliğinin Tahmininde Makine Öğrenmesi Tabanlı Bir Yaklaşım

Düzce University Faculty of Forestry Journal of Forestry
Orman ekosistemleri, karbon tutma, biyolojik çeşitlilik ve diğer ekosistem hizmetleri açısından kritik öneme sahiptir. Bu bağlamda, orman yapısal parametrelerinin doğru ve güncel ölçümü, sürdürülebilir ormancılık ve ekosistem yönetimi için gereklidir ...
Tufan Demirel
doaj +1 more source

Genomic Structural Variations Provide Insights Into Litter Size and Teat Number Traits in Hu Sheep

Animal Research and One Health, EarlyView.
Here, we conducted whole genome sequencing on 300 Hu sheep with an average depth of 16.51X. Two candidate genes associated with litter size and teat number traits were identified, namely MAST2 and AFDN. ABSTRACT Litter size and the teat number are important economic indicators in sheep production.
Xin Xiang, Wei Dai, Jiqiang Liu, Zhengguang Wang +3 more
wiley +1 more source

Visual Feature Extraction and Machine Learning for Graphical Violence Detection: A Deep Learning-Free, Efficient Approach

Düzce Üniversitesi Bilim ve Teknoloji Dergisi
This study proposes an efficient, deep learning-free approach for detecting graphically violent images to address the challenges of high computational costs and class imbalance in digital content moderation. Using the "Graphical Violence and Safe Images"
Mehmet Osman Devrim, Serdar Kırışoğlu +1 more
doaj +1 more source

Unveiling Endotypes in Systemic Lupus Erythematosus Through Multiomic Analysis: Insights Into Cardiovascular and Renal Complications

Arthritis &Rheumatology, EarlyView.
Objective Systemic lupus erythematosus (SLE) shows clinical and molecular heterogeneity, and cardiovascular (CV) complications and lupus nephritis (LN) remain leading causes of morbidity and mortality. This study investigated whether omic profiling can reveal molecular endotypes linked to these outcomes.
Tomás Cerdó +84 more
wiley +1 more source

Machine Learning to Predict Remission Between 6 and 24 Months in Rheumatoid Arthritis: Insights From JAK, an International Registry Collaboration

Arthritis &Rheumatology, EarlyView.
Objective To develop, externally validate, and simplify a machine learning model to predict remission between 6 and 24 months in patients with rheumatoid arthritis (RA) initiating tumor necrosis factor inhibitors, JAK inhibitors, interleukin‐6 inhibitors, abatacept, or rituximab using data from 11 international registries in the JAK‐pot collaboration ...
Zubeyir Salis +22 more
wiley +1 more source

Моделювання підбору молодих спеціалістів за допомогою штучного інтелекту

Acta Academiae Beregsasiensis. Economics
Розвиток соціальних мереж, популяризація віддаленої роботи та глобалізація створюють підґрунтя для трансформації HR-менеджменту. Підвищення ефективності та якості реалізації наявних технологій підбору персоналу досягається за рахунок їх цифровізації ...
Viktoriia Makarovych, Adalbert Makarovych +1 more
doaj +1 more source

Inferring rheumatoid arthritis disease activity status from the electronic health records across health systems

Arthritis &Rheumatology, Accepted Article.
Objective Disease activity plays a central role in rheumatoid arthritis (RA) clinical studies. The inconsistent availability of data on disease activity in real‐world electronic health records (EHR) data has limited the ability to generate real‐world evidence (RWE). This study aimed to develop and validate scalable machine learning (ML) models to infer
David Cheng +34 more
wiley +1 more source

АВТОМАТИЗОВАНЕ ВИЯВЛЕННЯ АНОМАЛІЙ У ТРАФІКУ КОРПОРАТИВНИХ БЕЗДРОТОВИХ МЕРЕЖ ЗА ДОПОМОГОЮ PYTHON: МЕТОДИ, РЕАЛІЗАЦІЯ ТА ОЦІНКА ЕФЕКТИВНОСТІ

Кібербезпека: освіта, наука, техніка
Представлено результати дослідження, присвяченого розробці та порівнянню моделей автоматизованого виявлення аномалій у трафіку корпоративних бездротових мереж.
Ізабелла Соболенко, Артем Платоненко +1 more
doaj +1 more source

machine learning
fos: computer and information sciences
random forest

machine learning cs.lg
computer science - machine learning
machine learning stat.ml

statistics - machine learning
classification
lstm