Results 71 to 80 of about 22,279 (217)

Development of tool life prediction system for square end-mills based on database of servo motor current value

Journal of Advanced Mechanical Design, Systems, and Manufacturing
Accurate prediction of tool life is crucial for reducing production costs and enhancing quality in the machining process. However, such predictions often rely on empirical knowledge, which may limit inexperienced engineers to reliably obtain accurate ...
Hiroyuki KODAMA, Makoto SUZUKI, Kazuhito OHASHI   +2 more
doaj   +1 more source

Analysis and Optimization of Customer Lifetime Value Prediction using Machine Learning and Deep Learning Models by RFM Techniques [PDF]

International Journal of Web Research
In today’s data-driven hospitality sector, customer interactions increasingly occur through digital platforms, generating extensive behavioral and transactional information. This study analyse the prediction of Customer Lifetime Value (CLV) using machine
Leila Taherkhani, Amir Daneshvar, Hossein Amoozad Khalili, MohammadReza Sanaei   +3 more
doaj   +1 more source

Literature‐informed ensemble machine learning for three‐year diabetic kidney disease risk prediction in type 2 diabetes: Development, validation, and deployment of the PSMMC NephraRisk model

Diabetes, Obesity and Metabolism, EarlyView.
Abstract Introduction Diabetic kidney disease (DKD) and diabetic nephropathy (DN) affect around 40% of diabetic patients but lack accurate risk prediction tools that include social determinants and demographic complexity. We developed and validated an ensemble machine learning model for three‐year DKD/DN risk prediction with deployment readiness ...
Ayla M. Tourkmani, Turki J. Al‐Harbi, Ahmad Abdullah Alghamdi, Ibrahim M. Youzghadli, Faris Saad Alosaimi, Ahmed Y. Azzam   +5 more
wiley   +1 more source

Study on Short Term Temperature Forecast Model in Jiangxi Province based on LightGBM Machine Learning Algorithm

Gaoyuan qixiang
In order to achieve further improvement in the forecast accuracy of station temperatures and enhance the forecast capability for extreme temperatures， this study establishes a 24-hour national station daily maximum （minimum） temperature forecast model ...
Kanghui SUN, An XIAO, Houjie XIA
doaj   +1 more source

Fetal health classification with predictive algorithm by using Ensemble Model [PDF]

ITM Web of Conferences
Fetal health assessment is essential for ensuring the well-being of both the mother and fetus during pregnancy. Cardiotocography (CTG) is a widely used technique that monitors fetal heart rate (FHR) patterns and uterine contractions, providing critical ...
Devi V. Sowmya, Kancharakuntla Manoj Reddy, Paleti Goutam Nayudu, Madhunala Akash   +3 more
doaj   +1 more source

Forecasting Carbon Prices: A Literature Review

Journal of Forecasting, Volume 45, Issue 2, Page 496-529, March 2026.
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis, Dimitris Christopoulos, George Tzougas   +2 more
wiley   +1 more source

Scaling‐Aware Rating of Poisson‐Limited Demand Forecasts

Journal of Forecasting, Volume 45, Issue 2, Page 787-805, March 2026.
ABSTRACT Forecast quality should be assessed in the context of what is possible in theory and what is reasonable to expect in practice. Often, one can identify an approximate upper bound to a probabilistic forecast's sharpness, which sets a lower, not necessarily achievable, limit to error metrics.
Malte C. Tichy, Illia Babounikau, Nikolas Wolke, Stefan Ulbrich, Michael Feindt   +4 more
wiley   +1 more source

Predicting Antibiotic Resistance in ICUs Patients by Applying Machine Learning in Vietnam

Infection and Drug Resistance, 2023
Viet Tran Quoc,1 Dung Nguyen Thi Ngoc,2,3 Trung Nguyen Hoang,4 Hoa Vu Thi,4 Minh Tong Duc,4 Thanh Do Pham Nguyet,2 Thanh Nguyen Van,5 Diep Ho Ngoc,2 Giang Vu Son,6 Thanh Bui Duc7 1Intensive Care Unit, Military Hospital 175, Ho Chi Minh City, Vietnam ...
Tran Quoc V, Nguyen Thi Ngoc D, Nguyen Hoang T, Vu Thi H, Tong Duc M, Do Pham Nguyet T, Nguyen Van T, Ho Ngoc D, Vu Son G, Bui Duc T   +9 more
doaj  

Robust Decision Trees Against Adversarial Examples

, 2019
Although adversarial examples and model robustness have been extensively studied in the context of linear models and neural networks, research on this issue in tree-based models and how to make tree-based models robust against adversarial examples is ...
Boning, Duane, Chen, Hongge, Hsieh, Cho-Jui, Zhang, Huan   +3 more
core  

Validating Explainer Methods: A Functionally Grounded Approach for Numerical Forecasting

Journal of Forecasting, Volume 45, Issue 2, Page 819-836, March 2026.
ABSTRACT Forecasting systems have a long tradition in providing outputs accompanied by explanations. While the vast majority of such explanations relies on inherently interpretable linear statistical models, research has put forth eXplainable Artificial Intelligence (XAI) methods to improve the comprehensibility of nonlinear machine learning models. As
Felix Haag, Konstantin Hopf, Thorsten Staake   +2 more
wiley   +1 more source