Results 81 to 90 of about 283,145 (183)

Optimization of Marginal Price Forecasting in Mexico through applying Machine Learning Models

International Journal of Combinatorial Optimization Problems and Informatics
The Local Marginal Price (LMP) represents the value of energy at a specific moment and location, and its proper management is crucial for the development of the country's strategic sectors. This study compares the ADR, RPSG, SARIMA, and LSTM-H models for predicting the LMP, achieving an approximate effectiveness of 88%.
Marcos Fidel Guzmán Escobar, Alberto Alfonso Aguilar-Lasserre, Marco Julio Del Moral Argumedo, Nicasio Hernández Flores, Gustavo Arroyo Figueroa   +4 more
openaire   +1 more source

Prediction of titanium burn-off and untimate titanium content in electroslag process

Journal of Materials Research and Technology
In this study, we investigate the burning behavior of titanium during the electroslag remelting (ESR) process and its impact on the titanium content at the endpoint using machine learning. Initially, a comprehensive database was established by collecting
Xi Chen, Yanwu Dong, Zhouhua Jiang, Jia Wang, Yuxiao Liu   +4 more
doaj   +1 more source

Advancing NFL win prediction: from Pythagorean formulas to machine learning algorithms

Frontiers in Sports and Active Living
This study evaluates the predictive performance of traditional and machine learning-based models in forecasting NFL team winning percentages over a 21-season dataset (2003–2023).
Caroline Weirich, Jun Woo Kim, Youngmin Yoon, Seunghoon Jeong   +3 more
doaj   +1 more source

Machine learning prediction model of prolonged delay to loop ileostomy closure after rectal cancer surgery: a retrospective study

World Journal of Surgical Oncology
Background Delayed closure of a temporary ileostomy in patients with rectal cancer may cause psychological, physiological, and socioeconomic burdens to patients.
Jianying Liu, Mengxiao Jiang, Xiaoping Chen, Yonglan Ge, Zongxin Zheng, Xia Yang, Wenhao Zhou, Huiting Zhang, Meichun Zheng, Baojia Luo   +9 more
doaj   +1 more source

A Machine Learning Framework for Oncological Margin Detection

Cancer is the cause of one in four deaths in North America. A common phase of early-stage oncological treatment is the surgical resection of cancerous tissue. The presence of cancer cells on the resection margin, referred to as positive margin, is correlated with the recurrence of cancer and demands re-operation.
openaire   +1 more source

Determination of Steady State Stability Margin Using Extreme Learning Machine

, 2012
Power systems have increased in size and complexity due to rapid growth of widespread interconnection. This situation will make power system operated closer to steady-state stability limit (SSSL) resulting in higher probability voltage instability or voltage collapse.
openaire   +1 more source

Local Learning vs. Global Learning: An Introduction to Maxi-Min Margin Machine [PDF]

, 2005
K. Huang, H. Yang, I. King, M.R. Lyu
openaire   +1 more source

Max Margin Learning for Statistical Machine Translation Toward Improvement of Machine Translation Accuracy

Transactions of the Japanese Society for Artificial Intelligence, 2010
Katsuhiko Hayashi, Taro Watanabe, Hajime Tsukada, Hideki Isozaki, Seiichi Yamamoto   +4 more
openaire   +2 more sources

READER'S FORUM. [PDF]

Korean J Orthod
Chen J.
europepmc   +1 more source

Integrating histopathology and immune marker analysis for machine learning-based colorectal cancer prognostics. [PDF]

Diagn Pathol
Saadh MJ, Saeed TN, Alfarttoosi KH, Ballal S, Nayak PP, Singh A, Kavitha V, Kubaev A, Taher WM, Alwan M, Jawad MJ, Ali Al-Nuaimi AM, Farhood B.   +12 more
europepmc   +1 more source