Results 111 to 120 of about 35,671 (228)

Predicting Life Expectancy in Upper‐Middle‐Income Countries Using Machine Learning: A Comparative Analysis

Sustainable Development, EarlyView.
ABSTRACT This study aims to estimate life expectancy in upper‐middle‐income countries using socio‐economic and health‐related variables obtained from the World Bank's World Development Indicators database. To this end, four machine learning algorithms—Support Vector Regression (SVR), Random Forest, Gradient Boosting, and XGBoost—were applied; the ...
Esra Süzen, Mehmet Kayakuş
wiley   +1 more source

Explainable IAOA-CNN-CBAM-SVR model for predicting air consumption of auxiliary nozzles with limited sample size. [PDF]

PLoS One
Shen M, Cao Y, Xiong X, Wang Z, Yu L, Yang X, Lv Y.   +6 more
europepmc   +1 more source

Fiber Bragg Grating Force Sensors for Minimally Invasive Surgery: State of the Art, Challenges, and Opportunities

SmartBot, EarlyView.
This article reviews the application of fiber Bragg grating (FBG) technology for precise force sensing in minimally invasive surgery. It outlines the fundamental working principles and algorithms used to interpret sensor data. The text surveys clinical applications across various medical fields, such as ophthalmology and vascular intervention (Table of
Shiyuan Dong, Tianqi Huang, Lingyu Chen, Shucong Yin, Qing Chang, Dingpei Han, Yangxi Li, Boyu Zhang, Hongen Liao, Fang Chen   +9 more
wiley   +1 more source

Tunable Surface Chemistry of Molten Salt Derived MXenes for Data‐Driven Electrochemical Materials Discovery

Small, EarlyView.
The surface chemistries of MXenes have been largely broadened by Lewis acid melts through expanded compositional diversity and functionalization routes. Such complexity makes data‐driven approaches particularly suitable for accelerated functionality discovery. This review examines surface chemistry from synthetic history to structure‐activity relations,
Yingrui Wang, Simin Li, Tao Yang, Xinmei Hou, Bo Shen   +4 more
wiley   +1 more source

Hybrid machine learning forecasting for resilient and sustainable pharmaceutical supply chains under regulatory and seasonal disruption. [PDF]

Front Artif Intell
Yahya K, Safaei M, Al Dawsari S.
europepmc   +1 more source

The insulin resistance-systemic vascular resistance-isolated diastolic hypertension axis: a metabolic framework for an overlooked hypertension phenotype. [PDF]

Front Cardiovasc Med
Zhao JY, Shu Y, Wang SH, Wu H.
europepmc   +1 more source

Calculating the Interconnection Limit from a Comprehensive Voltage Evaluation for Distribution Systems with Large Distributed Energy Resources

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Japan is pursuing power source decarbonization and is thus reducing fuel‐based thermal power generation while promoting renewable energy resource use. Given the expected power fluctuations, this transition will require novel voltage management and control methods.
Satoshi Uemura, Koushichi Nemoto, Yasuhiro Hayashi   +2 more
wiley   +1 more source

Machine Learning-Based Prediction of Textural Properties and Nonlinear Regulatory Pattern Analysis of 3D-Printed Dough Containing Konjac Glucomannan. [PDF]

Foods
Leng W, Sun Y, Xie J, Pang J.
europepmc   +1 more source

Decentralized Electric Vehicle Charging Strategy for Voltage Regulation by Charging Shifting and Reactive Power Control in Distribution System

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
This paper proposes a decentralized electric vehicle (EV) charging control method designed to clear voltage violations in distribution grids with high EV penetration, while considering consumer convenience. The concentration of EV charging demand can cause localized voltage violations, posing a significant challenge to grid operation.
Takafumi Watanabe, Akihisa Kaneko, Jun Yoshinaga, Hideo Ishii, Yasuhiro Hayashi, Yoshihiro Hirata, Takami Yokose, Nobuteru Ishihara   +7 more
wiley   +1 more source

RF-SVR-based prediction methodology for metal tube-bending rebound: Handling non-uniformity and limited sample challenges. [PDF]

PLoS One
Fang Z, Zhang P, Li L, Zhang Q.
europepmc   +1 more source