Results 231 to 240 of about 2,598,437 (295)

Machine Learning Approaches for Predicting Total Organic Carbon From Petrophysical Well Logs in the Wufeng–Longmaxi Shale, Southeast Sichuan Basin, China

open access: yesGeoscience Data Journal, Volume 13, Issue 4, October 2026.
This study demonstrates the application of machine learning models—Random Forest, XGBoost, and Multiple Linear Regression—to predict Total Organic Carbon (TOC) from well logs, significantly improving TOC prediction accuracy and reliability across diverse geological settings compared to traditional log‐based methods.
Haseeb Ahmad   +6 more
wiley   +1 more source

Outracing a National Level Model Racing Car Champion: A Hybrid Model‐Based Data‐Driven Approach

open access: yesJournal of Field Robotics, Volume 43, Issue 7, Page 4821-4835, October 2026.
ABSTRACT This paper discusses lap time optimization, focusing on a single lap without considering opponents in autonomous racing. The paper presents a control and optimization architecture composed of a model‐based low level controller and a higher level iterative learning algorithm with the goal of obtaining the fastest qualifying lap in autonomous ...
Mustafa Alp   +3 more
wiley   +1 more source

Enhanced Control of 1.5 MW DFIG Generators in MRWT Systems Using GA‐Based PI‐ST‐SMC: Comparative Assessment With ST‐SMC

open access: yesWind Energy, Volume 29, Issue 10, October 2026.
ABSTRACT This paper proposes a novel genetic algorithm‐based proportional–integral super‐twisting sliding mode control (GA‐PI‐ST‐SMC) strategy for the rotor‐side converter of a 1.5 MW doubly‐fed induction generator (DFIG) operating in marine renewable wind turbine (MRWT) systems.
Habib Benbouhenni   +3 more
wiley   +1 more source

Design of a Three‐Phase PWM Rectifier Based on Improved Whale Optimization Algorithm Optimized Fuzzy Control

open access: yesAdvanced Control for Applications, Volume 8, Issue 3, September 2026.
Schematic diagram of the whale optimization algorithm (WOA)–optimized fuzzy proportional–integral–derivative (PID) controller. The WOA is employed to dynamically tune the scaling factor expressions and fuzzy control parameters (a(e)a(e), a(ec)a(ec), βpβp, βiβi), as well as the initial PID gains (kp0kp0, ki0ki0), based on the error (ee) and its ...
Xiaosong Tian   +7 more
wiley   +1 more source

Diabetic Retinopathy Classification With Convolutional Neural Networks Designed by the Fuzzy Grey Wolf Optimizer With Parameter Adaptation

open access: yesAI &Innovation, Volume 1, Issue 2, September 2026.
ABSTRACT The detection and classification of diseases have become a field of interest for artificial intelligence in recent years, where the development of methods and models that allow support for specialists in different health fields has allowed early detection of diseases and the provision of timely treatment to patients.
Rodrigo Cordero‐Martínez   +2 more
wiley   +1 more source

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