Results 181 to 190 of about 89,082 (306)

Machine Learning‐Based Estimation of Reference Evapotranspiration and Crop Coefficients for Wheat Under Diverse Climatic Conditions

Irrigation and Drainage, EarlyView.
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin, Hasan Er, Mete Yaganoglu, Muhammed Sungur Demir, Abdullah Muratoglu   +4 more
wiley   +1 more source

Feedforward | unChambered

Feedforward | unChambered is an interactive robotic sound installation that explores how contemporary technological systems shape perception and agency through repetition and self-reference. The work is grounded in a premise drawn from quantum theory: observation is never neutral.
openaire   +2 more sources

Optimizing feather hydrolysate via machine learning for microbial recycling of waste concrete fines

Journal of Chemical Technology &Biotechnology, EarlyView.
Abstract BACKGROUND The concrete industry faces significant challenges from CO2 emissions and the disposal of waste concrete fines (WCF). Microbially induced calcite precipitation (MICP) can bind WCF into bioconcrete, but the high cost of commercial culture media hinders its application.
Henrietta Ottová, Barbora Malíková, Václav Nežerka, Petr Holeček, Dana Koňáková, Hana Stiborová   +5 more
wiley   +1 more source

Mapping the Landscape of Over‐Scanning in CT Imaging: A Scoping Review

Journal of Medical Radiation Sciences, EarlyView.
Over‐scanning in CT is highly prevalent and contributes to unnecessary radiation exposure, with notable impact on radiosensitive organs. Standardised protocols and AI‐assisted planning show strong potential to optimise scan range and reduce excess dose.
Mo'men Bani‐Ahmad, Aoife O Sullivan, Yasser H. Hadi, Laura McLaughlin, Andrew England, Mark McEntee   +5 more
wiley   +1 more source

Chemopreventive Effect of Bitter Melon (Momordica charantia) Juice on Pancreatic Carcinogenesis in LSL‐KrasG12D/+; p48Cre/+ Mice

Molecular Carcinogenesis, EarlyView.
ABSTRACT Herein, using the LSL‐KrasG12D/+; p48Cre/+ transgenic mouse model [that recapitulates the full spectrum of human disease, progressing from early pancreatic intraepithelial neoplasia lesions to invasive pancreatic ductal adenocarcinoma (PDAC)], we determined the chemopreventive effect of long‐term (chronic) administration of Bitter Melon Juice (
Lakshmi Sai Pratyusha Bugata, Deepanshi Dhar, Rama Kant, Robin Kumar, Md. Imtiazul Kabir, Chapla Agarwal, Rajesh Agarwal, Komal Raina   +7 more
wiley   +1 more source

Driving Cerebellar Theta Oscillations Interferes With Voluntary Neck Movements in Cervical Dystonia

Movement Disorders, EarlyView.
Abstract Background Cervical dystonia (CD) is a movement disorder with a complex pathophysiology, including cerebellar abnormalities. Transcranial alternating current stimulation (tACS), a noninvasive neuromodulation technique capable of entraining brain oscillations, can transiently modulate neuronal activity and enhance resonant rhythms.
Davide Costa, Andrea Guerra, Daniele Birreci, Massimiliano Passaretti, Martina De Riggi, Anna Sofia Grandolfo, Valentina D'Onofrio, Luca Angelini, Giulia Paparella, Matteo Bologna   +9 more
wiley   +1 more source

Fault Detection of Electric Motors via Symmetrized Dot Pattern‐Based Features

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This study proposes a novel symmetrized dot pattern (SDP) approach using designed SDP‐based features, extracted from transformed vibration signals, for fault detection. These features describe the compactness, inclination, and shape of the “snowflake” diagram distributions.
Mario Spirto, Pierangelo Malfi, Armando Nicolella, Francesco Melluso, Chiara Cosenza, Sergio Savino, Vincenzo Niola   +6 more
wiley   +1 more source

Enhanced Control Strategies for Residual‐Vibration Suppression and Adaptive Tracking in Flexible Manipulator Under Unknown Bounded Disturbances

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This paper proposes a hybrid control strategy for flexible‐link manipulators that combines offline trajectory planning with adaptive tracking to suppress residual elastic vibration (REV) under unknown bounded disturbances. A rigid–flexible coupling dynamics model is first established using the floating‐frame method and Lagrange's equations ...
Mingming Shi, Bao Rong, Xiaoting Rui, Guoping Wang, Xiaoli Dong, Xin Zhao   +5 more
wiley   +1 more source

Dynamic Performance Enhancement of a High‐Agility Hypersonic Mechanical System via a Learning‐Augmented Robust Control Architecture

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT The design of control systems for high‐agility mechanical systems operating in extreme environments is a significant challenge in nonlinear dynamics. This paper addresses the complex dynamic control problem of a hypersonic interceptor, modeled as a multi‐input multi‐output (MIMO) mechanical system characterized by strong aerodynamic cross ...
Mohammad Mahdi Soori, Seyed Hossein Sadati   +1 more
wiley   +1 more source

Designing ZV and ZVD Input Shapers Using the Designed Fixed Output Response Method to Suppress Residual Vibration of Overhead Crane Systems With Trolley Traveling and Payload Hoisting

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Classical Zero Vibration (ZV) and Zero Vibration and Derivative (ZVD) input shapers are designed around a fixed nominal natural frequency and cannot accommodate the time‐varying dynamics introduced when an overhead crane simultaneously travels and hoists a payload.
Mohammad Alfares, Khaled Alhazza
wiley   +1 more source