Results 171 to 180 of about 3,700 (260)

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

Engineering Sequestration-Based Biomolecular Classifiers with Shared Resources. [PDF]

ACS Synth Biol
Moghimianavval H, Gispert I, Castillo SR, Corning OBWH, Liu AP, Cuba Samaniego C.   +5 more
europepmc   +1 more source

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

Computing-in-memory architecture for Kolmogorov-Arnold networks based on tunable Gaussian-like memory cells. [PDF]

Nat Commun
Wen Z, Zhang Q, Chen J, Yang T, Yang F, Wang X, Liu Q, Luo X, Lin P, Deng LJ, Liu F.   +10 more
europepmc   +1 more source

Residual Neural Network Compensation of Temperature‐Induced Gamma Shift in OLED Display

Journal of the Society for Information Display, EarlyView.
The figure summarizes the proposed white‐only sensing framework and highlights its key advantages in improving color accuracy and reducing calibration time ABSTRACT Organic light‐emitting diode (OLED) displays exhibit temperature‐induced chromatic shifts and luminance‐dependent nonlinear responses, causing CIEDE2000 color difference (ΔE) and local ...
Ching‐Hsiang Hsu, Mang Ou‐Yang
wiley   +1 more source

RA-BiMENet: Continuous-Time 4D Medical Image Interpolation via Relation-Aware Bi-Directional Motion Estimation. [PDF]

Sensors (Basel)
Li L, Lyu J.
europepmc   +1 more source

Emotion and Engagement Across the Idol Spectrum: Comparing Virtual and Human Idols

Psychology &Marketing, EarlyView.
ABSTRACT The increasing adoption of virtual idols in entertainment platforms raises critical questions about how viewers respond to their emotional performances compared to human idols. Despite their growing presence, little is known about whether and how emotional expressivity differs across performer modalities and content formats, or how these ...
Lin Kim, Inyoung Chae, Taeho Kim, Jaepil Heo, Yogesh Kumar Dwivedi   +4 more
wiley   +1 more source

Aerodynamic Optimization of Relay Nozzle Using a Chebyshev KAN Surrogate Model Integration and an Improved Multi-Objective Red-Billed Blue Magpie Optimizer. [PDF]

Biomimetics (Basel)
Shen M, Zhang Z, Qin G, Zhou D, Du L, Yu L.   +5 more
europepmc   +1 more source

Physics‐Informed Generative Machine Learning for Designing Crack‐Free γ′‐Strengthened Ni‐Based Superalloys for Laser Powder Bed Fusion

Materials Genome Engineering Advances, EarlyView.
This research proposes a physics‐informed generative machine learning framework to design SHA800, a crack‐free γ′‐strengthened nickel‐based superalloy for laser powder bed fusion, achieving a 43% γ′ volume fraction and 587 HV0.2 hardness. ABSTRACT Fabricating γ′‐strengthened nickel‐based superalloys via laser powder bed fusion (LPBF) faces significant ...
Kai Guo, Dongwei Guan, Tao Hu, Yaqing Hou, Xiaoqun Li, Zhongnan Bi, Songzhe Xu, Hao Yu, Wei Xu, Weidong Xuan, Chaoyue Chen, Zhongming Ren   +11 more
wiley   +1 more source

A generative framework for enhancing drug target interaction prediction in drug discovery. [PDF]

Sci Rep
Kotkondawar RR, Sutar SR, Kiwelekar AW, Kadam VJ, Jadhav SM.   +4 more
europepmc   +1 more source