Results 191 to 200 of about 21,160 (284)

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

Nonlinear classifiers for wet-neuromorphic computing using gene regulatory neural network. [PDF]

Biophys Rep (N Y)
Ratwatte A, Somathilaka S, Balasubramaniam S, Gilad AA.   +3 more
europepmc   +1 more source

Technostress and Technophobia: Unmasking the Impact of Coerced AI Adoption in Higher Education Institutions

Global Business and Organizational Excellence, EarlyView.
ABSTRACT This article investigates the impact of coerced AI adoption on the psychological well‐being of academic staff within higher education institutions. Data were collected from a sample of 470 faculty members randomly selected from higher education institutions in Pakistan.
Muhammad Imran Qureshi, Mehwish Iftikhar, Samer Ali Al‐shami, Shazia Qayyum   +3 more
wiley   +1 more source

SimpleKANSleepNet: a Kolmogorov-Arnold network based sleep stage classification method. [PDF]

Front Bioinform
Ji X, Wang L, Zhou Y.
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

ASAS-NANP symposium: mathematical modeling in animal nutrition: review of time series techniques and machine learning models for advancing livestock production. [PDF]

J Anim Sci
Peter J, Li M, Brennan J, Menendez H, Moradi Rekabdarkolaee H.   +4 more
europepmc   +1 more source

Predictive Modelling of Solvent Effects on Drug Incorporation into Polymeric Nanocarriers: A Machine Learning Approach

Macromolecular Rapid Communications, EarlyView.
When seeking nanoparticles with elevated drug loading content, the experimental setup, including solvent selection, is crucial. Through machine learning, we pinpointed that the drug's solubility in the organic solvent is the key factor for attaining high drug loading content.
Wei Ge, Ramindu De Silva, Yanan Fan, Scott A. Sisson, Martina H. Stenzel   +4 more
wiley   +1 more source

Compressive Learning for the Classification and Reconstruction of Synthetic Aperture Radar Data. [PDF]

Sensors (Basel)
Keymasi M, Ghozatlou O, Heredia Conde M, Datcu M.   +3 more
europepmc   +1 more source

Self‐Supervised Deep Learning Framework for Rician Distribution Based Denoising and Modeling of Multi‐b Prostate Diffusion MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Convolutional neural networks (CNNs) are evaluated for improved and accelerated denoising and Rician bias correction in multi‐b DW images with simultaneous signal modeling. Methods Prostate diffusion images from 46 individuals acquired at 20 linearly distributed b‐values (bmax=2000s/mm2)$$ {b}_{\mathrm{max}}=2000\kern0.3em \mathrm{s}/{\
Mustafa Abbas, Wenyin Zhou, Stephan E. Maier, Fredrik Langkilde, Stefan Kuczera   +4 more
wiley   +1 more source

Detection of false position attacks in VANETs through bagging ensemble learning. [PDF]

PLoS One
Mekonen BK, Bane L, Fite NB.
europepmc   +1 more source