Results 81 to 90 of about 9,950,203 (293)
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Integrating internal operations for effective operations : case studies in the supply chain
Logistics management is an important source of competitive advantage in commerce (Achrol, 1991; Day, 1994; Porter, 1985; Stalk et al., 1992; Webster, 1992).
Hyland, Paul W. +3 more
core
Integrating machine vision for road condition assessment: A case of the City of Johannesburg
Background: The City of Johannesburg (CoJ) is grappling with deteriorating road infrastructure marked by potholes, surface cracks, faded markings and blocked drainage. Traditional visual inspections are reactive, subjective and labour-intensive.
Victor Rambau +2 more
doaj +1 more source
A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle +5 more
wiley +1 more source
A Smart-City Scope of Operations Management
© 2018 Production and Operations Management Society We are entering an era of great expectations towards our cities. The vision of “smart city” has been pursued worldwide to transform urban habitats into superior efficiency, quality, and sustainability ...
Zuo-Jun Max Shen +3 more
core +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ +19 more
wiley +1 more source
Fundamentals of safety hazards: A scientific perspective
Current theory on safety hazards and the origin of safety risk is often unstructured, misleading and ambiguous. Essentially, it is ambiguous, as definitions and descriptions refrain from stating a formal common basis upon which one can rely to ...
Elriza Esterhuyzen, Leonie B. Louw
doaj +1 more source
Solvate ionic liquids lubrication reduced the coefficient of friction by ∼60% compared to dry sliding, reaching steady‐state values as low as 0.04–0.05. Corrosion weight‐loss measurements in 1 M HCl further demonstrated significant inhibition behavior, with only 100 ppm of [Li(G3)][TFSI] (∼68.5 μL/L) reducing corrosion‐product weight loss by 63 ...
Sameh Dabees +6 more
wiley +1 more source
Modelling the Effects of Dynamic Parameters of a Self-Balancing Electric Segway over Irregular Sinusoidal Terrains [PDF]
Dynamic modelling and advanced control analysis are employed to investigate the behavior of a self-balancing electric Segway navigating on irregular sinusoidal terrains.
Ntambo Aaron Mulumba +3 more
doaj +1 more source

