Results 191 to 200 of about 40,126 (265)

A robust multi-location evaluation of a machine learning framework for wind power forecasting. [PDF]

PLoS One
Ali U, Sufyan M, Ali S, Ahmad M, Rehman Khan SU, Raza N, Sultana J, Habib MA.   +7 more
europepmc   +1 more source

Experimental Investigation on the Effect of Dry and Wet Activation Processes on the Morphological Properties of Activated Carbon Derived From Sugarcane Bagasse

Carbon Innovation, EarlyView.
Synthesis and characterization of sugarcane bagasse‐derived activated carbon via KOH‐assisted dry and wet activation. ABSTRACT This study explores the impact of activation processes on the morphological properties of activated carbon. Carbon is initially produced through vacuum pyrolysis at three temperatures (500°C, 600°C, and 700°C), with a heating ...
Sachin Channappa Hallad, N. L. Panwar, Kavankumar Venkatareddy, J. K. Maherchandani, Trilok Gupta, S. S. Meena   +5 more
wiley   +1 more source

Large-scale semidefinite programming with graphics processing units. [PDF]

Proc Natl Acad Sci U S A
Han Q, Lin Z, Liu H, Chen C, Deng Q, Ge D, Ye Y.   +6 more
europepmc   +1 more source

AutoGCA—A Software Tool for the Automated Analysis of Gas Chromatograms

Chemie Ingenieur Technik, EarlyView.
The automation of tedious manual or semi‐automated analysis of gas chromatograms offers significant time savings in analytical chemistry. An automated approach is proposed that works even for gas chromatography datasets with highly overlapping or baseline distorted peaks. ABSTRACT Gas chromatography (GC) is an important tool in analytical chemistry and
Henning Schröder, Tomass Andersons, Alexander Brächer, Roland Peschke, Martina Beese, Christoph Kubis, Mathias Sawall, Robert Franke, Klaus Neymeyr   +8 more
wiley   +1 more source

Deep learning radiomics model for lymph node metastases prediction: a diagnostic study. [PDF]

Gland Surg
Li Y, Wu S, Qiu J, Meng L, Zhang M, Cai H, Xu J, Zhang W, Zhu Y, Peng B.   +9 more
europepmc   +1 more source

Application of artificial neural network and general machine learning modelling on CO2 adsorption in moisture equilibrated South African high and medium rank coals

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the effect of moisture on CO2 adsorption in South African coals using both experimental and machine learning approaches. Three coal samples (SL, TN, and EM) with varying ranks (RoVmr: 3.49%, 1.26%, and 0.64%, respectively) were collected from different regions of South Africa.
Kasturie Premlall, Lawrence Koech, Douw Faurie, Khanyisile Lepota   +3 more
wiley   +1 more source

A Multidimensional Data Fusion Method Incorporating a Temporal Feature for Estimating Tomato Aboveground Biomass. [PDF]

Sensors (Basel)
Yuan F, Li R, He Y, Liu Y.
europepmc   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

PAC-ZNN for Robust Target Tracking in WSNs Against Complex Polynomial Noise. [PDF]

Sensors (Basel)
Zhan Z, Song Z, Huang S, Xie Q, Xiao X.
europepmc   +1 more source

Transient cooling and gelation of a waxy‐oil pipeline during shutdown: Effects of insulation and external convection

The Canadian Journal of Chemical Engineering, EarlyView.
Graphical overview of waxy‐oil solidification during pipeline shutdown under different external cooling and insulation conditions. Abstract Wax solidification during pipeline shutdown was investigated in this study using a 3D transient computational fluid dynamics (CFD) model incorporating conjugate heat transfer, temperature‐dependent thermophysical ...
Ramy Elaswad, Ahmed Mehairi, Kotaybah Hashlamoun, Saleh S. Baakeem, Nashaat N. Nassar   +4 more
wiley   +1 more source