Results 241 to 250 of about 2,188,345 (345)
3D Perception-Based Adaptive Point Cloud Simplification and Slicing for Soil Compaction Pit Volume Calculation. [PDF]
Han C, Wei J, Shen T, Guo C.
europepmc +1 more source
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos +3 more
wiley +1 more source
A Kyber-Based Lightweight Cloud-Assisted Authentication Scheme for Medical IoT. [PDF]
Yan H, Wang Z, Lin L, Sun J, Liu S.
europepmc +1 more source
Abstract Global energy demand and environmental concerns have intensified the search for renewable and sustainable energy sources. This study thus, focuses on optimizing the transesterification process of waste cooking oil (WCO) using thermally activated basic oxygen furnace slag catalyst calcined at 850°C (BOF 850). The optimization and modelling were
Johra S. Ali, Hillary L. Rutto
wiley +1 more source
Fuzzy Vaults in Biometric Cryptosystems: A Survey of Techniques, Performance, and Applications. [PDF]
Farheen F, Yang WY, Sharma S, Singh S.
europepmc +1 more source
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 +3 more
wiley +1 more source
Design of Reliable, Resilient, and Robust Architecture and Control for Next-Generation Optical-Wireless Networks. [PDF]
Nleya B, Pule B.
europepmc +1 more source
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 +2 more
wiley +1 more source
Sidelobe suppression for cosine-sum window functions via chaotic particle swarm optimization. [PDF]
Dong Z, Chen Y.
europepmc +1 more source
Asymptotic properties of cross‐classified sampling designs
Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley +1 more source

