Results 131 to 140 of about 52,077 (195)

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

An in-depth analysis of UAV path planning, including procedures, algorithms, optimization models, and emerging challenges. [PDF]

MethodsX
Nafees M, Syeda T, Ali A, Farman H, Tayyab M.   +4 more
europepmc   +1 more source

Application of Ultrasonic Sensors for Determining the Height of Dynamic Two‐Phase Layers in Tray Columns

Chemie Ingenieur Technik, EarlyView.
Ultrasonic sensors are evaluated for their applicability in dynamic gas–liquid systems. By comparing sensor data with two independent optical reference methods, their robustness and reliability are demonstrated under varying flow conditions and tray geometries in column systems.
Niklas Breuer, Marcus Grünewald, Julia Riese   +2 more
wiley   +1 more source

Prominence-guided link prediction in fuzzy robotic networks. [PDF]

Sci Rep
Jeyakumar DJ, Rajkumar V, Peter TPD, Gomathi N.   +3 more
europepmc   +1 more source

Random forest regression for catalyst performance prediction and validation of tri‐reforming of methane (TRM)

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Carbon dioxide‐reduced hydrogen can be synthesized through various methods such as dry‐reforming (DRM), steam reforming (SMR), and partial oxidation (POX). Tri‐reforming of methane (TRM) is a promising technology which combines all the above‐mentioned processes for the simultaneous production of hydrogen and syngas with high energy efficiency.
Paulo A. L. de Souza, Raja Muhammad Afzal, Felipe Gomes Camacho, Nader Mahinpey   +3 more
wiley   +1 more source

Integrating NLP and Ensemble Learning into Next-Generation Firewalls for Robust Malware Detection in Edge Computing. [PDF]

Sensors (Basel)
Moila RL, Velempini M.
europepmc   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
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, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Brain Connectivity Estimation Network for the Identification of Dementia. [PDF]

Brain Sci
Xi J, Xia Z, Zhang W, Zhao L.
europepmc   +1 more source

Clathrate hydrate crystallization

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Clathrate hydrate crystallization has been an area of interest to chemical engineers from the point of view of crystal structure, thermophysical properties, phase equilibria, kinetics, industrial applications, and environmental (climate change) implications.
Peter Englezos
wiley   +1 more source

A multi layered encryption framework using intuitionistic fuzzy graphs and graph theoretic domination for secure communication networks. [PDF]

Sci Rep
Meenakshi A, Dhanushiya S, Mrsic L, Kalampakas A, Samanta S.   +4 more
europepmc   +1 more source