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Accurate prediction of dynamic viscosity of polyalpha-olefin boron nitride nanofluids using machine learning
(
Elsevier
, 2023 , Article)
This study focuses on predicting the dynamic viscosity of nanofluids, specifically Polyalpha-Olefin-hexagonal boron nitride (PAO-hBN) using machine learning models. The primary goal of this research is to assess and contrast ...
Development of Inorganically Cross-Linked Sulfonated Polyacrylamide Preformed Particle Gels for Conformance Control: Impact of Anionic Groups
(
American Chemical Society (ACS)
, 2024 , Article)
Modern oil and gas extraction faces challenges, notably from the surplus of produced water, hampering hydrocarbon recovery and raising environmental and economic concerns. A promising solution is the injection of preformed ...
The impact of urban design on mental well-being by integrating green spaces in Doha City, Qatar
(
EnPress Publisher, LLC
, 2024 , Article)
The fields of urban design and public health play an important role in the success and failure of the city. Research combining the two fields to improve citizens’ lives is rare, particularly in a rapidly developing city ...
Hybrid fuzzy sliding mode for stick-slip suppression in drill string systems
(
Korean Society of Mechanical Engineers
, 2022 , Article)
Stick-slip vibration is one of the main factors that contribute greatly to reducing the service life of drill string equipment and decreasing the efficiency of the overall drilling system. Thus, it would be very desirable ...
Effect of Waste Tire Rubber on Properties of Asphalt Cement and Asphalt Concrete Mixtures: State of the Art
(
Springer Nature
, 2023 , Article)
This research paper aims at providing a comprehensive analysis of the effect of the addition of waste tire rubber to asphalt mix and its properties. Having reviewed several published research papers, it is concluded that ...
Review of innovative approaches of thermo-mechanical refrigeration systems using low grade heat
(
Hindawi
, 2020 , Article)
Cooling and refrigeration systems consume around 17% of the world-wide electricity. Enhancing the performance of these systems, using renewable energy resources and waste heat recovered from industrial processes, will lead ...
Synergetic effects of dodecylamine-functionalized graphene oxide nanoparticles on antifouling and antibacterial properties of polysulfone ultrafiltration membranes
(
Elsevier
, 2021 , Article)
The potential use of dodecylamine-functionalized graphene oxide (rGO-DDA) nanoparticles as an antifoulant and antibacterial nanofiller was investigated. GO and rGO-DDA were analyzed using Raman spectroscopy, FTIR, SEM, ...
The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer
(
Elsevier
, 2023 , Article)
IntroductionHER-2/neu is a protein present on the surface of specific cancer cells and has been linked to the development and progression of certain cancer types. It is present in 15 to 20% of breast cancers and is clinically ...
Development of a stacked machine learning model to compute the capability of ZnO-based sensors for hydrogen detection
(
Elsevier
, 2024 , Article)
Zinc oxide (ZnO) nanocomposite sensors decorated with various dopants are popular tools for detecting even low hydrogen (H2) concentrations. The nanocomposite's chemistry, temperature, and H2 concentration impact the success ...
Microservice instances selection and load balancing in fog computing using deep reinforcement learning approach
(
Elsevier
, 2024 , Article)
Fog-native computing is an emerging paradigm that makes it possible to build flexible and scalable Internet of Things (IoT) applications using microservice architecture at the network edge. With this paradigm, IoT applications ...