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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 ...
Personal Data Stores (PDS): A Review
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
Internet services have collected our personal data since their inception. In the beginning, the personal data collection was uncoordinated and was limited to a few selected data types such as names, ages, birthdays, etc. ...
Fuzzy Logic in neurosurgery: predicting poor outcomes after lumbar disk surgery in 501 consecutive patients
(
Elsevier
, 2009 , Article)
Background: Despite a lot of research into patient selection, a significant number of patients fail to benefit from surgery for symptomatic lumbar disk herniation. We have used Fuzzy Logic-based fuzzy inference system (FIS) ...
Bi-attention DoubleUNet: A deep learning approach for carotid artery segmentation in transverse view images for non-invasive stenosis diagnosis
(
Elsevier
, 2024 , Article)
The carotid artery is a vital blood vessel that supplies oxygenated blood to the brain. Blockages in this artery can lead to life-threatening illnesses, making accurate diagnosis essential. While ultrasound (US) imaging ...
Developing ANN-Kriging hybrid model based on process parameters for prediction of mean residence time distribution in twin-screw wet granulation
(
Elsevier B.V.
, 2019 , Article)
Artificial neural network (ANN) modelling is applied to predict the mean residence time of pharmaceutical formulation in a twin-screw granulator. Process parameters including feed flow rate, screw speed, and liquid to solid ...
The size and performance of offshore produced water oil-removal technologies for reinjection
(
Elsevier
, 2014 , Article)
Produced water (PW) is wastewater generated from oil exploration, and requires treating for oil and suspended solids removal. The viability of an effluent treatment unit process for this duty is dependent both on its ...
Effect of gas templating of resorcinol-formaldehyde xerogels on characteristics and performances of subsequent activated carbons
(
Elsevier Ltd
, 2019 , Article)
Gas-templated resorcinol formaldehyde-activated carbon xerogels (GT-RF-ACXs) were prepared from resorcinol-formaldehyde xerogels that were templated by infusing different gases (e.g., nitrogen, oxygen, methane, ethylene, ...