Search
Now showing items 1861-1870 of 1881
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 ...
Why Is That Relevant? Collecting Annotator Rationales for Relevance Judgments
(
AAAI Press
, 2016 , Conference Paper)
When collecting subjective human ratings of items, it can be difficult to measure and enforce data quality due to task subjectivity and lack of insight into how judges’ arrive at each rating decision. To address this, we ...
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. ...
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 ...
TORT3D: A MATLAB code to compute geometric tortuosity from 3D images of unconsolidated porous media
(
Elsevier B.V.
, 2017 , Article)
Tortuosity is a parameter that plays a significant role in the characterization of complex porous media systems and it has a significant impact on many engineering and environmental processes and applications. Flow in ...
Evaluation of Transit Signal Priority Implementation for Bus Transit along a Major Arterial Using Microsimulation
(
Elsevier B.V.
, 2018 , Conference Paper)
Transit Signal Priority (TSP) provides preferential treatment for public transit vehicles at signalized intersections when implemented. TSP is usually provided by interrupting the typical signal timings and extending the ...
Investigation of Weather Impacts on Pedestrian Volumes
(
Elsevier B.V.
, 2016 , Conference Paper)
This study investigates the impacts of temporal and weather characteristics on pedestrian volumes in a hot climate condition. A major neighborhood located in an urban area in Doha, Qatar was chosen as a case study site. ...