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Now showing items 11-20 of 21
Estimating the Relative Crystallinity of Biodegradable Polylactic Acid and Polyglycolide Polymer Composites by Machine Learning Methodologies
(
MDPI
, 2022 , Article)
Biodegradable polymers have recently found significant applications in pharmaceutics processing and drug release/delivery. Composites based on poly (L-lactic acid) (PLLA) have been suggested to enhance the crystallization ...
Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques
(
MDPI
, 2021 , Article)
Plants are a major source of food for the world population. Plant diseases contribute to production loss, which can be tackled with continuous monitoring. Manual plant disease monitoring is both laborious and error-prone. ...
Brain mr image enhancement for tumor segmentation using 3d u-net
(
MDPI
, 2021 , Article)
MRI images are visually inspected by domain experts for the analysis and quantification of the tumorous tissues. Due to the large volumetric data, manual reporting on the images is subjective, cumbersome, and error prone. ...
Examining engineering students' perceptions of learner agency enactment in problem- and project-based learning using Q methodology
(
John Wiley and Sons Inc
, 2022 , Article)
Background: Few studies have reported how students enact learner agency in a team setting or examined what elements of team settings students perceive as more supportive of their learning in problem- and project-based ...
Differentiation among stability regimes of alumina-water nanofluids using smart classifiers
(
Techno Press
, 2022 , Article)
Nanofluids have recently triggered a substantial scientific interest as cooling media. However, their stability is challenging for successful engagement in industrial applications. Different factors, including temperature, ...
Application of Green Polymeric Nanocomposites for Enhanced Oil Recovery by Spontaneous Imbibition from Carbonate Reservoirs
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
This study experimentally investigates the effect of green polymeric nanoparticles on the interfacial tension (IFT) and wettability of carbonate reservoirs to effectively change the enhanced oil recovery (EOR) parameters. ...
Modeling of permeability impairment dynamics in porous media: A machine learning approach
(
Elsevier
, 2023 , Article)
The prediction of clogging and permeability impairment dynamics in porous media is crucial for the optimization of various industrial and natural processes. This paper presents a novel machine learning-based approach for ...
IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
Colorectal polyps in the colon or rectum are precancerous growths that can lead to a more severe disease called colorectal cancer. Accurate segmentation of polyps using medical imaging data is essential for effective ...
Robust and General Model to Forecast the Heat Transfer Coefficient for Flow Condensation in Multi Port Mini/Micro‐Channels
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2022 , Article)
A general correlation for predicting the two‐phase heat transfer coefficient (HTC) during condensation inside multi‐port mini/micro‐channels was presented. The model was obtained by correlating the two‐phase multiplier, ...
Explainable deep learning model for automatic mulberry leaf disease classification
(
Frontiers Media SA
, 2023 , Article)
Mulberry leaves feed Bombyx mori silkworms to generate silk thread. Diseases that affect mulberry leaves have reduced crop and silk yields in sericulture, which produces 90% of the world’s raw silk. Manual leaf disease ...