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141
Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms
منشور في 2022"…While the previous studies mostly used ANN to demonstrate the capability of MLs to predict PG over the mechanistic or correlation-based models, the present research has shown that GP is even better than ANN using a wide range of FPs and a large data set.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Petroleum Science and Engineering<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.petrol.2021.109265" target="_blank">https://dx.doi.org/10.1016/j.petrol.2021.109265</a></p>…"
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142
A systematic review of recent advances in the application of machine learning in membrane-based gas separation technologies
منشور في 2024"…<p dir="ltr">Machine learning (ML) has proven to be an effective tool for accelerating the discovery of high-performance <u>polymeric membranes</u> and materials for gas separation. …"
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143
DiaNet: A Deep Learning Based Architecture to Diagnose Diabetes Using Retinal Images Only
منشور في 2021"…Comparing the performance of DiaNet against the existing clinical data-based machine learning models, we conclude that the retinal images contain sufficient information to distinguish the Qatari diabetes cohort from the control group. …"
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144
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A novel few shot learning derived architecture for long-term HbA1c prediction
منشور في 2024"…Short-term CGM time-series data are processed using both novel image transformation approaches, as well as using conventional signal processing methods. …"
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146
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147
Examining engineering students' perceptions of learner agency enactment in problem‐ and project‐based learning using Q methodology
منشور في 2023"…<p></p><div> <h3> Background</h3> <p>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 learning (PBL) processes.…"
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148
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149
Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods
منشور في 2023"…</p><h2>Other Information</h2> <p> Published in: Biomedical Signal Processing and Control<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.bspc.2023.104715" target="_blank">https://dx.doi.org/10.1016/j.bspc.2023.104715</a></p>…"
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150
A dual-stage deep learning approach for robust detection and identification of hardware trojans using monte-carlo dropout
منشور في 2025"…The results demonstrate the effectiveness and applicability of the dual-path deep learning framework for hardware Trojan detection.</p><h2>Other Information</h2><p dir="ltr">Published in: International Journal of Information Security<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1007/s10207-025-01049-5" target="_blank">https://dx.doi.org/10.1007/s10207-025-01049-5</a></p>…"
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151
PFT: A Novel Time-Frequency Decomposition of BOLD fMRI Signals for Autism Spectrum Disorder Detection
منشور في 2023"…To date, most ASD studies have relied primarily on the operational connectivity and structural metrics of fMRI data processing while neglecting the temporal dynamics components. …"
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152
CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
منشور في 2023"…Among the task-specific models, the SVM trained on word data achieved the highest accuracy of 91.7%. In the case of ensemble learning, soft voting ensembles of task-specific CNNs achieved an accuracy of 90.4%. …"
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153
Zooming Into Clarity: Image Denoising Through Innovative Autoencoder Architectures
منشور في 2024"…<p dir="ltr">In today’s era of increasing data complexity and pervasive noise, robust techniques for data processing, reconstruction, and denoising are crucial. …"
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154
Metamorphic relation automation: Rationale, challenges, and solution directions
منشور في 2022"…The results show that this field is still in its infancy with opportunities for novel work, especially in methods utilizing machine learning.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Software: Evolution and Process<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1002/smr.2509" target="_blank">https://dx.doi.org/10.1002/smr.2509</a></p>…"
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155
DoFP-ML: A Machine Learning Approach to Food Quality Monitoring Using a DoFP Polarization Image Sensor
منشور في 2020"…The proposed system uses Machine Learning Systems namely, Support Vector Regression (SVR) and Gaussian Process Regression (GPR), to estimate the age of apples and determine if they are fit for consumption even before the external rot appears on the fruit. …"
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156
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157
A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security
منشور في 2023"…Here, the Quantized Identical Data Imputation (QIDI) mechanism is implemented at first for data preprocessing and normalization. …"
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158
TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
منشور في 2020"…However, high dimensional data present a significant challenge for machine learning techniques. …"
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