From time-series to 2D images for building occupancy prediction using deep transfer learning حسب Aya Nabil Sayed (17317006)

"…Moreover, machine learning (ML) and deep learning (DL) techniques are utilized to classify occupancy patterns. …"

The Impact of Arabic Part of Speech Tagging on Sentiment Analysis: A New Corpus and Deep Learning Approach حسب Munem Nerabie, Abdul

"…Furthermore, our proposed corpus was used to train a custom Long Short-Term Memory deep learning model and showed excellent performance in terms of sentiment classification accuracy and F1-score. …"
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Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring حسب Zina Chkirbene (16869987)

"…Addressing these challenges, this paper introduces the Deep Reinforcement Learning for Live Video Transmission (DRL-LVT) framework. …"

DiaNet v2 deep learning based method for diabetes diagnosis using retinal images حسب Hamada R. H. Al-Absi (16726299)

"…This study explores an alternative approach involving retinal images, building upon the DiaNet model, the first deep learning model for diabetes detection based solely on retinal images. …"

Deep learning-based cross-device standardization of surface-enhanced Raman spectroscopy for enhanced bacterial recognition حسب Sakib Mahmud (22652357)

"…Quantitative results show that SERS-D2DNet reduced mean absolute error to 0.01 and increased R² to over 98 % across devices, while SuperRaman achieved up to 100 % classification accuracy post-transformation. …"

The effect of Dopamine Agonists on patients with advanced Parkinson's disease subjected to subthalamic deep brain stimulation. (c2000) حسب Jabre, Mazen Gerges

"…The mean levodopa dose was reduced by 90% (p < 0.01), while the mean dopamine agonist dose was increased by 15% from preoperative level. …"
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Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation حسب Mostafa M., Shibl

"…Thus, a power system management solution is required to protect the distribution grid from the harmful effects of EVs charging through the regulation of the charging of EVs. In this paper, a deep RL-based EVs charging management solution is presented, while considering fast charging, conventional charging and V2G operation, in order to satisfy the requirements of the user and the utility. …"
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Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation حسب Mostafa M. Shibl (17821382)

"…Thus, a power system management solution is required to protect the distribution grid from the harmful effects of EVs charging through the regulation of the charging of EVs. In this paper, a deep RL-based EVs charging management solution is presented, while considering fast charging, conventional charging and V2G operation, in order to satisfy the requirements of the user and the utility. …"

Enhancing the properties and performance of polysulfone ultrafiltration membranes using citric acid based deep eutectic solvent additives حسب Yousef Elhamarnah (17869382)

"…<p>This study focuses on improving the performance of polysulfone (PSF) membranes through modification with a Deep Eutectic Solvent (DES) composed of Citric Acid (CA) and Choline Chloride (ChCl). …"

Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection حسب Mamun Or Rashid (21976373)

A 5-year trend in the use of sodium-glucose co-transporter 2 inhibitors and other oral antidiabetic drugs in a Middle Eastern country حسب Nancy Zaghloul (14147865)

Electric Vehicles Charging Station Load Forecasting Integration With Renewable Energy Using Novel Deep EfficientBiLSTMNet حسب Vineet Dhanawat (22361395)

"…This paper proposes an efficient deep BiLSTMNet model to solve and mitigate these problems. …"

Two-Stage Deep Learning Solution for Continuous Arabic Sign Language Recognition Using Word Count Prediction and Motion Images حسب Shanableh, Tamer

"…CNN transfer learning is used to convert each of these motion images into a feature vector which is used for either model generation or sign language recognition. As such, two deep learning models are generated; one for predicting the number of words per sentence and the other for recognizing the meaning of the sign language sentences. …"
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Predictors of prolonged hospitalization among geriatric trauma patients using the modified 5-Item Frailty index in a Middle Eastern trauma center: an 11-year retrospective study حسب Husham Abdelrahman (768893)

"…The female/male ratio was 17.5%/82.5%, and the mean injury severity score was 13 ± 9. …"

Deciphering the In vitro Role of microRNAs miR-21-3p and miR-222-5p In the Regulation of Clostridioides difficile Flagellin-Induced Inflammation حسب Salman, Zeina

"…Functional assays revealed that miR-222-5p overexpression led to a significant increased expression of key pro-inflammatory cytokines, including IL-8 and TNF-α, while knockdown of these miRNAs resulted in their decreased expression. …"
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The molecular mechanisms of apoptosis accompanied with the epigenetic regulation of the NY-ESO-1 antigen in non-small lung cancer cells treated with decitabine (5-aza-CdR) حسب Varghese P. Inchakalody (14557382)

"…These results reiterate the decisive role of 5-Aza-CdR in lung cancer treatment since it induces the epigenetic regulation of NY-ESO-1 antigen, inhibits cell proliferation, increases apoptosis, and decreases invasiveness.…"

OSRA Grant Cycle 5 Public Reports : Project Title: Coping with prenatal bereavement and perceived stress in current pregnancy: correlates to parental perception of the child and bo... حسب Pia Tohme Khalaf (17425551)

Assessment of tropospheric NO₂ concentrations over greater Doha using Sentinel-5 TROPOspheric monitoring instrument (TROPOMI) satellite data: Temporal analysis, 2018–202... حسب Yasir E. Mohieldeen (22155901)

AgroAId: A Mobile App System for Visual Classification of Plant Species and Diseases Using Deep Learning and TensorFlow Lite حسب Reda, Mariam

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A BRET-based Mpro biosensor containing a nanobody and tandem cleavage sites shows an increased cleavage rate حسب Geethakumari, Anupriya M

"…We envisage that the NB2E3 nanobody-2× Mpro biosensor engineered here will be useful in drug discovery and functional characterization of Mpro mutants in newly emerging SARS-CoV-2 variants as well as in detecting SARS-CoV-2 infection in a point-of-care testing (POCT) format.…"
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