Transfer Learning and Sentiment Analysis of Lebanese Dialect Data using a Multilingual Deep Learning Approach حسب Chehade, Mira

"…With the exponential growth in digitally created content and the surge in internet users, the challenges of handling and analyzing large volumes of data have increased, particularly in the context of textual data for sentiment classification. …"
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Advanced Technology in Agriculture Industry by Implementing Image Annotation Technique and Deep Learning Approach: A Review حسب Normaisharah Mamat (19517623)

"…For complicated and ambiguous situations, deep learning technology provides accurate predictions. …"

A study of the development, implementation and perception of the ‘Towards Inclusive Schools Development Programme’ at three government primary schools in Lebanon حسب KASSBAH, ZEINAB YEHYA AGHA

"…The following areas of concern need to be addressed to ensure sustainable development of the programme in the future. …"
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Hand-Crafted Features With A Simple Deep Learning Architecture For Sensor-Based Human Activity Recognition حسب Albadawi, Yaman

"…With the growth in the wearable device market, wearable sensor-based human activity recognition systems have been gaining increasing interest in research because of their rising demands in many areas. …"
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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. …"

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). …"

Managing Online Learning to Support Inclusion During COVID-19 in A Private School in Dubai حسب AL-NAWAISEH, LANA JAMIL

"…Data was collected from teachers, Special educational needs, and disabilities students (SEND) and the inclusion coordinator. …"
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Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation حسب Mostafa M., Shibl

"…Deep RL is utilized to model the EV chargers and the EV users. …"
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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)

"…Deep RL is utilized to model the EV chargers and the EV users. …"

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. Reported adverse events were mild and transient. …"
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Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection حسب Mamun Or Rashid (21976373)

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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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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Acute kidney injury requiring dialysis after endovascular intervention for acute deep venous thrombosis: A case report and literature review حسب Najlaa Essa A. H. Al‐Mannai (21841775)

"…<h3>Key Clinical Message</h3><p dir="ltr">Percutaneous precutaneous mechanical thrombectomy has been used for clot dissolution and removal in selected cases of iliofemoral deep vein thrombosis. Intravascular Hemolysis and hemoglobinuria caused by pharmachomechanical chather directed thrombolysis (PCDT) devices like the Angiojet is associated with an increased risk of acute kidney injury (AKI). …"

Combining Saliency with Prediction for Endoscopic Diagnosis حسب Rezk, Mahmoud

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