Pavement Crack Assessment Using Satellite Remote Sensing and Deep Learning Model by Al Adab, Maryam

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A Novel Deep Learning Technique for Detecting Emotional Impact in Online Education by Abu Zitar, Raed

“…Transfer learning for a pre-trained deep neural network is used as well to increase the accuracy of the emotion classification stage. …”
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Deep Learning for Aspect-Based Sentiment Analysis of Government Mobile Apps Reviews by SIYAM, BILAL YACOUB

“…The approach utilized word embeddings to represent the reviews as vectors and inducted them into the input layer of the deep learning model. The proposed CNN framework consisted of three hidden layers: convolutional, pooling and classification. …”
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Hybrid deep learning based threat intelligence framework for Industrial IoT systems by Jahanzaib Malik (23718816)

“…The proposed approach was also compared against several contemporary deep learning-based architectures and existing benchmark algorithms. …”

Just-in-time defect prediction for mobile applications: using shallow or deep learning? by Raymon van Dinter (10521952)

“…Traditional machine learning-based defect prediction models have been built since the early 2000s, and recently, deep learning-based models have been designed and implemented. …”

Hand-Crafted Features with Simple Deep Learning Architectures for Human Activity Recognition by Albadawi, Yaman Sufian

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Comparative Analysis of Supervised Machine and Deep Learning Algorithms for Kyphosis Disease Detection by Alok Singh Chauhan (8264985)

“…While the calculations were being performed, certain variables were modified. The accuracy was increased by optimizing the fit parameters based on Hyperparameter tuning. …”

Customer Service and Satisfaction in the three main Airports of the United Arab Emirates by Taliah, AbdelRahman Rashid Bin

“…The statistical analysis also proved that Dubai International Airport is doing significantly better than the other 2 airports in 3 of the criteria set, while there was no clear difference between the three airports on the remaining 2 criteria. …”
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Para-Oleum 2 Fluid (POF): A Novel Magnetic Nanotechnology for Increased Oil Recovery from Contaminated Soil and Oil Spill Incidents by Aizere Andossova (23752959)

Wound healing potential of quercetin-3-O-rhamnoside and myricetin-3-O-rhamnoside isolated from Pistacia lentiscus distilled leaves in rats model by Wiem Elloumi (17148337)

“…In the current study, Pistacia lentiscus distilled leaves (PDL) extract and its two isolated glycosylated flavonoids, myricetin-3-O-rhamnoside (MM) and quercetin-3-O-rhamnoside (QM), were evaluated for their wound healing activity, including evaluation of wound closure, revascularization, wound re-epithelialization, fibroblast proliferation, and collagen deposition on rat skin samples. …”

In-situ grown ternary metal hydroxides@3D oriented crumpled V₂C MXene sheets for improved electrocatalytic oxygen evolution reaction by Iqbal, Anum

“…The efficiency of these redox active sites could be efficiently improved by coupling with highly conductive substrate. The advanced three-dimensional (3D) architecture and hydrophilic terminal functionalities of MXene (MX) considerably enhance the maximum utilization rate of anchored redox active sites by triggering the direct growth of these at MX substrate. …”
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Evaluation of 3D Concrete Printing in the United Arab Emirates by Alchaar, Aktham S.

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Complex structural contribution of the morphotropic phase boundary in Na0.5Bi0.5TiO3 - CaTiO3 system by Roukos, Roy

“…The correlation between structure and dielectric properties of lead-free (1-x)Na0.5Bi0.5TiO3 - xCaTiO3 ((1-x)NBT - xCT) polycrystalline ceramics was investigated systematically by X-ray diffraction, combined with impedance spectroscopy for dielectric characterizations. …”
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Review on COVID-19 diagnosis models based on machine learning and deep learning approaches by Abu Zitar, Raed

“…Therefore, many researchers have developed several intelligent techniques, such as deep learning (DL) and machine learning (ML), which can assist the healthcare sector in providing quick and precise COVID-19 diagnosis. …”
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Content-Aware Adaptive Video Streaming Using Actor-Critic Deep Reinforcement Learning by Amer, Hala Nagi

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Physical Properties of (BaSnO _ 3) _ x/Cu _ 0.5 Tl _ 0.5 Ba _ 2 Ca _ 2 Cu _ 3 O _ 10-δ (BaSnO 3) x/Cu 0.5 Tl 0.5 Ba 2 Ca 2 Cu 3 O 10-δ Superconductor Composite by Srour, A.

“…A complete study about the vibration modes of different atoms was carried out using Fourier transform infrared (FTIR) absorption spectroscopy of (BaSnO3)_x/CuTl-1223 composite. The increase in {T_c} and {J_c} up to x=0.25 wt% is an evidence for improving the superconducting properties of (BaSnO3)_x/CuTl-1223 composites by enhancing both the inter-grains coupling and volume fraction of the (CuTl)-1223 phase.…”
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Three-way decision-based conditional probabilities by opinion scores and Bayesian rules in circular-Pythagorean fuzzy sets for developing sustainable smart living framework by A. Alsattar, Hassan

“…To address these challenges, three-way decisions (TWD) and multicriteria decision-making (MCDM) can serve as a valuable solution for city planners and decision-makers. …”
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Advancing Coherent Power Grid Partitioning: A Review Embracing Machine and Deep Learning by Mohamed Massaoudi (16888710)

“…Subsequently, state-of-the-art research that envisions the use of clustering-based machine learning and deep learning-based solutions for PGP is presented. …”

Artificial Intelligence Chatbots: A Survey of Classical versus Deep Machine Learning Techniques by A. Alazzam, Bayan

“…In addition to classical ML techniques, Deep Learning (DL) has attracted many researchers to develop chatbots using more sophisticated and accurate techniques. …”
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Deep Gabor Neural Network for Automatic Detection of Mine-Like Objects in Sonar Imagery by Hoang Thanh Le (18940666)

“…<p dir="ltr">With the advances in sonar imaging technology, sonar imagery has increasingly been used for oceanographic studies in civilian and military applications. …”