Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data by Arshad, Muhammad Arbab

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Deep Learning for Dynamic Wildlife Monitoring: A Real-Time Approach by Abdul Basit Mughal (22929001)

Latest Developments in Adapting Deep Learning for Assessing TAVR Procedures and Outcomes by Anas M. Tahir (16870077)

“…Recent advancements in the deep learning (DL) domain can offer a real-time surrogate that can render hemodynamic parameters in a few seconds, thus guiding clinicians to select the optimal treatment option. …”

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

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Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning by MEZAHEM, FATEMA HAMAD

“…By utilizing the power of multiple word representations and deep learning approaches, this work seeks to enhance categorization performance. …”
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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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Deep Learning for Aspect-Based Sentiment Analysis of Government Mobile Apps Reviews by SIYAM, BILAL YACOUB

“…The number of smartphone users in the United Arab Emirates (UAE) has increased by 25% in the last four years (Statista.Com 2018c). …”
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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. …”

Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through... by Masri, Oussama Samer

“…Purpose Establishing the reliability of a new method to check the mean retinal and choroidal reflectivity and using it to find retinal and choroid changes in amblyopia. …”
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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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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. …”

Terahertz Multiple Access: A Deep Reinforcement Learning Controlled Multihop IRS Topology by Muhammad Shehab (16904880)

“…For the second aim, we establish a loose upper bound and employ an exhaustive search <i>(</i><i>E</i><i>S</i><i>)</i> . We employ deep reinforcement learning (DRL) to address both aims, demonstrating its effectiveness in complex scenarios. …”

Ghost-NeRV: Efficient Neural Video Representation via Ghost Convolutions by Shanableh, Tamer

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Shear performance of FRP Reinforced Deep Beams Made of Ultra High Performance Concrete (UHPC) by Salman, Omar

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