Deep Learning for Aspect-Based Sentiment Analysis of Government Mobile Apps Reviews by SIYAM, BILAL YACOUB

“…Our approach uses Convolutional Neural Network (CNN) framework which is one of the deep learning approaches. Deep learning is chosen in this study over other approaches since it requires less human intervention and less effort in features engineering. …”
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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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Hand-Crafted Features with Simple Deep Learning Architectures for Human Activity Recognition by Albadawi, Yaman Sufian

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Landslide detection in real-time social media image streams by Ferda Ofli (8983517)

“…In contrast, as a non-traditional data source, social media has been increasingly used in many disaster response and management studies in recent years. …”

Modeling of tri-parameter contracts integrating cost, time and risk by Rabie, Mohamad M.

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

“…<p dir="ltr">Although Kyphosis, an excessive forward rounding of the upper back, can occur at any age, adolescence is the most common time for Kyphosis. Surgery is frequently performed on Kyphosis patients; however, the condition may persist after the operation. …”

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. …”

Ambulatory general urgent clinic: an initiative at the time of COVID-19 pandemic by Abdullah Al-Hothi (18505290)

“…Long waiting time to get an appointment is a universal challenge that increased during the COVID-19 pandemic. …”

Survival Misperceptions, Time Inconsistency, and Implications for Life-cycle Saving and Welfare by Gahramanov, Emin

“…Resulting time-inconsistent optimal control problem has been analytically solved. …”
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A GENERAL REAL-TIME DECODER BASED ON AMD2900 DEVICES by SOOMRO, AA

“…Two strategies are adapted to increase throughput of the decoder for real-time decoding. …”
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Metaverse and financial markets: A quantile-time-frequency connectedness analysis by Ahmet Faruk Aysan (11902115)

Navigating Turbulent Times: Teachers' Perspectives on School Principal Leadership Styles by Haidar, Nour Amne

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Anterior ankle impingment syndrome is less frequent, but associated with a longer absence and higher re-injury rate compared to posterior syndrome: a prospective cohort study of 67... by Pieter D’Hooghe (3530984)

“…In our study, ankle impingement was the cause of time loss in less than 0.5% of all injuries. PAIS was more frequently reported than AAIS, but AAIS was associated with more absence days and a higher re-injury rate than PAIS. …”

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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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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The impacts of tablet use for eliminating the time-space barriers in university education by Uzunoglu, Sarphan

“…It is found out that average class success increased by %8 compared to previous years, mobilization and online interaction level increased, average time spent for class increased and 3G was used more than Wifi technologies during the semester that enables the mobility and allows time-space independency for the students.…”
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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. …”