Nonclassicality of open circuit QED systems in the deep-strong coupling regime by Tomohiro Shitara (18508206)

“…<p dir="ltr">We investigate theoretically how the ground state of a qubit–resonator (Q–R) system in the deep-strong coupling (DSC) regime is affected by the coupling to an environment. …”

Evaluating Citizens’ Sentiments in Smart Cities: A Deep Learning Approach by Elabora, Abdallah

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Health in times of uncertainty in the eastern Mediterranean region, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013 by Mokdad, Ali H

“…However, diarrhoeal diseases were the leading cause of death in Somalia (186·7 deaths per 100 000 people) in 2013, which decreased by 26·9% since 1990. …”
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Coping mechanisms among Lebanese first-time college students by Doumit, Rita

“…As the usage of withdrawal coping strategies, being exposed to stress related to self and uncertainty increased, the well-being of Lebanese first-time college students decreased. …”
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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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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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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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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)

“…<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. …”

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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Experimental Investigation of FRP-Reinforced Concrete Columns Under Concentric and Eccentric Loading by Elmesalami, Nouran Zinelabdin Ahmed

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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. …”

Effect of sulfonated poly (ether ether ketone) on the sensitivity of polyvinylidene fluoride-based resistive humidity sensors by Shoaib Mallick (14578565)

“…As the concentration of SPEEK increases in the blend film, the hydrophilicity of the composite film also increases, which enhances the sensitivity of the sensing film. …”

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)

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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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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