Con-Detect: Detecting Adversarially Perturbed Natural Language Inputs to Deep Classifiers Through Holistic Analysis by Hassan Ali (3348749)

“…<p>Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …”

Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis by Hassan, Ali

“…Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …”
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Advanced Technology in Agriculture Industry by Implementing Image Annotation Technique and Deep Learning Approach: A Review by Normaisharah Mamat (19517623)

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

Optimising the Role of Innovative Technologies in Risk Management Strategies for Extension of Time Disputes Avoidance by KREIDLI, ISMAIL KHALIL

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An empirical evaluation of the technology cycle time indicator as ameasure of the pace of technological progress in superconductortechnology by Kayal, A.A.

“…This study found the trend in TCT changed abruptly from gradually increasing (slowing in cycle time) to steadily decreasing (speeding up in cycle time) following the discovery of high-temperature superconductors. …”
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A Stackelberg Game Inspired Model of Real-Time Economic Dispatch with Demand Response by Shakrina, Youssef

“…Additionally, environmental concerns may arise from several physical limitations in the network that would increase gas emission besides adding extra generation costs. …”
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Real-Time Implementation of GPS Aided Low Cost Strapdown Inertial Navigation System by Sahawneh, Laith Rasmi

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Deep learning-based cross-device standardization of surface-enhanced Raman spectroscopy for enhanced bacterial recognition by Sakib Mahmud (22652357)

“…The combined framework requires only 6.6 million parameters, a compact 9 MB footprint, and a 3.27 ms inference time, making it well-suited for portable deployment. …”

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

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The Impact of Arabic Part of Speech Tagging on Sentiment Analysis: A New Corpus and Deep Learning Approach by 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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DiaNet v2 deep learning based method for diabetes diagnosis using retinal images by 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. …”

Electromagnetic wave effects on microwave transistors using afull-wave time-domain model by Al-Sunaidi, M. A.

“…A detailed full-wave time-domain simulation model for the analysis of electromagnetic effects on the behavior of the submicrometer-gate field-effect transistor (FET's) is presented. …”

QuicTor: Enhancing Tor for Real-Time Communication Using QUIC Transport Protocol by Lamiaa Basyoni (16896426)

Timing and size of flow impingement in a giant intracranial aneurysm at the internal carotid artery by Jou, Liang-Der

“…Flow impingement at the dome occurs approximately 0.11 s after the peak of flow waveform is attained. This time delay also increases with aneurysm size and varies with heart rate and waveform.…”
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An Efficient Framework for Multi-DER Integration in Distribution Networks With Time-Series Demand Flexibility by Mohamed Massaoudi (16888710)

“…<p dir="ltr">The increasing penetration of renewable energy sources (RESs) has transformed power system operations. …”

Suspicious Behavior Detection with Temporal Feature Extraction and Time-Series Classification for Shoplifting Crime Prevention by Nazir, Amril

“…The rise in crime rates in many parts of the world, coupled with advancements in computer vision, has increased the need for automated crime detection services. …”
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Enhancing the properties and performance of polysulfone ultrafiltration membranes using citric acid based deep eutectic solvent additives by 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). …”

A Real-Time Energy Management System Across Diverse Energy Sectors in Smart Cities by Alshamsi, Aisha Rashid

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Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection by Mamun Or Rashid (21976373)

“…Specifically, the binary classification yielded a 96.58% accuracy with vision-based data, which increased to 97.31% when steering, breathing rate, and heart rate data were included. …”

Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation by Mostafa M., Shibl

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