A Novel Versatile Framework for Enabling Early Detection of Evolving Network-based Cyberattacks by THOMAS, RAJESH

“…Network-based cyber-attacks have been increasing in scale, frequency and sophistication, posing significant threats to nation states and organizations worldwide. …”
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How circular economy can reduce scope 3 carbon footprints: Lessons learned from FIFA world cup Qatar 2022 by Hana Yousef, Al Sholi

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Prioritizing the multi-criterial features based on comparative approaches for enhancing security of IoT devices by Habib Ullah Khan (12024579)

“…The future challenge is to address the incompatibility of the authentication feature with IoT devices based on appropriate technologies. AI and machine learning are also implementable in order to detect the vulnerability of IoT devices and inform the concerned operator or administration for protection. …”

Prioritizing the multi-criterial features based on comparative approaches for enhancing security of IoT devices by Habib Ullah, Khan

“…The future challenge is to address the incompatibility of the authentication feature with IoT devices based on appropriate technologies. AI and machine learning are also implementable in order to detect the vulnerability of IoT devices and inform the concerned operator or administration for protection. …”
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SER inspired deep learning approach to detect cardiac arrhythmias in electrocardiogram signals using Temporal Convolutional Network and graph neural network by Samin Yaser (22803530)

“…These results demonstrate the potential of graph-based deep learning for efficient and accurate ECG analysis in resource-constrained medical settings.…”

Developing an online hate classifier for multiple social media platforms by Joni Salminen (7434770)

A genetic-based fuzzy logic power system stabilizer formultimachine power systems by Abido, M.A.

“…It is shown in this paper that the performance of FLPSS can be improved significantly by incorporating a genetic-based learning mechanism. …”
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FlashDetR: A deep learning pipeline for early detection and time estimation of flashover in high-voltage insulators using infrared videos by Najmath Ottakath (17430912)

“…This study introduces an innovative deep learning-based approach for early prediction of flashover events and time-to-flashover estimation by analyzing infrared videos of dry band arcing, a known precursor to flashover. …”

Email Spam: A Comprehensive Review of Optimize Detection Methods, Challenges, and Open Research Problems by Ekramul Haque Tusher (21324362)

“…Traditional identification techniques like blocklists, real-time blackhole listing, and content-based methods have limitations. These limitations have led to the advancement of more sophisticated machine learning (ML) and deep learning (DL) methods for enhanced spam detection accuracy. …”

R²S100K: Road-Region Segmentation Dataset for Semi-supervised Autonomous Driving in the Wild by Muhammad Atif Butt (10849980)

“…Our experimental results demonstrate that the proposed method significantly improves learning methods in generalizability and reduces the labeling cost for semantic segmentation tasks. …”

Cyber-risk Mitigation Strategies and the Role of Artificial Intelligence in Mitigating Cyber-Risks: The Case of the United Arab Emirates Transport Sector by ALYAMMAHI, ALI SAEED ALI AHMED

“…The key research findings based on the theoretical and practical data showed that there is a significant relationship between cybersecurity considerations and cyber-risk mitigation and also there is a significant relationship between employing artificial intelligence (AI) adoption and cyber-risk mitigation. …”
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Evaluating the impact of the COVID-19 pandemic on the geospatial distribution of buildings' carbon footprints associated with electricity consumption by Esmat Zaidan (16855203)

“…<p>The carbon footprint (CF) linked to electricity consumption in buildings has become a significant environmental issue because of its significant role in greenhouse gas emissions. …”

Effects and Perceptions of Game-Based Formative Assessment on Vocabulary Acquisition in EFL Primary Classrooms in the UAE by ALABEDI, FARAH

“…Furthermore, the interviews conducted with EFL teachers confirmed a consensus among them regarding the positive effect of Quizlet on vocabulary learning. Limitations and recommendations were addressed based on the main results of this research.…”
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Comparative Analysis of Engagement and Academic Self‐Concept among Nursing Students: Differences in Study Modalities by Esraa Elsayed Rushdan (20884220)

“…Participants were divided into groups based on their involvement in online, hybrid, or in‐person study modes. …”

A comparative analysis to forecast carbon dioxide emissions by Md. Omer Faruque (17545671)

“…This leads to the second step, which involves formulating the multivariate time series CO₂ emissions forecasting challenges considering its influential factors. Based on multivariate time series prediction, four deep learning algorithms are analyzed in this work, those are convolution neural network (CNN), CNN long short-term memory (CNN–LSTM), long short-term memory (LSTM), and dense neural network (DNN). …”

Explainable phishing website detection for secure and sustainable cyber infrastructure by Tanzila Kehkashan (20748842)

GearFaultNet: Novel Network for Automatic and Early Detection of Gearbox Faults by Proma Dutta (19459567)

“…This research presents GearFaultNet, a novel, lightweight 1D Convolutional Neural Network (CNN)-based network, designed to detect gearbox faults. …”

A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method by Amit Kumar Balyan (18288964)

“…An intrusion detection system (IDS) is the most promising solution for preventing malicious intrusions and tracing suspicious network behavioral patterns. Machine learning (ML) methods are widely used in IDS. Due to a limited training dataset, an ML-based IDS generates a higher false detection ratio and encounters data imbalance issues. …”

The Role of Professional Development on Teacher’s Performance: A Case Study Among Teachers in a Private School in Dubai by AlAbbassi, Mona

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Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition by Abboud, Ralph

“…However, few methods have targeted sentiment-based music composition: generating music that expresses human emotions. …”
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