Theft Detection Unit For Photo-Votaic Generation in Smart Grid Networks حسب Almadani, Nouf Ahmad

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In-Between Projection Interpolation in Cone-Beam CT Imaging using Convolutional Neural Networks حسب Dweek, Samaa

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Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction حسب Yassine Himeur (14158821)

"…This paper presents an efficient non-intrusive load monitoring framework that consists of the following main components: (i) a novel fusion of multiple time-domain features is proposed to extract appliance fingerprints; (ii) a dimensionality reduction scheme is introduced to be applied to the fused time-domain features, which relies on fuzzy-neighbors preserving analysis based QR-decomposition. …"

Cyberbullying Detection and Abuser Profile Identification on Social Media for Roman Urdu حسب Ayesha Atif (22155133)

"…<p dir="ltr">In today’s digital era, the escalating phenomenon of cyberbullying is a pervasive and growing concern. With the increasing prevalence of social media platforms, such as Twitter, online abusive behavior has become a significant issue that often leads to unpleasant experiences for users. …"

Electrochemical Studies on the Corrosion Behavior of Common Metals in Eutectic Ionic Liquids حسب Alhasan, Rami

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The use of multi-task learning in cybersecurity applications: a systematic literature review حسب Shimaa Ibrahim (22155739)

"…<p dir="ltr">Cybersecurity is crucial in today’s interconnected world, as digital technologies are increasingly used in various sectors. The risk of cyberattacks targeting financial, military, and political systems has increased due to the wide use of technology. …"

A heuristics for HTTP traffic identification in measuring user dissimilarity حسب Adeyemi R. Ikuesan (14157123)

Decoding silent speech: a machine learning perspective on data, methods, and frameworks حسب Adiba Tabassum Chowdhury (19444792)

"…Examining state-of-the-art SSR frameworks, the paper covers important topics such signal processing, feature extraction, ML techniques for decoding and optimizing and assessing the performance of SSR models. We emphasize how deep learning (DL) and ML models have evolved to increase SSR resilience and accuracy. …"

Intelligent scaling for 6G IoE services for resource provisioning حسب Abdullah Alharbi (4173502)

"…IScaler is considered to be made for MEC in Deep Reinforcement Learning (DRL). The paper has considered several requirements for making service placement decisions. …"

A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition حسب Hanif Heidari (22467148)

Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation حسب Rawan AlSaad (14159019)

"…However, in practice, a patient’s visits are irregularly spaced over a relatively long period of time, and disease progression patterns exhibit non-stationarity. …"

Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data حسب Alaa Awad Abdellatif (17151163)

"…<p dir="ltr">Federated Learning (FL) is a distributed learning methodology that allows multiple nodes to cooperatively train a deep learning model, without the need to share their local data. …"

Effect of sulfonated poly (ether ether ketone) on the sensitivity of polyvinylidene fluoride-based resistive humidity sensors حسب 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. …"

Towards electric digital twin grid: Technology and framework review حسب Md. Mhamud Hussen Sifat (17337913)

"…Electric Digital Twin grid can perform online analysis of the grid in real-time and integrates all the past and present data and express the current grid status to the producers and consumers and also predicts the future grid status. …"

Human Action Recognition: A Taxonomy-Based Survey, Updates, and Opportunities حسب Md Golam Morshed (19420537)

"…One of the most challenging issues for computer vision is the automatic and precise identification of human activities. A significant increase in feature learning-based representations for action recognition has emerged in recent years, due to the widespread use of deep learning-based features. …"

Evaluating machine learning technologies for food computing from a data set perspective حسب Nauman Ullah Gilal (17302714)

"…Food computing benefits from technologies based on modern machine learning techniques, including deep learning, deep convolutional neural networks, and transfer learning. …"

A systematic review and meta-analysis on the impact of early vs. delayed pharmacological thromboprophylaxis in patients with traumatic brain injury حسب Muhammad Hamza Shuja (19748620)

"…Early PTP was categorized based on the timing of administration: 1) within 24 h, 2) within 48 h, and 3) within 72 h of hospital admission. …"

A New Flow-Based Approach for Enhancing Botnet Detection Efficiency Using Convolutional Neural Networks and Long Short-Term Memory حسب Mehdi Asadi (12566741)

"…<p dir="ltr">Despite the growing research and development of botnet detection tools, an ever-increasing spread of botnets and their victims is being witnessed. …"

Food fraud detection using explainable artificial intelligence حسب Okan Buyuktepe (17991493)

"…<div><p>Recently, the global food supply chain has become increasingly complex, and its scalability has grown. …"

Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting حسب Abdelkader Baggag (16864140)

"…., its generation, propagation and mitigation, in order to increase operational efficiency and improve livability within smart cities. …"