Generic DFT approach for pattern sensitive faults in word-orientedmemories by Amin, A.A.

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New primitives to AOP weaving capabilities for security hardening concerns by Mourad, Azzam

“…In this paper, we present two new primitives to Aspect-Oriented Programming (AOP) languages that are needed for systematic hardening of security concerns. …”
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Four quadrant robust quick response optimally efficient inverterfed induction motor drive by Islam, S.M.

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Design and analysis of efficient and secure elliptic curve cryptoprocessors. by Al-Somani, Turki Faisal

“…The ability to use smaller keys and computationally more efficient algorithms compared with earlier public key cryptosystems such as RSA and ElGamal are two main reasons why elliptic curve cryptosystems are becoming more popular. …”
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Just-in-time defect prediction for mobile applications: using shallow or deep learning? by Raymon van Dinter (10521952)

“…Traditional machine learning-based defect prediction models have been built since the early 2000s, and recently, deep learning-based models have been designed and implemented. While deep learning (DL) algorithms can provide state-of-the-art performance in many application domains, they should be carefully selected and designed for a software engineering problem. …”

Advanced Quantum Control with Ensemble Reinforcement Learning: A Case Study on the XY Spin Chain by Farshad Rahimi Ghashghaei (20880995)

“…We comprehensively analyse the proposed ensemble learning, including algorithmic details, implementation specifics, and experimental results. …”

Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches by Natasha Akram (20749538)

“…In recent studies, traditional machine learning and deep learning algorithms have been implemented to detect fake job postings; this research aims to use two transformer-based deep learning models, i.e., Bidirectional Encoder Representations from Transformers (BERT) and Robustly Optimized BERT-Pretraining Approach (RoBERTa) to detect fake job postings precisely. …”

An efficient cache replacement strategy for the hybrid cache consistency approach by Haraty, Ramzi A.

“…Nevertheless, caching has its limitations too, due to the limited cache size and the limited bandwidth, which makes the implementation of cache replacement strategy an important aspect for improving the cache consistency algorithms. …”
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Industrial Internet of Things enabled technologies, challenges, and future directions by Shams Forruque, Ahmed

“…For instance, fog computing reduces parking, platform, fuel, and CO2 emissions. A blockchain-based security framework for the cement sector can resolve 51% of security issues and Sybil attacks caused by consensus algorithms like Proof of Work (PoW). …”
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Condenser capacity and hyperbolic perimeter by Mohamed M.S. Nasser (16931772)

“…<p dir="ltr">We study the conformal capacity by using novel computational algorithms based on implementations of the fast multipole method, and analytic techniques. …”

LDSVM: Leukemia Cancer Classification Using Machine Learning by Abdul Karim (417009)

“…This study proposes a novel method using machine learning algorithms based on microarrays of leukemia GSE9476 cells. …”

Synthesis with VHDL. (c2001) by Halawi, Hatem

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Unsupervised outlier detection in multidimensional data by Atiq ur Rehman (14153391)

“…The newly proposed ideas are found efficient in terms of performance, ease of implementation, and computational complexity. Furthermore, two proposed techniques presented in this paper use transformation of data to a unidimensional distance space to detect the outliers, so irrespective of the data’s high dimensions, the techniques remain computationally inexpensive and feasible. …”

FPGA-Based Network Traffic Classification Using Machine Learning by Elnawawy, Mohammed

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Unlocking new frontiers in epilepsy through AI: From seizure prediction to personalized medicine by Majd A. AbuAlrob (22392505)

“…This review examines AI’s transformative potential, its current limitations, and the multidisciplinary initiatives driving its effective implementation in epilepsy care.</p><h2>Other Information</h2> <p> Published in: Epilepsy & Behavior<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.yebeh.2025.110327" target="_blank">https://dx.doi.org/10.1016/j.yebeh.2025.110327</a></p>…”

Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging by Maricar, Mohammed Farook

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An efficient cache replacement strategy for the hybrid cache consistency approach in a mobile environment. (c2008) by Zeitunlian, Aline Michel

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UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks by Ebrahimi, Dariush

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Integrated Energy Optimization and Stability Control Using Deep Reinforcement Learning for an All-Wheel-Drive Electric Vehicle by Reza Jafari (3494018)

“…To evaluate the generalizability of the algorithms, the agents are tested across various velocities, tire–road friction coefficients, and additional scenarios implemented in IPG CarMaker, a high-fidelity vehicle dynamics simulator. …”

Industrial Internet of Things enabled technologies, challenges, and future directions by Shams Forruque Ahmed (16517712)

“…For instance, fog computing reduces parking, platform, fuel, and CO₂ emissions. A blockchain-based security framework for the cement sector can resolve 51% of security issues and Sybil attacks caused by consensus algorithms like Proof of Work (PoW). …”