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. …”

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

“…In this study, a novel process was used to reduce the column results to develop a faster and more rapid experiment execution.</p><h2>Other Information</h2><p dir="ltr">Published in: Computers, Materials & Continua<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.32604/cmc.2022.021218" target="_blank">https://dx.doi.org/10.32604/cmc.2022.021218</a></p>…”

LOCATING DAMAGES IN THIN ALUMINIUM PLATES USING LAMB WAVES AND AGENETIC OPTIMIZATION APPROACH by A. Masurkar, Faeez

“…The lamb wave signals for interrogating the plate structure are obtained using experiments and a sparse array of four piezoelectric wafer (PW) transducers. …”
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Diagnosing failed distribution transformers using neural networks by Farag, A.S.

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Optimizing ADWIN for Steady Streams by Moharram, Hassan

“…However, the drift detection accuracy of these variants was not compared with the original algorithm. Moreover, there is no study concerning the memory consumption of the variants and the origi nal algorithm. …”
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Edge Caching in Fog-Based Sensor Networks through Deep Learning-Associated Quantum Computing Framework by Tayyabah Hasan (18427887)

“…Firstly, the DL agent prioritizes caching contents via self organizing maps (SOMs) algorithm, and secondly, the prioritized contents are stored in QMM using a Two-Level Spin Quantum Phenomenon (TLSQP). …”

Synthesis with VHDL. (c2001) by Halawi, Hatem

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Design of a TE-pass reflection mode optical polarizer by Khan, M.A.

“…On the other hand guided TM-polarized waves experience very low reflection at the same input end. …”
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The Effectiveness of Supervised Machine Learning in Screening and Diagnosing Voice Disorders: Systematic Review and Meta-analysis by Ghada Al-Hussain (18295426)

“…Both methods have limited standardized tests, which are affected by the clinician’s experience and subjective judgment. Machine learning (ML) algorithms have been used as an objective tool in screening or diagnosing voice disorders. …”

A hybrid Harris Hawks optimizer for economic load dispatch problems by Al-Betar, Mohammed Azmi

“…Furthermore, the proposed algorithm is evaluated on two ELD real-world cases which are 6 units-1263 MW and 15units-2630 MW. …”
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PERF solutions for distributed query optimization. (c1999) by Fany, Roula

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Hybrid Deep Learning-based Models for Crop Yield Prediction by Alexandros Oikonomidis (12050497)

“…The algorithms evaluated in our study are the XGBoost machine learning (ML) algorithm, Convolutional Neural Networks (CNN)-Deep Neural Networks (DNN), CNN-XGBoost, CNN-Recurrent Neural Networks (RNN), and CNN-Long Short Term Memory (LSTM). …”

Cross-linguistic authorship attribution and gender profiling. Machine translation as a method for bridging the language gap by George Mikros (19197997)

“…Computational stylistics experiments were conducted on a Greek blog corpus translated into English using Google’s Neural MT. …”

Process Mining over Unordered Event Streams by Awad, Ahmed

“…This requires online algorithms that, instead of keeping the whole history of event data, work incrementally and update analysis results upon the arrival of new events. …”
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FPGA-Based Network Traffic Classification Using Machine Learning by Elnawawy, Mohammed

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A feature‐based approach for guiding the selection of Internet of Things cybersecurity standards using text mining by Koen Schaaf (14778139)

“…Our case study demonstrated that this approach is effective and efficient for guiding the selection of IoT cybersecurity standards.</p><h2>Other Information</h2><p dir="ltr">Published in: Concurrency and Computation: Practice and Experience<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="http://dx.doi.org/10.1002/cpe.6385" target="_blank">http://dx.doi.org/10.1002/cpe.6385</a></p>…”

Vehicular-OBUs-As-On-Demand-Fogs by Sami, Hani

“…An Evolutionary Memetic Algorithm is elaborated to solve our vehicular container placement problem. …”
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Performance comparison of variable-stepsize IMEX SBDF methods on advection-diffusion-reaction models by Raed Ali Mara'Beh (17337892)

“…Our findings demonstrate the general superiority of Jacobian splitting in several experiments.</p><h2>Other Information</h2> <p> Published in: Computers & Mathematics with Applications<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.camwa.2025.04.002" target="_blank">https://dx.doi.org/10.1016/j.camwa.2025.04.002</a></p>…”

Performance comparison of variable-stepsize IMEX SBDF methods on advection-diffusion-reaction models by Raed Ali Ayesh Marabeh (21142247)

“…Our findings demonstrate the general superiority of Jacobian splitting in several experiments.</p><h2>Other Information</h2><p dir="ltr">Published in: Computers & Mathematics with Applications<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://doi.org/10.1016/j.camwa.2025.04.002" target="_blank">https://doi.org/10.1016/j.camwa.2025.04.002</a></p>…”

MSD-NAS: multi-scale dense neural architecture search for real-time pedestrian lane detection by Sui Paul Ang (18460605)

“…Designing a DNN from scratch is a laborious task that requires significant experience and time. This paper proposes a novel neural architecture search (NAS) algorithm, named MSD-NAS, to automate this laborious task. …”