StackDPPred: Multiclass prediction of defensin peptides using stacked ensemble learning with optimized features by Muhammad Arif (769250)

“…Thus, the shortcomings of wet lab experiments are leveraged by computational methods to accurately predict the functional types of DPs. …”

Reinforcement R-learning model for time scheduling of on-demand fog placement by Farhat, Peter

“…We also demonstrate the ability of our model to improve over time by adapting the new demand of users. Experiments comparing the decisions of our model with two other potential fog placement approaches used for task/service scheduling (threshold based and random based) show that the number of processed requests performed by the cloud decreases from 100 to 30% with a limited number of fogs to push. …”
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Color edge enhancement based fuzzy segmentation of license plates by Syed, Y.A.

“…The combined rate for the two phases of our license plate identification algorithm is 94.24%.…”
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Downlink channel estimation for IMT-DS by Faisal, S.

“…To obtain channel estimates during pilot symbols, we propose a chip level adaptive channel estimation which performs better than the conventional method. …”
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Approximate XML structure validation technical report by Tekli, Joe

“…In this paper, we propose an original method for measuring the structural similarity between an XML document and an XML grammar (DTD or XSD), considering their most common operators that designate constraints on the existence, repeatability and alternativeness of XML elements/attributes (e.g., ?…”
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Identification of the Uncertainty Structure to Estimate the Acoustic Release of Chemotherapeutics From Polymeric Micelles by Wadi, Ali

“…The results suggest that the proposed algorithm, the optimal Kalman filter, performs better than the other two in all tests performed.…”
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Measuring ripple effect for object-oriented programs. (c2004) by Salem, Hani Hassan

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Query acceleration in distributed database systems by Haraty, Ramzi A.

“…Our research encompasses applying PERF joins to two well know algorithms: AHY and W, which both deal with query optimization. …”
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Solution of Fractional Differential Equations: Transform and Iterative Methods Approach by Alchikh, Razan Abdul Satar

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Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies by Mohamed, Eman

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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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Communications in electronic textile systems by Nakad, Z.

“…Abstract- Electronic textiles (e-textiles) are emerging as a novel method for constructing electronic systems in wearable and large area applications. …”
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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. …”

Efficiency Optimization of a Standalone Solar Energy System using Fuzzy Based MPPT by Al Nabulsi, Ahmad

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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>…”

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). …”

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>…”

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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Multi-Agent Learning of Strategies in Abstract Argumentation Mechanisms by Nemer, Rama

“…As for the effect of the learning algorithm on the choice of strategy, the results confirm that WPL is biased toward mixed strategies while GIGA is faster in convergence to pure strategy Nash equilibria. …”
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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). …”