Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas حسب Marwan Dhuheir (19170898)

"…We conducted extensive simulations and compared our approach with two state-of-the-art models using traditional RL algorithms represented by a deep Q-network algorithm, a Particle Swarm Optimization (PSO) algorithm, and one greedy solution. …"

Adaptive Video Streaming Over Cognitive Radio Networks حسب Mohamed, Ala Eldin Omer

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Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms حسب Marwan Dhuheir (19170898)

"…Our approach is tested on CNN networks and benchmarked against state-of-the-art conventional reinforcement learning algorithms. Extensive simulations show that our model outperforms competitive methods by around 29% in terms of latency and around 23% in terms of transmission power improvements while delivering results comparable to the traditional LDTP optimization solution by around 9% in terms of latency.…"

Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects حسب Mohamed Massaoudi (16888710)

Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method حسب Mohamed Massaoudi (16888710)

"…The proposed model is thoroughly assessed through an empirical study using a real data set from Australia. …"

An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System حسب Alkhatib, Osama

"…Historical data of Dubai Toll Collection System is utilized to investigate multiple machine learning algorithms. …"
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Neural network-based failure rate prediction for De Havilland Dash-8 tires حسب Al-Garni, Ahmed Z.

"…An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as a learning rule is developed. …"
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Failure-Rate Prediction for De Havilland Dash-8 Tires Employing Neural-Network Technique حسب Al-Garni, Ahmed Z.

"…An artificial neural-network model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the two-layered feedforward back-propagation algorithm as a learning rule is developed. …"
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FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK حسب Al-Garni, Ahmed Z.

"…., Boeing 737, is analyzed using the artificial neural network and Weibull regression models. One-layered feed-forward back-propagation algorithm for artificial neural network whereas three parameters model for Weibull are used for the analysis. …"
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Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks حسب Sharma, Neetan

"…This paper aims to acknowledge the extended stellar forecasting algorithm using artificial neural network common sensical aspect. …"
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Communications in electronic textile systems حسب 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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Lagrangian tracking in stochastic fields with application to an ensemble of velocity fields in the Red Sea حسب Issa, Leila

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I Will Survive: An Event-driven Conformance Checking Approach Over Process Streams حسب Raun, Kristo

"…This paper introduces a new approximate algorithm – I Will Survive (IWS). The algorithm utilizes the trie data structure to improve the calculation speed, while remaining memory-efficient. …"
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An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation حسب El-Maleh, Aiman H.

"…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic algorithms is proposed, in which we engineer state justification sequences vector by vector. …"
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An evolutionary meta-heuristic for state justification insequential automatic test pattern generation حسب El-Maleh, A.H.

"…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic Algorithms is proposed, in which we engineer state justification sequences vector by vector. …"
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Information Warfare حسب Haraty, Ramzi A.

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Transaction Dependency Based Approach for Database Damage Assessment Using a Matrix حسب Haraty, Ramzi Ahmed

"…Hence, both affected and benign transactions will be rolled back, which is a waste of time. This paper presents an algorithm that works efficiently to assess the damage caused in the database by malicious transaction and recovers it. …"
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Real-Time Implementation of GPS Aided Low Cost Strapdown Inertial Navigation System حسب Sahawneh, Laith Rasmi

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Approximate XML structure validation based on document–grammar tree similarity حسب 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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PERF solutions for distributed query optimization. (c1999) حسب Fany, Roula

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