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. Experiment is performed using Azure Machine Learning (ML) platform to test and assess the most efficient model that would predict the failure of system elements and predict the abnormality of the operation. …"
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Drones Tracking Adaptation Using Reinforcement Learning: Proximal Policy optimization حسب Alhadhrami, Esra Ebrahim

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Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS حسب Tekli, Joe

"…We then provide a general keyword query model with specially tailored query processing algorithms built on top of SemIndex, in order to produce semantic-aware results, allowing the user to choose the results' semantic coverage and expressiveness based on her needs. …"
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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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HPTS: heterogeneous parallel tabu search for VLSI placement حسب Al-Yamani, A.

"…Two parallelization strategies, i.e., functional decomposition and multi-search thread strategies are integrated. The proposed algorithm is tested on the VLSI standard cell placement problem, however, the same algorithm can be used on any combinatorial optimization problem. …"
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A multi-pretraining U-Net architecture for semantic segmentation حسب Cagla Copurkaya (22502042)

"…The proposed approach makes advantage of data augmentation to generate newly synthesized images, which are subsequently processed using a watershed mask. For the validation of the proposed model, we used data from 21,000 cell nuclei at a resolution of 1000 by 1000 pixels. …"

Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning حسب MEZAHEM, FATEMA HAMAD

"…For sentiment analysis, pre-processing is a crucial step in the data preparation process. …"
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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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Advancing Interpretability in Sequential Models Through Generative AI Rationalization Using GPT-4 حسب Mohammed Rasol Al Saidat

"…Additionally, we devise a rationale generation algorithm that achieves a balance between succinctness and informativeness. …"
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Optimizing Aircraft Pitch Control Systems: A Novel Approach Integrating Artificial Rabbits Optimizer with PID-F Controller حسب Abualigah, Laith

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Detecting and Predicting Archaeological Sites Using Remote Sensing and Machine Learning—Application to the Saruq Al-Hadid Site, Dubai, UAE حسب Ben Romdhane, Haifa

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Corona power loss computation in bundled bipolar conductors حسب Al-Hamouz, Z.M.

"…In this paper, a finite element (FE) based algorithm devoted for the computation of the corona current and hence the corona power loss associated with bundled bipolar high voltage direct current (HVDC) conductors is presented. …"
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Approximate XML structure validation technical report 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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Control of cardiac alternans by mechanical and electrical feedback حسب Yapari, Felicia

"…Complimentary to these studies, a three variable Nash-Panfilov model is used to investigate alternans annihilation via mechanical (or stretch) perturbations. …"
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Newton-Raphson based adaptive inverse control scheme for tracking of nonlinear dynamic plants حسب Shafiq, M.

"…The U-model is utilized to design an adaptive inverse controller by using a simple root-solving algorithm of Newton-Raphson. The synergy of U-model with AIC structure has provided an effective and straight forward method for adaptive tracking of nonlinear plants. …"
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A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem حسب Habchi, Wassim

"…The use of the finite element method allows the use of variable unstructured meshing and different types of elements within the same model which leads to a reduced size of the problem. …"
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A Fully Optical Laser Based System for Damage Detection and Localization in Rail Tracks Using Ultrasonic Rayleigh Waves: A Numerical and Experimental Study حسب Masurkar, Faeez

"…Further, As the quality of received signals differs at different sensing points as a result of the surface conditions of the specimen, the Self Adaptive Smart Algorithm (SASA) method was adopted to filter out the noise and accurately pinpoint the defect reflected wave packet which ultimately aids in better detection and localization. …"
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The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions حسب Abdulmalik Alwarafy (17984104)

"…To this end, we carefully identify the types of DRL algorithms utilized in each related work, the elements of these algorithms, and the main findings of each related work. …"

Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR) حسب Elaine Beller (44602)

"…Recent advances in natural language processing, text mining and machine learning have produced new algorithms that can accurately mimic human endeavour in systematic review activity, faster and more cheaply. …"