Implementation of trust region methods in optimization. (c1998) حسب Hajj, Mohammed Omar

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Dataset built for Arabic Sentiment Analysis حسب AL MUKHAITI, AYESHA JUMAA SALEM

"…Key stages of the framework takes three dimensions. We followed an Algorithm which involves Data Acquisition stage, Filtering Stage and Annotation Stage. …"
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Inferential sensing techniques in industrial applications حسب Shakil,, Muhammad

"…Real data from a boiler plant is used to develop the model. …"
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Molecular Classification of Breast Cancer Utilizing Long Non-Coding RNA (lncRNA) Transcriptomes Identifies Novel Diagnostic lncRNA Panel for Triple-Negative Breast Cancer حسب Hibah Shaath (5599658)

"…The Marker Finder algorithm identified the lncRNA transcript panel most associated with each molecular subtype and the receiver operating characteristic (ROC) analysis was used to validate the diagnostic potential (area under the curve (AUC) of ≥8.0 and p value < 0.0001). …"

Inertial Navigation system of In-pipe Inspection Robot حسب Al-Masri, Wasim

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Agent-Based Reactive Geographic Routing Protocol for Internet of Vehicles حسب Mazouzi, Mohamed

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Adaptive Federated Learning Architecture To Mitigate Non-IID Through Multi-Objective GA-Based Efficient Client Selection حسب Ajaj, Mohamad

"…In this paper, we propose a novel approach that incorporates genetic algorithms with an enhanced client selection strategy, utilizing client metadata rather than raw data. …"
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Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information حسب M. Ghoniem, Rania

"…For classifying unimodal data of either speech or EEG, a hybrid fuzzy c-means-genetic algorithm-neural network model is proposed, where its fitness function finds the optimal fuzzy cluster number reducing the classification error. …"
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A Biologicaly Inspired Decision Model for Multivariable Genetic- Fuzzy-AHP System حسب Kouatli, Issam

"…This paper describes a hybridized intelligent algorithm as a tuning mechanism for one type of Genetic Fuzzy system termed the Genetic Fuzzimetric Technique (GFT). …"
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Prediction of Multiple Clinical Complications in Cancer Patients to Ensure Hospital Preparedness and Improved Cancer Care حسب Regina Padmanabhan (14231606)

"…Hence, for predicting three critical clinical complications, such as sepsis, the presence of multidrug-resistant organisms, and mortality, from the data available from medical records, we used 1166 febrile neutropenia episodes reported in 513 patients. …"

Joint computing, communication and cost-aware task offloading in D2D-enabled Het-MEC حسب Abbas, Nadine

"…Furthermore, we propose a low-complexity algorithm that generates high performance results and can be applied for large-scale networks. …"
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Optimized provisioning of edge computing resources with heterogeneous workload in IoT networks حسب Kherraf, Nouha

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Barriers of Adopting Artificial Intelligence Tools in Engineering Construction Projects حسب ALKAABI, ABDULLA

"…Construction data management and integration are difficult. AI algorithms depend on data for training and analysis. …"
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Real-Time Implementation of GPS Aided Low Cost Strapdown Inertial Navigation System حسب Sahawneh, Laith Rasmi

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A Navigation and Control System for a Robot in Indoor/Outdoor Environments حسب Al Khatib, Ehab

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Video Streaming over D2D Networks حسب Ahmed, Ibtihal Mohamed Taha

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Performance Analysis of Artificial Neural Networks in Forecasting Financial Time Series حسب Lasfer, Assia

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Dynamic single node failure recovery in distributed storage systems حسب Itani, M.

"…With the emergence of many erasure coding techniques that help provide reliability in practical distributed storage systems, we use fractional repetition coding on the given data and optimize the allocation of data blocks on system nodes in a way that minimizes the system repair cost. …"
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Deepfakes Signatures Detection in the Handcrafted Features Space حسب Hamadene, Assia

"…In the Handwritten Signature Verification (HSV) literature, several synthetic databases have been developed for data-augmentation purposes, where new specimens and new identities were generated using bio-inspired algorithms, neuromotor synthesizers, Generative Adversarial Networks (GANs) as well as several deep learning methods. …"
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Machine Learning-Based Approach for EV Charging Behavior حسب Shahriar, Sakib

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