Learning-Based Spectrum Sensing and Access for Cognitive Radio Systems حسب Shehabeldin, Menatalla Diaaeldin

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A reduced model for phase-change problems with radiation using simplified PN approximations حسب Belhamadia, Youssef

"…Using the integro-differential equation for the radiative intensity in these models results in a system of coupled equations for which its numerical solution is computationally very demanding. In the present study, we develop a class of efficient reduced models for phase-change problems accounting for grey thermal radiation. …"
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Development of a deep learning-based group contribution framework for targeted design of ionic liquids حسب Sadah Mohammed (18192859)

"…Correlation results align with the experimental data, affirming the applicability of our framework. Finally, the algorithm is employed in a CO₂ capture case study to generate and select the best-performing novel ILs, which exhibit behavior consistent with established ILs in the literature.…"

Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information حسب M. Ghoniem, Rania

"…This basically follows either a feature-level or decision-level strategy. In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …"
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Blood Glucose Regulation Modelling and Intelligent Control حسب Nasar, Nabeel

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Comparative Study of Control Strategies for Under Actuated Manipulator حسب Abed, Joudeh Yasin

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Adaptive controlled superconducting magnetic energy storage devices for performance enhancement of wind energy systems حسب Rania A., Turky

"…The proposed algorithm is an enhanced version of the CMPN by adding the sub-band filtering algorithm effect. …"
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Determining Dominant Wind Directions حسب Selim, S.Z.

"…A case study which involves the construction of a transition probability matrix for the wind at a location is presented.…"
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Lung cancer medical images classification using hybrid CNN-SVM حسب Abdulrazak Yahya Saleh (18520026)

"…Computer-Aided Detection (CAD) has been used to process CT images of the lung to determine whether an image has traces of cancer. This paper presents an image classification method based on the hybrid Convolutional Neural Network (CNN) algorithm and Support Vector Machine (SVM). …"

Analyzing the Influence of Climate and Anthropogenic Development on Vegetation Cover in the Coastal Ecosystems of GCC حسب Abhilash Dutta Roy (22466830)

"…We used Landsat satellite imagery and a Random Forest classification algorithm to map various land cover classes along the GCC coastline. …"

Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network حسب Fares Almomani (12585685)

"…<p dir="ltr">The present study evaluates the effect of co-digestion of agricultural solid wastes (ASWs), cow manure (CM), and the application of chemical pre-treatment with NaHCO₃ on the performance of anaerobic digestion (AD) process. …"

An Ontology-based Semantic Web for Arabic Question Answering: The Case of E-Government Services حسب ALBARGHOTHI, ALI BAHA’EDDIN

"…In this study, we present an approach for automatic extraction of an ontology-based SW constructed from Arabic webpages related to Dubai’s e-government services. …"
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Image-CNN Based Process Control of Profile حسب Zeinab, Zeinab Jihad

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Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast d... حسب Tarik Elhadd (5480393)

"…The optimal XGBoost model prioritized age, gender, BMI and HbA1c followed by glucose levels and physical activity. Interestingly, the blood glucose level prediction by our model was influenced by use of SGLT2i.…"

Learn while tracking. (c2013) حسب Toukhtarian, Raffi

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De-Linkability حسب Haraty, Ramzi

"…We also provide a sanitizing MD*-algorithm to enforce de-linkability and present a set of experiments to demonstrate its efficiency.…"
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Intelligent route to design efficient CO₂ reduction electrocatalysts using ANFIS optimized by GA and PSO حسب Majedeh Gheytanzadeh (17541927)

"…The primary purpose of this study is to establish a new model through machine learning methods; namely, adaptive neuro-fuzzy inference system (ANFIS) combined with particle swarm optimization (PSO) and genetic algorithm (GA) for the prediction of *CO (the key intermediate) adsorption energy as the efficiency metric. …"

Virtual Inertia Support in Power Systems for High Penetration of Renewables—Overview of Categorization, Comparison, and Evaluation of Control Techniques حسب Naruttam Kumar Roy (16904544)

"…Integrating intelligent methods, such as fuzzy logic, genetic algorithm, non-convex optimization, and heuristic optimization, signify intelligent control methods. …"

Joint BS Assignment and End-to-End Scheduling for Wireless Cellular Networks with Heterogeneous Services حسب Saad, Walid

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Combined cycle gas turbine system optimization for extended range electric vehicles حسب Barakat, Aya A.

"…This study presents a methodology for the design and optimization of the most optimal combined cycle system configuration, suitable to replace the engine in a series-hybrid extended-range electric vehicle, and investigates its potential fuel savings. …"
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