Large language models for code completion: A systematic literature review حسب Rasha Ahmad Husein (19744756)

"…Different techniques can achieve code completion, and recent research has focused on Deep Learning methods, particularly Large Language Models (LLMs) utilizing Transformer algorithms. While several research papers have focused on the use of LLMs for code completion, these studies are fragmented, and there is no systematic overview of the use of LLMs for code completion. …"

A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI حسب Oishi Jyoti (21593819)

Analyzing Partial Shading in PV Systems Using Wavelet Packet Transform and Empirical Mode Decomposition Techniques حسب Kais Abdulmawjood (17947784)

"…The generated IMF components are then fed into the Random Forest (RF) algorithm designed for shading detection and classification. …"

Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting حسب AlSayegh, Hadeel Yacoub

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Block constrained pressure residual preconditioning for two-phase flow in porous media by mixed hybrid finite elements حسب Stefano Nardean (14151900)

"…<p dir="ltr">This work proposes an original preconditioner that couples the Constrained Pressure Residual (CPR) method with block preconditioning for the efficient solution of the linearized systems of equations arising from fully implicit multiphase flow models. …"

Gas Metal Arc Welding (GMAW) Process Optimization Using Machine Learning Models حسب Sharaf, Ahmed

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Microwave brain imaging system to detect brain tumor using metamaterial loaded stacked antenna array حسب Amran Hossain (570706)

"…<p dir="ltr">In this paper, proposes a microwave brain imaging system to detect brain tumors using a metamaterial (MTM) loaded three-dimensional (3D) stacked wideband antenna array. …"

Automatic Modulation Recognition Based on the Optimized Linear Combination of Higher-Order Cumulants حسب Asad Hussain (10135049)

Mobile Robot Trajectory Tracking Using Neural Networks حسب Mohareri, Omid

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Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network حسب Monzure-Khoda Kazi (17191207)

"…Advanced machine learning algorithms are used in this study to figure out the complicated relationship between the crashworthiness parameters of the hexagonal composite ring specimens under lateral compressive, energy absorption, and failure modes. …"

Intelligent Rapidly-Exploring Random Tree Star Algorithm حسب Ahmed, Khidir Galal Eldin Khidir

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An Evolutionary Algorithm for the Allocation Problem in High-Level Synthesis حسب Harmanani, Haidar

"…This paper presents an evolutionary algorithm to solve the datapath allocation problem in high-level synthesis. …"
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A new genetic algorithm approach for unit commitment حسب Mantawy, A.H.

"…This paper presents a new genetic algorithm approach to solve the unit commitment problem in electric power systems. …"
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Application of Data Mining to Predict and Diagnose Diabetic Retinopathy حسب Haniyeh, Maryam

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Convergence behavior of the normalized least mean fourth algorithm حسب Zerguine, A.

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A neural networks algorithm for data path synthesis حسب Harmanani, Haidar M.

"…This paper presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …"
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Generative AI revolution in cybersecurity: a comprehensive review of threat intelligence and operations حسب Mueen Uddin (4903510)

Formal synthesis of VLSI layouts from algorithmic specifications حسب Sait, Sadiq M.

"…This formal high level syntesis system uses recursive algorithms to model the behaviour to be synthesized. …"
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Learning control algorithms for tracking "slowly" varying trajectories حسب Saab, Samer S.

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Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn... حسب Mohamed, AlShuweihi

"…LR with the reduced feature set using the intersection between CS and RFE proved to be the best model among the tested algorithms. …"
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