A hybrid graph representation for recursive backtracking algorithms حسب Abu-Khzam, Faisal N.

"…The performance of these algorithms often suffers from the increasing number of graph modifications, such as deletions, that reduce the problem instance and have to be “taken back” frequently during the search process. …"
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Use of Data Mining Techniques to Detect Fraud in Procurement Sector حسب AL HAMMADI, SUMAYYA ABDULLA

"…The method used in this research is a classification of models and algorithms used in data mining. …"
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Logistics Optimization Using Hybrid Genetic Algorithm (HGA): A Solution to the Vehicle Routing Problem With Time Windows (VRPTW) حسب Ayesha Maroof (17984053)

Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering حسب Saadia Jamil (22045946)

"…A self-organizing map is one of the well-known unsupervised neural network algorithms used for preserving typologies during mapping from the input space (high-dimensional) to the display (low-dimensional).An algorithm called Local Adaptive Receptive Field Dimension Selective Self-Organizing Map 2 is a modified form of a self-organizing Map to cater different data types in the dataset. …"

An image processing and genetic algorithm-based approach for the detection of melanoma in patients حسب Tokajian, Sima

"…The second phase classifies lesions using a Genetic Algorithm. Our technique shows a significant improvement over other well-known algorithms and proves to be more stable on both training and testing data.…"
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Editorial on the Special Section on Algorithms, Circuits, and Systems for Signal Processing at the Edge حسب Leonel Sousa (19645372)

"…<p dir="ltr">Technological trends alongside with the unprecedented growth of the data generated by devices sparsely distributed, most of them mobile devices, cannot be supported by traditional approaches and processing systems. …"

Public health utility of cause of death data: applying empirical algorithms to improve data quality حسب Sarah Charlotte Johnson (9715415)

Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem حسب Abu Zitar, Raed

"…The measurements and track generation are simulated using Stone Soup software. On the other hand, the optimization of the problem is implemented using several evolutionary-based metaheuristic algorithms. …"
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An Efficient Tabu Search Algorithm For The Single-Machine Mean Tardiness Problem حسب Bendaya, M.

"…In this paper, an efficient tabu search algorithm is prepared ibr solving the singlemachine mean tardiness problem. …"
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A parallel optimization algorithm for the maximum clique problem. (c2008) حسب Rizk, Mohamad A.

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A parallel genetic algorithm for the geometrically constrained site layout problem حسب Zouein, P.

"…This paper presents a parallel genetic algorithm to solve the geometrically constrained site layout problem that involves coordinating the use of limited space to accommodate temporary facilities subject to geometric constraints. …"
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Linear-time algorithms for problems on planar graphs with fixed disk dimension حسب Abu-Khzam, Faisal N.

"…In particular, a linear-time approximation algorithm is presented for the pathwidth problem.…"
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Integrating genetic algorithms, tabu search, and simulatedannealing for the unit commitment problem حسب Mantawy, A.H.

"…This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulated annealing methods to solve the unit commitment problem. …"
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Efficient convex-elastic net algorithm to solve the Euclideantraveling salesman problem حسب Al-Mulhem, M.

"…This paper describes a hybrid algorithm that combines an adaptive-type neural network algorithm and a nondeterministic iterative algorithm to solve the Euclidean traveling salesman problem (E-TSP). …"
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Modified clarke wright algorithms for solving the realistic vehicle routing problem حسب Shour, Amina

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A distributed genetic algorithm for deterministic and stochastic labor scheduling problems حسب Mansour, Nashat

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Variable Selection in Data Analysis: A Synthetic Data Toolkit حسب Mitra, Rohan

"…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …"
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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images حسب Sajun, Ali Reza

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Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm حسب Nasser, Youssef

"…Among these, K-means is widely used for efficiently solving clustering problems. …"
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Efficient methods and techniques for the open-shop scheduling problem. (c2006) حسب Bou Ghosn, Steve

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