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Showing 21 - 40 results of 261 for search '(( experimental used algorithm ) OR ((( complement rd algorithm ) OR ( neural coding algorithm ))))', query time: 0.13s Refine Results
  1. 21
    Automatic Video Summarization Using HEVC and CNN Features

    Automatic Video Summarization Using HEVC and CNN Features by Issa, Obada

    Published 2022
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  2. 22
    Logistics Optimization Using Hybrid Genetic Algorithm (HGA): A Solution to the Vehicle Routing Problem With Time Windows (VRPTW)

    Logistics Optimization Using Hybrid Genetic Algorithm (HGA): A Solution to the Vehicle Routing Problem With Time Windows (VRPTW) by Ayesha Maroof (17984053)

    Published 2024
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  3. 23
    Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network

    Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network by Mohammad Reza Chalak Qazani (13893261)

    Published 2024
    “…<p dir="ltr">This study examines the use of injection moulding to evaluate mechanical properties in plastic products, such as shear and residual stresses. …”
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  4. 24
    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method

    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method by Amit Kumar Balyan (18288964)

    Published 2022
    “…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …”
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  5. 25
    Fuzzy genetic algorithm for floorplanning

    Fuzzy genetic algorithm for floorplanning by Youssef, H.

    Published 2020
    “…Several fitness fuzzification approaches are evaluated and compared with Weighted Sum GA (WS-GA), where the fitness is set equal to a weighted sum of the objective criteria. Experimental evaluation was conducted using as a testbed the floorplanning of Very Large Scale Integrated (VLSI) circuits.…”
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  6. 26
    A Fully Optical Laser Based System for Damage Detection and Localization in Rail Tracks Using Ultrasonic Rayleigh Waves: A Numerical and Experimental Study

    A Fully Optical Laser Based System for Damage Detection and Localization in Rail Tracks Using Ultrasonic Rayleigh Waves: A Numerical and Experimental Study by Masurkar, Faeez

    Published 2022
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  7. 27
    A multiobjective optimization method for the SOC Test Time, TAM, and power optimization using a strength pareto evolutionary algorithm

    A multiobjective optimization method for the SOC Test Time, TAM, and power optimization using a strength pareto evolutionary algorithm by Harmanani, Haidar M.

    Published 2017
    “…This paper presents a multiobjective optimization approach for the SOC test scheduling problem. The method uses a Strength Pareto Evolutionary Algorithm that minimizes the overall test application time in addition to power, wrapper design and TAM assignment. …”
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  8. 28
    Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization

    Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization by Abu Zitar, Raed

    Published 2024
    “…This hybrid approach, the Improved Prairie Dog Optimization Algorithm (IPDOA) with the Genetic Algorithm (GA), utilizes the strengths of both algorithms to improve the overall optimization performance. …”
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  9. 29
    Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning

    Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning by Sait, Sadiq M.

    Published 2006
    “…A series of experiments are performed to evaluate the efficiency of the algorithms. ISCAS-85/89 benchmark circuits are used and experimental results are reported and analyzed to compare the performance of GA, TS and SimE. …”
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  10. 30
    Bee Colony Algorithm for Proctors Assignment.

    Bee Colony Algorithm for Proctors Assignment. by Mansour, Nashat

    Published 2015
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  11. 31
    Stochastic Search Algorithms for Exam Scheduling

    Stochastic Search Algorithms for Exam Scheduling by Mansour, Nashat

    Published 2007
    “…Then, we empirically compare the three proposed algorithms and FESP using realistic data. Our experimental results show that SA and GA produce good exam schedules that are better than those of FESP heuristic procedure. …”
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  12. 32
    Kernelization algorithms for the vertex cover problem

    Kernelization algorithms for the vertex cover problem by Abu-Khzam, Faisal N.

    Published 2017
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  13. 33
    Sensitivity to parameters and general applicability of genetic algorithms and simulated annealing algorithms for mapping data to multicomputers. (c1994)

    Sensitivity to parameters and general applicability of genetic algorithms and simulated annealing algorithms for mapping data to multicomputers. (c1994) by Kawash, Jalal Y.

    Published 1994
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  14. 34
    Artificial neural network algorithms. (c1999)

    Artificial neural network algorithms. (c1999) by Ramadan, Samer N.

    Published 1999
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  15. 35
    A map matching approach for train positioning. Part II: Application and Experimentation

    A map matching approach for train positioning. Part II: Application and Experimentation by Saab, Samer S.

    Published 2000
    “…In addition, experimental results, using a quartz yaw rate sensor and axle encoders aboard a freight train, are included to show the performance of the proposed map matching algorithm.…”
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  16. 36
    Natural optimization algorithms for optimal regression testing

    Natural optimization algorithms for optimal regression testing by Mansour, Nashat

    Published 1997
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  17. 37
    Metaheuristic Algorithm for State-Based Software Testing

    Metaheuristic Algorithm for State-Based Software Testing by Haraty, Ramzi A.

    Published 2018
    “…We formulate the testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …”
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  18. 38
    Incremental & classical genetic algorithm. (c2001)

    Incremental & classical genetic algorithm. (c2001) by Awad, Mohamad M.

    Published 2001
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  19. 39
    A new approach to record clustering for large databases. (c1997)

    A new approach to record clustering for large databases. (c1997) by Makhoulian, Raffi H.

    Published 1997
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  20. 40
    Evolutionary algorithms for VLSI multi-objective netlist partitioning

    Evolutionary algorithms for VLSI multi-objective netlist partitioning by Sait, Sadiq M.

    Published 2006
    “…A series of experiments are performed to evaluate the efficiency of the algorithms. ISCAS-85/89 benchmark circuits are used and experimental results are reported and analyzed to compare the performance of GA, TS and SimE. …”
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