Search Results - (( using function based algorithm ) OR ( knowledge generation path algorithm ))
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1
Test case minimization applying firefly algorithm
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2
Meta-Heuristic Algorithms for Learning Path Recommender at MOOC
Published 2021“…Our model can generate an appropriate learning path for learners based on their background and job goals. …”
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3
A test case generation framework based on UML statechart diagram
Published 2018“…The proposed framework was designed from the gathered information based on the reviews and consists of eight components that represent a comprehensive test case generation processes. They are relation table, relation graph, consistency checking, test path minimization, test path prioritization, path pruning, test path generation, and test case generation. …”
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4
Global Mobile Robot Path Planning using Laser Simulator
Published 2017“…The developed laser simulator is implemented successfully in these environments and the simulation results are compared with the classical A* algorithm. From the results, the laser simulator has advantages in computational time and low collision possibility in comparison with A* algorithm while the path cost of laser simulator is always greater than path cost of A* algorithm.…”
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5
Industry 5.0 and Education 5.0: Transforming Vocational Education through Intelligent Technology
Published 2024“…By analyzing the research gaps in personalized learning paths, emotion-driven learning, crossdisciplinary integration, and long-term learning behavior analysis, the paper proposes four improved algorithms: the adaptive learning path generation algorithm, the emotion-driven personalized learning algorithm, the cross-disciplinary knowledge graph algorithm, and the long-term learning behavior prediction algorithm. …”
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6
Using graph algorithm and classification technique for finding an optimal bus route in time-dependent travel times
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7
Optimal Control of Directional Drilling Process
Published 2014“…It is shown that the proposed control system can generate an appropriate well path and hit the specified target. …”
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8
Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions
Published 2018“…The BOGS-BAT algorithm is based on three techniques. The first technique is to move or switch solution from single function to functions that contain more than one objective functions. …”
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9
A Scalable Algorithm for Constructing Frequent Pattern Tree
Published 2014“…In typical FP-Tree construction, besides the prior knowledge on support threshold, it also requires two database scans; first to build and sort the frequent patterns and second to build its prefix paths. …”
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10
A block cipher based on genetic algorithm
Published 2016“…In many algorithms which are based on the genetic algorithm approach, diffusion properties using crossover and mutation function are being generated to produce a secure data transmission. …”
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11
FaaSBid: an auction-based model for Function as a Service in edge-fog environments using unallocated resources
Published 2026“…To initialise function placement, Fitness-Based Swap (FBSW) algorithm is proposed which places functions based on pre-defined information such as function size, function maximum execution time, and storage cost. …”
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12
Computation of cryptosystem based on Lucas functions using addition chain
Published 2010“…Cryptosystem based on Lucas Functions is known as LUC Cryptosystem. …”
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13
An improved fast scanning algorithm based on distance measure and threshold function in region image segmentation
Published 2016“…Hence, this study proposes an Improved Fast Scanning algorithm that is based on Sorensen distance measure and adaptive threshold function. …”
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14
Enhancing speed performance of the cryptographic algorithm based on the lucas sequence
Published 2003“…Utilizing the properties of Lucas functions introduced a public key system based on Lucas functions instead of exponentiation, which offer a good alternative to the most publicly used exponential public key system RSA. …”
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15
Image encryption algorithm based on chaotic mapping
Published 2003“…HVT function is based on a two-dimensional chaotic map that utilized Baker’s map algorithm. …”
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16
An efficient computation technique for cryptosystems based on Lucas functions
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17
Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
Published 2023“…Based on the results, the EP algorithm achieved a higher training rate and simple structure compared with the rest of the algorithms. …”
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18
Biological-based semi-supervised clustering algorithm to improve gene function prediction
Published 2011“…However, commonclustering algorithms do not provide a comprehensive approach that look into the three categories of annotations; biologicalprocess, molecular function, and cellular component, and were not tested with different functional annotation database formats.Furthermore, the traditional clustering algorithms use random initialization which causes inconsistent cluster generation and areunable to determine the number of clusters involved. …”
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Enhancing harmony search parameters based on step and linear function for bus driver scheduling and rostering problems
Published 2018“…Therefore,it is of great interest that we find adjustments for these parameters in this research.There are two contributions to this research.The first one is having HMCR parameter using step function and the linear increase function while the second is applying the fret spacing concept on guitars that is associated with mathematical formulae is also applied in the BW parameter.There are three proposed models on the alteration of HMCR parameters based on the use of the fundamental step function;namely,the constant interval of step function, and its dynamic increase and decrease interval functions.The experimental results revealed that our proposed approach is superior to other state of the art harmony searches either in specific or generic cases. …”
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20
A Reference Based Surface Defect Segmentation Algorithm For Automatic Optical Inspection System
Published 2020“…Then, the histogram distance function for each location is computed using a pseudo-probability combination of novel histogram distance functions on a clustered histogram. …”
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