Search alternatives:
using algorithm » cosine algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
-
301
Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment
Published 2022“…This paper provides a deep learning-based decryptor for investigating the permutation primitives used in multimedia block cipher encryption algorithms.We aim to investigate how deep learning can be used to improve on previous classical works by employing ciphertext pair aspects to maximize information extraction with low-data constraints by using convolution neural network features to discover the correlation among permutable atoms to extract the plaintext from the ciphered text without any P-box expertise. …”
-
302
Mapping realistic data sets on parallel computers
Published 1993“…The GC algorithm allows large-scale mapping to become efficient, especially when slow but high-quality mappers are used.…”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
303
Delay Optimization in LoRaWAN by Employing Adaptive Scheduling Algorithm With Unsupervised Learning
Published 2023“…This paper aims to optimize the delay in LoRaWAN by using an Adaptive Scheduling Algorithm (ASA) with an unsupervised probabilistic approach called Gaussian Mixture Model (GMM). …”
-
304
An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling
Published 2016“…The work presented in thesis add to the existing literature in a proposing the use of a genetic algorithm uncertain approach to resource- scheduling in projects. …”
Get full text
-
305
An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications
Published 2021“…The various applications tackled using relevant versions of JAYA algorithm are also discussed and summarized based on several problem domains. …”
Get full text
-
306
A simulated annealing algorithm for unit commitment
Published 1998“…This paper presents a simulated annealing algorithm (SAA) to solve the unit commitment problem (UCP). …”
Get full text
Get full text
article -
307
Artificial neural network algorithms. (c1999)
Published 1999Get full text
Get full text
masterThesis -
308
-
309
-
310
-
311
Natural optimization algorithms for optimal regression testing
Published 1997Get full text
Get full text
Get full text
Get full text
conferenceObject -
312
A kernelization algorithm for d-Hitting Set
Published 2010“…The resulting instance is called a problem kernel. In this paper, a kernelization algorithm for the 3-Hitting Set problem is presented along with a general kernelization for d -Hitting Set. …”
Get full text
Get full text
Get full text
article -
313
Asymptotically faster algorithms for parameterized FACE COVER
Published 2005Get full text
Get full text
Get full text
conferenceObject -
314
Metaheuristic Algorithm for State-Based Software Testing
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. …”
Get full text
Get full text
Get full text
Get full text
article -
315
Incremental & classical genetic algorithm. (c2001)
Published 2001Get full text
Get full text
masterThesis -
316
An L2 Gap Metric Identification Algorithm
Published 2020“…Each iteration of the algorithm involves solving a weighted least squares approximation problem. …”
Get full text
article -
317
A New Parallel Genetic Algorithm Model
Published 2020“…This paper presents an implementation of three Genetic Algorithm models for solving a reliability optimization problem for a redundancy system with several failure modes, a modification on a parallel a genetic algorithm model and a new parallel genetic algorithm model. …”
Get full text
article -
318
Empirical comparison of regression test selection algorithms
Published 2001“…In the maintenance phase, the regression test selection problem refers to selecting test cases from the initial suite of test cases used in the development phase. …”
Get full text
Get full text
Get full text
article -
319
A matheuristic approach for solving the 2-connected dominating set problem
Published 2019“…The algorithm is based on a Greedy Randomized Adaptive Search Procedure (GRASP). …”
-
320