بدائل البحث:
modelling algorithm » scheduling algorithm (توسيع البحث)
solution algorithm » auction algorithm (توسيع البحث), pollination algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
element » elements (توسيع البحث)
modelling algorithm » scheduling algorithm (توسيع البحث)
solution algorithm » auction algorithm (توسيع البحث), pollination algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
element » elements (توسيع البحث)
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201
Assessment of static pile design methods and non-linear analysis of pile driving
منشور في 2006"…The pile/soil interaction system is described by a mass/spring/dashpot system where the properties of each component are derived from rigorous analytical solutions or finite element analysis. The outcome of this research is an algorithm that can be used to predict pile displacement and driving stresses. …"
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masterThesis -
202
AI-based remaining useful life prediction and modelling of seawater desalination membranes
منشور في 2024احصل على النص الكامل
doctoralThesis -
203
A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems
منشور في 2024"…The ES algorithm begins with a random initial solution and uses an insertion mutation to optimize the solution. …"
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204
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...
منشور في 2020"…LR with the reduced feature set using the intersection between CS and RFE proved to be the best model among the tested algorithms. This model can be used in a clinical setting as a decision support system or for public health awareness as an informal risk prediction system. …"
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205
A method for optimizing test bus assignment and sizing for system-on-a-chip
منشور في 2017"…Test access mechanism (TAM) is an important element of test access architectures for embedded cores and is responsible for on-chip test patterns transport from the source to the core under test to the sink. …"
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conferenceObject -
206
Integrating genetic algorithms, tabu search, and simulatedannealing for the unit commitment problem
منشور في 1999"…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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article -
207
A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems
منشور في 2021"…These SI-based algorithms follow the social and interactive principles to perform their search process while approximating solution for the given problems. …"
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208
A Modular Reconfigurable Architecture for Asymmetric and Symmetric-key Cryptographic Algorithms
منشور في 2007"…Numerous such algorithms have been devised, and many have found popularity in different domains. …"
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masterThesis -
209
Forward simulation of three-dimensional advection-diffusion using a fundamental solution for a linear flow
منشور في 2022"…A novel Lagrangian-based algorithm is presented for tracking a patch of a passive tracer that evolves according to the 3D advection diffusion equation with a general steady velocity. …"
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احصل على النص الكامل
masterThesis -
210
Evolutionary algorithms for state justification in sequential automatic test pattern generation
منشور في 2005"…A common search operation in sequential Automatic Test Pattern Generation is to justify a desired state assignment on the sequential elements. State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …"
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article -
211
A new multiobjective evolutionary algorithm forenvironmental/economic power dispatch
منشور في 2001"…A new nondominated sorting genetic algorithm (NSGA) based approach is proposed to handle the problem as a true multiobjective optimization problem with competing and noncommensurable objectives. …"
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article -
212
Customs Trade Facilitation and Compliance for Ecommerce using Blockchain and Data Mining
منشور في 2021"…Additionally, the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology is employed for modelling the two proposed clustering algorithms to identify transactional risks. …"
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213
Impacts of On-Grid Solar PV on Distribution Networks and Potential Solutions: A Case Study in the Region of Zahle
منشور في 2025"…The CB allocation solutions obtained from these algorithms are then compared from a technical and economic perspective. …"
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masterThesis -
214
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215
A Parallel Tabu Search Algorithm for Optimizing Multiobjective VLSI Placement
منشور في 2005"…The primary purpose is to accelerate TS algorithm to reach near optimal placement solutions for large circuits. …"
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article -
216
Multiobjective optimal power flow using strength Pareto evolutionary algorithm
منشور في 2004"…A new strength Pareto evolutionary algorithm (SPEA) based approach is proposed to handle the problem as a true multiobjective optimization problem with competing and non-commensurable objectives. …"
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article -
217
A parallel optimization algorithm for the maximum clique problem. (c2008)
منشور في 2008احصل على النص الكامل
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masterThesis -
218
Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
منشور في 2022"…The LR model showed the foremost predictions of ground loss as compared to all the other models analyzed. …"
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219
Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images
منشور في 2023"…The picture histogram was used to construct the candidate solutions in the modified algorithms, which were then updated according to the algorithm's features. …"
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220
Experimental Investigation and Comparative Evaluation of Standard Level Shifted Multi-Carrier Modulation Schemes With a Constraint GA Based SHE Techniques for a Seven-Level PUC Inv...
منشور في 2019"…Different standard multicarrier sinusoidal pulse-width modulation techniques (SPWMs) are adapted for the generation of switching gate signals for the PUC power switches, and these SPWMs are compared with novel optimization-based selective harmonic elimination (SHE) that employs genetic algorithm (GA) for solving nonlinear SHE equation with a constraint that eliminated all third-order harmonics efficiently. …"