Search alternatives:
modeling algorithm » scheduling algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
box algorithm » rd algorithm (Expand Search)
elements box » elements _ (Expand Search)
modeling algorithm » scheduling algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
box algorithm » rd algorithm (Expand Search)
elements box » elements _ (Expand Search)
-
41
EVALUATION OF OPTIMIZATION METHODS FOR MACHINING ECONOMICS MODELS
Published 2020“…This paper compares the performances and the utilities of six algorithms to identify the most suitable one(s) for solving the machining models. …”
Get full text
article -
42
A Blockchain Model for Secure Communications in Internet of Vehicles
Published 2021“…The simulation results demonstrated the good performance of the HPBC algorithm when implemented within the IoV environment.…”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
43
Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network
Published 2024“…The proposed model was developed and implemented using MATLAB software. …”
-
44
-
45
A Hardware Model of an Expandable RSA Cryptogrsphic System
Published 1998“…This implementation is modeled using VHDL in a parametrizable manner. …”
Get full text
masterThesis -
46
Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks
Published 2013Get full text
doctoralThesis -
47
Spatially-Distributed Missions With Heterogeneous Multi-Robot Teams
Published 2021“…Both combine a generic MILP solver and a genetic algorithm, resulting in efficient anytime algorithms. …”
-
48
Nonlinear analysis of shell structures using image processing and machine learning
Published 2023“…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …”
-
49
Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach
Published 2025“…To mitigate overfitting, we implemented dropout layers, batch normalization, and early stopping, significantly enhancing the model’s generalization capability. …”
-
50
-
51
Decomposition method for solving a nonlinear business cycle model
Published 2003“…A numerical algorithm based on a decomposition scheme is implemented for the approximate solution of the model. …”
Get full text
Get full text
Get full text
Get full text
article -
52
Distilling Wisdom: A Review on Optimizing Learning From Massive Language Models
Published 2025“…This survey provides a detailed discussion of the basic principles, algorithms, and implementation methods of knowledge distillation. …”
-
53
Modélisation et validation des modèles de véhicules hybrides
Published 2009“…Une stratégie de contrôle prédictive pour le GMP THS-II est également élaborée par programmation dynamique (DP), afin d'optimiser la consommation sur une route spécifiée au lieu d'une optimisation instantanée telle la stratégie RB, et d'accélérer le temps de calcul de l'algorithme DP pour faciliter son implémentation au sein du véhicule pour des applications temps réel. …”
Get full text
Get full text
Get full text
masterThesis -
54
A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities
Published 2021“…A multi-objective mixed-integer non-linear programming (MINLP) model is developed. To solve the proposed model, four meta-heuristic algorithms, namely multi-objective particle swarm optimization (MOPSO), a non-dominated sorting genetic algorithm (NSGA-II), a hybrid of k-medoids as a famous clustering algorithm and NSGA-II (KNSGA-II), and a hybrid of K-medoids and MOPSO (KMOPSO) are implemented. …”
-
55
A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011)
Published 2011Get full text
Get full text
masterThesis -
56
Reinforcement R-learning model for time scheduling of on-demand fog placement
Published 2020“…An implementation of our proposed R-learning model is provided in the paper, followed by a series of experiments on a real dataset to prove its efficiency in utilizing fog resources and minimizing the cloud’s load. …”
Get full text
Get full text
Get full text
Get full text
article -
57
-
58
Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling
Published 2017“…However, implementation of this approach is difficult using custom built codes and algorithms. …”
Get full text
Get full text
Get full text
article -
59
Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling
Published 2017“…However, implementation of this approach is difficult using custom built codes and algorithms. …”
Get full text
Get full text
Get full text
article -
60