Search Results - (( code classification problem algorithm ) OR ( parallel optimization strategy algorithm ))
Search alternatives:
- classification problem »
- parallel optimization »
- code classification »
- strategy algorithm »
- problem algorithm »
-
1
A Parallel new high order iterative algorithm on shared memory multiprocessors parallel computer
Published 2004“…In this paper, the parallel implementation of the algorithm with optimal strategy on shared memory multiprocessors (SMP) was presented and discussed. …”
Get full text
Get full text
Get full text
Article -
2
Restoration planning strategy of transmission system based on optimal energizing time of sectionalizing islands / Dian Najihah Abu Talib
Published 2019“…Parallel processing is implemented together with the proposed strategy to minimize the program running time. …”
Get full text
Get full text
Get full text
Thesis -
3
-
4
Object-Oriented Programming semantics representation utilizing agents
Published 2011“…Novices tend to refer to source codes examples and adapt the source codes to the problem given in their assignments. …”
Get full text
Get full text
Get full text
Article -
5
Tree Physiology Optimization tuning rule for Proportional-Integral control
Published 2017“…This paper presents a tuning correlation for Proportional-Integral (PI) controller parameters using Tree Physiology Optimization algorithm (TPO). TPO is a metaheuristic algorithm that has parallel search strategy inspired from plant growth system. …”
Get full text
Get full text
Article -
6
Scene classification for aerial images based on CNN using sparse coding technique
Published 2017“…Recent developments include several approaches and numerous algorithms address the task. This article proposes a convolutional neural network (CNN) approach that utilizes sparse coding for scene classification applicable for HRRS unmanned aerial vehicle (UAV) and satellite imagery. …”
Get full text
Get full text
Article -
7
Maldroid- attribute selection analysis for malware classification
Published 2019“…Hence, the objective of this paper is to find the most effective and efficient attribute selection and classification algorithm in malware detection. Moreover, in order to get the best combination between attribute selection and classification algorithm, eight attributes selection and seven categories machine learning algorithm are applied in this study. …”
Get full text
Get full text
Get full text
Article -
8
Scene classification for aerial images based on CNN using sparse coding technique
Published 2023Article -
9
Development of a real-time clutch transition strategy for a parallel hybrid electric vehicle
Published 2011“…The present paper develops a real-time clutch transition strategy for a parallel hybrid electric vehicle (HEV) in order to achieve quick and smooth clutch transition engagements between pure electrical driving and hybrid driving. …”
Get full text
Get full text
Get full text
Citation Index Journal -
10
Parallel CFD Simulations of Multiphase Systems: Jet into a Cylindrical Bath and Rotary Drum on a Rectangular Bath.
Published 2001“…In short, this research is intended to establish a strategic procedure to optimize a parallel version of a CFD package, FLUENT. …”
Get full text
Get full text
Article -
11
Single and Multiple variables control using Tree Physiology Optimization
Published 2017“…The proposed algorithm is also compared with deterministic gradient-free algorithm: Nelder-Mead simplex (NMS) and another metaheuristic algorithm: Particle Swarm Optimization (PSO). …”
Get full text
Get full text
Article -
12
Whale Optimisation Freeman Chain Code (WO-FCC) extraction algorithm for handwritten character recognition
Published 2021Get full text
Get full text
Get full text
Conference or Workshop Item -
13
A study of the high-performance computing parallelism in solving complexity of meteorology data and calculations
Published 2024“…Our investigation elaborates on, identifies, and analyzes the features and characteristics of parallel computing that are utilized in it. The paper also focuses on examining parallelization modeling, the algorithms involved, and optimization strategies employed in HPC-enabled meteorological simulations. …”
Get full text
Get full text
Get full text
Article -
14
A multilayered convolutional sparse coding framework for modeling of pooling operation of convolution neural networks
Published 2019“…The multilayered version of CSC(ML-CSC) is shown to be connected to forward pass of CNNs and dictionary learning and sparse coding algorithms of this model are analyzed for solving classification and inverse problems in image processing. …”
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
15
Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing
Published 2013“…Load balancing optimization techniques such as Ant Colony Optimization (ACO), First Come First Served (FCFS), Round Robin (RR) and Particle Swarm Optimization (PSO) are popular techniques being used for scheduling and load balancing. …”
Get full text
Thesis -
16
Improving hand written digit recognition using hybrid feature selection algorithm
Published 2022“…Therefore, many researchers have applied and developed various machine learning algorithms that could efficiently tackle the handwritten digit recognition problem. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
17
Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
Published 2024thesis::doctoral thesis -
18
Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…Hence; intelligent techniques can be utilized in manufacturing process planning optimization strategies that aim to improve operating levels in reconfigurable manufacturing with the resultant benefits of improved performance levels.…”
Get full text
Get full text
Thesis -
19
-
20
EMG motion pattern classification through design and optimization of neural network
Published 2012“…This paper illustrates the classification of EMG signals through design and optimization of Artificial Neural Network (ANN). Different types of ANN models are basically structured with many interconnected network elements which can develop pattern classification strategies based on a set of input/training data. …”
Get full text
Get full text
Get full text
Proceeding Paper
