Search Results - (( java implication based algorithm ) OR ( ((program using) OR (problem using)) self algorithm ))
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1
Self-similar network traffic using Random Midpoint Displacement (RMD) algorithm / Jumaliah Saarini
Published 2006“…The way to solve this problem, we applied the existed method in visual C++ programming with used the Random midpoint Displacement (RMD) algorithm. …”
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Student Project -
2
Dual-head marking performance optimisation via evolutionary solutions
Published 2023“…This paper presents a new approach to optimise the performance of a multi-head marking system in terms of its marking speed This processing method named as MMA (Molecular Marking Optimisation algorithm) will adopt the use of Genetic Algorithm. …”
Conference paper -
3
Exploring dynamic self-adaptive populations in differential evolution
Published 2006“…Using De Jong's F1-F5 benchmark test problems, we showed that DE with self-adaptive populations produced highly competitive results compared to a conventional DE algorithm with static populations. …”
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Article -
4
DC-link capacitor voltage control for single-phase shunt active power filter with step size error cancellation in self-charging algorithm
Published 2016“…The other two conventional self-charging algorithms were also programmed for comparison purposes. …”
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Article -
5
DC-link capacitor voltage control for single-phase shunt active power filter with step size error cancellation in self-charging algorithm
Published 2016“…The other two conventional self-charging algorithms were also programmed for comparison purposes. …”
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Article -
6
The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques
Published 2016“…HSV color space and RGB color has been used to analyze the light of the emergency vehicle as well as a feature for classification. …”
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Thesis -
7
A self-adaptive step-size search algorithm for the cardinality constrained portfolio optimisation problem
Published 2024“…This paper proposes a Self-adaptive Step-size Search (SASS) algorithm to address a Cardinality Constrained Portfolio Optimisation Problem (CCPOP). …”
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Proceedings -
8
Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering
Published 2024“…To address the noise problem in multi-view data, this study enhances the gbs method and develops a new self-weighted graph multi-view clustering algorithm (swmcan). …”
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Thesis -
9
Static and self-scalable filter range selection algorithms for peer-to-peer networks
Published 2011“…Two multiple selection algorithm, which are known as “static filter range selection algorithm” and “self-scalable selection algorithm” are proposed. …”
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Thesis -
10
An improved self organizing map using jaccard new measure for textual bugs data clustering
Published 2018“…Considering the unsupervised learning algorithms, Self-Organizing Map (SOM) considers the equally compatible algorithm for clustering, as both algorithms are closely related but different in way they were used in data mining. …”
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Thesis -
11
An improved self organizing map using jaccard new measure for textual bugs data clustering
Published 2018“…Considering the unsupervised learning algorithms, SelfOrganizing Map (SOM) considers the equally compatible algorithm for clustering, as both algorithms are closely related but different in way they were used in data mining. …”
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Thesis -
12
Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…ARDE algorithm makes use of JADE strategy and the MDE_pBX parameters adaptive schemes as frameworks. …”
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13
Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…From the reviews, it is evident that autonomous system is set to handle finite number of encountered states using finite sequences of actions. In order to learn the optimized states-action policy the self-learning algorithm is developed using hybrid AI algorithm by combining unsupervised weightless neural network, which employs AUTOWiSARD and reinforcement learning algorithm, which employs Q-learning. …”
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14
Activity recognition using one-versus-all strategy with relief-f and self-adaptive algorithm
Published 2018“…Relief-f used to rank the features and prune insignificant features, self-adaptive algorithm selects the relevant ones, and OVA transform features into a series of two-class classification problems, and later recognized by based classifier. …”
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Conference or Workshop Item -
15
Teaching and learning via chatbots with immersive and machine learning capabilities
Published 2019“…Each of these chatbots focuses on different programming concepts or constructs. These chatbots support learning of Java via problem-solving steps through “learning by doing”. …”
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16
Self-calibration algorithm for a pressure sensor with a real-time approach based on an artificial neural network
Published 2018“…To verify the proposed model’s capability to build a self-calibration algorithm, the model was tested using an untrained input data set. …”
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Article -
17
A Self-Adaptive Enhanced Vibrating Particle System Algorithm For Structural Optimization: Application To Iscso Benchmark Problems
Published 2025“…This research presents a novel SelfAdaptive Enhanced Vibrating Particle System (SA-EVPS) algorithm that automatically adjusts algorithm parameters to improve optimization performance. …”
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Article -
18
Intrusion Prevention and Self-Healing Algorithms Inspired by Danger Theory
Published 2010“…In this paper, software system, design theories and human immune system (HIS) features are used to introduce a novel algorithm for the problem of preventing intrusions and healing the damage which they cause. …”
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Conference or Workshop Item -
19
Development of a Mobile Robot Local Navigation System Based on Fuzzy-Logic Control and Actual Virtual Target Switching
Published 2006“…From TRAINER Software and Colbert Program which were used in the simulation work, the system managed to solve all the problems in sample environments and the results were compared with results from other related methods to show the effectiveness and robustness of the proposed approach.…”
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Thesis -
20
Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem
Published 2023“…The evolutionary algorithm has been extensively used to solve a range of combinatorial optimization problems. …”
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