Search Results - (( java segmentation using algorithm ) OR ( mobile selection methods algorithm ))
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1
Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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Thesis -
2
Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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3
Automated feature selection using boruta algorithm to detect mobile malware
Published 2020“…Boruta algorithm is used to select features automatically for assisting the machine learning. …”
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4
Development of seven segment display recognition using TensorFlow on Raspberry Pi
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5
Development of mobile robot and localization system
Published 2014“…Thus, the research involves designing an indoor mobile robot and creating algorithm for the mobile robot to localize. …”
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6
Enhancing the QoS performance for mobile station over LTE and WiMAX networks / Mhd Nour Hindia
Published 2015“…These algorithms can improve mobile stations’ quality of service as well as guarantee seamless mobility across the Long-Term Evolution (LTE) and Worldwide Interoperability for Microwave Access (WiMAX) technologies. …”
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7
Mobile agent routing for query retrieval using genetic algorithm
Published 2004“…Mobile agents often have a task to collect data from several predefined sites.This should be done in an efficient way by minimizing the elapsed time.Usually these agents only know the list of sites but not the distances between them.This paper proposes a method to minimize a network routing time taken by the mobile agents to collect information from different sites using genetic algorithm (GA).The mobile agents repeat travelling over short routes and avoid longer ones.Mobile agents for query retrieval have used the GA to select the best routes that minimize the query retrieval time.The result shows that the proposed method provides good time minimization in retrieving the query results by the mobile agents based on different GA parameters.…”
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8
Route selection of mobile agent for query retrieval using GA
Published 2004“…This paper proposes a method to minimize a network routing time taken by the mobile agents to collect information from different sites using genetic algorithm (GA). …”
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9
Prediction and multi-criteria-based schemes for seamless handover mechanism in mobile WiMAX networks
Published 2013“…In the proposed HATSC scheme, the AHP method is uese for criteria weighting, while the TOPSIS method uses for the selection technique based on a multi-criteria decision-making algorithm is proposed. …”
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10
Mobility management schemes based on multiple criteria for optimization of seamless handover in long term evolution networks
Published 2014“…The simulation results show that FMCCS outperforms conventional and cell selection scheme (CSS) methods in HOPP reduction by approximately 27% and 23% and HOF reduction by 19% and 15%, respectively. …”
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11
Adaptive route optimization for mobile robot navigation using evolutionary algorithm
Published 2021“…Various kind of path planning algorithm was introduced in the past, but no algorithm has absolute superior towards the others algorithm. …”
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Proceedings -
12
A generalized laser simulator algorithm for mobile robot path planning with obstacle avoidance
Published 2022“…This paper aims to develop a new mobile robot path planning algorithm, called generalized laser simulator (GLS), for navigating autonomously mobile robots in the presence of static and dynamic obstacles. …”
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13
Intrusion Detection in Mobile Ad Hoc Networks Using Transductive Machine Learning Techniques
Published 2011“…In machine learning algorithm, choosing the most relevant features for each attack is a very important requirement, especially in mobile ad hoc networks where the network topology dynamically changes. …”
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14
A host mobility support with adaptive network selection method in hybrid wireless environment
Published 2009“…The proposed network selection algorithm is based on hybrid neuro-fuzzy concept with low packet loss and latency. …”
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15
A comprehensive overview of classical and modern route planning algorithms for self-driving mobile robots
Published 2022“…Classical or traditional methods, such as Roadmaps (Visibility Graph and Voronoi Diagram), Potential Fields, and Cell Decomposition, and modern methodologies such as heuristic-based (Dijkstra Method, A* Algorithms, and D* Algorithms), metaheuristics algorithms (such as PSO, Bat Algorithm, ACO, and Genetic Algorithm), and neural systems such as fuzzy neural networks or fuzzy logic (FL) and Artificial Neural Networks (ANN) are described in this report. …”
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16
The Significant Effect of Feature Selection Methods in Spam Risk Assessment Using Dendritic Cell Algorithm
Published 2024“…This feature selection method then further fed in conjunction with the Dendritic Cell Algorithm (DCA) as the classifier to measure the risk concentration of a spam message. …”
Proceedings Paper -
17
Selection of access network using cost function method in heterogeneous wireless network
Published 2014“…Hence, a vertical handover network selection (VHONS) being used to aid in term of service quality for user's satisfaction of the mobile terminal.This article intends to propose a new method of choosing the vertical handover network. …”
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18
Network routing by mobile agents for image retrieval using fuzzy genetic algorithms
Published 2005“…This research proposes a method to minimize a network routing time taken by the mobile agents using genetic algorithm (GA) to collect query datasets from different hosts from the World Wide Web. …”
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19
The significant effect of feature selection methods in spam risk assessment using dendritic cell algorithm
Published 2024conference output::conference proceedings::conference paper -
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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