Search Results - (( java application path algorithm ) OR ( _ localization techniques algorithm ))
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1
Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…In creating this application, NetBeans IDE 6.5and Java Micro Edition (Java ME) are used. …”
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Thesis -
2
Visdom: Smart guide robot for visually impaired people
Published 2025“…The system architecture integrates ROS 2 on a Raspberry Pi, with TCP/IP connectivity enabling remote operation. An Android mobile application, developed using Java and the java.net.Socket library, provides an intuitive and accessible user interface for seamless interaction with the robot. …”
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Final Year Project / Dissertation / Thesis -
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HYBRID LOCALIZATION TECHNIQUE FOR INDOOR CHILD TRACKING USING WIRELESS SENSOR NETWORK
Published 2012“…The objectives of this thesis are a) to propose a hybrid localization kdnique that has higher localization accuracy and lower algorithm complexcity fbr its real-time execution, and b) to analyze the localition accuracy and algorithm complexity of hybrid technique of K-Nearest Neighbors (KNN) and Fuzzy Logic Indoor localization System (FLIPS), FuzzY-KNN, through experiment, and compare it to other localization techniques for WSN from the literature study.…”
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4
Backpropagation neural network based on local search strategy and enhanced multi-objective evolutionary algorithm for breast cancer diagnosis
Published 2019“…However, the performance of such methods is based on the algorithms or technique. In this paper, we develop an intelligent technique using multiobjective evolutionary method hybrid with a local search approach to enhance the backpropagation neural network. …”
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Metaheuristic optimization techniques for localization in outdoor wireless sensor networks: a comprehensive review
Published 2025“…This paper provides an overview of localization algorithms, including centralized and distributed algorithms. …”
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Hybrid genetic algorithm for improving fault localization
Published 2018“…While all these techniques give us good insight on fault localization, but it appears that these techniques are made based on the assumption that the faults are caused by a single fault. …”
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7
A Novel Polytope Algorithm based on Nelder-mead method for localization in wireless sensor network
Published 2024“…This work proposes a novel and rigorous efficiency localization algorithm utilizing a simplex optimization approach for node localization. …”
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IWDSA: a hybrid Intelligent Water Drops with a Simulated Annealing for the localization improvement in wireless sensor networks
Published 2024“…This paper considers a modern and qualified algorithm that leverages advanced optimization techniques to localize nodes deployed in outdoor environments. …”
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Chaotic Mapping Lion Optimization Algorithm-Based Node Localization Approach for Wireless Sensor Networks
Published 2023“…Furthermore, the CMLOA-NLA technique was demonstrated to be highly robust against localization error and transmission range with a minimum average localization error of 2.09%. …”
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10
Pendulum-like algorithm as a local search technique
Published 2023“…Aluminum; Approximation algorithms; Local search (optimization); Optimization; Pendulums; Problem solving; attraction; Global solutions; Local search; Local search techniques; Optimization problems; repulsion; Repulsion mechanisms; simple harmonic; Parameter estimation…”
Conference Paper -
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A study of acceleration techniques in training neural networks - local adaptive techniques / Norpah Mahat
Published 2011“…Till today, it has been a great challenge in optimizing the training time in neural networks. This paper presents Local Adaptive Techniques and Dynamic Adaptation Methods as acceleration techniques for neural networks. …”
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13
A hybrid algorithm of source localization based on hyperbolic technique in WSN
Published 2014“…These methods include Time of Arrival (TOA), Time Difference of Arrival (TDOA), Frequency Difference of arrival (FDOA), Angle of Arrival (AOA) and Received Signal Strength (RSS) of the transmitted emitter signal. Comparing all localization techniques, TDOA and FDOA localization techniques (hyperbolic) are one of the simplest and most cost effective. …”
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Conference or Workshop Item -
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Hybrid genetic algorithm for uncapacitated university examination timetabling problem
Published 2015“…The PGA will then hybridised with three new local optimisation techniques, which will make up the HGA; to improve the solutions found. …”
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Thesis -
15
A survey on DV-Hop localization techniques in Three-dimensional wireless sensor networks
Published 2020“…Distance vector hop (DV-Hop) localization algorithm as the typical range-free algorithm that has been widely applied in various applications. …”
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Stray animal complaint system using geolocation technique with rule-based Algorithm / Albin Lemuel Kushan … [et al.]
Published 2021“…In addition to that, geolocation technique is implemented to provide a better information in terms of the complainant’s location, and together with the utilization of a rule-based algorithms based on priority to provide the local council a better insight on the issue. …”
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Book Section -
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Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions
Published 2018“…The second technique is to solve bi-objective functions by using the BOBAT algorithm. …”
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Thesis -
18
Indoor localization system using particle swarm optimization
Published 2015“…In this paper, we introduce an algorithm using PSO for indoor localization system. …”
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Conference or Workshop Item -
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An adaptive ant colony optimization algorithm for rule-based classification
Published 2020“…Thus, the proposed AGI-AntMiner algorithm is capable in conducting an efficient search in finding the best classification rules that balance the classification accuracy and model complexity to overcome overfitting and local optima problems.…”
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Thesis -
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Hierarchical multi-agent system in traffic network signalization with improved genetic algorithm
Published 2019“…A dynamic modeling technique is proposed using Q-learning (QL) algorithm to online observe and learn the inflow-outflow traffic behaviors and extract the model parameters to update the evaluation model used in the fitness function of genetic algorithm (GA). …”
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