Search Results - intelligence based ((((data algorithm) OR (path algorithm))) OR (bees algorithm))
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Time series data intelligent clustering algorithm for landslide displacement prediction
Published 2018“…To address this problem, an intelligent clustering algorithm for time series data in landslide displacement prediction based on nonlinear dynamic time bending is proposed in this paper. …”
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Performance Analysis of Swarm Intelligence-Based Routing Protocol for Mobile Ad Hoc Network and Wireless Mesh Networks
Published 2009“…Also the main aim of this research is to solve the freezing problem during optimum as well as sub-optimum path discovery process. In this research, Intelligent AntNet based Routing Algorithm (IANRA) is presented for routing in WMNs and MANET to find optimum and near-optimum paths for data packet routing. …”
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Thesis -
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A novel swarm-based optimisation algorithm inspired by artificial neural glial network for autonomous robots
Published 2019“…According to [13], the two best-known swarm intelligence algorithms are Particle Swarm Optimisation (PSO) and Ant Colony Optimisation (ACO). …”
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Monograph -
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False path identification algorithm framework for nonseparable controller-data path circuits
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A Novel Path Prediction Strategy for Tracking Intelligent Travelers
Published 2009“…It is proposed and shown that route-like intelligent motion is based on a combination of decisional and kinematical factors. …”
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A quick gbest guided artificial bee colony algorithm for stock market prices prediction
Published 2018“…In this respect, in the present manuscript, we propose an algorithm based on ABC to minimize the error in the trend and actual values by using the hybrid technique based on neural network and artificial intelligence. …”
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A Novel Map-matching Algorithm to Improve Vehicle Tracking System Accuracy
Published 2008“…The curve-to-curve matching algorithms measure the similarity between the track and possible road path. …”
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Multi agent quality of service routing based on scheme ant colony optimization algorithm
Published 2014“…The proposed scheme has been simulated by OMNET++ and compared with standard AntNet and two well-known standard QoS routings; Widest Shortest Path (WSP) algorithm and Shortest Widest Path (SWP) algorithm. …”
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Thesis -
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Data normalization techniques in swarm-based forecasting models for energy commodity spot price
Published 2014“…Data mining is a fundamental technique in identifying patterns from large data sets.The extracted facts and patterns contribute in various domains such as marketing, forecasting, and medical.Prior to that, data are consolidated so that the resulting mining process may be more efficient.This study investigates the effect of different data normalization techniques.which are Min-max, Z-score and decimal scaling, on Swarm-based forecasting models.Recent swarm intelligence algorithms employed includes the Grey Wolf Optimizer (GWO) and Artificial Bee Colony (ABC).Forecasting models are later developed to predict the daily spot price of crude oil and gasoline.Results showed that GWO works better with Z-score normalization technique while ABC produces better accuracy with the Min-Max.Nevertheless, the GWO is more superior than ABC as its model generates the highest accuracy for both crude oil and gasoline price.Such a result indicates that GWO is a promising competitor in the family of swarm intelligence algorithms.…”
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Conference or Workshop Item -
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Application of Bee Colony Optimization (BCO) in NP-Hard Problems
Published 2011“…Bee-Inspired algorithms were presumed to bring the new direction in the field of Swann Intelligence. …”
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Final Year Project -
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A novel map-matching algorithm to improve vehicle tracking system accuracy
Published 2007“…Point-to-curve matching algorithm is not suitable to the problem since it ignores any historical data and often gave unstable, jumping results. …”
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Efficient and scalable ant colony optimization based WSN routing protocol for IoT
Published 2020“…In this paper, an ant colony optimization (ACO) based WSN routing algorithm for IoT has been proposed and analyzed to enhance scalability, to accommodate node mobility and to minimize initialization delay for time critical applications in the context of IoT to find the optimal path of data transmission, improvising efficient IoT communications. …”
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A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy
Published 2008“…The satellite-based vehicle tracking systems accuracy can be improved by augmenting the positional information using road network data, in a process known as map-niatcliing. …”
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Final Year Project -
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A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy
Published 2008“…The results showed that the proposed algorithm is able to improve the map-matching accuracy as compared to the point-to-curve algorithm. …”
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Optimal design of step – cone pulley problem using the bees algorithm
Published 2021“…Most of these algorithms were developed based on the collective behavior of social swarms of ants, bees, a flock of birds, and schools of fish. …”
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Book Chapter -
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Using artificial intelligence search in solving the camera placement problem
Published 2022“…The placement results obtained based on those algorithms are critically compared in terms of the algorithmsâ�� efficiency and performance. …”
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