Search Results - (( based evaluation case algorithm ) OR ( based construction site algorithm ))
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A greedy heuristics multiple criteria model for solving multi-landfill site selection and plant propagation algorithm for improving waste collection vehicle routing solutions
Published 2023“…Both models were tested on a WCVRP benchmark problem and a case-based scenario in Kubang Pasu, Kedah. Five candidate landfill sites were considered. …”
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Thesis -
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Image Detection Model for Construction Worker Safety Conditions using Faster R-CNN
Published 2024journal::journal article -
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Development Of Construction Noise Prediction Method Using Deep Learning Model
Published 2021“…This model could relieve the burden of manual calculations for simple prediction charts, and no previous study has applied this algorithm to construction noise prediction. Based on the concept of a simple prediction chart, several ways for improvement, such as the duty cycle of the machinery and the receiver angle of 360°, can be included in the training noise data. …”
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Spatial Data Mining Model For Landfill Sites Suitability Mapping Based On Neural Networks And Multivariate Analysis
Published 2017“…Hybrid neural network was utilized as an evaluation method to select the optimal selection method and optimal training algorithm. …”
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Smart site monitoring system / Muhammad Azmi and Muhammad Naim Mahyuddin
Published 2023“…The Smart Site Monitoring System is an innovative and integrated approach designed to optimise a construction site management. …”
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Conference or Workshop Item -
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Cloud-based lightweight detection of hardhat compliance based on YOLOv5 in power construction site
Published 2025“…Based on You Only Look Once (YOLO) v5, A cloud-based real-time hardhat-wearing compliance detection system was proposed to detect workers not wearing hardhats in power construction sites. …”
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Case Slicing Technique for Feature Selection
Published 2004“…This technique with k = 10 has been used in this thesis to evaluate the proposed approach. CST was compared to other selected classification methods based on feature subset selection such as Induction of Decision Tree Algorithm (ID3), Base Learning Algorithm K-Nearest Nighbour Algorithm (k-NN) and NaYve Bay~sA lgorithm (NB). …”
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A comparative study on ant-colony algorithm and genetic algorithm for mobile robot planning.
Published 2024“…In conclusion, the study successfully identifies key features in warehouses routing, implements ACO and GA algorithms, and evaluates the performance based on achieved routes and distance.…”
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Conference or Workshop Item -
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T-way testing : a test case generator based on melody search algorithm
Published 2015“…Next, TTT-MS will be executed through main algorithms to generate Parameters Interaction List, Parameter Values Interaction List, and finally generate final Test Cases based on Melody Search Algorithm. …”
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Undergraduates Project Papers -
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Wi-Fi signal strengths database construction for indoor positioning systems using Wi-Fi RFID
Published 2013“…In this research we present a new approach of constructing fingerprint database. We propose a hybrid calibration procedure that combines signal sampling process with path-loss prediction algorithm. …”
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Test Cases Minimization Strategy Based On Flower Pollination Algorithm
Published 2016“…This paper describes the adoption of Flower Pollination Algorithm (FPA) in order to minimize the test cases. …”
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Wi-Fi signals database construction using chebyshev wavelets for indoor positioning systems
Published 2019“…The field tests as well as computer simulation results showed significant improvement in signal strength prediction accuracy compared to existing approximation algorithms. Furthermore, the proposed algorithm can recover missing signal values with much smaller number of on-site measurements compared to conventional calibration algorithm.…”
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Reliability assessment of power system generation adequacy with wind power using population-based intelligent search methods
Published 2017“…Based on this analysis, it was found that, with the inclusion of wind power from both sites, the reliability indices had slightly improved the reliability of RBTS.…”
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