Search Results - (( _ evacuation path algorithm ) OR ( rate selection based algorithm ))

High Rise Building Evacuation Route Model Using DIJKSTRA'S Algorithm by Mohd Sabri, Nor Amalina

“…The objective is to design and develop an evacuation route using shortest path algorithm based on the evacuation map of the building. …”
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Simulation method of shortest and safest path algorithm for evacuation in high rise building by Mohd Sabri, Nor Amalina, Hasan Basari, Abd Samad, Hussin, Burairah, Abu Samah, Khyrina Airin Fariza

“…The objectives of this research are to identify the suitable shortest and safest path algorithm for evacuation, and followed by design and develop an evacuation preparedness model simulation via shortest path algorithm to choose a suitable exit route to evacuate the evacuees. …”
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Modification of dijkstra's algorithm for safest and shortest path during emergency evacuation by Khyrina Airin Fariza, Abu Samah, Burairah, Hussin, Abd Samad, Hasan Basari

“…The example is presented to compare the result obtained using the modified algorithm. Thus, it reveals the effectiveness of the modification in determining the best path for the evacuation process.…”
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Modelling Autonomous Evacuation Navigation System (AENS) for optimal route using Dijkstra's algorithm by Abu Samah, Khyrina Airin Fariza

“…Through ST adaptation, all subsystems were integrated and using the “Dijkstra’s algorithm” (DA) by modifying its function from shortest path algorithm to safest and shortest algorithm, to the nearest exit. …”
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Revolutionizing crowd safety: A breakthrough hybrid whale-bat chaotic algorithm (WOABCM) for optimized evacuation simulations by Hamizan, Sharbini, Mohamad Shukor, Talib, Noorfa Haszlinna, Mustaffa, Habibollah, Haron

“…The Whale-Bat Chaotic Algorithm (WOABCM) is a revolutionary tool for optimizing pathfinding navigation in crowd evacuation scenarios. …”
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The Hybrid of WOABAT-IFDO Optimization Algorithm and Its Application in Crowd Evacuation Simulation by Hamizan, Sharbini, Roselina, Sallehuddin, Habibollah, Haron

“…Ultimately, the algorithm’s performance also has been tested in crowd simulation evacuation that involves a different number of agents and with/without obstacle scenario. …”
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Mobile Crowd Steering Evacuation Model via Agent Based Simulation by Applying the Social Force Model by Norhaida, Binti Hussain, Wai Shiang, Cheah, Wai Loke, Seng

“…The communication model is added to the simulation model to demonstrate the use of word-of-mouth during evacuation. A role selection algorithm chooses the leader before the evacuation. …”
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Enhancement of collision avoidance technique in dynamic crowd simulations using visual cues and vision based algorithm by Iznora Aini Zolkifly

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Aplikasi Algoritma Dijkstra dalam Penyelesaian Berbagai Masalah by Rosyid Ridlo, Al Hakim, Muhammad Haikal, Satria, Yanuar Zulardiansyah, Arief, Agung, Pangestu, Ariep, Jaenul, Revita Desi, Hertin, Dian, Nugraha

“…The application of Dijkstra's Algorithm in everyday life is very diverse. This study collects research results regarding the application of Dijkstra's Algorithm to solve everyday problems such as the shortest path problem, this mini-review paper can explain the study of Dijkstra's Algorithm for various things, including solving bi-objective shortest routes, multi-objective routes, emergency evacuation, Dijkstra's graph, the connection between LBS features, best route distribution, and fuzzy solution.…”
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Artificial immune system based on real valued negative selection algorithms for anomaly detection by Khairi, Rihab Salah

“…The Real-Valued Negative Selection Algorithms, which are the focal point of this research, generate their detector sets based on the points of self data. …”
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Static and self-scalable filter range selection algorithms for peer-to-peer networks by Kweh, Yeah Lun

“…Two multiple selection algorithm, which are known as “static filter range selection algorithm” and “self-scalable selection algorithm” are proposed. …”
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The Bacterial Foraging Optimisation Algorithm using Prototype Selection and Prototype Generation for Data Classification by Faizol, Bin Mohd Suria

“…Technically, BFOA has been applied as supplementary algorithm for optimizing weight, parameters for other classifier algorithms and selecting optimised features for other classifiers. …”
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Enhanced AI-based anomaly detection method in the intrusion detection system (IDS) / Kayvan Atefi by Atefi, Kayvan

“…Some of the previous researchers used a feature set selection which is introduced for IDS but there still shortage in their detection rate and selected amounts of features. …”
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Workload performance evaluation of large spatial database for DSS based disaster management by Rohman, Muhammad Syaifur

“…For example, it has been proven that Dijkstra Algorithm is able to determine the shortest and the safest path. …”
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Intelligent Multi-cellular Network Connectivity for Internet of Things Applications by Gsangaya K.R., Hajjaj S.S.H., Hashim W., Razali R.A.

An enhancement of classification technique based on rough set theory for intrusion detection system application by Noor Suhana, Sulaiman

“…In order to improve classification performance problem, feature selection and discretization algorithm are crucial in selecting relevant attributes that could improve classification performance. …”
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Enhancement of bearing defect diagnosis via genetic algorithm optimized feature selection by Chia, Yee Shin

“…Therefore a correlation-based filtering algorithm is embedded into GA feature selection to solve the over-fitting problem and increase the adaptability of the diagnostic scheme to unpredictable input data. …”
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Mutable composite firefly algorithm for gene selection in microarray based cancer classification by Fajila, Mohamed Nisper Fathima

“…Hence, this study proposed to modify the Firefly Algorithm (FA) along with the Correlation-based Feature Selection (CFS) filter for the gene selection task. …”
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The effect of replacement strategies of genetic algorithm in regression test case prioritization of selected test cases by Musa, Samaila, Md Sultan, Abu Bakar, Abd Ghani, Abdul Azim, Baharom, Salmi

“…The goal is to compare different replacement strategies of GA and select the best strategy that will make prioritization to order selected test cases based on their fitness. …”
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Extremal region selection for MSER detection in food recognition by Razali, Mohd Norhisham, Manshor, Noridayu, Abdul Halin, Alfian, Mustapha, Norwati, Yaakob, Razali

“…Therefore, this research proposes an Extremal Region Selection (ERS) algorithm to improve MSER detection by reducing the number of irrelevant extremal regions by using unsupervised learning based on the k-means algorithm. …”
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