Search Results - (( model evaluation based algorithm ) OR ( travel information system algorithm ))
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Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.]
Published 2022“…From the machine learning evaluation, Random Forest algorithm has generated the most accurate prediction compared to Decision Tree, Logistic Regression and Generalized Linear Model. …”
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Implementation of case-based reasoning in help desk system
Published 2019“…Moreover, the system model will be tested by several experiments to evaluate its performance. …”
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Undergraduates Project Papers -
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Mobile Crowd Steering Evacuation Model via Agent Based Simulation by Applying the Social Force Model
Published 2025“…It overcomes the cost of capturing and pre-processing genuine crowd datasets. Famous simulation models include agent-based crowd guiding. The evaluation states that the existing agent-based steering model computes the complete set of collision-free paths with the least travel time among agents to make path decisions based on updated information. …”
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Thesis -
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Cooperative heterogeneous vehicular clustering for road traffic management / Iftikhar Ahmad
Published 2019“…In most cases, multiple vehicles in proximity require the same information from traffic information systems (TISs) while traveling in the same direction. …”
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A collaborative filtering recommender system for infrequently purchased product using slope-one algorithm and association rule mining
Published 2015“…This recommender system uses slope-one algorithm whereby it accumulate and takes into account of the difference in popularity. …”
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Ant colony system with heuristic function for the travelling salesman problem
Published 2013“…Ant colony system which is classified as a meta-heuristic algorithm is considered as one of the best optimization algorithm for solving different type of NP-Hard problem including the travelling salesman problem.A heuristic function in the Ant colony system uses pheromone and distance values to produce heuristic values in solving the travelling salesman problem.However, the heuristic values are not updated in the entire process to reflect the knowledge discovered by ants while moving from city to city. …”
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New heuristic function in ant colony system for the travelling salesman problem
Published 2012“…However, one part of the algorithm, called heuristic function, is not updated at any time throughout the process to reflect the new information discovered by the ants.This paper proposes an Enhanced Ant Colony System algorithm for solving the Travelling Salesman Problem.The enhanced algorithm is able to generate shorter tours within reasonable times by using accumulated values from pheromones and heuristics.The proposed enhanced ACS algorithm integrates a new heuristic function that can reflect the new information discovered by the ants. …”
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Conference or Workshop Item -
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Travelling Salesman Problem using Prim Algorithm in High Performance Computing
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Final Year Project -
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A Novel Path Prediction Strategy for Tracking Intelligent Travelers
Published 2009“…While enhancement of the physical system itself can reduce the risk of disconnections, complementary algorithms provide even more robustness in localization and tracking of the traveler. …”
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Thesis -
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Analysis of Travellers’ Online Reviews in Social Networking Sites Using Fuzzy Logic Approach
Published 2019“…We extend the crisp-based multi-criteria algorithms to fuzzy-based multi-criteria algorithms for finding the similarities between the travellers based on their provided ratings. …”
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New heuristic function in ant colony system algorithm
Published 2012“…NP-hard problem can be solved by Ant Colony System (ACS) algorithm.However, ACS suffers from pheromone stagnation problem, a situation when all ants converge quickly to one sub-optimal solution.ACS algorithm utilizes the value between nodes as heuristic value to calculate the probability of choosing the next node.However, the heuristic value is not updated throughout the process to reflect new information discovered by the ants.This paper proposes a new heuristic function for the Ant Colony System algorithm that can reflect new information discovered by ants.The credibility of the new function was tested on travelling salesman and grid computing problems.Promising results were obtained when compared to classical ACS algorithm in terms of best tour length for the travelling sales-man problem. …”
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Conference or Workshop Item -
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TRIP PLANNER MOBILE APPLICATION FOR SARAWAK TOURIST WITH USING INTELLIGENT AGENT BASED DECISION MAKING ALGORITHMS
Published 2020“…This project will also provide event information and notification to tourists. Plus, the tourists can keep their travel itinerary in this system. …”
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Final Year Project Report / IMRAD -
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Mobile Travel Guide For Tourism
Published 2007“…The system implementation is done through a wireless modem connected to a server that contains the database of all information. …”
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Final Year Project -
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Developing Bus Tracking System that predicts the arrival times of public buses at Universiti Teknologi PETRONAS (UTP) bus stops.
Published 2004“…Travel Information System (TIS) has been used widely in certain countries such as Singapore and United States of America (Stephanie Yap, 2003). …”
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Final Year Project -
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Rapid Penang travel planner mobile application using GPS positioning and decision-making algorithm / Naslyiana Abdul Latif
Published 2015“…Thus, the public transportation system itself should be friendly user. Information about bus schedules and point of interest should be easy receive by users. …”
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Thesis -
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A Comparative Study of African Buffalo Optimization and Randomized Insertion Algorithm for Asymmetric Travelling Salesman's Problem
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Conference or Workshop Item -
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Travel-Time Estimation By Cubic Hermite Curve
Published 2022“…Design speed is determined from the curvature value, and thus an algorithm for travel-time estimation incorporating initial driving information is developed. …”
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