Search Results - (( site selection problems algorithm ) OR ( basic visualization learning algorithm ))
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Algorithm-program visualization model : An intergrated software visualzation to support novices' programming comprehension
Published 2015“…The role of Software Visualization (SV) has been involved to overcome the complexity and problems in the learning programming. …”
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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“…This research focuses on two solid waste management (SWM) problems, particularly the landfill site selection problem (LSSP) and the waste collection vehicle routing problem (WCVRP). …”
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Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
Published 2000“…This system is achieved using the Genetic Algorithm which is capable of performing information retrieval and learning algorithm. …”
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The A-rray: visual animation in learning structured programming / Wan Salfarina Wan Husain ,Siti Hasrinafasya Che Hassan and Wan Norliza Wan Bakar
Published 2018“…According to the result of students' learning style by using a set of Learning Style Inventory, 54% of students are visual thinkers. …”
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A review on monocular tracking and mapping: from model-based to data-driven methods
Published 2022“…This article starts by introducing the basic sensor systems and analyzing the evolution of monocular tracking and mapping algorithms through bibliometric data. …”
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Autonomous flight algorithm of a quadcopter sensing system for methane gas concentration measurements at landfill site
Published 2018“…This quadcopter uses an algorithm to remotely and autonomously measure the methane gas concentrations in user defined areas at landfill sites. …”
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Integrated Features by Administering the Support Vector Machine of Translational Initiations Sites in Alternative Polymorphic Context
Published 2012“…Many algorithms and methods have been proposed for classification problems in bioinformatics. …”
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A novel framework for identifying twitter spam data using machine learning algorithms
Published 2020“…The feature selection is introduced to select the most important from the extracted high-dimensional best features and feed the selected features into the minimum Redundancy and Maximal Relevance algorithm and apply random forest for classification. …”
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The Role of Machine Learning and Deep Learning Approaches for the Detection of Skin Cancer
Published 2023“…Moreover, this paper also defined the basic requirements for creating a skin cancer detection application, which revolves around two main issues: the full segmentation image and the tracking of the lesion on the skin using deep learning. …”
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A new framework for geospatial site selection using artificial neural networks as decision rules: a Case study on landfill sites
Published 2015“…A multilayer feed-forward network with a backpropagation algorithm was used to train the networks from prior sites to assess, generalize, and evaluate the outputs on the basis of the inputs for the new sites. …”
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Integration Of Travel Time Zone For Optimal Siting Of Emergency Facilities
Published 2008“…Hence it is called the Maximal Service Area Problem (MSAP). The MSAP is a discrete model where a specified number of facilities that achieve the best objective function value of the model are selected out of a finite set of candidate sites. …”
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An improved partial comparison optimization for utilizing landfill facilities in a waste collection vehicle routing problem
Published 2025“…Thus, this study introduces a new constraint to ensure the effective use of all landfill sites in WCVRP. To integrate this constraint, an enhanced Partial Comparison Optimization (PCO) algorithm is proposed. …”
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Optimizing palm oil biomass collection: genetic algorithm approaches in solving location-routing problem
Published 2025“…To achieve these objectives, the research employs genetic algorithm (GA) approaches, incorporating innovative strategies, namely automated mutation operator selection (AMOS) and elite child population (ECP). …”
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A novel neuroscience-inspired architecture: for computer vision applications
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A framework of rough cultural algorithms in optimizing mobile web caching performance
Published 2007“…Hence, the goal of this study is to propose Rough Set (RS) as a knowledge representation for uncertainty in data of client behavior and mobile event specification with resource dependencies to reduce latency by prefetching selected resources to resolve the problems in handling dynamic web pages. …”
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Assessment of suitable hospital location using GIS and machine learning
Published 2022“…Large data availability with challenging features and the proliferation of different methodologies have made it extremely difficult to select the best models that perform for a particular site selection problem. …”
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Restock management system by using market basket analysis / Nazrin Adnan
Published 2016“…The criteria used for the algorithm is previous of customer purchase. To achieve this requirements, a Visual Basic 6 language is used for develop this system as platform and MSAcess Databse use for save and retieve data for analysze purpose. …”
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