Search Results - (( data visualization path algorithm ) OR ( variable teaching based algorithm ))
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Investigating and developing the best method in shortest path for implementing a geographical information system (e-map) for Peninsular Malaysia
Published 2005“…There are many algorithms have been designed to find these paths. The algorithms such as Djikstra, Bellman-Ford or Floyd- Warshall are difference from one to another due to the simplicity, effectiveness and duration of processing the nodes. …”
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Monograph -
2
A Study of Visual Attention in Diagnosing Cerebellar Tumours
Published 2009“…In particular, the eye-tracking data revealed which aspects of the spectrogram received more visual attention and in what order they were viewed. …”
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Article -
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Development of Path Loss Models for Smooth and Convex Surfaces Terrains in Malaysian Environment
Published 2004“…A computer program was developed to acquire measured field strength data from the spectrum analyzer and convert the values to path loss using Agilent Visual Engineering Environment (VEE). …”
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Thesis -
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A Development Of An Internet Of Things Equipped Unmanned Ground Vehicle For Surveilance Purpose
Published 2019“…The data stored in the cloud can be retrieved and processed using ThingSpeak software as this software allow user to aggregate, visualize, and analyze live data streams in the cloud. …”
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Monograph -
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A coverage path planning approach for autonomous radiation mapping with a mobile robot
Published 2023Article -
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Development of obstable avoidance system for 3D robot navigation
Published 2024“…Rviz2 was utilized for visualizing coordinate frames. The algorithm was tested in both simulation and on the physical robot. …”
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Final Year Project / Dissertation / Thesis -
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The evolution and trend of chain code scheme
Published 2008“…This paper explains some chain code concepts and their applications that are be the background of the development of vertex chain code cells algorithm. This algorithm is able to visualize and to transcribe a binary image into vertex chain code easily. …”
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Article -
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Courier delivery services visualisor (CDSV) with an integration of genetic algorithm and A* engine
Published 2017“…This study developed Courier Delivery Services Visualisor (CDSV) that is able to visualize the best route to be taken by distributor, so that the courier service can arrive on time.CDSV employed Genetic Algorithm (GA) and Astar Algorithm (A*) that integrates with Geographical Information System (GIS) data.A graphical user interface in the form of simulation map that suggests the best route and the optimal distance are displayed for easier courier service distribution references.…”
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Conference or Workshop Item -
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Using artificial intelligence search in solving the camera placement problem
Published 2022“…The computation of the coverage table offers essential data to formulate the search space. Furthermore, in order to locate the solution to the problem, each search strategy defines a unique path throughout the search space. …”
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Book -
10
Enhancing wind power forecasting accuracy with hybrid deep learning and teaching-learning-based optimization
Published 2024“…This paper presents an innovative approach that combines deep learning (DL) with Teaching-Learning-Based Optimization (TLBO) to predict wind power output accurately. …”
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Enhancing understanding of programming concepts through physical games
Published 2017“…The objective of our teaching approach is to introduce playing physical games using learner's body movement) in contrast to purely computer-based or board games as a tool to teach programming related subjects. …”
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Conference or Workshop Item -
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A comparative study of COVID-19 CT image synthesis using GAN and CycleGAN
Published 2022“…Generative adversarial networks (GANs) have been very successful in many applications of medical image synthesis, which hold great clinical value in diagnosis and analysis tasks, especially when data is scarce. This study compares the two most adopted generative modelling algorithms in recent medical image synthesis tasks, namely the traditional Generative Adversarial Network (GAN) and Cycleconsistency Generative Adversarial Network (CycleGAN) for COVID-19 CT image synthesis. …”
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Proceedings -
13
Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System
Published 2008“…It has been found that the modeled predictions of depth and discharge matched observed data. A good agreement between the simulated and observed data was achieved for rating curves with RMSE = 0.96, 0.94, 0.95, and 0.97 at respective calibration points. …”
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Permodelan Rangkaian Neural Buatan Untuk Penilaian Kendiri Teknologi Maklumat Guru Pelatih
Published 2001“…Artificial Neural Network is one of the branches of Artificial Intelligence which is utilized for the purpose of classification and prediction based on data in hand. The purpose of the study is to develop a web-based self assessment information system that can be used to obtain a model for prediction of information technology competency among teacher trainees in teaching institutes. …”
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Technical efficiency performance of Malaysian public research universities: Fuzzy data envelopment analysis / Saber Abdelall Mohamed Ahmed
Published 2023“…With the growing importance for universities to achieve higher international ranking, that this study proposes the international QS world ranking indicators as the output variables, namely: Teaching Reputation, Research Reputation, and the citations percentage ratio. …”
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18
Bayesian network of influence of sociodemographic variables on dengue related knowledge, attitude, and practices in selected areas in Selangor, Malaysia
Published 2019“…The data collected was used to learn the structure of BN via some known algorithms using R programming language. …”
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A simulation-metaheuristic approach for finding the optimal allocation of the battery energy storage system problem in distribution networks
Published 2023“…This study will use Teaching Learning-Based Optimization (TLBO) as the main optimizer for the problem simulation. …”
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Article -
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Development of mapping methods for seagrass meadows in Malaysia by using landsat images
Published 2015“…A statistical assessment and an evaluation of the twelve SLC-off and four SLCon images covering seagrass meadows of Sungai Pulai estuary, Johor, Malaysia were conducted for data loss estimates. This analysis revealed a 2% systematic error attributable to a gradual increase of SLC-off stripes from the central nadir path towards the edge of the scene. …”
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