Search Results - (( data visualization path algorithm ) OR ( variable equations learning algorithm ))
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1
Weather prediction in Kota Kinabalu using linear regressions with multiple variables
Published 2021“…Numerical weather prediction is the process of using existing numerical data on weather conditions to forecast the weather using machine learning algorithms. This study employs machine learning algorithms, a linear regression model using statistics, and two optimization approaches, the normal equation approach, and gradient descent approach to predict the weather based on a few variables. …”
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Proceedings -
2
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 -
3
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 -
4
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 -
5
Modeling and validation of base pressure for aerodynamic vehicles based on machine learning models
Published 2023“…The data for training and testing the algorithms was derived using the regression equation developed using the Box-Behnken Design (BBD). …”
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Article -
6
Classification of students' performance in computer programming course according to learning style
Published 2024Conference Paper -
7
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 -
8
A coverage path planning approach for autonomous radiation mapping with a mobile robot
Published 2023Article -
9
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 -
10
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 -
11
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 -
12
Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…In the developed feature selection approach, multi-objective binary-valued backtracking search algorithm (MOBBSA) is used as an efficient evolutionary search algorithm to search within different combinations of input variables and selects the non-dominated feature subsets, which minimize simultaneously both the estimation error and the number of features. …”
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Thesis -
13
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 -
14
Tangible interaction learning model to enhance learning activity processes among children with dyslexia
Published 2024“…To find optimum variables, Machine Learning approach needs to be utilized. …”
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Thesis -
15
Intelligent imputation method for mix data-type missing values to improve data quality
Published 2024“…To find optimum variables, Machine Learning approach needs to be utilized. …”
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Thesis -
16
Strategic capabilities, innovation strategy and the performance of food and beverage small and medium enterprises
Published 2019“…Consequently, the significant positive impacts of top management, technological, learning and relational capabilities postulate that these variables are valuable in influencing performance directly and indirectly through innovation strategy. …”
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Thesis -
17
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 -
18
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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Thesis -
19
Operational matrix based on orthogonal polynomials and artificial neural networks methods for solving fractal-fractional differential equations
Published 2024“…Finally, ANNs employing a combination of power series methods in the GCFFD are developed to approximate solutions of higher-order linear FFDEs with both constant and variable coefficients. Initially, the algorithm utilized a truncated series. …”
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Thesis -
20
Prediction on the mechanical strength of coal ash concrete using artificial neural network
Published 2022“…This type of analysis involves one or more independent variables that may most accurately predict the value of the dependent variable and calculates the coefficients of the linear equation. …”
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Conference or Workshop Item
