Search Results - (( based constructive method algorithm ) OR ( model visualization using algorithm ))

Graph coloring program of exam scheduling modeling based on bitwise coloring algorithm using python by Arifin, Samsul, Muktyas, Indra Bayu, Al Maki, Wikky Fawwaz, Mohd Khairul Bazli, Mohd Aziz

“…Graph coloring has a wide range of applications and is commonly used to solve scheduling issues. In this article, the researchers design an algorithm and apply it to a computer program (Python) to solve graph coloring and to visualize the variation of exam scheduling modeling at Binus University in graphs based on the Bitwise Graph Coloring Algorithm. …”
Get full text
Get full text
Get full text

B-spline curve fitting with different parameterization methods by Kheng, Jia Shen

“…After generating control points, distance between the generated and original data points is used to identify the error of the algorithm. Later, genetic algorithm and differential evolution optimization are used to optimise the error of the curve. …”
Get full text
Get full text

Predicting 30-day mortality after an acute coronary syndrome (ACS) using machine learning methods for feature selection, classification and visualization by Nanyonga Aziida, Sorayya Malek, Firdaus Aziz, Khairul Shafiq Ibrahim, Sazzli Kasim

“…Identifying a feature selection method with a classifier algorithm that produces high performance in mortality studies is essential and has not been reported before. …”
Get full text
Get full text
Get full text

Study of Free Falling Particle in Viscous Fluid by a/l Jeyaprakasam, Gajendran

“…Matrix Laboratory or Matlab is used to solve, model and simulate the motion of particle based on already proven mathematical modelling and numerical methods. …”
Get full text
Get full text

Digital Surface Model (DSM) Construction and Flood Hazard Simulation for Development Plans in Naga City, Philippines by Abd Rahman, Muhammad Zulkarnain, Dinand, Alkema

“…In this paper, there are 4 interpolation methods used, namely Australian National University's Digital Elevation Model algorithm (ANUDEM), Kriging, Polynomial and Triangulated Irregular Network (TIN). …”
Get full text
Get full text

Maass cusp form on asymmetric hyperbolic torus by Shamsuddin, Nor Syazana

“…The computation of MCF is an adapted algorithm of Hejhal and Then, i.e. based on implicit automorphy and finite Fourier series. …”
Get full text
Get full text

EEG-Based Person Authentication Modelling Using Incremental Fuzzy-Rough Nearest Neighbour Technique by Liew, Siaw Hong

“…The IncFRNN algorithm updates the training set by employing a heuristic update method to maintain representative objects and eliminate rarely used objects. …”
Get full text
Get full text
Get full text
Get full text

Flood hazard simulation for development plans in urban environment: a case study in Naga City, the Philippines by Abd. Rahman, Muhammad Zulkarnain, Ibrahim, Ab. Latif, Wan Kadir, Wan Hazli, Alkema, Dinand

“…Furthermore, four interpolation methods were used for terrain interpolation, namely Australian National University's Digital Elevation Model algorithm (ANUDEM), Kriging, Polynomial and Triangulated Irregular Network (TIN). …”
Get full text
Get full text
Get full text

Modeling tourism movements and sentiments using spatial analysis based on social media big data by Zhu, Chen

“…Implement natural language processing methods to analyze tourists’ emotions from text data.The methods used in this thesis include web crawler technology, spatial analysis methods and sentiment analysis. …”
Get full text
Get full text
Get full text

Fusion model of unmanned aerial vehicle-based digital elevation model for accuracy improvement mapping by Isola, Ajibola Ismaila

“…The photos were processed using Agisoft algorithm. In the end, seven DEMs were exported in tiff file format. …”
Get full text
Get full text

Iterative Simulation-Based Design of a Multi Input Controller for a Hybrid Renewable Energy System by Abdullahi, Inusa

“…The design applies an algorithm to implement an object-oriented finite-state machines model constructed from Simulink to obtain a multiple-input single-output profile. …”
Get full text
Get full text
Get full text

An automated pipeline for constructing 3D models of monogenean hardparts using machine learning technique for landmarks detection / Teo Bee Guan by Teo , Bee Guan

“…However, the development of 3D models is a tedious procedure as one will have to repeat entire complicated modelling process for every new target 3D shape using a comprehensive 3D modelling software. …”
Get full text
Get full text
Get full text

DurianCare: optimising trunk disease detection and precision farming in a mobile application / Muhammad Haziq Azmi by Azmi, Muhammad Haziq

“…This could include for instance a systematic literature review on theories available to understand the current problem and its possible solution, analysis of the users need gathered from interviews, and of course the application development using Flutter within Visual Studio Code. The application includes advanced features such as automatic disease detection using a CNN model trained on a publicly available dataset, integration into precision farming (where environmental signals are monitored in real time), and content-based filtering for custom-tailored therapy proposals. …”
Get full text
Get full text

Algorithm-program visualization model : An intergrated software visualzation to support novices' programming comprehension by Affandy

“…This model is then to be used in the prototype tool development that is called 3De-ALPROV (Design Development Debug – Algorithm Program Visualization). …”
Get full text
Get full text
Get full text
Get full text

Performance evaluation on quantized weight for convolutional neural network based object detection by Putra, Mohd Hasbullah

“…Three types of scalar quantization are used to quantize the CNN weights namely symmetric uniform quantizer, asymmetric uniform quantizer and non-uniform quantizer designed using k-means algorithm. …”
Get full text
Get full text
Get full text
Get full text

Visualization of dengue incidences using expectation maximization (EM) algorithm by Mathur, N., Asirvadam, V.S., Dass, S.C., Gill, B.S.

“…Along with the prediction modeling on data using centroid model and distribution model based on K-means and Expectation Maximization (EM) algorithms respectively. …”
Get full text
Get full text

Using the line array representation as an alternative method for understanding whole number multiplication among primary students by Chai, Chin Pheng

“…Based on these findings, two implications of this study are (1) pedagogical use of visual representations by teachers and (2) the benefits of using Item-Response Theory (IRT) model by teachers in assessments. …”
Get full text
Get full text
Get full text

Interpretation of machine learning model using medical record visual analytics by Mohd Khalid, Nur Hidayah, Ismail, Amelia Ritahani, Abdul Aziz, Normaziah

“…This paper analyzed several visual analytics ap- proach instantiated in machine learning algorithm for medical record analytics. …”
Get full text
Get full text

Visual and semantic context modeling for scene-centric image annotation by Zand, Mohsen, Doraisamy, Shyamala, Abdul Halin, Alfian, Mustaffa, Mas Rina

“…The sub-visual distributions are discovered through a clustering algorithm, and probabilistically associated with semantic classes using mixture models. …”
Get full text
Get full text
Get full text

VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS. by FAROOQ, HUMERA

“…A tool termed as VIGA-20 (Visualization of Genetic Algorithm using 2-0 Graph) is implemented to accomplish this goal. …”
Get full text
Get full text