Search Results - (( developing deviation new algorithm ) OR ( java visualization learning algorithm ))

Evaluation of new rotor angle deviation regulator for synchronous generator using nonlinear swing equation by Mohamad Murad, Nor Syaza Farhana

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Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

“…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform by Alias, Norma, Satam, Noriza, Abd. Ghaffar, Zarith Safiza, Darwis, Roziha, Hamzah, Norhafiza, Islam, Md. Rajibul

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An improved leader particle swarm optimisation algorithm for solving flexible ac transmission systems optimisation problem in power system by Jordehi, Ahmad Rezaee

“…The aim of this research is to develop a new PSO variant called improved leader PSO (ILPSO) by addressing the mentioned shortcomings of existing premature convergence mitigation strategies. …”
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i-Saturate: The New Discovery of Stopping Criterion in Genetic Algorithm by Foo, Fong Yeng, Suhaimi, Azrina, Soo, Kum Yoke

“…The searching process would stop when the fitness deviation of the population was small. A model using fittest chromosome repetition was developed to compare the efficiency with i-Saturate. …”
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Mobile application for real time baby sign language recognition using YOLOv8 / Siti Aishah Idris and Ahmad Firdaus Ahmad Fadzil by Idris, Siti Aishah, Ahmad Fadzil, Ahmad Firdaus

“…The model will be designed and developed using a deep learning algorithm, which is YOLOv8, the latest version of YOLO. …”
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Grouper fish feed formulation using enhanced evolutionary algorithm with fibonacci rabbit initialization and binary-standard deviation tournament selection by Soong, Cai Juan

“…The main contribution of this research is the development of feed formulation using Evolutionary Algorithm (EA) with four variations of EA, which are Semi-Random Initialization – Binary Tournament Selection - EA (SR-BT-EA), Fibonacci Rabbit Initialization – Binary Tournament Selection - EA (FR-BT-EA), Semi-Random Initialization - Binary- Standard Deviation Tournament Selection - EA (SR-SD-EA) and Fibonacci Rabbit Initialization - Binary-Standard Deviation Tournament Selection - EA (FR-SD-EA). …”
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Experiment and analysis of computer vision-based wrist radial and ulnar deviation exercises by M. Zabri, Abu Bakar, Rosdiyana, Samad, Pebrianti, Dwi, Mahfuzah, Mustafa, Nor Rul Hasma, Abdullah

“…The researchers have kept on improving the existing methods by creating novel method or developing new algorithms in image processing and artificial intelligence. …”
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Computer vision automation system for sorting partially overlapping tiles by Hussin, Neam Tariq

“…A texture feature extraction algorithm based on (standard deviation of intensities and entropy) were developed and compared in the third component to identify overturned tiles from white tiles. …”
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New robot navigation algorithm for arbitrary unknown dynamic environments based on future prediction and priority behavior by Tang, Sai Hong, Kamil, Farah, Zulkifli, Norzima, Ahmad, Siti Azfanizam, Khaksar, Weria, Moghrabiah, Mohammed Yasser

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Analysis Of Large In-Plane Displacement And Strain In Rubber Using 2-D Scanner-Based Digital Image Correlation by Pang, Goh Ching

“…A new algorithm for mapping large deformation in the uNR specimens in a single-step without the need for a series of deformation images has also been developed. …”
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Study of nature inspired computing (NIC) technique for optimal reactive power dispatch problems by Sulaiman, Mohd Herwan

“…In this research, new nature-inspired meta-heuristic optimization algorithms namely moth-flame optimizer (MFO) and Ant Lion Optimizer (ALO) were implemented to address the optimal reactive power dispatch (ORPD) problems. …”
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Development of rule-based advisory system from modified hazard and operability study on fatty acid fractionation column by M. Yunus, M. Y., Ali, Mohamad Wijayanuddin, Kamsah, Mohd. Zaki

“…A modified Hazard and Operability Study (HAZOP) algorithm has been proposed in order to develop process deviation relationships between two study nodes in HAZOP study. …”
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Flood Routing in River Reaches Using a Three-Parameter Muskingum Model Coupled with an Improved Bat Algorithm by Farzin, Saeed, Singh, Vijay, Karami, Hojat, Farahani, Nazanin, Ehteram, Mohammad, Kisi, Ozgur, Allawi, Mohammed Falah, Mohd, Nuruol Syuhadaa, El-Shafie, Ahmed

“…The present study attempted to develop a three-parameter Muskingum model considering lateral flow for flood routing, coupling with a new optimization algorithm namely, Improved Bat Algorithm (IBA). …”
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Advances in fatigue life modeling: A review by Kamal, Minhas, M. M., Rahman

“…However, the most notable one to be found is the application of evolutionary optimization algorithms for, e.g., genetic algorithms, artificial neural networking, and differential ant-stigmergy algorithms. …”
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Enhanced control algorithms for multilevel inverter-based shunt active power filter by Hoon, Yap

“…Therefore, the main aim of this work is to develop new control algorithms which are capable of improving mitigation and dynamic performances of three-level neutralpoint diode clamped (NPC) inverter-based SAPF. …”
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Development Of Two New Auxiliary Information Control Charts, And Economic And Economic-Statistical Designs Of Several Auxiliary Information Control Charts by Ng Peh, Sang

“…The salient feature of the AI concept has motivated us to develop two new AI charts. The first objective of this thesis is to develop the run sum X - AI (RS X - AI) chart for monitoring the process mean. …”
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Coordinate-Descent Adaptation over Hamiltonian Multi-Agent Networks by Azam Khalili, Vahid Vahidpour, Amir Rastegarnia, Ali Farzamnia, Teo, Kenneth Tze Kin, Saeid Sanei

“…However, in some practical situations, perfect data exchange may not be possible among the nodes. In this paper, we develop a new version of ILMS algorithm, wherein in its adaptation step, only a random subset of the coordinates of update vector is available. …”
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Robust backpropagation neural network using date palm seed growth algorithm for stock market prediction by Tengku Nurul Aimi Balqis, Tengku Malim Busu

“…Additionally, it contributes to the development of robust neural network techniques for financial prediction applications.…”
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LASSO-type estimations for threshold autoregressive and heteroscedastic time series models. by Muhammad Jaffri Mohd Nasir

“…Motivated by an existing work, we propose the adaptive LASSO estimator for simultaneous parameter estimation and terms selection for the pure autoregressive conditional heteroscedasticity (ARCH) model, our third model, with its generalized model form (GARCH). A new algorithm of coordinate gradient descent (CGD) is developed to optimize the adaptive LASSO. …”
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