Search Results - (( developing function based algorithm ) OR ( learning satisfaction using algorithm ))

Design of artificial intelligence-based electronic Malay language learning tool for visually impaired children by Yeoh, Sing Hsia

“…The simulation results indicate that the algorithm is able to suggest a word, based on the design settings. …”
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NLP- based for providing mental health support in mobile application / Muhammad Amirul Roslan by Roslan, Muhammad Amirul

“…Future enhancements, such as advanced machine learning algorithms and user interface improvements, are proposed to further enhance functionality. …”
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Automated bilateral negotiation with incomplete information in the e-marketplace. by Jazayeriy, Hamid

“…To this end, we have developed an incremental learning approach using soft-computing techniques to learn opponent’s preferences in multi-issue negotiation with incomplete information. …”
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A framework of modified adaptive neuro-fuzzy inference engine by Hossen, Md. Jakir

“…The developed TSK type fuzzy inference engine is called modified adaptive fuzzy inference engine (MAFIE) and its parameters were then adjusted by the hybrid learning algorithm using adaptive neural network architecture towards improved performance which is called MANFIE. …”
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Density based subspace clustering: a case study on perception of the required skill by Rahmat Widia, Sembiring

“…In the early stage, the present research estimates density dimensions and the results are used as input data to determine the initial cluster based on density connection, using DBSCAN algorithm. …”
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Density subspace clustering: a case study on perception of the required skill by Sembiring, Rahmat Widia

“…In the early stage, the present research estimates density dimensions and the results are used as input data to determine the initial cluster based on density connection, using DBSCAN algorithm. …”
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Product Recommendation System (Targeted Recommendation using Deep Learning in Computer Vision) by Sharvinteraan, C. Mogan

“…Once the face is successfully recognized, a classifier model is employed to predict the user's age and gender based on the extracted features. The OpenCV library provides the necessary tools for implementing these functionalities. …”
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Examining Social Presence and Online Learning Satisfaction Among Malaysian University Students During the COVID-19 Pandemic by Ho, Meng Chuan, Keoy, Kay Hooi, Tan, Han Leong, Pang, Khong Yun *, Ooi, Pei Boon *, Rohana, Yusof

“…The PLS regression tests showed that social presence was positively associated with online learning satisfaction (β = 0.717, p < 0.01). Additionally, social presence reported a medium level of prediction power towards online learning satisfaction which shed light on the underlying mechanisms that explain students’ online learning satisfaction during the COVID-19 pandemic. …”
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A block cipher based on genetic algorithm by Zakaria, Nur Hafiza

“…In many algorithms which are based on the genetic algorithm approach, diffusion properties using crossover and mutation function are being generated to produce a secure data transmission. …”
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Using genetic algorithm for solving N-Queens problem by Turky A.M., Ahmad M.S.

Optimization of cost-based hybrid flowshop scheduling using teaching-learning-based optimization algorithm by Ullah, Wasif, Muhammad Ammar, Nik Mu’tasim, Mohd Fadzil Faisae, Ab Rashid

“…This paper investigates the optimization of a CHFS problem using the Teaching Learning-Based Optimization (TLBO) algorithm. …”
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Semiparametric inference procedure for the accelarated failure time model with interval-censored data by Karimi, Mostafa

“…The rank-based methods, estimating algorithms, and resampling techniques that are developed do not involve the difficulties of the existing estimating procedures. …”
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A genetic algorithm based approach for economic dispatch in power system / Mohd Rozely Kalil by Kalil, Mohd Rozely

“…The Genetic Algorithm developed in the project was tested on two objective functions for optimizing the economic dispatch problem, which are the total generation cost and the incremental cost function. …”
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Computation of cryptosystem based on Lucas functions using addition chain by Md Ali, Zulkarnain, Othman, Mohamed, Md. Said, Mohamad Rushdan, Sulaiman, Md. Nasir

“…In this paper, an efficient computation algorithm for LUC Cryptosystem is developed. It is based on Addition Chain. …”
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A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy by Qing, Zhang, Abdullah, Abdul Rashid, Choo, Wei Chong, Ali, Mass Hareeza

“…These basic indicators can comprehensively and effectively reflect a country’s or region’s future economic development. The center of radial basis function neural network and smoothing factor to take a uniform distribution of the random radial basis function artificial neural network will be the focus of this study. …”
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Towards real-time customer satisfaction prediction model for mobile internet networks by Yusuf-Asaju, Ayisat W., Dahalin, Zulkhairi, Ta'a, Azman

“…To this end, the implementation phase has employed machine learning algorithms in the Microsoft Machine Learning R client Server. …”
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A Reference Based Surface Defect Segmentation Algorithm For Automatic Optical Inspection System by Wong, Ze-Hao

“…Finally, surface defects are segmented from an anomaly heat map which is generated based on histogram distance functions. Results show that the proposed algorithm required a learning dataset size as small as 5 samples and was resistant to learning labelling error up to 50%.…”
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Designing New Block Cipher Based On Genetic Algorithm Approach by Nur Hafiza Binti Zakaria, Ramlan Mahmod, Nur Izura Udzir, Zuriati Ahmad Zukarnain, Suriyani Ariffin

Development of obstacle avoidance technique in web-based geographic information system for traffic management using open source software by Nik Yusoff, Nik Mohd Ramli, Mohd Shafri, Helmi Zulhaidi, Muniandy, Ratnasamy, Mohammad Wali, Islam

“…By implementing this function, it enhances the Dijkstra algorithm ability in network analysis. …”
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What stole Chinese older adults’ life satisfaction? Integrating medical statistics and machine learning with a life-course perspective using CHARLS data by Zhao, Jing, Wang, Yaya, Du, Xiao Fei, Wang, Shao Peng, Lin, Jun

“…Generalized Ordered Logit Regression (GOLR) was combined with the XGBoost machine learning algorithm to capture both linear and nonlinear associations, as well as perform individual-level prediction of life satisfaction. …”
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