Search Results - (( model validation study algorithm ) OR ( _ preservation based algorithm ))

Sketch-based 3D modeling of symmetric objects from wireframe sketches on paper by Yahya, Zahrah

“…The motivation of this work originates from recent studies on sketch-based modeling that emphasize on the reliance of the designers on traditional methods for conveying their ideas. …”
Get full text
Get full text

Improved Manta Ray Foraging Optimizer-based SVM for Feature Selection Problems: A Medical Case Study by Got, Adel, Zouache, Djaafar, Moussaoui, Abdelouahab, Laith, Abualigah *, Alsayat, Ahmed

“…The proposed approach is validated and compared with four SVM-based algorithms over eight benchmarking datasets. …”
Get full text
Get full text

Multi-objective genetic algorithm driven formulation of a plant-based probiotic premix powder: Nutrient-cost modeling, microstructural characterization and sensory validation by Tang, Ping, Cui, Ming Yang, Mohsin, Aliah Zannierah, Meor Hussin, Anis Shobirin, Juhari, Nurul Hanisah

“…This study presents a multi-objective genetic algorithm (NSGA-II) driven framework for the rational formulation of a plant-based probiotic premix powder under simultaneous nutritional and economic constraints. …”
Get full text
Get full text
Get full text

Performance Improvement of Multiobjective Optimal Power Flow-Based Renewable Energy Sources Using Intelligent Algorithm by Huy, T.H.B., Nguyen, T.P., Mohd Nor, N., Elamvazuthi, I., Ibrahim, T., Vo, D.N.

“…The integration of RES adds complexity to the optimal power flow problem due to intermittence and uncertainty. The study suggests a Multi-Objective Search Group Algorithm (MOSGA) to deal with multi-objective optimal power flow integrated with a stochastic wind and solar powers (MOOPF-WS) problem. …”
Get full text
Get full text

On-orbit spatial image characterisation and restoration based on stochastic characteristic targets / Wong Soo Mee by Wong , Soo Mee

“…Finally, it introduces a spatial prior that can simultaneously suppress noises while preserving the sparsity and continuity of data to obtain high fidelity two-dimensional PSF model for MTF measurement. …”
Get full text
Get full text
Get full text

Optimization of assembly line balancing with energy efficiency by using tiki-taka algorithm by Ariff Nijay, Ramli

“…Lastly, a study of the industrial case was performed as a validation of the developed model and algorithm. …”
Get full text
Get full text

Global-Local Partial Least Squares Discriminant Analysis And Its Extension In Reproducing Kernel Hilbert Space by Muhammad, Aminu

“…Two novel subspace learning algorithms called locality preserving partial least squares discriminant analysis (LPPLS-DA) and neighborhood preserving partial least squares discriminant analysis (NPPLS-DA) which are based on the GLSP framework are proposed for discriminant subspace learning. …”
Get full text
Get full text

Filling and restoration of cracked digitized paintings based on preserved neighbourhood pixels by Farajalla Ali, Nawafil Abdulwahab, Alshaikhli, Imad Fakhri Taha

Get full text
Get full text
Get full text

Numerical assessment of the wake flow mechanism of spanwise expansion interference behind spire by smooth wall boundary turbulence by Muhammad Arifuddin, Fitriady

“…Some enhancement, preservation and recovery of velocity deficit can be observed in the far wake region based on the CFD result. …”
Get full text
Get full text

Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score by Mirza Rizwan, Sajid

“…However, the conversion of a complex form of ML algorithms into a simple statistical model is the prime concern. …”
Get full text
Get full text

An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving by Jing, Rui Tang, Mat Isa, Nor Ashidi

“…This paper modifies the Adaptive Contrast Enhancement Algorithm with Details Preserving (ACEDP) technique by integrating a fuzzy element in the image type selection. …”
Get full text
Get full text
Get full text

Landslide susceptibility mapping at VAZ watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF)... by Pradhan, Biswajeet, Mohammad Zare, Pourghasemi, Hamid Reza, Vafakhah, Mahdi

“…Finally the landslide susceptibility maps were validated using the validation data (i.e., 30 % landslide location data that was not used during the model construction) using area under the curve (AUC) method. …”
Get full text
Get full text

Disparity Map Algorithm Based On Edge Preserving Filter For Stereo Video Processing by Hamzah, Rostam Affendi, Abd Gani, Shamsul Fakhar, Hamid, Mohd Saad, Kadmin, Ahmad Fauzan, Salam, Saifullah

Get full text
Get full text
Get full text
Get full text

Energy and cost integration model for multi-objective optimisation in turning process of stainless steel 316 by Bagaber, Salem Salah Abdullah

“…Dry machining is a sustainable solution that reduces both energy consumption and machining cost. This study aims to optimize an integrated mathematical model for both energy and cost in the turning process of stainless steel 316 (SS316). …”
Get full text
Get full text

Elitism Based Migrating Birds Optimization Algorithm for Optimization Testing by Hasneeza, L. Zakaria, Kamal Z., Zamli

“…This proposed strategy is the first to utilize population based metaheuristic algorithm i.e. MBO with elitism for solving CIT problem. …”
Get full text
Get full text

A deep reinforcement learning hybrid algorithm for the computational discovery and characterization of small proteins utilizing mycobacterium tuberculosis as a model by Ouwabunmi, Babalola AbdulHafeez

“…While the focus was on comparing standalone and hybrid models, the study identifies opportunities for future benchmarking against external tools to further validate its contributions. …”
Get full text
Get full text

Dynamic modelling of a flexible beam structure using feedforward neural networks for active vibration control by Tuan Abdul Rahman, Tuan Ahmad Zahidi, As'arry, Azizan, Abdul Jalil, Nawal Aswan, Raja Ahmad, Raja Mohd Kamil

“…The performance of modified SFS algorithm to train a nonlinear auto-regressive exogenous model (NARX) structure FNNs-based model of the system was then compared with its predecessor and with several well-known metaheuristic algorithms. …”
Get full text
Get full text
Get full text

Model structure selection for a discrete-time non-linear system using genetic algorithm by Ahmad, Robiah, Jamaluddin , Hishamuddin, Hussain, Mohd. Azlan

“…The results show that the proposed algorithm can be employed as an algorithm to select the structure of the proposed model.…”
Get full text
Get full text
Get full text

Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms by Raheem, Ajiboye Adeleke, Hauwau, Isah-Kebbe, O., Oladele Tinuke

“…This study explores the performance accuracies of partitioning-based algorithms and probabilistic model-based algorithm. …”
Get full text
Get full text
Get full text

Model structure selection for a discrete-time non-linear system using a genetic algorithm by Ahmad, R., Jamaluddin, H., Hussain, M. A.

“…The results show that the proposed algorithm can be employed as an algorithm to select the structure of the proposed model.…”
Get full text
Get full text