Search Results - (( evolution optimization svm algorithm ) OR ( dramatic segmentation using algorithm ))

Improved whale optimization algorithm for feature selection in Arabic sentiment analysis by Tubishat, Mohammad, Abushariah, Mohammad A.M., Idris, Norisma, Aljarah, Ibrahim

“…In SA, feature selection phase is an important phase for machine learning classifiers specifically when the datasets used in training is huge. Whale Optimization Algorithm (WOA) is one of the recent metaheuristic optimization algorithm that mimics the whale hunting mechanism. …”
Get full text
Get full text

Time series predictive analysis based on hybridization of meta-heuristic algorithms by Mustaffa, Zuriani, Sulaiman, Mohd Herwan, Rohidin, Dede, Ernawan, Ferda, Kasim, Shahreen

“…The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Differential Evolution (DE) are individually hybridized with a well-known machine learning technique namely Least Squares Support Vector Machines (LS-SVM). …”
Get full text
Get full text

Modified Contrast Limited Adaptive Histogram Equalization for high dynamic range images by Tung, Li Qian

“…The image was then segmented into smaller parts using pixel-region-based image segmentation method. …”
Get full text
Get full text

Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

“…Alan Fan et aI., [2] use Support Vector Machine (SVM) to stock market prediction. The SVM is a training algorithm for learning classification and regression rules from data [7]. …”
Get full text
Get full text

Image segmentation method for boundary detection of breast thermography using random walkers by Moghbel, Mehrdad

“…Nevertheless the proposed method was able to surpass the highest accuracy reported within the literature. Use of interactive segmentation can further enhance these results dramatically as all the standard images that were not segmented correctly by the automatically method were correctly segmented after the utilization of the interactive mode.…”
Get full text
Get full text

Time series predictive analysis based on hybridization of meta-heuristic algorithms by Zuriani, Mustaffa, M. H., Sulaiman, Rohidin, Dede, Ernawan, Ferda, Shahreen, Kasim

“…The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Differential Evolution (DE) are individually hybridized with a well-known machine learning technique namely Least Squares Support Vector Machines (LS-SVM). …”
Get full text
Get full text
Get full text

Framework for stream clustering of trajectories based on temporal micro clustering technique by Abdulrazzaq, Musaab Riyadh

“…The temporal micro cluster data structure is proposed in CC_TRS algorithm to store the summarized information for each group of similar segments. …”
Get full text
Get full text

Stock market turning points rule-based prediction / Lersak Photong … [et al.] by Photong, Lersak, Sukprasert, Anupong, Boonlua, Sutana, Ampant, Pravi

“…Finally, rule-based optimisation techniques such as Particle Swarm Optimization (PSO), Differential Evolution (DE) and Grey Wolf Optimizer (GWO) were used to minimise the amount of time employed in the stock market turning points prediction. …”
Get full text
Get full text

Development of Hybrid Convolutional Neural Network and Radial Basis Function for Autism Spectrum Disorder Classification by Huey Chern, Lim

“…Hence, this study proposed hybrid deep learning algorithms for ASD classification. Two algorithms merged: U-net neural network and Radial Basis Function (RBF) for medical image segmentation. …”
Get full text
Get full text
Get full text
Get full text

Structural crack detection using deep convolutional neural network / Raza Ali by Raza , Ali

Get full text
Get full text
Get full text

Green vehicle traffic routing system using ant-based algorithm by Jabbarpour, M.R., Noor, R.M., Khokhar, R.H.

“…Hence, in this paper, we present a green VTRS that reduces fuel consumption and consequently CO2 emissions via ant-based algorithm combined with fuel consumption model. This VTRS is an Ant-based Vehicle Congestion Avoidance System (AVCAS) that uses Signalized Intersection Design and Research Aid (SIDRA) fuel consumption and emission model in its vehicle routing procedure. …”
Get full text
Get full text

An introduction of two differential excitation potentials technique in electrical capacitance tomography by Elmy Johana, Mohamad, Dr., Ruzairi, Abdul Rahim, Prof. Dr., Leow, Pei Ling, Dr., Mohd Hafiz Fazalul, Rahiman, Dr., Omar Mohd Faizan, Marwah, Nor Muzakkir, Nor Ayob, Herlina, Abdul Rahim, Dr., Fazlul Rahman, Mohd Yunus

Get full text

An introduction of two differential excitation potentials technique in electrical capacitance tomography by Mohamad, E.J., A. Rahim, R., Leow, P.L., Rahiman, M.H. Fazalul, Marwah, O.M.F., Nor Ayob, N.M., A. Rahim, H., Mohd Yunus, F.R.

“…Forward modelling using COMSOL Multiphysics is developed in order to obtain an algorithm to quantify the image reconstruction. …”
Get full text
Get full text
Get full text

An introduction of two differential excitation potentials technique in electrical capacitance tomography by Mohamad, Elmy Johana, Abdul Rahim, Ruzairi, Leow, Pei Ling, Rahiman, Mohd Hafiz Fazalul, Marwah, Omar Mohd Faizan, Nor Ayob, Nor Muzakkir, Rahim, Herlina Abdul, Mohd Yunus, F.R.

“…Forward modelling using COMSOL Multiphysics is developed in order to obtain an algorithm to quantify the image reconstruction. …”
Get full text
Get full text
Get full text

Ant-based vehicle congestion avoidance framework using vehicular networks / Mohammad Reza Jabbarpour Sattari by Sattari, Mohammad Reza Jabbarpour

“…Previous researches concentrated on using static algorithms to find the shortest path in VTRSs. …”
Get full text
Get full text