Search Results - optical ((svm algorithm) OR (((bees algorithm) OR (((bat algorithm) OR (based algorithm))))))*

Comparative analysis on the deployment of machine learning algorithms in the distributed brillouin optical time domain analysis (BOTDA) fiber sensor by Nordin N.D., Zan M.S.D., Abdullah F.

“…The algorithms analyzed were generalized linear model (GLM), deep learning (DL), random forest (RF), gradient boosted trees (GBT), and support vector machine (SVM). …”

Assessing Bat Roosts Using the LiDAR System at Wind Cave Nature Reserve in Sarawak, Malaysian Borneo by Nursyafiqah, Shazali, Teong, Han Chew, Mohd Shahir, Shamsir, Roberta Chaya, Tawie Tingga, Mohd Ridwan, Abd Rahman, Faisal Ali, Anwarali Khan

“…Roost surface area of bats species was calculated based on point clouds extracted and using simple trigonometry. …”
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LSB algorithm based on support vector machine in digital image steganography by Hussain, Hanizan Shaker, Din, Roshidi, Mustapha, Aida, Mansor, Fawwaz Zamir

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Translating conventional wisdom on chicken comb color into automated monitoring of disease-infected chicken using chromaticity-based machine learning models by Bakar M.A.A.A., Ker P.J., Tang S.G.H., Baharuddin M.Z., Lee H.J., Omar A.R.

“…The development of the algorithms shows that Logistic Regression, SVM with Linear and Polynomial kernels performed the best with 95% accuracy, followed by SVM-RBF kernel, and KNN with 93% accuracy, Decision Tree with 90% accuracy, and lastly, SVM-Sigmoidal kernel with 83% accuracy. …”

Gesture recognition system for Nigerian tribal greeting postures using support vector machine / Segun Aina …[et al.] by Aina, Segun, V. Sholesi, Kofoworola, R. Lawal, Aderonke, D. Okegbile, Samuel, I. Oluwaranti, Adeniran

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Translating conventional wisdom on chicken comb color into automated monitoring of disease-infected chicken using chromaticity-based machine learning models by Bakar, Mohd Anif A. A., Ker, Pin Jern, Tang, Shirley G. H., Baharuddin, Mohd Zafri, Lee, Hui Jing, Omar, Abdul Rahman

“…The development of the algorithms shows that Logistic Regression, SVM with Linear and Polynomial kernels performed the best with 95 accuracy, followed by SVM-RBF kernel, and KNN with 93 accuracy, Decision Tree with 90 accuracy, and lastly, SVM-Sigmoidal kernel with 83 accuracy. …”
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Optimized techniques for landslide detection and characteristics using LiDAR data by Mezaal, Mustafa Ridha

“…The overall accuracy of the Support Vector Machine SVM and Random Forest RF classifiers revealed that three of the six algorithms exhibited higher ranks in the landslide detection. …”
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A preliminary lightweight random forest approach-based image classification for plant disease detection by Mashitah Ibrahim, Muzaffar Hamzah, Mohammad Fadhli Asli

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Detection of vegetation encroachment in power transmission line corridor from satellite imagery using support vector machine: A features analysis approach by Mahdi Elsiddig Haroun F., Mohamed Deros S.N., Bin Baharuddin M.Z., Md Din N.

“…Color; Electric lines; Electric power transmission; Optical radar; Satellite imagery; Space-based radar; Synthetic aperture radar; Transmissions; Vector spaces; Vegetation; Classification accuracy; Environmental challenges; Gray level co occurrence matrix(GLCM); Light detection and ranging; Power interruptions; Statistical moments; Support vector machine algorithm; Vegetation density; Support vector machines…”

Simultaneous measurement of multiple soil properties through proximal sensor data fusion: a case study by Wenjun, Ji, Adamchuk, Viacheslav I., Song, Chao Chen, Mat Su, Ahmad S., Ismail, Ashraf, Qianjun, Gan, Zhou, Shi, Biswas, Asim

“…After choosing the optimal sensor combination for each soil property, the predictive capability was compared using different data mining algorithms, including support vector machines (SVM), random forest (RF), multivariate adaptive regression splines (MARS), and regression trees (CART). …”
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Crosstalk-Free Scheduling Algorithms for Routing in Optical Multistage Interconnection Networks by Raja Mohd Auzar, Tengku Dian Shahida

“…To solve optical crosstalk, many scheduling algorithms have been proposed for routing in OMIN based on a solution called the time domain approach, which divides the N optical inputs into several groups such that crosstalk-free connections can be established. …”
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Spectral feature selection and classification of roofing materials using field spectroscopy data by Samsudin, Sarah Hanim, M. Shafri, Helmi Z., Hamedianfar, Alireza, Mansor, Shattri

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New dynamic bandwidth allocation algorithm based fuzzy-logic for ethernet PON by Radzi N.A.Mohd., Din N.Md., Mustafa I.S., Sadon S.Kh., Al-Mansoori M.H.

“…We proposed a fuzzy-logic-based dynamic bandwidth allocation (FLDBA) algorithm for upstream Ethernet passive optical network (EPON). …”

Fast zerox algorithm for routing in optical multistage interconnection networks. by T.D. , Shahida, Othman, Mohamed, Abdullah, M. Khazani

“…Based on the ZeroX algorithm, a fast and efficient crosstalk-free time- domain algorithm called the Fast ZeroX or shortly FastZ_X algorithm is proposed for solving optical crosstalk problem in optical Omega multistage interconnection networks. …”
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Bitwise-based Routing Algorithms in Optical Multistage Interconnection Network by Abed, Farzaneh

“…Finally Four Heuristic and Difference Increasing and Decreasing routing algorithms based on bitwise operation are established. …”
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Efficient dynamic bandwidth allocation algorithm for upstream EPON by Radzi N.A.M., Din N.M., Al-Mansoori M.H., Mustafa I.S., Sadon S.K.

“…In this paper, an efficient dynamic bandwidth allocation (DBA) algorithm based fuzzy logic for upstream Ethernet passive optical networks (EPON) is proposed. …”

Design Of A Predictive Model For TCM Pulse Diagnosis In Malaysia Using Machine Learning by Ong, Jia Ying

“…The machine learning algorithms applied in this project are k-nearest neighbors (KNN), naïve Bayes, random forest, gradient boosting and support vector machine (SVM). …”
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A fast and efficient crosstalk-free algorithm for routing in optical multistage interconnection networks by Raja Mohd Auzar, Tengku Dian Shahida, Othman, Mohamed, Abdullah, Mohamad Khazani

“…The new Fast ZeroXY algorithm is designed based on the Zero algorithms, which uses the time dilation approach to eliminate the negative effect of crosstalk associated with optical switching in the optical Omega network. …”
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Calibration of optical based silicone tactile sensor based on image deformation technique / Abdul Halim Esa by Esa, Abdul Halim

“…The overall research objective is to develop a computer algorithm for real-time sensorization for optical sensor characterization. …”
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The Half-t adaptive error correction algorithm for SDH-based WDM optical networks by Cheah, Cheng Lai, Abdullah, Mohamad Khazani

“…This paper proposes an adaptive forward error correction (FEC) algorithm, referred to as the Half-t algorithm for synchronous digital hierarchy (SDH) based wavelength division multiplexing (WDM) optical networks. …”
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