Search Results - optical ((((cloud algorithm) OR (mining algorithm))) OR (((tree algorithm) OR (bat algorithm))))

Combining data mining algorithm and object-based image analysis for detailed urban mapping of hyperspectral images by Hamedianfar, Alireza, Mohd Shafri, Helmi Zulhaidi, Mansor, Shattri, Ahmad, Noordin

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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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Integrated approach using data mining-based decision tree and object-based image analysis for high-resolution urban mapping of WorldView-2 satellite sensor data by Hamedianfar, Alireza, Mohd Shafri, Helmi Zulhaidi

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Comparison of fusion of different algorithms in mapping of Melaleuca forest in Marang district, Malaysia by Saberioon, Mohammadmehdi, Mardan, Makhdzir, Nordin, Laili, Mohd Sood, Alias

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The Parallel Fuzzy C-Median Clustering Algorithm Using Spark for the Big Data by Mallik, Moksud Alam, Zulkurnain, Nurul Fariza, Siddiqui, Sumrana, Sarkar, Rashel

“…A comparative study is done to validate the proposed algorithm by implementing the other contemporary algorithms for the same dataset. …”
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Automatic extraction of digital terrain model and Building Footprint from airborne LiDAR data using rule-based learning techniques by Jifroudi, Hamidreza Maskani

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3D Point Cloud Data Registration Algorithm Based on Augmented Reality Technology by Liying Feng, Ng Giap Weng, Liyao Ma

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Accounting Information Systems Genetic Algorithms for All-Optical Shared Fiber-Delay-Line Packet Switches by Liew, S.Y., Wong, E.S.K.

“…In the first algorithm, packet scheduling is formulated as a tree-searching problem. …”
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Near-sea-level langley calibration algorithm by Jedol Dayou, Chang, Jackson Hian Wui, Justin Sentian

“…The key advantages of the proposed algorithm are its objectivity, computational efficiency and the ability to detect short intervals of cloud transits. …”
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Optimized techniques for landslide detection and characteristics using LiDAR data by Mezaal, Mustafa Ridha

“…The locations of landslides were detected accurately by employing two Machine learning classifiers, namely, SVM and RF, decision rule and hierarchal rules sets were developed by applying decision tree (DT) algorithm to provide improved landslide inventory. …”
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Retrieval Of Environmental Parameters Over Water Areas Using MODIS Data by Amin, Abd Rahman Mat

“…In this study, new and simple algorithms to retrieve cirrus cloud, sediment and aerosol optical depth (AOD) from Moderate Resolution Radiospectrometer (MODIS) imagery is suggested and demonstrated. …”
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Seeing trees from space: above-ground biomass estimates of intact and degraded montane rainforests from high-resolution optical imagery by Phua, Mui How, Ling, Zia-Yiing, David Anthony Coomes, Wilson Wong, Alexius Korom, Satoshi Tsuyuki, Keiko Ioki, Yasumasa Hirata, Hideki Saito, Gen Takao

“…We used the dimensions of tree crowns detected in the imagery to estimate above-ground biomasses (AGBs) of individual trees and plots. …”
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QoS Forwarding on the Optical Internet Backbone Area Using R-IWDMTC Protocol by Addie Irawan, Hashim, R. Badlishah, Ahmad

“…(Extended via Multi-protocol Label Switching (MPLS)) provides connection-oriented setup and multicast tree construction control for Optical Internet data forwarding in the network backbone area. …”
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Feature Extraction and Matching from images / lntan Syaherra Ramli by Ramli, lntan Syaherra

“…Next, the feature points from two images are matched using Optical Flow Lucas Kanade. The corresponding feature points are used to find the 30 point cloud for computer graphic application. …”
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The analysis of tropospheric aerosol concentration and distribution using NOAA AVHRR by Wan Kadir, Wan Hazli, Ibrahim, Ab. Latif, Rasib, Abdul Wahid, Mohd. Hassan, Aida Hayati, Zaini, Zawatil Azhani

“…The results suggests that the application of DTA algorithm on NOAA AVHRR imagery whenever available and cloud free could be used as an indicator to air quality assessment for this region.…”
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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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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). …”

A refined classification approach by integrating Landsat Operational Land Imager (OLI) and RADARSAT-2 imagery for land-use and land-cover mapping in a tropical area by Sameen, Maher Ibrahim, Nahhas, Faten Hamed, Buraihi, Faez Hussein, Pradhan, Biswajeet, Mohamed Shariff, Abdul Rashid

“…Producing accurate land-use and land-cover (LULC) mapping is a long-standing challenge using solely optical remote-sensing data, especially in tropical regions due to the presence of clouds. …”
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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. …”

Development of personal finance mobile application with Optical Character Recognition (OCR) technology for automated receipt management and expense tracking by Tan, Su Hua

“…OCR is the short form for Optical Character Recognition. It is a technology that was powered by Machine Learning algorithms like Convolutional Neural Networks (CNN) whereby it allows extraction of text from images or documents in a blink of eye. …”
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