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Conference Object(8)
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38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017(5)
HNICEM 2017 - 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management(2)
IEEE Region 10 Annual International Conference, Proceedings/TENCON(1)
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Ciencias de la computación(4)
Física aplicada(3)
Métodos informáticos especiales(2)
Agricultura y tecnologías afines(1)
Caza, pesca y conservación(1)
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Hidrología(3)
Aprendizaje automático(2)
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Origen
scopus(8)
Biodiversity sustainability using telemetry for the remote transmission of data from Lake Buhi, Camarines sur
Conference ObjectAbstract: The biodiversity remediation strategies currently used at Lake Buhi, Camarines Sur shows that new tePalabras claves:Carbon dioxide, Comparative evaluation, dissolved oxygen, fish kill, Ph, telemetryAutores:Garcia R.G., Jennifer C. Dela Cruz, Ojeda C.M.Fuentes:scopusA one-against-all extraction of Cocos nucifera at individual tree crown level via support vector machine classification using LiDAR data
Conference ObjectAbstract: Philippines is the second largest producer of Cocos nucifera, also known as coconut, in the world, wPalabras claves:Cocos nucifera, Individual Tree Crown, Lidar, Object Based Image Analysis, Support Vector MachineAutores:Ballado A.H., Bentir S.A.P., Caluyo F.S., Garcia R.G., Jennifer C. Dela Cruz, Magwili G.V., Sarte S.M.Fuentes:scopusPhilippine hydrological dataset mapping in batangas province using lidar data and distance validation using laser range finder
Conference ObjectAbstract: The Philippines experiences at least 20 typhoons that causes flood to cities every year. Areas nearPalabras claves:Gizduino, Laser range finder, Lidar, Mapping hydrological datasetAutores:Balaguer C.N., Ballado A.H., Bentir S.A.P., Enriquez J.M.P., Garcia R.G., Jennifer C. Dela Cruz, Magwili G.V., Pinalas C.P.Y., Ruiz G.R.R.M., Sarte S.M.Fuentes:scopusUtilizing decision tree-based thresholds in reconstructing training datasets for single-classification binary support vector machine problem from point cloud data
Conference ObjectAbstract: In some cases of agricultural features extraction, the binary Support Vector Machine (SVM) classificPalabras claves:Canopy height model, Cocos nucifera, decision tree, Lidar, Support Vector MachineAutores:Ballado A.H., Bentir S.A.P., Caluyo F.S., Garcia R.G., Jennifer C. Dela Cruz, Magwili G.V., Sarte S.M.Fuentes:scopusUtilizing light detection and ranging technology for watershed delineation and mapping of Philippine hydrologic datasets in quezon with depth validation using utrasoonic sensor and mobile application
Conference ObjectAbstract: Addressing the problems arising from poor flood management and water budgeting, as well as from thePalabras claves:Depth finder sensor, Lidar, Mapping hydrological datasetAutores:Alarcon M.R., Ballado A.H., Bentir S.A.P., Buenaventura J.E., Castrence L.A., Garcia R.G., Jennifer C. Dela Cruz, Magwili G.V., Ortega D.J., Sarte S.M.Fuentes:scopusWireless sensor nodes for flood forecasting using artificial neural network
Conference ObjectAbstract: The Pampanga River is considered as the fourth largest river basin in the Philippines. The lower basPalabras claves:ANN, flood forecasting, Levenberg-Marquardt, non linear autoregressive network, wireless sensor nodesAutores:Garcia R.G., Jennifer C. Dela Cruz, Sahagun M.A.M.Fuentes:scopusQuantifying blood glucose level using S11 parameters
Conference ObjectAbstract: This paper presented a method of quantifying blood glucose level using pocket vector network analyzePalabras claves:admittance, Blood glucose, Impedance, non-invasive, quantifying, S-parameters, scatteringAutores:Cordero C.J., Garcia R.G., Jennifer C. Dela Cruz, Landicho L.C.L.Fuentes:scopusResource mapping of high value crops in cavite and development of the algorithm for detecting coconut, sugarcane, and rice using lidar data
Conference ObjectAbstract: Included as the most high value crops in the world. The demand for the production of crops is also rPalabras claves:Lidar, Object-based classification, Resource mapping, Support Vector MachineAutores:Ballado A.H., Barrientos L.A.C., Bentir S.A.P., Catenza L.M.U., Garcia R.G., Jennifer C. Dela Cruz, Magwili G.V., Redula R.G.E., Sarte S.M., Timajo Z.A.C.Fuentes:scopus