Výsledky vyhledávání - "Vincent Jan Almero"

Three-Dimensional Stereo Vision Tracking of Multiple Free-Swimming Fish for Low Frame Rate Video

Autor: Jonnel D. Alej, Ronnie Concepcion, Vincent Jan Almero, Raouf N. G. Naguib, Elmer P. Dadios, Maria Gemel B. Palconit, Michael E. Pareja, Argel A. B, rino, Ryan Rhay P. Vicerra, Edwin Sybingco, ala

Publikováno v: Journal of Advanced Computational Intelligence and Intelligent Informatics. 25:639-646

Three-dimensional multiple fish tracking has gained significant research interest in quantifying fish behavior. However, most tracking techniques use a high frame rate, which is currently not viable for real-time tracking applications. This study dis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::98d7e6d296e4de4bd3e93bc6ea64ecb0
https://doi.org/10.20965/jaciii.2021.p0639

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Protocol-Independent Data Acquisition for Precision Farming

Autor: Argel B, Maria Gemel B. Palconit, Ryan Rhay P. Vicerra, Jonnel D. Alej, Vincent Jan Almero, Ronnie Concepcion, Elmer P. Dadios, rino, Edwin Sybingco, ala

Publikováno v: Journal of Advanced Computational Intelligence and Intelligent Informatics. 25:397-403

This paper proposes an optimal design of network and a routing mechanism that is independent from fixed protocols. It provides an optimized route for diversified mesh network, which can support interorganizational communication in a large-scale opera

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3b3b6622b77cb3f4942a1af66e352b71
https://doi.org/10.20965/jaciii.2021.p0397

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Structural Health Fuzzy Classification of Bridge based on Subjective and Objective Inspections

Autor: Ramon Flores, Argel A. Bandala, Elmer P. Dadios, Ronnie Concepcion, Vincent Jan Almero, Justin D. de Guia, Sandy Lauguico, Jonnel Alejandrino

Publikováno v: 2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM).

Bridge structural health monitoring (BSHM) and management system is an aid for systematized logistics and management for bridge assessment and recondition. BSHM is inherently formed by visual, advanced, and non-destructive technical inspections. Opti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d9e47f6eb3baeaa082f4f175ac17aa56
https://doi.org/10.1109/hnicem51456.2020.9400054

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A Hybrid Data Acquisition Model using Artificial Intelligence and IoT Messaging Protocol for Precision Farming

Autor: Elmer P. Dadios, Jonnel Alejandrino, Ronnie Concepcion, Vincent Jan Almero, Argel A. Bandala, Maria Gemel B. Palconit

Publikováno v: 2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM).

The emergence of the Internet-of-Things (IoT) technology had widened the application of the existing technologies we have been using. This paper then uses the IoT technology in the form of wireless sensor network (WSN) specifically designed and devel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::97a4f287acb811f0bc76115832b6b8f7
https://doi.org/10.1109/hnicem51456.2020.9400152

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Lettuce Leaf Water Stress Estimation Based on Thermo-Visible Signatures Using Recurrent Neural Network Optimized by Evolutionary Strategy

Autor: Ronnie Concepcion, Elmer P. Dadios, Sandy Lauguico, Edwin Sybingco, Argel A. Bandala, Vincent Jan Almero

Publikováno v: 2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC).

Crop water stress is avoidable particularly for controlled agriculture. Due to high cost and elaborated laboratory process of measuring crop water consumption, it is not often monitored. However, water stress indicators are needed for water managemen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fcd91cb46b50fba84463b181dae6fa75
https://doi.org/10.1109/r10-htc49770.2020.9356963

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Genetic Algorithm-based Dark Channel Prior Parameters Selection for Single Underwater Image Dehazing

Autor: Ronnie Concepcion, Elmer P. Dadios, Ryan Rhay P. Vicerra, Vincent Jan Almero, Rhen Anjerome Bedruz, Jason L. Espanola, Jonnel Alejandrino, Argel A. Bandala

Publikováno v: TENCON

Dehazing through Dark Channel Prior (DCP), originally developed for land-based images, has translated its potential for improving the quality of underwater images. However, the DCP default parameters, which are just adapted from land-based applicatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8224707c0bd732f3d03a06d7ce152eeb
https://doi.org/10.1109/tencon50793.2020.9293849

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Segmentation of Aquaculture Underwater Scene Images based on SLIC Superpixels Merging-Fast Marching Method Hybrid

Autor: Argel A. Bandala, Jonnel Alejandrino, Vincent Jan Almero, Elmer P. Dadios

Publikováno v: TENCON

Segmentation is a challenging task for the complex and low-quality underwater images, as this is prerequisite to advanced tasks in fish monitoring such as fish detection and classification. A demand exists for underwater image segmentation algorithms

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c0687376fe73c9e7e8ccd456e5bd975c
https://doi.org/10.1109/tencon50793.2020.9293806

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Visual Classification of Lettuce Growth Stage based on Morphological Attributes using Unsupervised Machine Learning models

Autor: Ronnie Concepcion, Elmer P. Dadios, Vincent Jan Almero, Rogelio Ruzcko Tobias, Ramon Flores, Argel A. Bandala, John Carlo V. Puno, Jonnel Alejandrino, Sandy Lauguico

Publikováno v: TENCON

Food shortage is a serious problem facing the world and is prevalent in urban areas. The scarcity of food is mainly caused by crop failure. Environmental factors offered by the rural areas determine the condition of crops to be produced. This scenari

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::939f787528f19ba2dc7d30b80d331386
https://doi.org/10.1109/tencon50793.2020.9293854

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Towards Tracking: Investigation of Genetic Algorithm and LSTM as Fish Trajectory Predictors in Turbid Water

Autor: Elmer P. Dadios, Argel A. Bandala, Edwin Sybingco, Maria Gemel B. Palconit, Ryan Rhay P. Vicerra, Marife A. Rosales, Vincent Jan Almero

Publikováno v: TENCON

Monitoring the dynamics of fish behavior is impactful both in the research for fisheries and aquaculture production. One of the most explored approaches to monitor the fish is tracking-by-detection along with computer vision. Presently, there are sev

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4621201a6f42c36034337a08ad6f3de8
https://doi.org/10.1109/tencon50793.2020.9293730

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An Image Classifier for Underwater Fish Detection using Classification Tree-Artificial Neural Network Hybrid

Autor: Ronnie Concepcion, Elmer P. Dadios, Edwin Sybingco, Vincent Jan Almero

Publikováno v: RIVF

Fish detection using imaging technologies and computer vision systems is considered as an effective tool in fish monitoring for increasing the production to satisfy future global demands. This persistent tasks, with image classification as one of its

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::adba4969147dabae0d10af83aedd00e6
https://doi.org/10.1109/rivf48685.2020.9140795

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