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Computers and Electronics in Agriculture(2)
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2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018(1)
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scopus(13)
Cluster-based scan registration for vehicle localization in urban environments
Conference ObjectAbstract: Scan registration can estimate the pose of the vehicle based on information acquired by range sensorPalabras claves:autonomous vehicles, Error estimation, mobile robot sensing, robot localizationAutores:Cheein F.A.A., Javier GuevaraFuentes:scopusColor Dependence Analysis in a CNN-Based Computer-Aided Diagnosis System for Middle and External Ear Diseases
ArticleAbstract: Artificial intelligence-assisted otologic diagnosis has been of growing interest in the sci-entificPalabras claves:Artificial Intelligence, Convolutional neural network, deep learning, middle and external ear, otologyAutores:Cheein C.A., Cheein F.A.A., Delano P.H., Henríquez P., Maass J.C., Michelle Viscaíno, Talamilla M.Fuentes:scopusComparison of convolutional neural networks in fruit detection and counting: A comprehensive evaluation
ArticleAbstract: Knowing beforehand the amount of fruit to be harvested leads to better logistics and decisions makinPalabras claves:Faster R-CNN, Fruit counting, multi-object tracking, PRECISION AGRICULTURE, Single shot multibox detectorAutores:Cheein F.A.A., Delpiano J., Juan Pablo Vasconez, Vougioukas S.Fuentes:scopusComputer-Aided Ear Diagnosis System Based on CNN-LSTM Hybrid Learning Framework for Video Otoscopy Examination
ArticleAbstract: Ear disorders are among the most common diseases treated in primary care, with a high percentage ofPalabras claves:Computer-aided diagnosis, Convolutional neural network, deep learning, ear diseases, LSTM, otolaryngology, Transfer learningAutores:Cheein F.A.A., Delano P.H., Maass J.C., Michelle ViscaínoFuentes:scopusComputer-aided diagnosis of external and middle ear conditions: A machine learning approach
ArticleAbstract: In medicine, a misdiagnosis or the absence of specialists can affect the patient’s health, leading tPalabras claves:Autores:Cheein F.A.A., Delano P.H., Maass J.C., Michelle Viscaíno, Stott C., Torrente M.Fuentes:scopus3D Spectral Graph Wavelet Point Signatures in Pre-Processing Stage for Mobile Laser Scanning Point Cloud Registration in Unstructured Orchard Environments
ArticleAbstract: The use of three-dimensional registration techniques is an important component for sensor-based locaPalabras claves:3D point cloud registration, filtering algorithms, robot localization, Spectral AnalysisAutores:Cheein F.A.A., Gené-Mola J., Gregorio E., Javier GuevaraFuentes:scopusA methodology for semantic action recognition based on pose and human-object interaction in avocado harvesting processes
ArticleAbstract: The agricultural industry could greatly benefit from an intelligent system capable of supporting fiePalabras claves:Avocado harvesting process, Human-object interaction, Human–machine collaboration, Semantic human action recognitionAutores:Admoni H., Cheein F.A.A., Juan Pablo VasconezFuentes:scopusDetection and characterization of cherries: A deep learning usability case study in Chile
ArticleAbstract: Chile is one of the main exporters of sweet cherries in the world and one of the few in the southernPalabras claves:Cherry detection, Faster R-CNN, Fruit characterizationAutores:Cheein F.A.A., Juan VillacrésFuentes:scopusConditional Random Field Features and Structure Assessment for Digital Terrain Modeling
ArticleAbstract: The conditional random field is a suitable framework for contextual classification of two-dimensionaPalabras claves:Conditional random field, graph structure, ground filtering, Machine learningAutores:Cheein F.A.A., Tito Arevalo-RamirezFuentes:scopusFinding a Proper Approach to Obtain Cognitive Parameters from Human Faces under Illumination Variations
Conference ObjectAbstract: Extract and recognize face features can become a difficult problem, especially in environments withPalabras claves:Autores:Cheein F.A.A., Juan Pablo VasconezFuentes:scopus