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Color 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: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:scopusAnalyzing the Capabilities of Electric Field Energy Harvesting Using Natural Leaves
ArticleAbstract: Electric field energy harvesters (EFEHs) are reliable and sustainable power sources that may be usedPalabras claves:Capacitance transducers, Electromagnetic coupling, Electromagnetic induction, energy harvesting, Home area networkAutores:Cheein F.A.A., Juan Villacrés, Menendez O., Robert Guamán RiveraFuentes:scopus3D Printing Deformation Estimation Using Artificial Vision Strategies for Smart-Construction
Conference ObjectAbstract: Additive manufacturing is a disruptive technology that enables the efficient construction of lighterPalabras claves:additive manufacturing, Artificial Intelligence, prefabricated construction, Robot vision systemsAutores:Cheein F.A.A., Juan Villacrés, Menendez O., Robert Guamán RiveraFuentes: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: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:scopusAdaptive nonlinear MPC for efficient trajectory tracking applied to autonomous mining skid-steer mobile robots
Conference ObjectAbstract: The heterogeneous nature of the navigation surface suggests adaptation capabilities in vehicle motioPalabras claves:Nonlinear model pbkp_redictive control, Nonlinear Moving Horizon Estimation, Real-Time Iteration, Wheel-Terrain InteractionAutores:Alvaro Javier Prado, Cheein F.A.A., Danilo Chavez. Orcid, Oscar E. Camacho, Torres-Torriti M.Fuentes:googlescopusAgricultural service unit motion planning under harvesting scheduling and terrain constraints
ArticleAbstract: Most of the existing harvesting strategies rely on traditional path planners that only minimize thePalabras claves:Agriculture, planning, wheeled robotsAutores:Álvaro Javier Prado, Calabi D., Cheein F.A.A., Hopfenblatt N., Torres-Torriti M.Fuentes:scopus