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2016 IEEE Ecuador Technical Chapters Meeting, ETCM 2016(1)
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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:scopusAutonomous Service Robotics
Book PartAbstract: Autonomous robotics emerged as a research and development field nearly forty years ago, but only fifPalabras claves:Autores:Auat F., Michelle Viscaíno, Romero J.Fuentes:scopusA fuzzy-based driver assistance system using human cognitive parameters and driving style information
ArticleAbstract: Reducing the number of traffic accidents due to human errors is an urgent need in several countriesPalabras claves:Driver assistance system, fuzzy logic, Human cognition, Human Robot InteractionAutores:Cheein F.A.A., Juan Pablo Vasconez, Leonardo Guevara, Michelle ViscaínoFuentes:scopusApple orchard production estimation using deep learning strategies: A comparison of tracking-by-detection algorithms
ArticleAbstract: The automated detection and counting of fruit in tree canopies is a key component of yield estimatioPalabras claves:Apple counting, Faster R-CNN, multi-object tracking, Tracking-by-detection, Yolov5Autores:Auat-Cheein F., Delpiano J., Juan Villacrés, Michelle Viscaíno, Vougioukas S.Fuentes:scopusArtificial intelligence for the early detection of colorectal cancer: A comprehensive review of its advantages and misconceptions
ReviewAbstract: Colorectal cancer (CRC) was the second-ranked worldwide type of cancer during 2020 due to the crudePalabras claves:Artificial Intelligence, Colorectal cancer, Colorectal polyps, deep learning, Machine learning, Medical imagesAutores:Bustos J.T., Cheein C.A., Cheein F.A.A., Michelle Viscaíno, Muñoz P.Fuentes:scopusMachine learning for computer-aided polyp detection using wavelets and content-based image
Conference ObjectAbstract: The continuous growing of machine learning techniques, their capabilities improvements and the availPalabras claves:Autores:Cheein F.A.A., Michelle ViscaínoFuentes:scopusTwo-wheeled inverted pendulum path planning: An experimental validation
Conference ObjectAbstract: This paper presents experimental results of a two-wheeled inverted pendulum path planning. The modelPalabras claves:Bezier curves, inverted pendulum, Optimal PI, PATH PLANNING, Path smoothing, RRTAutores:Danilo Chavez. Orcid, Juan Villacrés, Marco A. Herrera, Michelle Viscaíno, Oscar E. CamachoFuentes:scopusReal-time implementation of different controllers for a two-wheeled inverted pendulum
ArticleAbstract: This paper presents experimental results of three control strategies to stabilize a two-wheeled invePalabras claves:LQR, Pid, robustness, sliding mode control, trackingAutores:Juan Villacrés, Marco A. Herrera, Michelle Viscaíno, Oscar E. CamachoFuentes:scopus