Titlebook: Systems and Information Sciences; Proceedings of ICCIS Miguel Botto-Tobar,Willian Zamora,Alex Santamaría Conference proceedings 2021 The E

arabesque

Aphids Detection on Lemons Leaf Image Using Convolutional Neural Networks the quality of the agricultural products and it should be automated to avoid inconsistent and slow detection typical of human inspection. In this study, we propose an automated approach for the detection of aphids on lemon leaves by using convolutional neural networks (CNNs). We boarded it as a bin

愉快吗

神圣在玷污

荨麻

FLAX

Physical Activity Classification Using an Artificial Neural Networks Based on the Analysis of Anthrouate methods and tools that can help people maintain an exercise routine, such as portable devices that can track the movements of the user and provide an appropriate feedback. Interest has also emerged in assessing the discrimination between physically active and inactive persons through the use of

obstinate

Analysis of Receiver Operating Characteristic Curve Using Anthropometric Measurements for Obesity Dicontributes substantially the costs to society. Obesity can be diagnosed with body mass index (BMI). According to the World Health Organization, the diagnosis of overweight is made with a . 25 Kg/m., and obesity with a . 30 kg/m.. The diagnosis of obesity has been made using the abdominal circumfere

舰旗

Using Low-Frequency EEG Signals to Classify Movement Stages in Grab-and-Lift Tasksons, and provide rehabilitation processes to patients with neuromotor impairment. A wide variety of invasive and non-invasive methods has been studied to control BCI systems, especially with electroencephalography (EEG) signals. However, despite numerous studies in this field, much work remains to b

拾落穗

emission

Implementation of Recognition System of People and Computers in a Classroom Through Artificial VisioThis system uses artificial intelligent, artificial vision and deep learning technics to process images, sent by a camera that was previously installed in the class. The information is processed through a YOLO-type convolutional neural network, which is open source and is already trained and validat

adhesive

Development of an Algorithm Capable of Classifying the Starting, Gear Change and Engine Brake Variabh as: starting, changing gear and engine braking during a road test. The data of this study were acquired through the OBD-II connector of a vehicle, by means of a data logger device capable of collecting the information and writing it to a data file. Later the data is post processed in MATLAB. using