Examinando por Autor "Miryam Cosme"
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Publicación Sólo datos Application of neural networks in the teacher selection process(2023-01-31) Christian Ovalle; Wilver Auccahuasi; Sandra Meza; Karin Franklin-Cordova-Buiza; Miryam Rojas; Miryam Cosme; Gabriel Inciso-Rojas; Hernando Martin Campos Aiquipa; Alfonso Martínez; Aly FuentesThe information and communications technologies are revolutionizing the classic ways of carrying out the processes, in particular, for the teacher selection processes we have the classic form of evaluation, according to the criteria of each educational institution, in the present work it is presented a teacher selection model, using neural networks, using 3 criteria and 23 characteristics, which are entered into individual networks for each criterion and additionally a network for the final classification, is presented based on a prototype, an application developed with the computational tool Matlab, which is described in detail for its application and scaling, for purposes of measuring the performance of the network, evaluations were carried out with a group of 30 candidates, grouped into two groups, a group of 15 candidates with positive conditions complying with the policies of the educational institution and a second group with candidates who do not meet the policies of the educational institution, with which sensitivity values of 93% and a specificity level of 86% were obtained, we conclude that the model presented can be replicated and conditioned to the needs and policies of each educational institution.Publicación Sólo datos Muscle temperature analysis, using thermal imaging, applied to the treatment of muscle recovery(2023-01-31) Christian Ovalle; Wilver Auccahuasi; Sandra Meza; Karin Franklin-Cordova-Buiza; Miryam Rojas; Miryam Cosme; Gabriel Inciso-Rojas; Hernando Martin Campos Aiquipa; Alfonso Martínez; Aly FuentesThe images help in the different processes where a visual interpretation of a scene is required, in this sense we find many applications where images are used to analyze, interpret and classify certain objects within the image, there are different types of images generated by different sensors, in this paper describes a method to analyze the behavior of the muscle, mainly of the knee, when performing rehabilitation exercises, coupled with an optical image where you can see the state of the muscle and the location, the method proposed as a super position between optical and thermal images, with the intention of being able to know the state of the optical image and to have the same image with information of the behavior of the temperature, the super position that we propose is to have as a base the optical image and on placing the thermal image, the results that are presented are oriented in proposing a new way of analyzing data with thermal information of the behavior of the muscles, by means of a complex image with optical and thermal information, the method is an aid in the treatment of muscular recovery, with the benefits of being scalable and applicable to other muscles and parts of the human body.
