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1
artículo
Publicado 2020
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ABSTRACT With the development of information and communication technologies, new opportunities and applications of many technologies are emerging that before could not be thought to be used, in this sense artificial intelligence is the technology that has gained greater strength, accompanied by the development of hardware that makes its execution possible and of software tools that make its implementation possible. The neural network is one of the most used techniques in the field of artificial intelligence. This work is based on analyzing possible cases of labor judicial problems, when workers who have suffered an abuse by employers are faced with. The success of the case according to the model presented, is based on being able to have the majority of documentation that evidences both the employment relationship, responsibilities of the employees, documents that support the payment of r...
2
artículo
Publicado 2018
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Different Machine Learning techniques have been used in order to identify the wishes of patients with neurodegenerative diseases. For this purpose, a database of electroencephalographic (EEG) signals was used, which were filtered and processed. The determination of the wills of patients was achieved through the identification of brain waves P300, these signals are presented in the brain in response to an unexpected stimulus and among its many applications is the implementation of the so-called Brain-Computer Interface .
3
objeto de conferencia
In the present project it is focused on patients Amotrophy Lateral Sclerosis (ALS), so these patients do not have control of their motor functions therefore are unable to move on their own, requiring third party assistance to move with his wheelchair. Patients of Amyotrophic Lateral Sclerosis do not lose their cognitive ability, which is why you can use it to control his wheelchair as part of a computer chandler system using Cyton board of open BCI brain signals is extracted and with the help of deep learning classification of signals, so the patient can move their own means be held. In this project it was possible to perform communication computer brain, in addition to the proper functioning of the system, in addition it was possible to implement a security system that protects the patient against accidents, so the patient is safer to move; whole system gives the patient, partial indepe...
4
artículo
Publicado 2018
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Different Machine Learning techniques have been used in order to identify the wishes of patients with neurodegenerative diseases. For this purpose, a database of electroencephalographic (EEG) signals was used, which were filtered and processed. The determination of the wills of patients was achieved through the identification of brain waves P300, these signals are presented in the brain in response to an unexpected stimulus and among its many applications is the implementation of the so-called Brain-Computer Interface .
5
artículo
Publicado 2023
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The introduction of artificial intelligence methods and techniques in the construction industry has fostered innovation and constant improvement in the automation of monitoring and control processes at construction sites, although there are areas where more studies still need to be conducted. This paper proposes a method to determine the criticality of cracks in concrete samples. The proposed method uses a previously trained YOLOv4 neural network to identify concrete cracks. Then, the region of interest, determined by the bounding box resulting from the neural network model classification, is extracted. Finally, the extracted image is converted to negative grayscale to quantify the number of white pixels above a certain threshold, automatically allowing the system to characterize the fracture’s extent and criticality. The classification module reached a veracity between 98.36% and 99.7...
6
artículo
Publicado 2024
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This systematic review focused on evaluating the impact of the machine learning operations (MLOps) methodology on anomaly detection and the integration of artificial intelligence (AI) projects in computer auditing. Data collection was carried out by searching for articles in databases, such as Scopus and PubMed, covering the period from 2018 to 2024. The rigorous application of the preferred reporting items for systematic reviews and meta analyses (PRISMA) methodology allowed 88 significant records to be selected from an initial set of 1,389, highlighting the completeness of the selection phase. Both quantitative and qualitative analysis of the data obtained revealed emerging trends in the research and provided key insights into the implementation of MLOps in AI projects, especially in response to increasing complexity, whereby the adoption of the MLOps methodology stands out as a crucia...
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8
artículo
Publicado 2023
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The spatial heterogeneity of soil properties has a significant impact on crop growth, making it difficult to adopt site-specific crop management practices. Traditional laboratory-based analyses are costly, and data extrapolation for mapping soil properties using high-resolution imagery becomes a computationally expensive procedure, taking days or weeks to obtain accurate results using a desktop workstation. To overcome these challenges, cloud-based solutions such as Google Earth Engine (GEE) have been used to analyze complex data with machine learning algorithms. In this study, we explored the feasibility of designing and implementing a digital soil mapping approach in the GEE platform using high-resolution reflectance imagery derived from a thermal infrared and multispectral camera Altum (MicaSense, Seattle, WA, USA). We compared a suite of multispectral-derived soil and vegetation indi...
9
objeto de conferencia
Publicado 2009
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Presentación que se llevó a cabo durante el I Congreso Internacional de Computación y Telecomunicaciones COMTEL 2009 del 18 al 20 de noviembre de 2009 en Lima, Perú. COMTEL, es un certamen organizado por la Facultad de Ingeniería de Sistemas, Cómputo y Telecomunicaciones de la Universidad Inca Garcilaso de la Vega, que congrega a profesionales, investigadores y estudiantes de diversos países con el fin de difundir e intercambiar conocimientos, mostrar experiencias académicas-científicas y soluciones para empresas en las áreas de Computación, Telecomunicaciones y disciplinas afines.
10
tesis de grado
Publicado 2025
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En el presente trabajo de investigación se implementan sistemas de control re-alimentados para regular la velocidad y posición de un motor brushless DC, así como la temperatura generada por una resistencia calefactora. Las implementaciones emplean técnicas de Machine Learning, específicamente el Proceso Gaussiano y una Red Neuronal Anticipativa (RNA) con el fin de predecir la respuesta de las variables físicas del sistema. Posteriormente, se determinan los parámetros óptimos del controlador PID (Proportional Integral Derivative) mediante un enfoque basado en descenso de gradiente. Con fines comparativos, se desarrollan también sistemas de control empleando un PID convencional. Las simulaciones de los sistemas se realizan en MATLAB/Simulink y las implementaciones se llevan a cabo en la Maleta de Entrenamiento Siemens del laboratorio de Sistemas de Control de la Universidad de Ing...
11
artículo
Publicado 2019
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Advanced Brain-Computer Interface (BCI) paradigms aim to solve some problems as BCI illiteracy and unfamiliarity of the subjects to be able to control their elicited motor imagery (MI) successfully, hence improving training time and performance of BCI systems. This work evaluates the effect and performance of an Implicit BCI supported by the Gaze Monitoring (IBCI-GM) paradigm for virtual rehabilitation therapy of patients suffering from partial or total paralysis of their upper limbs; this paradigm also was compared with alternative forms of advanced BCI methods such as Virtual Reality-based BCI (VR-BCI) with a head-mounted display (HMD) and a computer screen (CS). Eight subjects participated in the experiments; four subjects tested the VR-BCI with a CS, and the rest of them tested both BCI advanced methods (IBCI-GM and VR-BCI with an HMD). The subjects were asked to control a virtual ar...
12
artículo
Publicado 2021
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Computer vision is one of the fields of Artificial Intelligence that is flourishing because it focuses on the development and improvement of techniques that allow computers to identify, process and classify images, in a way that resembles human vision. This feature makes them an excellent tool for vehicle control systems. For this reason, we developed a system for the recognition of Mexico City license plates using artificial vision techniques, image processing and automatic learning, in order to monitor and speed up response times, when a stolen vehicle is found.
13
objeto de conferencia
Publicado 2017
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Motor Imagery based BCIs (MI-BCIs) allow the control of devices and communication by imagining different mental tasks. Despite many years of research, BCIs are still not the most accurate systems to control applications, due to two main factors: signal processing with classification, and users. It is admitted that BCI control involves certain characteristics and abilities in its users for optimal results. In this study, spatial abilities are evaluated in relation to MI-BCI control regarding flexion and extension mental tasks. Results show considerable correlation (r=0.49) between block design test (visual motor execution and spatial visualization) and extension-rest tasks. Additionally, rotation test (mental rotation task) presents significant correlation (r=0.56) to flexion-rest tasks.
14
artículo
Publicado 2022
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Computer vision is one of the fields of Artificial Intelligence that is flourishing because it focuses on the development and improvement of techniques that allow computers to identify, process and classify images, in a way that resembles human vision. This feature makes them an excellent tool for vehicle control systems. For this reason, we developed a system for the recognition of Mexico City license plates using artificial vision techniques, image processing and automatic learning, in order to monitor and speed up response times, when a stolen vehicle is found.
15
artículo
Publicado 2022
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Online classes are causing many changes, from the behavior of students to the way they are understanding the classes. In a normal situation, students are in school classrooms, where the environment is suitable for students to pay the most attention, in these times, where online classes are developed, classes are developed at home, where they were adapted environments to carry out these activities, in these situations they cause the appearance of distracting agents, causing students to be distracted when they are in class, these distracting agents can be the same house, the toys, the television and in some cases the brother who is in classes and found in the same environment. The proposed methodology proposes the analysis of the environment where the online classes are held, in a particular case, with the use of the BCI device, measurements of concentration and meditation levels are carri...
16
tesis de grado
Publicado 2023
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En esta investigación se desarrolló un sistema con machine learning e inteligencia de negocios. Siendo de gran utilidad para las empresas que están innovando y adaptándose a los nuevos cambios tecnológicos. Ya que con este sistema se podrán realizar reservas desde casa. Se tuvo como objetivo determinar la influencia de un sistema automatizado de procesos con machine learning e inteligencia de negocios para el servicio técnico de la Empresa InforSystems computer SAC - Bagua Grande. De tal manera que al hacer uso del sistema reducirá las grandes colas aglomeradas en la empresa para poder reservar un servicio técnico de igual forma llevar un control con mayor precisión en cuanto a las ventas y compras. Ya que al estar alojado en la nube se podrá ingresar desde cualquier equipo electrónico y desde cualquier parte del mundo. Esta investigación es de tipo aplicada con un diseño p...
17
artículo
Attention deficit hyperactivity disorder (ADHD) represents a medical condition characterized by the presence of inattention, hyperactivity, and impulsivity, which affects the academic development of students globally. In Peru, it affects a proportion of the pediatric population ranging from 2% to 12%, with a prevalence of 12.1% in South Lima, particularly in public schools. This research presents an online application with machine learning to improve the detection of ADHD in elementary school children. Several machine learning algorithms were reviewed and Random Forest was selected as the best-performing model with an accuracy of 96.08%. The model uses 27 selected variables, optimizing data collection and training. The child answers the questionnaire within the app and psychologists can access the app to visualize the results, aiding in the early detection of ADHD. The experiment involve...
18
artículo
Publicado 2025
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With the advancement of technology, remote work and virtual classes have become increasingly common, leading to prolonged periods in front of computers and, consequently, to discomfort and even lower back pain. This study compares machine learning algorithms to identify and prevent low back pain, a common health problem. A predictive model for early diagnosis and prevention of these injuries was developed using datasets from open data repositories. Six machine learning models were used to train the data. Results showed that logistic regression was the most effective model, with performance curves of 70%, 90%, and 99%. Performance metrics indicated 86% accuracy, 85% recall, and 86% F1-score. Accuracy of 70%, recall of 71%, and F1-score of 63% reflect the robust ability of the model to address the problem. In addition, an intuitive interface was implemented using Gradio Software to improve...
19
tesis de grado
Publicado 2023
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This paper presents alternatives for the implementation of a Market Place called “Clic”, considering the technological infrastructure necessary for its operation based on Machine Learning algorithms. During the elaboration of this paper, surveys were conducted to both users qualified as "Clients" and "Professionals" about the intentionality of use and the probability of payment for the publication of their services in the platform. This paper presents the recommended steps for the composition of the Clic company, the way the information is collected for Machine Learning and the data obtained from the users, the recommended environments for the development of the application, the results of the surveys carried out, the feasibility of the Machine Learning algorithm, numerical data of financial feasibility for the execution of the project.
20
tesis de grado
Publicado 2022
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La presente implementación tuvo como objetivo automatizar procesos de digitalización de datos apoyándose en técnicas de Inteligencia Artificial, como Machine Learning, sobre documentos aduaneros como Facturas Comerciales y Documentos de Embarque fundamentales para la emisión de una DAM a SUNAT. Para el cumplimiento del objetivo de la implementación, se hicieron uso de servicios en la nube como Computer Visión y Form Recognizer de la plataforma de Microsoft Azure, las cuales funcionan sobre Inteligencia Artificial y Machine Learning para crear modelos personalizados de documentos aduaneros, permitiendo ahorros en tiempos de desarrollo e infraestructura tecnológica. Los tiempos que toma crear y entrenar modelos sobre su plataforma van desde segundos a pocos minutos y las muestras mínimas requeridas son de 5, haciendo que sea tomada como mejor opción ante otros servicios con funci...
