THE PROJECT PRESENTS THE DESIGN AND IMPLEMENTATION OF AN RPA SYSTEM FOR THE TEACHER QUALIFICATION PROCESS. THE MAIN GOAL OF THE PROJECT IS TO AUTOMATE AND IMPROVE THE ACCURACY OF THE GRADING PROCESS USING TECHNOLOGIES SUCH AS PDF FILE PROCESSING, GRADING ALGORITHMS, AND ARTIFICIAL INTELLIGENCE MODELS. THE PROJECT METHODOLOGY DESCRIBES THE RPA WORKFLOW, WHICH INCLUDES UPLOADING PDF FILES, CONVERTING TO EXCEL, ANALYZING EXCEL SHEETS, AND AUTOMATICALLY GENERATING RATING REPORTS. THE STUDY'S FINDINGS HIGHLIGHT THE IMPORTANCE OF AUTOMATION IN TEACHER QUALIFICATION AND THE POTENTIAL OF RPA TECHNOLOGIES TO IMPROVE THE EFFICIENCY AND QUALITY OF THIS PROCESS. FUTURE AREAS OF RESEARCH ARE SUGGESTED, SUCH AS INCORPORATING MACHINE LEARNING TECHNIQUES FOR CONTINUOUS SYSTEM IMPROVEMENT.. © 2024 LATIN AMERICAN AND CARIBBEAN CONSORTIUM OF ENGINEERING INSTITUTIONS. ALL RIGHTS RESERVED.

THIS ARTICLE ADDRESSES THE APPLICATION OF BUSINESS INTELLIGENCE AND THE USE OF TECHNIQUES AND TOOLS IN BUSINESS ENVIRONMENTS AND HOW IT HAS SIGNIFICANTLY IMPROVED THE DECISION MAKING THAT IS CARRIED OUT IN ALL BUSINESS AREAS. HOWEVER, THERE ARE DIFFERENCES AND THERE IS A GAP BETWEEN THE APPLICATION OF THIS CONCEPT AT THE NATIONAL LEVEL AND AT THE INTERNATIONAL LEVEL. THIS ARTICLE ADDRESSES THE MAIN ACHIEVEMENTS AND RESULTS OBTAINED BY RESEARCH APPLIED TO BUSINESS INTELLIGENCE AT BOTH LEVELSF MENTIONED, HIGHLIGHTING THEIR PROCEDURES, METRICS, TOOLS AND RELIABILITY METHODS. 17 ARTICLES WERE IDENTIFIED BETWEEN THE YEARS 2016 AND 2023 USING THE PRISMA METHODOLOGY. THESE ARTICLES UNDERWENT A SYSTEMATIC REVIEW THAT ALLOWED US TO IDENTIFY EXISTING GAPS AND PROVIDE OPPORTUNITIES FOR IMPROVEMENT ACCORDING TO THE RESULTS OBTAINED. © 2024 LATIN AMERICAN AND CARIBBEAN CONSORTIUM OF ENGINEERING INST...

HE REPORT DETAILS THE DEVELOPMENT OF A PYTHON WEB SOLUTION DESIGNED TO AUTOMATE GRADING AND PLAGIARISM DETECTION IN C++ ALGORITHM TESTS AND EXAMS. TO ACHIEVE THESE GOALS, TOOLS SUCH AS CPPLINT, SUBPROCESSES, AND OPENPYXL ARE USED, WHICH ALLOW CHECKING CODING STANDARDS AND MANIPULATING EXCEL FILES. THE SOLUTION HAS BEEN DESIGNED WITH A WEB INTERFACE ACCESSIBLE THROUGH BROWSERS, THUS ELIMINATING THE NEED TO INSTALL ADDITIONAL SOFTWARE. THIS APPROACH PROVIDES TEACHERS WITH THE ABILITY TO GRADE PRACTICES AND EXAMS AUTOMATICALLY, PROVIDING PRACTICALITY AND EFFICIENCY, REGARDLESS OF THEIR LOCATION AND AS LONG AS THEY HAVE ACCESS TO THE INTERNET. THE WEB INTERFACE IS INTUITIVE, ALLOWING USERS TO UPLOAD SOLUTION FILES, RUN THE QUALIFICATION AND RETRIEVE THE RESULTS IN FOLDERS GENERATED BY THE SAME PROGRAM ON THE USER'S COMPUTER. IN ADDITION, THE PLAGIARISM DETECTION FUNCTIONALITY HAS BEEN MAINTA...

Al contar con diferentes puntos en un espacio específico, surge la necesidad de recorrerlas tomando como referencia el problema del agente viajero, así también surge otro problema en el recorrido en el espacio, que es el riesgo en que los caminos se intersecten en el espacio, por tanto la presenta investigación para solucionarlo aplica una estrategia al algoritmo genético para evitar estos cortes, donde se aprovechó la ventaja de no competir todos contra todos, si no que a partir de una pequeña población se recorre el universo de casos, encontrando la posible mejor ruta en el espacio evitando estos cortes. Tomando en cuenta las funciones propias del algoritmo genético se resolvieron estos problemas usando la estrategia de traer de la generación anterior un par de mejores individuos a la generación actual. Considerando si se tiene 50 nodos en el espacio se logró resolver en 15...

La presente investigación pretende cubrir una necesidad de predecir el comportamiento del número de decesos de un país que ha terminado la cuarentena por Covid-19. Para lograr esto se usó una red neuronal backpropagation como herramienta de predicción. Tomando una base de datos pública los datos de decesos del país Dinamarca por Covid-19, siendo los datos acumulados en el rango de 16 de marzo del 2020 al 10 de mayo del 2020 las entrada para la red neuronal, logrando predecir para el 11 de mayo 2020 un acumulado de 209 decesos, implicando un pronóstico de 2 decesos de error según los que realmente han sido publicados de acumulado de 210 decesos. Este resultado representa 98.8% de efectividad.