Browsing Ingeniería de Sistemas by Subject "Machine learning"
Now showing items 1-20 of 24
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A Comprehensive Systematic Review of Neural Networks and Their Impact on the Detection of Malicious Websites in Network Users
(International Journal of Interactive Mobile Technologies (iJIM), 2023)Acceso abiertoThe large branches of Machine Learning represent an immense support for the detection of malicious websites, they can predict whether a URL is malicious or benign, leaving aside the cyber attacks that can generate ... -
Application of Machine Learning Models for Early Detection and Accurate Classification of Type 2 Diabetes
(MDPI, 2023)Acceso abiertoEarly detection of diabetes is essential to prevent serious complications in patients. The purpose of this work is to detect and classify type 2 diabetes in patients using machine learning (ML) models, and to select the ... -
Classification of Tweets Related to Natural Disasters Using Machine Learning Algorithms
(International Journal of Interactive Mobile Technologies (iJIM), 2023)Acceso abiertoAbstract—In recent years, computer science has advanced exponentially, helping significantly to identify and classify text extracted from social networks, specifically Twitter. This work identifies, classifies, and analyzes ... -
Combined Monte Carlo and Machine Learning Algorithms to Predict Horizontal Expansion of Lima City
(IEEE, 2022)Acceso restringidoIn this paper, the method of Monte Carlo is projected onto the Mitchell criteria inside the framework of Machine Learning. Because the probabilistic character that exhibits the theory of Mitchell, the Monte Carlo technology ... -
Data Analysis of Particle Physics Experiments Based on Machine Learning and the Mitchell’s Criteria
(Springer, 2020)Acceso restringidoCommonly the searching and identification of new particles, requires to reach highest efficiencies and purities as well. It demands to apply a chain of cuts that reject the background substantially. In most cases the ... -
Machine Learning Analysis for Cervical Cancer Prediction, a Systematic Review of the Literature
(Institute of Electrical and Electronics Engineers, 2021-12-30)Acceso restringidoAt present, cervical cancer is still the most complex issue due to the fact that people who suffer from it have a high risk of death. Therefore, it is very important to have an early diagnosis. The present study is a review ... -
Machine Learning Analysis in the Prediction of Diabetes Mellitus: A Systematic Review of the Literature
(Springer Link, 2023)Acceso restringidoIn recent years, diabetes mellitus has increased its prevalence in the global landscape, and currently, due to COVID-19, people with diabetes mellitus are the most likely to develop a critical picture of this disease. In ... -
Machine Learning and Bayes Probability For Detecting Camouflaged Mini Pandemic at the Waves of Covid-19
(IEEE, 2022)Acceso restringidoThis paper present a methodology based at Machine Learning and a theory backed by the Bayes probability to identify rare strains that might not be in coherence with the corona virus. By using the criteria of Tom Mitchell ... -
Machine Learning for Management in Software-defined Networks: A Systematic Literature Review
(DBpia, 2022)Acceso restringidoSoftware-Defined Networking (SDN) has emerged as a new paradigm for managing data networks, and Machine Learning (ML) techniques have become relevant in the scientific community to solve management problems. Research on ... -
Machine Learning for Price Prediction for Agricultural Products
(World Scientific and Engineering Academy and Society, 2021-06-07)Acceso abiertoFamily farms play a role in economic development. Limited in terms of land, water and capital resources, family farming is essentially characterized by its use of family labour. Family farms must choose which agricultural ... -
Machine Learning of a Pair of Charged Electrically Particles Inside a Closed Volume: Electrical Oscillations as Memory and Learning of System
(Springer Link, 2022)Acceso restringidoIn this paper the problem of two charged particles inside a frustum is faced through the principles of Machine Learning compacted by the criteria of Tom Mitchell. In essence, the relevant equations from the classical ... -
Machine Learning to Assess Urbanistic Development in the South Pole of Lima City
(Springer, 2022-01-01)Acceso restringidoWe employ Machine Learning through the Mitchell’s criteria to carry out an assessment on the potential spatial configurations at the south pole of Lima city, at Perú. Based at both qualitative and quantitative facts, an ... -
Model of Early Intervention Using Machine Learning: Predicting Monkeypox Pandemic
(IEEE, 2022)Acceso restringidoThis paper presents a model of intervention at the first phases of global pandemic using the criteria of Mitchell that simplifies to some extent the philosophy of Machine Learning. These criteria are projected onto the ... -
Predictive machine learning applying cross industry standard process for data mining for the diagnosis of diabetes mellitus type 2
(IAES International Journal of Artificial Intelligence (IJ-AI), 2023)Acceso abiertoCurrently, type 2 diabetes mellitus is one of the world's most prevalent diseases and has claimed millions of people's lives. The present research aims to know the impact of the use of machine learning in the diagnostic ... -
Price Prediction of Agricultural Products: Machine Learning
(Springer, 2022)Acceso restringidoFamily farming is essentially characterized by the use of family labor force, due to the lack of land, water, and capital resources. An important tool is which allows them to know which products will be the best priced ... -
Quantum Displacements Dictated by Machine Learning Principles: Towards Optimization of Quantum Paths
(Springer Link, 2023)Acceso restringidoIn Physics the energy of any system represents a sensitive variable because of it depends the functionality and evolution of system at time. Thus the deep knowledge of the interactions of system might be a remarkable ... -
Quantum Mechanics of Theorem of Bayes Modeled by Machine Learning Principles
(IEEE, 2022)Acceso restringidoA theory consisting in quantum mechanics and theorem of Bayes, is presented. In essence, the Bayes probability has been built from two subspaces. While in one some quantum measurements are done, in the another it is seen ... -
Sentiment Analysis of Tweets using Unsupervised Learning Techniques and the K-Means Algorithm
(SAI The Science and Information Organization, 2022)Acceso abiertoAbstract: Today, web content such as images, text, speeches, and videos are user-generated, and social networks have become increasingly popular as a means for people to share their ideas and opinions. One of the most ... -
Testing Machine Learning at Classical Electrodynamics
(Institute of Electrical and Electronics Engineers, 2021-10-22)Acceso restringidoLike physics or another laws-based basic science, machine learning might also be a firm methodology to solve physics problems by the which a kind of optimization and minimization of energy are needed. Expressed at the ... -
The Approach of Machine Learning to Optimize the Bank-Customer Interaction at Pandemic Epochs
(IEEE, 2022)Acceso restringidoAlong the pandemic created by the Corona virus 2019 (Covid-19 in shorthand), the global economy was observed to experience various turbulent months that were reflected by the increasing of unemployment and the apparition ...