Browsing by Subject "Machine learning"
Now showing items 1-20 of 29
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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 ... -
Aplicativo móvil de procesamiento de imágenes usando Machine Learning para el reconocimiento de incidencias de residuos sólidos en la municipalidad de Punta Hermosa
(Universidad Autónoma del Perú, 2022-09-30)Acceso abiertoEsta investigación se basó en la influencia entre un aplicativo móvil de procesamiento de imágenes usando Machine Learning y el reconocimiento de incidencias de residuos sólidos, ya que durante los últimos años el Perú ... -
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 ... -
Can Artificial Intelligence do Autonomous Research?: An Example of Using the Mitchell Criteria
(IEEE, 2023)Acceso restringidoNowadays, media and scientific literature have shown capabilities of Artificial Intelligence (AI) to carry out autonomous activities with the same efficiency as a human being are presented. It is clear that AI can support ... -
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 ... -
HEART ATTACK PREDICTION USING MACHINE LEARNING: A COMPREHENSIVE SYSTEMATIC REVIEW AND BIBLIOMETRIC ANALYSIS
(Journal of Theoretical and Applied Information Technology, 2023)Acceso restringidoStudies on predicting heart attacks using Machine Learning demonstrate that there is a wide variety of algorithms and methodologies highlighting their impact on heart attack prediction. This can help in reducing the risk ... -
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 ... -
Machine Learning-Based Customer Behavior Analysis for E-commerce Platforms
(IEEE, 2023)Acceso restringidoProviding a method that is founded on machine learning to analyze the behavior of customers on e-commerce platforms is the objective of this research study, which aims to provide a method. It is necessary for companies ... -
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 ...
