Ingeniería de Sistemas: Recent submissions
Now showing items 141-160 of 323
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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 ... -
Detection of Breast Cancer using Convolutional Neural Networks with Learning Transfer Mechanisms
(SAI The Science and Information Organization, 2023)Acceso abiertoBreast cancer is the leading cause of mortality in women worldwide. One of the biggest challenges for physicians and technological support systems is early detection, because it is easier to treat and establish curative ... -
Artificial Intelligence in Engineering and Computer Science Learning: Systematic Review Article
(International Journal of Membrane Science and Technology, 2023)Acceso abiertoUntil the present, the technology has made students and teachers to object in its use, the quick development of it in engineering has been possible by the appearance of the covid-19, the objective of this investigation is ... -
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 ... -
Augmented reality for innovation: Education and analysis of the glacial retreat of the Peruvian Andean snow-capped mountains
(Elsevier, 2023)Acceso abiertoMountain glaciers are considered great reservoirs of water, and their importance lies in the fact that many of our ecosystems and numerous communities depend on them; Peru has one of the largest extensions of Andean ... -
Productivity of incident management with conversational bots-a review
(IAES International Journal of Artificial Intelligence (IJ-AI), 2023)Acceso abiertoThe use of conversational agents (bots) in information systems managed by company’s increases productivity in the development of activities focused on processes such as customer service, healthcare, and presentation. 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 ... -
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 ... -
Forest fire management using machine learning techniques
(Elsevier, 2023)Acceso abiertoAs per the latest survey produced by the Forest Survey, the forest cover is 19.27% of the geographic area. According to this report every country can meet the human needs of 16% of the world’s population from the 1% of the ... -
The Public Health Contribution of Sentiment Analysis of Monkeypox Tweets to Detect Polarities Using the CNN-LSTM Model
(MDPI, 2023)Acceso abiertoMonkeypox is a rare disease caused by the monkeypox virus. This disease was considered eradicated in 1980 and was believed to affect rodents and not humans. However, recent years have seen a massive outbreak of monkeypox ... -
Text prediction recurrent neural networks using long shortterm memory-dropout
(Indonesian Journal of Electrical Engineering and Computer Science, 2023)Acceso abiertoUnit short-term memory (LSTM) is a type of recurrent neural network (RNN) whose sequence-based models are being used in text generation and/or prediction tasks, question answering, and classification systems due to their ... -
Search and classify topics in a corpus of text using the latent dirichlet allocation model
(Indonesian Journal of Electrical Engineering and Computer Science, 2023)Acceso abiertoThis work aims at discovering topics in a text corpus and classifying the most relevant terms for each of the discovered topics. The process was performed in four steps: first, document extraction and data processing; ... -
Scheme of Secure Satellite Intercommunications Based at Solar Photons
(IEEE, 2022)Acceso restringidoWith the advent of novel Internet technologies it is clearly expected that most of them will have practical applications such as the recent Internet called Internet of Space Things. When this new technologies are running ... -
Student Dropout in Information and Comunications Technology Careers
(IEEE, 2022)Acceso restringidoStudent dropout is a phenomenon that affects all universities and a topic of interest because of the negative effects on the student, the family, and the university. Universities make efforts and implement tutoring and ... -
The Machine Learning Principles Based at the Quantum Mechanics Postulates
(Springer Link, 2022)Acceso restringidoQuantum mechanics is governed by well-defined postulates by the which one can go through either theory or experimental studies in order to perform measurements of microscopic dynamics of elementary particles, atoms and ... -
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 ... -
Corona Virus and Entropy of Shannon at the Cardiac Cycle: A Mathematical Model
(Springer Link, 2022)Acceso restringidoAlong the weeks of symptoms due Corona Virus Disease 2019 (Covid-19 in short), patients are exhibiting an inverse relation between Oxygen saturation and beats per minute. Thus, the scenarios of the highest cardiac pulse ... -
Simulating the Arnaoutova-Kleinman Model of Tubular Formation at Angiogenesis Events Through Classical Electrodynamics
(Springer Link, 2022)Acceso restringidoThe Arnaoutova-Kleinman model is simulated in an entire scenario of Classical Electrodynamics. For this end the 4-steps are considered: (i) The migration of endothelial cells, (ii) the random attachment among them, (iii) ... -
Business Cybersecurity. Case study in Peruvian and Mexican SMEs
(IEEE, 2022)Acceso restringidoCurrently, organizations present a gap between business processes and information technology areas that translates into economic loss when they are victims of cyberattacks and affect the continuity of their business. For ... -
Particles Detector as Random Numbers Generator at the Internet of Space Things Based at the BB84 Protocol
(IEEE, 2022)Acceso restringidoThis paper presents a proposal based at the conjunction of Internet of Space Things and quantum mechanics in order to establish a secure mechanism of inter-satellite communication. For this end the central idea of BB84 ...
