Ingeniería de Sistemas: Recent submissions
Now showing items 101-120 of 273
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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 ... -
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 ... -
Computational Reconstruction of Dirac- Delta Function from Quantum Electrodynamics Rules
(IEEE, 2022)Acceso restringidoIt is reconstructed the Dirac-Delta function exhibiting an interesting texture when the function is parametrized. For this end the well-known quantum electrodynamics rules are employed. Thus when the energy conservation ... -
The Criteria of Mitchell to Interpret Classical Radiation as Compton Scattering
(IEEE, 2022)Acceso restringidoThe principles of Machine Learning through the criteria of Mitchell are used to validate a concrete quantum-mechanics interpretation from a classical radiation scheme inside the framework of linear and nonlinear Compton ... -
Innovation and Digital Competence: A Bibliometric Analysis
(IEEE, 2022)Acceso restringidoTo integrate ICT into the classroom critically, creatively, and safely, teachers require more than operational technology proficiency. They need the development of digital competence as a dynamic element of innovation in ... -
Theoretical Proposal of an Internet of Pandemic Things Network Based at the Sensing of Proteins and Emission of Radiation in Outdoor Spaces
(IEEE, 2022)Acceso restringidoCommonly in pandemic times, curfew and social restrictions are applied in order to minimize the infections. As seen recently at the beginning of Covid-19 it was required that people avoid public spaces because the risk of ... -
Proposal of Wireless Measurement of Albumin Excretion Rate at the THz Band
(IEEE, 2022)Acceso restringidoThis paper presents a scheme of wireless measurement of excreted Albumin through the deployment of a nano spring whose expected role is the sending of signals from the electrical interaction between the nano device and the ... -
Neurogenesis as a Probability Amplitude Governed by Charges-Dependent Hamiltonian
(IEEE, 2022)Acceso restringidoInspired on the idea of Mathew P. A. Fisher about the possibility that quantum mechanics is playing some basic roles on the biochemical processes in the brain, this paper has opted by develop a theory based on the description ... -
Exploring Geographical Topologies and Diffusion of Monkeypox Infections at the Beginning Pandemic
(IEEE, 2022)Acceso restringidoAlthough a bit more of 2 months from the outbreak of Monkeypox pandemic, global data of number of infections are exhibiting an exponential behavior due to a fast propagation. In this paper it is analyzed the reported data ... -
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 ... -
Success and Fail at the Internalization and Expelling of Nanoparticles off Tumor Cells Through Electrodynamics and Diffusion Equation
(IEEE, 2022)Acceso restringidoInspired on the events of success and fail of targeted delivery drugs, this paper has opted by the usage of classical electrodynamics in conjunction to the diffusion equation to study the possible scenarios that allow the ...