Marco Ramos

ORCID: 0000-0003-3982-6988
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About
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Research Areas
  • Evolutionary Algorithms and Applications
  • Neural dynamics and brain function
  • Memory and Neural Mechanisms
  • Social Robot Interaction and HRI
  • Cognitive Science and Mapping
  • Reinforcement Learning in Robotics
  • Distributed systems and fault tolerance
  • Advanced Steganography and Watermarking Techniques
  • Metaheuristic Optimization Algorithms Research
  • Digital Media Forensic Detection
  • Face recognition and analysis
  • Sleep and Wakefulness Research
  • Robotics and Automated Systems
  • Modular Robots and Swarm Intelligence
  • Cephalopods and Marine Biology
  • 3D Surveying and Cultural Heritage
  • Linguistics and Education Research
  • Cultural, Media, and Literary Studies
  • RFID technology advancements
  • Blockchain Technology Applications and Security
  • Human Motion and Animation
  • Hand Gesture Recognition Systems
  • Greenhouse Technology and Climate Control
  • Chaos-based Image/Signal Encryption
  • Image Retrieval and Classification Techniques

Universidad Autónoma del Estado de México
2014-2023

Instituto Superior Técnico
2023

Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento
2023

Universidade Federal da Bahia
2012-2018

Instituto Nacional de Investigaciones Nucleares
2013

Southwest Bahia State University
2012

Universidad Autónoma de Madrid
2011

Institut de Recherche en Informatique de Toulouse
2005-2006

Université Toulouse III - Paul Sabatier
2005-2006

Université Toulouse - Jean Jaurès
2006

El objetivo de la presente investigación fue analizar el control tributario en gestión contable empresa Transporte, Minería y Construcción Oncoy Ingenieros S.A.C., Huaraz, 2024. La metodología tipo básico, enfoque cualitativo diseño caso. Se aplicó como técnicas entrevista análisis normativo instrumentos una guía ficha documental. Los resultados resaltan importancia del elemento clave para eficiente. Implementar un eficaz es fundamental fortalecer contable, garantizar cumplimiento oportuno...

10.33326/27086062.2025.1.2213 article ES cc-by Economía & Negocios 2025-04-24

This article presents a steganography proposal based on embedding data expressed in base 10 by directly replacing the pixel values from images red, green blue (RGB) with novel compression technique watermarks. The method considers manipulation of object to be embedded through triple process via LZ77 and 64, watermark low-quality images, discrete wavelet transformation-singular value decomposition (DWT-SVD), message is recovered loss calculated, image lost compressed again using 64 generate...

10.11591/ijece.v13i6.pp6335-6350 article EN International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering 2023-09-24

Emotional regulation is a mechanism to adjust our behavior the current environment. We use this achieve goals and objectives. This paper proposes model for emotional in virtual agents based on biological evidence of human brain function. The shows different activation during regulation. defines techniques that are implemented, data flow, processing each area In case study, agent changes when it takes into account does not. has memories; they from previous experiences help provide desired behavior.

10.1109/icci-cc.2013.6622253 article EN 2013-07-01

Plant's simulation through Lindenmayer Systems is a well know field, but most of the work in area focus on growth part developmental process. From an artificial life perspective, it desired to have that includes all stages cycle plant. That reason why this paper target last stage and propose strategy include concept death systems. By using parametric context-sensitive systems modeling simulation, semantics mentioned can be captured and, thereby, with proper interpretation, graphic result, at...

10.1109/icnc.2014.6975862 article EN 2014-08-01

Chaotic time series have been successfully predicted with the EPNet algorithm through evolution of artificial neural networks. However, input feature selection problem has either not fully explored before or compared against other algorithms in literature. This paper presents four derived from classical to evolve three different chaotic series: Logistic, Lorenz and Mackey-Glass. Additionally, some flaws prediction field that may be considered future works are discussed. A comparison previous...

10.1109/cerma.2011.19 article EN IEEE Electronics, Robotics and Automotive Mechanics Conference 2011-11-01

Emotion regulation is a process by which human beings control emotional behaviors. From neuroscientific evidence, this mechanism the product of conscious or unconscious processes. In particular, generated needs priori components to be computed. The behaviors previous experiences are among these components. These need adapted fulfill objectives in specific situation. problem we address how endow virtual creatures with emotion order compute an appropriate behavior This clearly important and...

10.1155/2017/5204083 article EN cc-by Computational Intelligence and Neuroscience 2017-01-01

Pervasive service composition is useful in many scenarios, for instance, urban planning or controlled harvest. Currently, there no standard to develop solutions using pervasive composition. However, big companies propose their frameworks complex services, but are appropriate specific applications, such as home automation and agriculture. On the other hand, different very well-grounded academic proposals these do not solve problems of traditional approaches that areas application, adaptation...

10.3390/app11041803 article EN cc-by Applied Sciences 2021-02-18

In this paper, we present a fuzzy mechanism to update in more natural way the emotional and mood states of virtual humans. To implement mechanism, take into account ten personality scales defined by Minnesota Multiphasic Personality Inventory endow humans with real personality. manner, apply different sets rules change regulate affective state according their personality, history, level intensity events they perceive from environment.

10.1109/cw.2010.40 article EN 2010-10-01

Automatic human facial recognition is an important and complicated task; it necessary to design algorithms capable of recognizing the constant patterns in face use computing resources efficiently. In this paper we present a novel algorithm recognize real time; system’s input depth color data from Microsoft KinectTM device. The recognizes patterns/shapes on point cloud topography. template based geometry; forensic theory classifies with respect patterns: cephalometric points, lines, areas...

10.13053/cys-19-3-2015 article EN Computación y Sistemas 2015-10-04

Attention and emotions are two major functions underlying human behavior. Evidence shows that these processes interact extensively in the brain. In fields such as human-computer interactions artificial intelligence, computational models of attention have been developed to be included cognitive agent architectures. However, implemented separated processes. Although this strategy has allowed development intelligent agents capable showing very believable behavior, modeling between emotion...

10.1109/cw.2012.16 article EN 2012-09-01

This paper describes an application based on internet of things (IoT) and gesture recognition through the MediaPipe library to communicate people with hearing speech disabilities who use Mexican sign language (MSL) do not have a disability. The system is made up two modules, one hand, there Apple watch ability obtain text voice inputs in Spanish stand for translation into video images. can set connection charge performing by capturing images from camera, IoT user connect so that...

10.11591/eei.v13i5.7853 article EN Bulletin of Electrical Engineering and Informatics 2024-07-19
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