Oscar Castillo

ORCID: 0000-0002-7385-5689
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About
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Research Areas
  • Fuzzy Logic and Control Systems
  • Neural Networks and Applications
  • Metaheuristic Optimization Algorithms Research
  • Evolutionary Algorithms and Applications
  • Fuzzy Systems and Optimization
  • Robotic Path Planning Algorithms
  • Control and Dynamics of Mobile Robots
  • Multi-Criteria Decision Making
  • Advanced Control Systems Optimization
  • Rough Sets and Fuzzy Logic
  • Advanced Multi-Objective Optimization Algorithms
  • Face and Expression Recognition
  • Advanced Control Systems Design
  • Advanced Data Processing Techniques
  • Stock Market Forecasting Methods
  • Adaptive Control of Nonlinear Systems
  • Fault Detection and Control Systems
  • Complex Systems and Time Series Analysis
  • Chaos control and synchronization
  • Time Series Analysis and Forecasting
  • Robotic Locomotion and Control
  • Advanced Algorithms and Applications
  • Advanced Scientific Research Methods
  • Scheduling and Optimization Algorithms
  • Advanced Clustering Algorithms Research

Instituto Tecnológico de Tijuana
2016-2025

Tecnológico Nacional de México
2019-2025

Şırnak University
2021

Inonu University
2021

University of Nebraska at Omaha
2017-2020

Precision Research Institute
2005-2019

Universidad de Guadalajara
2008-2018

Universidad Antonio Nariño
2018

Universidad de Ingeniería y Tecnología
2018

Universidad Técnica del Norte
2018

This paper presents an edge-detection method that is based on the morphological gradient technique and generalized type-2 fuzzy logic. The theory of alpha planes used to implement logic for edge detection. For defuzzification process, heights approximation methods are used. Simulation results with a type-1 inference system, interval system detection presented. proposed was tested benchmark images synthetic images. We merit Pratt measure illustrate advantages using

10.1109/tfuzz.2013.2297159 article EN IEEE Transactions on Fuzzy Systems 2014-01-31

In this paper, a multiple ensemble neural network model with fuzzy response aggregation for the COVID-19 time series is presented. Ensemble networks are composed of set modules, which used to produce several predictions under different conditions. The modules simple networks. Fuzzy logic then aggregate responses predictor in way, improving final prediction by combining outputs an intelligent way. handles uncertainty process making decision about prediction. complete was tested case...

10.3390/healthcare8020181 article EN Healthcare 2020-06-19

Nowadays Fuzzy logic in control applications is a well-recognized alternative, and this thanks to its inherent advantages as robustness.However, the Type-2 Logic approach, allows managing uncertainty model.Type-2 has recently shown provide significant improvement image processing applications, however it also important analyze impact controller performance.This paper presenting comparison robustness of Interval Generalized Controllers, order generate criteria decide which type better...

10.14736/kyb-2018-1-0175 article EN Kybernetika 2018-03-20

The novel coronavirus infection (COVID-19) that was first identified in China December 2019 has spread across the globe rapidly infecting over ten million people. World Health Organization (WHO) declared it as a pandemic on March 11, 2020. What makes even more critical is lack of vaccines available to control disease, although many pharmaceutical companies and research institutions all world are working toward developing effective solutions battle this life-threatening disease. X-ray...

10.1007/s00500-020-05275-y article EN other-oa Soft Computing 2020-08-28

Developments in transportation systems, changes consumerism trends, and conditions such as COVID-19 have increased both the demand load on freight transportation. Since various companies are transporting goods all over world to evaluate sustainability, speed, resiliency of data fluidity measurement systems needed. In this study, an integrated decision-making model is proposed advantage prioritize alternatives. The composed two main stages. first stage, Dombi norms based Logarithmic...

10.1016/j.cie.2022.108773 article EN cc-by Computers & Industrial Engineering 2022-11-08

Using self-powered sensors, traffic data may be collected continuously, efficiently, and sustainably once connected autonomous vehicles (CAVs) are a part of metaverse technology. Metaverse sensors can capture uninterrupted that allow for activities such as the management network, optimization transportation facilities, urban intercity journeys to performed. In addition, technology creates new field study. Evaluating systems involved in current together with increase efficiency sustainability...

10.1016/j.ins.2023.119192 article EN cc-by Information Sciences 2023-05-19
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