MARCO ANTONIO PÉREZ CISNEROS
Resumen curricular:
El Dr. Pérez Cisneros obtuvo su doctorado en la Universidad de Manchester, Reino Unido, con especialidad en Ingeniería de Control y Robótica. Es mi... Ver más
El Dr. Pérez Cisneros obtuvo su doctorado en la Universidad de Manchester, Reino Unido, con especialidad en Ingeniería de Control y Robótica. Es miembro del Sistema Nacional de Investigadores nivel I, y miembro del cuerpo académico consolidado UDG-504 de Robótica, Visión Computacional y Control Automático. Sus líneas de investigación son sistemas de control inteligente, sistemas evolutivos y visión computacional. Es coautor de más de 130 publicaciones en revistas científicas y 7 libros de texto. Actualmente es el Rector del Centro Universitario de Ciencias Exactas e Ingenierías de la Universidad de Guadalajara, Senior Member de la IEEE y miembro regular de la Academia Mexicana de Ciencias. Funge como Editor Asociado de IEEE Letters. Ver menos
Perfil de Investigador SNII:
Perfil PRODEP:
Bases de datos bibliográficas:
Publicaciones del académico:
- Multi-Objective Water Strider Algorithm for Complex Structural Optimization: A Comprehensive Performance Analysis
- A Graph Segmentation Method Based on Compatibility Subgraph Aggregation
- Integration of Metaheuristic Operators Through Unstructured Evolutive Game Theory Approach: A novel hybrid Methodology
- Wrapper-based feature selection to classify flatfoot disease
- iArte Book
- Battle royale optimizer for multilevel image thresholding
- Contrast Enhancement in Images by Homomorphic Filtering and Cluster-Chaotic Optimization
- MetaCluster: An open-source Python library for metaheuristic-based clustering problems
- Dynamic Multimodal Function Optimization: An Evolutionary-Mean Shift Approach
- Trajectory-Driven Metaheuristic Approach Using a Second-Order Model
- Multi-objective Optimization of Anisotropic Diffusion Parameters for Enhanced Image Denoising
- Exploring the Potential of Agent Systems for Metaheuristics
- Collaborative Hybrid Grey Wolf Optimizer: Uniting Synchrony and Asynchrony
- Introduction to Metaheuristic Schemes: Characteristics, Properties, and Importance in Solving Optimization Problems
- Efficient Image Contrast Enhancement by Using the Moth Swarm Algorithm
- New Metaheuristic Schemes: Mechanisms and Applications
- Edge-Weighted Consensus-Based Formation Control with Collision Avoidance for Mobile Robots Based on Multi-Strategy Mutation Differential Evolution
- An agent-based model for public security strategies by predicting crime patterns
- An improved opposition-based Runge Kutta optimizer for multilevel image thresholding
- Multi-Circle Detection guided by Multimodal Optimization Scheme
- A Novel Decomposition-Based Multi-Objective Symbiotic Organism Search Optimization Algorithm
- Artificial Intelligence in Wind Speed Forecasting: A Review
- Agent-Based Image Contrast Enhancement Algorithm
- Inteligencia artificial en la salud: Las investigaciones en procesamiento de imágenes como apoyo al médico especialista
- Correction: Z-Transform-Based Profile Matching to Develop a Learning-Free Keyword Spotting Method for Handwritten Document Images
- Studies in Computational Intelligence
- A grouping differential evolution algorithm boosted by attraction and repulsion strategies for masi entropy-based multi-level image segmentation
- Groundwater flow algorithm: A novel hydro-geology based optimization algorithm
- Z-Transform-Based Profile Matching to Develop a Learning-Free Keyword Spotting Method for Handwritten Document Images
- Formation Control of Mobile Robots Based on Pin Control of Complex Networks
- Modern Metaheuristics in Image Processing
- An improved multi-population whale optimization algorithm
- Solving Reality-Based Trajectory Optimization Problems with Metaheuristic Algorithms Inspired by Metaphors
- Improving the Convergence and Diversity in Differential Evolution Through a Stock Market Criterion
- Digital image thresholding by using a lateral inhibition 2D histogram and a Mutated Electromagnetic Field Optimization
- Identification of apple diseases in digital images by using the Gaining-sharing knowledge-based algorithm for multilevel thresholding
- Opposition-based moth swarm algorithm
- Identification of parameters in photovoltaic models through a runge kutta optimizer
- An accurate Cluster chaotic optimization approach for digital medical image segmentation
- Classification of apple disease based on non-linear deep features
- Robust clustering routing method for wireless sensor networks considering the locust search scheme
- Group-based synchronous-asynchronous Grey Wolf Optimizer
- Search Patterns Based on Trajectories Extracted from the Response of Second-Order Systems
- Improving the segmentation of magnetic resonance brain images using the LSHADE optimization algorithm
- Moth Swarm Algorithm for Image Contrast Enhancement
- Studies in Computational Intelligence
- Inner limiting membrane segmentation and surface visualization method on retinal OCT images
- A grouping differential evolution algorithm boosted by attraction and repulsion strategies for masi entropy-based multi-level image segmentation
- Image Classification with Convolutional Neural Networks
- Thresholding algorithm applied to chest X-ray images with pneumonia