Daniel Zaldivar Navarro

About Daniel Zaldivar Navarro

Daniel Zaldivar Navarro, With an exceptional h-index of 38 and a recent h-index of 30 (since 2020), a distinguished researcher at Universidad de Guadalajara, specializes in the field of computer vision, artificial intelligence, robots.

His recent articles reflect a diverse array of research interests and contributions to the field:

Mathematical Optimization Strategy for Effectiveness Profile Estimation in Two-Dose Vaccines and Its Use in Designing Improved Vaccination Strategies Focused on Pandemic …

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

Daniel Zaldivar Navarro Information

University

Position

___

Citations(all)

5471

Citations(since 2020)

3117

Cited By

4714

hIndex(all)

38

hIndex(since 2020)

30

i10Index(all)

90

i10Index(since 2020)

62

Email

University Profile Page

Google Scholar

Daniel Zaldivar Navarro Skills & Research Interests

computer vision

artificial intelligence

robots

Top articles of Daniel Zaldivar Navarro

Mathematical Optimization Strategy for Effectiveness Profile Estimation in Two-Dose Vaccines and Its Use in Designing Improved Vaccination Strategies Focused on Pandemic …

Vaccines

2024/1/12

Dynamic Multimodal Function Optimization: An Evolutionary-Mean Shift Approach

2023/11/7

Trajectory-Driven Metaheuristic Approach Using a Second-Order Model

2023/11/7

Multi-objective Optimization of Anisotropic Diffusion Parameters for Enhanced Image Denoising

2023/11/7

Exploring the Potential of Agent Systems for Metaheuristics

2023/11/7

Collaborative Hybrid Grey Wolf Optimizer: Uniting Synchrony and Asynchrony

2023/11/7

Introduction to Metaheuristic Schemes: Characteristics, Properties, and Importance in Solving Optimization Problems

2023/11/7

Efficient Image Contrast Enhancement by Using the Moth Swarm Algorithm

2023/11/7

New Metaheuristic Schemes: Mechanisms and Applications

2023/11/6

Enhancing Pneumonia Segmentation in Lung Radiographs: A Jellyfish Search Optimizer Approach

Mathematics

2023/10/20

Image segmentation by agent-based pixel homogenization

IEEE Access

2023/5/16

Layer dependent changes of neural activity underlying laminar fMRI

2023/5

A review of the use of quasi-random number generators to initialize the population in meta-heuristic algorithms

2022/11

Neuromodulatory ascending systems: Their influence at the microscopic and macroscopic levels

Frontiers in Neural Circuits

2022/10/26

Brain-wide functional connectivity of face patch neurons during rest

Proceedings of the National Academy of Sciences

2022/9/6

An agent-based transmission model of COVID-19 for re-opening policy design

Computers in Biology and Medicine

2022/9/1

An improved multi-population whale optimization algorithm

International Journal of Machine Learning and Cybernetics

2022/9

Solving Reality-Based Trajectory Optimization Problems with Metaheuristic Algorithms Inspired by Metaphors

2022/6/5

An optimized Kernel Extreme Learning Machine for the classification of the autism spectrum disorder by using gaze tracking images

Applied Soft Computing

2022/2/25

Metaheuristic schemes and machine learning techniques: A synergistic perspective

2022/4/1

See List of Professors in Daniel Zaldivar Navarro University(Universidad de Guadalajara)