Special Issue on Interdisciplinary Artificial Intelligence: Methods and Applications of Nature-Inspired Computing
1. Introduction
2. Metaheuristic Optimization Methods and Their Applications
3. Human Brain Inspiration and Neural Networks
4. Natural-Language-Processing-Based Applications
5. Fuzzy-Logic-Based Applications
Funding
Acknowledgments
Conflicts of Interest
References
- Dehghani, M.; Montazeri, Z.; Dhiman, G.; Malik, O.P.; Morales-Menendez, R.; Ramirez-Mendoza, R.A.; Dehghani, A.; Guerrero, J.M.; Parra-Arroyo, L. A Spring Search Algorithm Applied to Engineering Optimization Problems. Appl. Sci. 2020, 10, 6173. [Google Scholar] [CrossRef]
- Dehghani, M.; Mardaneh, M.; Guerrero, J.M.; Malik, O.P.; Ramirez-Mendoza, R.A.; Matas, J.; Vasquez, J.C.; Parra-Arroyo, L. A New “Doctor and Patient” Optimization Algorithm: An Application to Energy Commitment Problem. Appl. Sci. 2020, 10, 5791. [Google Scholar] [CrossRef]
- Dehghani, M.; Montazeri, Z.; Dehghani, A.; Samet, H.; Sotelo, C.; Sotelo, D.; Ehsanifar, A.; Malik, O.P.; Guerrero, J.M.; Dhiman, G.; et al. DM: Dehghani Method for Modifying Optimization Algorithms. Appl. Sci. 2020, 10, 7683. [Google Scholar] [CrossRef]
- Segev, A.; Curtis, D.; Balili, C.; Jung, S. Neuronless Knowledge Processing in Forests. Appl. Sci. 2020, 10, 2509. [Google Scholar] [CrossRef] [Green Version]
- Horng, S.-C.; Lee, C.-T. Integration of Ordinal Optimization with Ant Lion Optimization for Solving the Computationally Expensive Simulation Optimization Problems. Appl. Sci. 2021, 11, 136. [Google Scholar] [CrossRef]
- Bautista-Sánchez, R.; Barbosa-Santillan, L.I.; Sánchez-Escobar, J.J. Method for Select Best AIS Data in Prediction Vessel Movements and Route Estimation. Appl. Sci. 2021, 11, 2429. [Google Scholar] [CrossRef]
- Santiago, A.; Terán-Villanueva, J.D.; Martínez, S.I.; Rocha, J.A.C.; Menchaca, J.L.; Berrones, M.G.T.; Ponce-Flores, M. GRASP and Iterated Local Search-Based Cellular Processing algorithm for Precedence-Constraint Task List Scheduling on Heterogeneous Systems. Appl. Sci. 2020, 10, 7500. [Google Scholar] [CrossRef]
- Velarde Martinez, A. Scheduling in Heterogeneous Distributed Computing Systems Based on Internal Structure of Parallel Tasks Graphs with Meta-Heuristics. Appl. Sci. 2020, 10, 6611. [Google Scholar] [CrossRef]
- Mendez, E.; Macias, I.; Ortiz, A.; Ponce, P.; Vargas-Martinez, A.; Lozoya-Santos, J.d.J.; Ramirez-Mendoza, R.A.; Morales-Menendez, R.; Molina, A. Novel Design Methodology for DC-DC Converters Applying Metaheuristic Optimization for Inductance Selection. Appl. Sci. 2020, 10, 4377. [Google Scholar] [CrossRef]
- Moreno Escobar, J.J.; Morales Matamoros, O.; Tejeida Padilla, R.; Lina Reyes, I.; Chanona Hernández, L.; Ramírez Gutiérrez, A.G. Brain-Inspired Healthcare Smart System Based on Perception-Action Cycle. Appl. Sci. 2020, 10, 3532. [Google Scholar] [CrossRef]
- Naghshvarianjahromi, M.; Kumar, S.; Deen, M.J. Natural Brain-Inspired Intelligence for Non-Gaussian and Nonlinear Environments with Finite Memory. Appl. Sci. 2020, 10, 1150. [Google Scholar] [CrossRef] [Green Version]
- Hurst-Tarrab, N.; Chang, L.; Gonzalez-Mendoza, M.; Hernandez-Gress, N. Robust Parking Block Segmentation from a Surveillance Camera Perspective. Appl. Sci. 2020, 10, 5364. [Google Scholar] [CrossRef]
- Ochoa-Ruiz, G.; Angulo-Murillo, A.A.; Ochoa-Zezzatti, A.; Aguilar-Lobo, L.M.; Vega-Fernández, J.A.; Natraj, S. An Asphalt Damage Dataset and Detection System Based on RetinaNet for Road Conditions Assessment. Appl. Sci. 2020, 10, 3974. [Google Scholar] [CrossRef]
- Flores-López, J.A.; Flores-Pulido, L.; Jaramillo-Quintero, L.P.; Sánchez-Pérez, C.R. Smart Classification Paradigms for Protein Samples from 1-D Electrophoresis Gel. Appl. Sci. 2020, 10, 5059. [Google Scholar] [CrossRef]
- López-Ortega, O.; Pérez-Cortés, O.; Castillejos-Fernández, H.; Castro-Espinoza, F.-A.; González-Mendoza, M. Written Documents Analyzed as Nature-Inspired Processes: Persistence, Anti-Persistence, and Random Walks—We Remember, as Along Came Writing—T. Holopainen. Appl. Sci. 2020, 10, 6354. [Google Scholar] [CrossRef]
- Xiao, L.; Hu, X.; Chen, Y.; Xue, Y.; Gu, D.; Chen, B.; Zhang, T. Targeted Sentiment Classification Based on Attentional Encoding and Graph Convolutional Networks. Appl. Sci. 2020, 10, 957. [Google Scholar] [CrossRef] [Green Version]
- Hribersek, M.; Berus, L.; Pusavec, F.; Klancnik, S. Empirical Modeling of Liquefied Nitrogen Cooling Impact during Machining Inconel 718. Appl. Sci. 2020, 10, 3603. [Google Scholar] [CrossRef]
- De Campos Souza, P.V.; Batista de Oliveira, L.; Ferreira do Nascimento, L.A., Jr. Fuzzy Rules to Help Predict Rains and Temperatures in a Brazilian Capital State Based on Data Collected from Satellites. Appl. Sci. 2019, 9, 5476. [Google Scholar] [CrossRef] [Green Version]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Ponce, H.; Martínez-Villaseñor, L.; González-Mendoza, M.; Fonseca, P.A. Special Issue on Interdisciplinary Artificial Intelligence: Methods and Applications of Nature-Inspired Computing. Appl. Sci. 2022, 12, 7279. https://doi.org/10.3390/app12147279
Ponce H, Martínez-Villaseñor L, González-Mendoza M, Fonseca PA. Special Issue on Interdisciplinary Artificial Intelligence: Methods and Applications of Nature-Inspired Computing. Applied Sciences. 2022; 12(14):7279. https://doi.org/10.3390/app12147279
Chicago/Turabian StylePonce, Hiram, Lourdes Martínez-Villaseñor, Miguel González-Mendoza, and Pablo A. Fonseca. 2022. "Special Issue on Interdisciplinary Artificial Intelligence: Methods and Applications of Nature-Inspired Computing" Applied Sciences 12, no. 14: 7279. https://doi.org/10.3390/app12147279
APA StylePonce, H., Martínez-Villaseñor, L., González-Mendoza, M., & Fonseca, P. A. (2022). Special Issue on Interdisciplinary Artificial Intelligence: Methods and Applications of Nature-Inspired Computing. Applied Sciences, 12(14), 7279. https://doi.org/10.3390/app12147279