Results 31 to 40 of about 1,991 (196)

Optimum Path Planning Using Dragonfly-Fuzzy Hybrid Controller for Autonomous Vehicle

open access: yesEng
Navigation poses a significant challenge for autonomous vehicles, prompting the exploration of various bio-inspired artificial intelligence techniques to address issues related to path generation, obstacle avoidance, and optimal path planning.
Brijesh Patel   +3 more
doaj   +1 more source

Credibilistic Mean-Semi-Entropy Model for Multi-Period Portfolio Selection with Background Risk

open access: yesEntropy, 2019
In financial markets, investors will face not only portfolio risk but also background risk. This paper proposes a credibilistic multi-objective mean-semi-entropy model with background risk for multi-period portfolio selection.
Jun Zhang, Qian Li
doaj   +1 more source

Hybrid Dragonfly Optimization-Based Artificial Neural Network for the Recognition of Epilepsy [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2019
Epilepsy can well be stated as a disorder of the central nervous systems (CNS) that brought about recurring seizures owing to chronic abnormal blasts of electrical discharge on the brain. Knowing if an individual is having a seizure and diagnosing the seizure type or epilepsy syndrome could be hard. Many methods were developed to recognize this disease.
K. G. Parthiban   +2 more
openaire   +2 more sources

Development of evolutionarily optimized random forest models to accurately estimate coke strength after reaction

open access: yesResults in Engineering
Accurate prediction of coke strength after reaction (CSR) is essential for optimizing coke quality in the metallurgical industry, thereby minimizing production costs and maximizing resource utilization.
Jamal I. Al-Nabulsi   +8 more
doaj   +1 more source

Mexican Axolotl Optimization: A Novel Bioinspired Heuristic

open access: yesMathematics, 2021
When facing certain problems in science, engineering or technology, it is not enough to find a solution, but it is essential to seek and find the best possible solution through optimization.
Yenny Villuendas-Rey   +4 more
doaj   +1 more source

Mechanically Mutable Matrices: A Hierarchical Investigation of Decellularized Sea Cucumber Collagen as an Adaptable Scaffold Material

open access: yesAdvanced Functional Materials, EarlyView.
Sea cucumber mutable collagenous tissue (MCT) is a remarkable collagen‐based material which can rapidly undergo large changes in stiffness through transiently bound effector proteins. Here, we investigate the hierarchical structure and mechanical response of MCT from Cucumaria frondosa across length scales with a wide range of methods, also exploring ...
Nathalie R. H. Singh   +7 more
wiley   +1 more source

Multimodal Locomotion in Insect‐Inspired Microrobots: A Review of Strategies for Aerial, Surface, Aquatic, and Interfacial Motion

open access: yesAdvanced Robotics Research, EarlyView.
This review identifies key design considerations for insect‐inspired microrobots capable of multimodal locomotion. To draw inspiration, biological and robotic strategies for moving in air, on water surfaces, and underwater are examined, along with approaches for crossing the air–water interface.
Mija Jovchevska   +2 more
wiley   +1 more source

BAOA: Binary Arithmetic Optimization Algorithm With K-Nearest Neighbor Classifier for Feature Selection

open access: yesIEEE Access, 2023
The Arithmetic Optimization Algorithm (AOA) is a recently proposed metaheuristic algorithm that has been shown to perform well in several benchmark tests.
Nima Khodadadi   +7 more
doaj   +1 more source

A Multimodal Magnetically Driven Soft Robot With Integrated Actuation‐Sensing Based on Photothermal Reprogramming Technology

open access: yesAdvanced Science, EarlyView.
This work reports a thermally safe, photothermally reprogrammable magnetic soft robot with its reprogramming temperature tuned to ∼39.5°C for biocompatibility. It achieves multimodal locomotion (max speed of 1.8 BL/s) and integrates liquid‐metal capacitive sensing to monitor self‐motion and detect environmental changes in simulated gastric environments,
Liu Yang   +5 more
wiley   +1 more source

Multi-Threshold Image Segmentation Based on the Improved Dragonfly Algorithm

open access: yesMathematics
In view of the problems that the dragonfly algorithm has, such as that it easily falls into the local optimal solution and the optimization accuracy is low, an improved Dragonfly Algorithm (IDA) is proposed and applied to Otsu multi-threshold image ...
Yuxue Dong, Mengxia Li, Mengxiang Zhou
doaj   +1 more source

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