Results 101 to 110 of about 36,380 (225)

DNA metabarcoding reveals wolf dietary patterns in the northern Alps and Jura Mountains

Wildlife Biology, EarlyView.
Understanding predator–prey interactions is crucial for wildlife management and human–wildlife coexistence, particularly in multi‐use landscapes such as western Europe. As wolves Canis lupus recolonize their former habitats, knowledge of their diet is essential for conservation, management and public acceptance.
Florin Kunz, Eduard Mas‐Carrió, Philippine Surer, Fridolin Zimmermann, Philippe Christe, Luca Fumagalli, Nina Gerber   +6 more
wiley   +1 more source

Electromagnetic cloak design with mono-objective and bi-objective optimizers: seeking the best tradeoff between protection and invisibility

EPJ Applied Metamaterials
We revisit the design of cloaks, without resorting to any geometric transform. Cancellation techniques and anomalous resonances have been applied for this purpose. Instead of a deductive reasoning, we propose a novel mono-objective optimization algorithm,
Aznavourian Ronald, Demesy Guillaume, Guenneau Sébastien, Marot Julien   +3 more
doaj   +1 more source

A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis, Abed Alanazi, Shtwai Alsubai, Areej Alasiry, Mehrez Marzougui, Abdullah Alqahtani, Mohemmed Sha, Muhammad Aslam   +7 more
wiley   +1 more source

Fault Diagnosis of Power Transformer Based on Extreme Learning Machine Optimized by Improved Grey Wolf Optimization

Journal of Applied Science and Engineering
For power transformers, the gas content in oil is used as the fault input feature quantity, and the accuracy of diagnosis results is not satisfactory. The problem of low accuracy of optimized extreme learning machine (ELM) of grey wolf optimization (GWO)
Yong Xu, Xiaojuan Lu, Yuhang Zhu, Jiawei Wei, Dan Liu, Jianchong Bai   +5 more
doaj   +1 more source

Continuous testing for Poisson process intensities: A new perspective on scanning statistics

, 2017
We propose a novel continuous testing framework to test the intensities of Poisson Processes. This framework allows a rigorous definition of the complete testing procedure, from an infinite number of hypothesis to joint error rates.
Picard, Franck, Reynaud-Bouret, Patricia, Roquain, Etienne   +2 more
core   +3 more sources

Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics.
Tianyu Hu, Shihao Zhao, Yuanjun Guo, Linxin Zhang, Zhile Yang   +4 more
wiley   +1 more source

Optimization of Thermal Efficiency and Unburned Carbon in Fly Ash of Coal-Fired Utility Boiler via Grey Wolf Optimizer Algorithm

IEEE Access, 2019
This paper focuses on improving thermal efficiency and reducing unburned carbon in fly ash by optimizing operating parameters via a novel high-efficient swarm intelligence optimization algorithm (grey wolf optimizer algorithm, GWO) for coal-fired boiler.
Yiding Zhao, Qinghe Wu, Heng Li, Shuhua Ma, Ping He, Jun Zhao, Yangmin Li   +6 more
doaj   +1 more source

Data clustering using a model granular magnet

, 1997
We present a new approach to clustering, based on the physical properties of an inhomogeneous ferromagnet. No assumption is made regarding the underlying distribution of the data.
Blatt, Marcelo, Domany, Eytan, Wiseman, Shai   +2 more
core   +2 more sources

Multi-strategy Integrated Grey Wolf Optimization Algorithm

Abstract The grey wolf optimizer (GWO) has gained significant recognition in metaheuristic research owing to its straightforward implementation and minimal parameter configuration requirements. Nevertheless, conventional GWO implementations exhibit limitations in addressing complex optimization challenges, particularly premature convergence ...
Xiaozeng Xu, Xinyuan Gao, Bo Zeng, Liming Zou   +3 more
openaire   +1 more source

Feature Selection using MultiObjective Grey Wolf Optimization Algorithm

, 2019
Multi Objective Grey wolf Optimization is one a meta-heuristic technique. The MOGWO has recently gained a huge research interest from numerous domains due to its impressive characteristics over other meta-heuristics optimization techniques: it has less parameters, derivation information is not required in the initial stage, scalable, flexible, easy to ...
Gupta, Deepak, Verma, Nimish, Sehgal, Mayank, Nitesh   +3 more
openaire   +1 more source