نتایج جستجو برای: moth flame optimization

تعداد نتایج: 340959  

Journal: :Wireless Personal Communications 2023

Wireless sensor network (WSN) plays a crucial role in the Internet of Things (IoTs), which assist to produce seamless information that have great impact on lifetime. Despite substantial application WSN numerous challenges like energy, load balancing, security, and storage exist. Energy efficacy is regarded as an integral part design WSN; this can be achieved by clustering multi-hop routing tech...

Journal: :ICST Transactions on Scalable Information Systems 2022

INTRODUCTION: In the online English learning platform, noise interference makes people unable to hear content of teaching clearly, which leads a great reduction in efficiency learning. order improve voice quality speech enhancement method platform based on deep neural network is studied.OBJECTIVES: This paper proposes network-based for obtain more desirable results application optimization.METH...

Journal: :Intelligent Automation and Soft Computing 2022

Underwater wireless sensor networks (UWSNs) are promising, emerging technologies for the applications in oceanic research. UWSN contains high number of nodes and autonomous underwater vehicles that deployed to perform data transmission sea. In networks, sensors placed buoyant which highly vulnerable selfish behavioural attack. this paper, major challenges finding secure optimal route navigation...

Journal: :Journal of Ambient Intelligence and Humanized Computing 2021

The phase balance and reconfiguration of the power distribution system is a dynamic analysis to improve manage radial system. Power loss in mainly central, considering point view money. In order reduce loss, different technologies are excluded reconstruction, capacitor layout balance. addition these three methods, unevenness system, considered one processes all those above. Unbalanced feeders d...

Journal: :Computers, materials & continua 2022

Extreme Learning Machine (ELM) is popular in batch learning, sequential and progressive due to its speed, easy integration, generalization ability. While, Traditional ELM cannot train massive data rapidly efficiently memory residence, high time space complexity. In ELM, the hidden layer typically necessitates a huge number of nodes. Furthermore, there no certainty that arrangement weights biase...

Journal: :Indonesian Journal of Electrical Engineering and Computer Science 2020

2013
Marieke Burghoorn Dorrit Roosen-Melsen Joris de Riet Sami Sabik Zeger Vroon Iryna Yakimets Pascal Buskens

Anti-reflective coatings (ARCs) are used to lower the reflection of light on the surface of a substrate. Here, we demonstrate that the two main drawbacks of moth eye-structured ARCs-i.e., the lack of suitable coating materials and a process for large area, high volume applications-can be largely eliminated, paving the way for cost-efficient and large-scale production of durable moth eye-structu...

Journal: :Evolving Systems 2022

Multilevel image thresholding and clustering, two extensively used processing techniques, have sparked renewed interest in recent years due to their wide range of applications. The approach yielding multiple threshold values for each color channel generate clustered segmented images appears be quite efficient it provides significant performance, although this method is computationally heavy. To...

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