Named entity recognition (NER) is a subfield of natural language processing (NLP). It able to identify proper nouns, such as person names, locations, and organizations, has been widely used in various tasks. NER can be practical extracting information from social media data. However, the unstructured noisy nature (such grammatical errors typos) causes new challenges for NER, especially low-reso...

It is a challenging task to accurately track the global maximum power point (GMPP) in changing environment widely used photovoltaic (PV) systems. So far, variety of (MPP) tracking algorithms have been solar PV The classical algorithm simple and fast speed effectively constant environment, but it can get stuck at an extreme variable environment. In this paper, variable-step incremental conductan...

Grey wolf optimizer (GWO) is a new technique, which can be applied successfully for solving optimized problems. The GWO indeed simulates the leadership hierarchy and hunting mechanism of grey wolves. There are four types of grey wolves which are alpha, beta, delta and omega. Those four types can be used for simulating the leadership hierarchy. In order to complete the process of GWO a three mai...

To address the problem of diagnostic accuracy and stability degradation caused by random selection initial parameters for wavelet neural network (WNN) fault diagnosis model, this paper proposes a troubleshooting model based on improved gray wolf algorithm (IGWO) network. First, convergence factor policy weight update are redesigned in IGWO algorithm. This study uses nonlinear to balance global ...

The grey wolf optimization (GWO) algorithm is widely utilized in many global applications. In this paper, a dynamic opposite learning-assisted optimizer (DOLGWO) was proposed to improve the search ability. Herein, learning (DOL) strategy adopted, which has an asymmetric space and can adjust with random point enhance exploitation exploration capabilities. To validate performance of DOLGWO algori...

Generally, off-line methods are used for surface roughness prediction of titanium alloy milling. However, studies show that these have poor accuracy. In order to resolve this shortcoming, a method based on Cloudera’s Distribution including Apache Hadoop (CDH) platform is proposed in the present study. regard, data analysis and process designed CDH, which can upload, calculate, store real time. ...

Artificial Neural Networks (ANNs) are utilized to solve a variety of problems in many domains. In this type network, training and selecting parameters that define networks architecture play an important role enhancing the accuracy network's output; Therefore, Prior training, those must be optimized. Grey Wolf Optimizer (GWO) has been considered one efficient developed approaches Swarm Intellige...

Background and Aim: One of the complex processes in the Ministry of Health and Medical Education in Iran is the process of registering pharmaceutical supplies. Currently the registration process is a multi-stage process, resulting in parallel services, a waste of time and unnecessary expenses. Therefore, an integrated system will improve the relevant service delivery. The purpose of this study ...

End-to-end obstacle avoidance path planning for intelligent vehicles has been a widely studied topic. To resolve the typical issues of solving algorithms, which are weak global optimization ability, ease in falling into local and slow convergence speed, an efficient method is proposed this paper, based on whale algorithm. We present adaptive adjustment mechanism can dynamically modify search be...