Enhanced Arithmetic Optimization Algorithm for Parameter Estimation of PID Controller [0.03%]
增强的算术优化算法用于PID控制器参数估计
Mohamed Issa
Mohamed Issa
The Proportional-Integral-Derivative (PID) controller is a key component in most engineering applications. The main disadvantage of PID is the selection of the best values for its parameters using traditional methods that do not achieve the...
Characteristics-Based Framework of Effective Automated Monitoring Parameters in Construction Projects [0.03%]
基于特征的施工项目有效自动化监测参数框架
Abdul Hannan Qureshi,Wesam Salah Alaloul,Wong Kai Wing et al.
Abdul Hannan Qureshi et al.
The construction industry is moving toward digitalization, and technologies support various construction processes. In the automated construction progress monitoring domain, several modern progress measurement techniques have been introduce...
Design and Development of Best Class Discrete Production Model for Distributed Manufacturing under Industry 4.0 [0.03%]
面向工业4.0分布式制造的最佳类离散生产模型的设计与开发
Usman A Akbar,Samir Mekid,Omar Alsawafy et al.
Usman A Akbar et al.
Global competitiveness creates a challenge for manufacturing companies to maintain their market share with dynamic customer requirements. Capital investment in machinery does not allow facility expansion to accommodate large orders from cus...
Strategic Inventory Management of Deteriorating Products with Demand Disruptions [0.03%]
需求扰动下的易逝品战略库存管理
Narges Khanlarzade,Babak Yousefi Yegane
Narges Khanlarzade
The retailer's strategic inventory management can convince the supplier to present lower wholesale prices in later orders. In practice, there are always unavoidable factors that cause disruption in the supply chain with undeniable impacts o...
Deep Content Information Retrieval for COVID-19 Detection from Chromatic CT Scans [0.03%]
基于彩色CT扫描的COVID-19检测深度内容信息检索
Ameni Sassi,Wael Ouarda,Chokri Ben Amar
Ameni Sassi
In this paper, we investigate the role of the chromatic information in CT scans in COVID-19 detection and we aim to confirm the inclusion of the artificial intelligence findings in assisting COVID-19 diagnosis. This paper proposes a freezin...
A Hybrid Method for Customer Segmentation in Saudi Arabia Restaurants Using Clustering, Neural Networks and Optimization Learning Techniques [0.03%]
混合方法：使用聚类、神经网络和优化学习技术对沙特阿拉伯餐馆进行客户细分
Abdullah Alghamdi
Abdullah Alghamdi
Dining out is one of the biggest expenditures for travelers worldwide and is essential for tourism-dependent destinations. Market segmentation gives industries the potential to classify similar customers and categorize their preferred targe...
Is the Corpus Ready for Machine Translation? A Case Study with Python to Pseudo-Code Corpus [0.03%]
语料库可以用于机器翻译吗？从Python到伪代码语料库的实证研究
Sawan Rai,Ramesh Chandra Belwal,Atul Gupta
Sawan Rai
The availability of data is the driving force behind most of the state-of-the-art techniques for machine translation tasks. Understandably, this availability of data motivates researchers to propose new techniques and claim about the superi...
Seed Community Identification Framework for Community Detection over Social Media [0.03%]
社交媒介社区检测的种子社区识别框架
Sumit Kumar Gupta,Dhirendra Pratap Singh
Sumit Kumar Gupta
The social media podium offers a communal perspective platform for web marketing, advertisement, political campaign, etc. It structures like-minded end-users over the explicit group as a community. Community structure over social media is t...
Efficient Storage and Encryption of 32-Slice CT Scan Images Using Phase Grating [0.03%]
基于相位光栅的32层CT图像高效存储及加密方法研究
Anirban Patra,Arijit Saha,Kallol Bhattacharya
Anirban Patra
Medical images are treated as sensitive as it carries patients' confidential information and hence must be protected from unauthorized access. So, a strong encryption mechanism is a primary criterion to transmit these images over the intern...
Forecasting Short-Term Electricity Load with Combinations of Singular Spectrum Analysis [0.03%]
基于组合ssa的短期电力负荷预测方法研究
Xiaobo Zhang
Xiaobo Zhang
Accurate electricity demand forecasting can provide a timely and effective reference for economic control and facilitate the secure production and operation of power systems. However, electricity data are well known for their nonlinearity a...