Kunkun Wang^1,2, Xianda Liu^2,3,4,*

Journal on Artificial Intelligence, Vol.3, No.1, pp. 9-19, 2021, DOI:10.32604/jai.2021.016706 - 02 April 2021

Abstract With the development of Internet technology, the computing power of data has increased, and the development of machine learning has become faster and faster. In the industrial production of industrial control systems, quality inspection and safety production of process products have always been our concern. Aiming at the low accuracy of anomaly detection in process data in industrial control system, this paper proposes an anomaly detection method based on stacking integration using the machine learning algorithm. Data are collected from the industrial site and processed by feature engineering. Principal component analysis (PCA) and integrated rule… More >

Ruixin Zhao^1,*, Zhongju Feng¹, Guan Jiang¹, Fuchun Wang¹, Yidong Zhang², Changan Zhang³, Zhenbing Wang¹

FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.2, pp. 441-453, 2021, DOI:10.32604/fdmp.2021.010595 - 02 April 2021

Abstract The present study examines the working conditions of fully grouted bolts used for the construction and expansion of high slopes. On the basis of a pull out destructive test, the work load and the ultimate load are obtained on site, and the Flac3d numerical simulation method is employed to determine the axial force distribution and the effective anchor length. The test results show that (1) the Q-S (load-displacement) curve of the bolt displays a certain degree of deformation coupled with the creep of the surrounding rock; (2) the working load of the bolt is closely More >

Abdalla Alameen^*

Intelligent Automation & Soft Computing, Vol.28, No.2, pp. 593-602, 2021, DOI:10.32604/iasc.2021.016950 - 01 April 2021

Abstract It is forecasted that billions of Internet of Things (IoT) and sensor devices will be installed worldwide by 2020. These devices can provide infrastructure-based services for various applications such as in smart hospitals, smart industry, smart grids, and smart industrial towns. Among them, the hospital service system needs to authenticate devices, and medical data are recorded for diagnostic purposes. In general, digital signatures are employed, but the computational power and their huge numbers pose many challenges to the digital signature system. To solve such problems, we developed a ledger system for authenticating IoT medical devices.… More >

Yang Wu¹, Lihong Xu^1,*, Erik D. Goodman²

Intelligent Automation & Soft Computing, Vol.28, No.2, pp. 561-576, 2021, DOI:10.32604/iasc.2021.016415 - 01 April 2021

Abstract Deep convolutional neural network (DCNN) requires a lot of data for training, but there has always been data vacuum in agriculture, making it difficult to label all existing data accurately. Therefore, a lightweight tomato leaf disease identification network supported by Variational auto-Encoder (VAE) is proposed to improve the accuracy of crop leaf disease identification. In the lightweight network, multi-scale convolution can expand the network width, enrich the extracted features, and reduce model parameters such as deep separable convolution. VAE makes full use of a large amount of unlabeled data to achieve unsupervised learning, and then… More >

Sarah Chaudhry¹, Fakhra Batool¹, Abdul Hafeez Muhammad¹, Ansar Siddique^2,*

Intelligent Automation & Soft Computing, Vol.28, No.2, pp. 379-395, 2021, DOI:10.32604/iasc.2021.016263 - 01 April 2021

Abstract Information and Communications Technology (ICT) has revolutionized the healthcare leading to provision of eHealth facilities remotely. During the peak time of COVID-19, as the long queues at health care facilities can result in spread of the virus. ICT can play an effective role especially for reducing the extended waiting time of patients to consult a medical practitioner which is considered as a source of hazard during the pandemic. However, in developing countries where majority population is semiliterate so find difficulty when come into contact with appointment systems which are not particularly designed keeping in consideration… More >

Jamal Kh-Madhloom^1,2,*, Mohd Khanapi Abd Ghani¹, Mohd Rizuan Baharon¹

Intelligent Automation & Soft Computing, Vol.28, No.2, pp. 493-512, 2021, DOI:10.32604/iasc.2021.015129 - 01 April 2021

Abstract Over the decades, protecting the privacy of a health cloud using the design of a fog computing network is a very important field and will be more important in the near future. Current Internet of Things (IoT) research includes security and privacy due to their extreme importance in any growing technology that involves the implementation of cryptographic Internet communications (ICs) for protected IC applications such as fog computing and cloud computing devices. In addition, the implementation of public-key cryptography for IoT-based DNA sequence testing devices requires considerable expertise. Any key can be broken by using… More >

Issam Alhadid¹, Hassan Tarawneh², Khalid Kaabneh², Ra’ed Masa’deh³, Nawaf N. Hamadneh^4,*, Muhammad Tahir⁵, Sufian Khwaldeh¹

Intelligent Automation & Soft Computing, Vol.28, No.2, pp. 321-336, 2021, DOI:10.32604/iasc.2021.014892 - 01 April 2021

Abstract

Service Oriented Architecture (SOA) is a style of software design where Web Services (WS) provide services to the other components through a communication protocol over a network. WS components are managed, updated, and rearranged at runtime to provide the business processes as SCs, which consist of a set of WSs that can be invoked in a specific order to fulfill the clients’ requests. According to the Service Level Agreement (SLA) requirements, WS selection and composition are significant perspectives of research to meet the clients’ expectations. This paper presents an effective technique using SMFS that attempts to

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Sameer I. Ali Al-Janabi¹, Belal Al-Khateeb^2,*, Maha Mahmood², Begonya Garcia-Zapirain³

Intelligent Automation & Soft Computing, Vol.28, No.2, pp. 293-303, 2021, DOI:10.32604/iasc.2021.014419 - 01 April 2021

Abstract The recent novel coronavirus (COVID-19, as the World Health Organization has called it) has proven to be a source of risk for global public health. The virus, which causes an acute respiratory disease in persons, spreads rapidly and is now threatening more than 150 countries around the world. One of the essential procedures that patients with COVID-19 need is an accurate and rapid screening process. In this research, utilizing the features of deep learning methods, we present a method for detecting COVID-19 and a screening model that uses pulmonary computed tomography images to differentiate COVID-19 More >

Xianqing Chen^1,2, Yan Yan^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 325-343, 2021, DOI:10.32604/cmes.2021.014489 - 30 March 2021

Abstract Alcoholism is an unhealthy lifestyle associated with alcohol dependence. Not only does drinking for a long time leads to poor mental health and loss of self-control, but alcohol seeps into the bloodstream and shortens the lifespan of the body’s internal organs. Alcoholics often think of alcohol as an everyday drink and see it as a way to reduce stress in their lives because they cannot see the damage in their bodies and they believe it does not affect their physical health. As their drinking increases, they become dependent on alcohol and it affects their daily More >

Chunlei Zhang^1,2,3,*, Y. P. Chugh², Ruimin Feng⁴, Yong Zhang⁵, Wei Shen¹, Jingke Wu¹, Yushun Yang¹

CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 135-157, 2021, DOI:10.32604/cmes.2021.014665 - 30 March 2021

Abstract Extraction of a protective coal seam (PVCS)-below or above a coal seam to be mined with the potential of coal and gas outburst risk-plays an important role not only in decreasing the stress field in the surrounding rock mass but also in increasing the gas desorption capacity and gas flow permeability in the protected coal seam (PTCS). The PVCS is mined to guarantee the safe mining of the PTCS. This study has numerically evaluated the stress redistribution effects using FLAC3D model for a longwall face in Shanxi Province. The effects of mining depth, mining height… More >