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

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 the requirements of semiliterate users.… More >

Johnson Kinyua¹, Lawrence Awuah^2,*

Intelligent Automation & Soft Computing, Vol.28, No.2, pp. 527-545, 2021, DOI:10.32604/iasc.2021.016240

Abstract Today’s cyber defense capabilities in many organizations consist of a diversity of tools, products, and solutions, which are very challenging for Security Operations Centre (SOC) teams to manage in current advanced and dynamic cyber threat environments. Security researchers and industry practitioners have proposed security orchestration, automation, and response (SOAR) solutions designed to integrate and automate the disparate security tasks, processes, and applications in response to security incidents to empower SOC teams. The next big step for cyber threat detection, mitigation, and prevention efforts is to leverage AI/ML in SOAR solutions. AI/ML will act as a force multiplier empowering SOC analysts… More >

Syed Tauseef Saeed¹, Muhammad Bilal Riaz^2,3, Dumitru Baleanu^4,5,7,*, Ali Akgül⁶, Syed Muhammad Husnine¹

Intelligent Automation & Soft Computing, Vol.28, No.2, pp. 547-559, 2021, DOI:10.32604/iasc.2021.015982

Abstract Convective flow is a self-sustained flow with the effect of the temperature gradient. The density is non-uniform due to the variation of temperature. The effect of the magnetic flux plays a major role in convective flow. The process of heat transfer is accompanied by mass transfer process; for instance condensation, evaporation and chemical process. Due to the applications of the heat and mass transfer combined effects in different field, the main aim of this paper is to do comprehensive analysis of heat and mass transfer of MHD unsteady second-grade fluid in the presence of time dependent generalized boundary conditions. The… More >

Amjed Basil Abdulkareem¹, Nor Samsiah Sani^1,*, Shahnorbanun Sahran¹, Zaid Abdi Alkareem Alyessari¹, Afzan Adam¹, Abdul Hadi Abd Rahman¹, Abdulkarem Basil Abdulkarem²

Intelligent Automation & Soft Computing, Vol.28, No.2, pp. 305-320, 2021, DOI:10.32604/iasc.2021.015413

Abstract The coronavirus disease 2019 (COVID-19) has infected more than 50 million people in more than 100 countries, resulting in a major global impact. Many studies on the potential roles of environmental factors in the transmission of the novel COVID-19 have been published. However, the impact of environmental factors on COVID-19 remains controversial. Machine learning techniques have been used effectively in combating the COVID-19 epidemic. However, researches related to machine learning on weather conditions in spreading COVID-19 is generally lacking. Therefore, in this study, three machine learning models (Convolution Neural Network (CNN), ADtree Classifier and BayesNet) based on the confirmed cases… 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

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 a brute-force attack with ample… More >

Beenish Khan¹, Muhammad Rafiq Mufti², Asad Habib³, Humaira Afzal⁴, Mohammad Abdul Moiz Zia⁵, Afshan Almas⁶, Shahid Hussain^7,*, Bashir Ahmad¹

Intelligent Automation & Soft Computing, Vol.28, No.2, pp. 337-352, 2021, DOI:10.32604/iasc.2021.015034

Abstract The high turnover of developers in the Open-Source Software (OSS) systems is due to the lack of restriction on a developer’s involvement and contributions. The primary developers start and administer an OSS project. However, they do not manage those who contribute. The literature shows that 80% of issues are resolved by 20% of developers when developing an OSS. Therefore, identifying influential developer communities is quite necessary for OSS stakeholders to reduce the efforts required to solve the issue through releases and predict quality. The purpose of this proposed empirical study is to explore influential communities by analyzing the relationship between… More >

Mei Sun¹, Qingtao Li², Peiguang Lin^2,*

Intelligent Automation & Soft Computing, Vol.28, No.2, pp. 369-378, 2021, DOI:10.32604/iasc.2021.014962

Abstract Stocks are the key components of most investment portfolios. The accurate forecasting of stock prices can help investors and investment brokerage firms make profits or reduce losses. However, stock forecasting is complex because of the intrinsic features of stock data, such as nonlinearity, long-term dependency, and volatility. Moreover, stock prices are affected by multiple factors. Various studies in this field have proposed ways to improve prediction accuracy. However, not all of the proposed features are valid, and there is often noise in the features—such as political, economic, and legal factors—which can lead to poor prediction results. To overcome such limitations,… 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

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 improve the WS selection… More >

Abdul Ghaffar¹, Saad Alanazi², Madallah Alruwaili², Mian Usman Sattar³, Waqas Ali⁴, Memoona Humayun², Shahan Yamin Siddiqui^5,6, Fahad Ahmad⁷, Muhammad Adnan Khan^8,*

Intelligent Automation & Soft Computing, Vol.28, No.2, pp. 429-445, 2021, DOI:10.32604/iasc.2021.014685

Abstract Corona Virus (COVID-19) is a contagious disease. Unless an effective vaccine is available, various techniques such as lockdown, social distancing, or business Standard operating procedures (SOPs) must be implemented. Lockdown is an effective technique for controlling the spread of the virus, but it severely affects the economy of developing countries. No single technique for controlling a pandemic situation has ever returned a promising result; therefore, using a combination of techniques would be best for controlling COVID-19. The South asian association of regional corporation (SAARC), region contains populous and developing countries that have a unique social-cultural lifestyle that entails a higher… More >

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

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 pneumonia from healthy cases. In… More >