C. S. S. Anupama¹, L. Natrayan², E. Laxmi Lydia³, Abdul Rahaman Wahab Sait⁴, José Escorcia-Gutierrez⁵, Margarita Gamarra^6,*, Romany F. Mansour⁷

CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 1297-1313, 2022, DOI:10.32604/cmc.2022.018396 - 07 September 2021

Abstract Nowadays, quality improvement and increased accessibility to patient data, at a reasonable cost, are highly challenging tasks in healthcare sector. Internet of Things (IoT) and Cloud Computing (CC) architectures are utilized in the development of smart healthcare systems. These entities can support real-time applications by exploiting massive volumes of data, produced by wearable sensor devices. The advent of evolutionary computation algorithms and Deep Learning (DL) models has gained significant attention in healthcare diagnosis, especially in decision making process. Skin cancer is the deadliest disease which affects people across the globe. Automatic skin lesion classification model… More >

Nikita Jain¹, Vedika Gupta^1,*, Chinmay Chakraborty², Agam Madan¹, Deepali Virmani³, Lorenzo Salas-Morera⁴, Laura Garcia-Hernandez⁴

CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 213-231, 2022, DOI:10.32604/cmc.2022.016424 - 07 September 2021

Abstract COVID-19 has become one of the critical health issues globally, which surfaced first in latter part of the year 2019. It is the topmost concern for many nations’ governments as the contagious virus started mushrooming over adjacent regions of infected areas. In 1980, a vaccine called Bacillus Calmette-Guérin (BCG) was introduced for preventing tuberculosis and lung cancer. Countries that have made the BCG vaccine mandatory have witnessed a lesser COVID-19 fatality rate than the countries that have not made it compulsory. This paper’s initial research shows that the countries with a long-term compulsory BCG vaccination… More >

Omar A. Saraereh^1,*, Luae Al-Tarawneh², Ashraf Ali¹, Amani M. Al Hadidi³

Intelligent Automation & Soft Computing, Vol.31, No.1, pp. 607-619, 2022, DOI:10.32604/iasc.2022.020216 - 03 September 2021

Abstract The frequency range of the terahertz (THz) band is usually defined as 0.3~3.0 THz, and some scholars have also extended it to 0.1~10 THz. THz technology has the characteristics of low photon radiation energy and rich spectrum information, and the THz band contains the vibration and rotation resonance frequencies of many material macromolecules, which can realize fingerprint detection. Therefore, THz technology has great academic value and a wide range of applications in basic research and applied science. Application prospects, such as THz spectroscopy technology provides a new means for studying the interaction between electromagnetic waves… More >

Taher M. Ghazal^1,2, Sajida Noreen³, Raed A. Said⁴, Muhammad Adnan Khan^5,*, Shahan Yamin Siddiqui^3,6, Sagheer Abbas³, Shabib Aftab³, Munir Ahmad³

Intelligent Automation & Soft Computing, Vol.31, No.1, pp. 539-553, 2022, DOI:10.32604/iasc.2022.019658 - 03 September 2021

Abstract The usage of IoT-based smart meter in electric power consumption shows a significant role in helping the users to manage and control their electric power consumption. It produces smooth communication to build equitable electric power distribution for users and improved management of the entire electric system for providers. Machine learning predicting algorithms have been worked to apply the electric efficiency and response of progressive energy creation, transmission, and consumption. In the proposed model, an IoT-based smart meter uses a support vector machine and deep extreme machine learning techniques for professional energy management. A deep extreme More >

Mohd Nadeem¹, Jehad F. Al-Amri², Ahmad F. Subahi³, Adil Hussain Seh¹, Suhel Ahmad Khan⁴, Alka Agrawal¹, Raees Ahmad Khan^1,*

Intelligent Automation & Soft Computing, Vol.31, No.1, pp. 61-82, 2022, DOI:10.32604/iasc.2022.019624 - 03 September 2021

Abstract Present day healthcare sector is frequently victimized by the intruders. Healthcare data industry has borne the brunt of the highest number of data breach episodes in the last few years. The key reason for this is attributed to the sensitivity of healthcare data and the high costs entailed in trading the data over the dark web. Hence, usable-security evaluation of healthcare information systems is the need of hour so as to identify the vulnerabilities and provide preventive measures as a shield against the breaches. Usable-security assessment will help the software designers and developers to prioritize… More >

Sajid Habib Gill¹, Mirza Abdur Razzaq¹, Muneer Ahmad², Fahad M. Almansour³, Ikram Ul Haq⁴, NZ Jhanjhi^5,*, Malik Zaib Alam⁶, Mehedi Masud⁷

Intelligent Automation & Soft Computing, Vol.31, No.1, pp. 117-128, 2022, DOI:10.32604/iasc.2022.016597 - 03 September 2021

Abstract The trend of cloud computing is accelerating along with emerging technologies such as utility computing, grid computing, and distributed computing. Cloud computing is showing remarkable potential to provide flexible, cost-effective, and powerful resources across the internet, and is a driving force in today’s most prominent computing technologies. The cloud offers the means to remotely access and store data while virtual machines access data over a network resource. Furthermore, cloud computing plays a leading role in the fourth industrial revolution. Everyone uses the cloud daily life when accessing Dropbox, various Google services, and Microsoft Office 365.… More >

Islam Ali¹, Syed Muhammad Ali¹, Waqar Mehmood², Wasif Nisar¹, Muhammad Qaiser Saleem³, Majzoob K. Omer³, Mahmood Niazi⁴, Muhammad Shafiq⁵, Jin-Ghoo Choi^5,*

Intelligent Automation & Soft Computing, Vol.31, No.1, pp. 387-405, 2022, DOI:10.32604/iasc.2022.015955 - 03 September 2021

Abstract The Capability Maturity Model Integration (CMMI) is a renowned Software Process Improvement (SPI) framework. Research studies have revealed that CMMI adoption needs a lot of resources in terms of training, funds, and professional workers. However, the software SMEs (SSMEs) have few resources and cannot adopt CMMI. One of the challenges of adopting CMMI is that CMMI tells “What to do?” as requirements to be met, and leaves “How to do?” to the implementers. The software industry especially SSMEs faces difficulties in successfully implementing various process areas (PAs) particularly Configuration Management Process Area (CM-PA). SG-2 (Track… More >

Zaibo Zhou¹, Juanhong Liu^1,2,3,*, Kun Luo¹, Aixiang Wu^1,3, Hongjiang Wang^1,3

Journal of Renewable Materials, Vol.10, No.2, pp. 373-384, 2022, DOI:10.32604/jrm.2022.016380 - 30 August 2021

Abstract In order to reduce the influence of impurities in hemihydrate phosphogypsum(HPG) on the environment and improve the workability of HPG, the effects of the content of quicklime and types of biopolymer (hydroxypropyl methylcellulose, xanthan gum, sodium polyacrylate(PAANa)) on the compressive strength, softening coefficient and ultrasonic velocity of HPG were evaluated. When the content of quicklime was 1.5% and the content of PAANa was 0.2%, HPG had the best mechanical properties and workability, its water retention rate can be increased by 5.8%, and unconfined compressive strength of 3 days increased by 10.3% and 7 days increased More > Graphic Abstract

Mohammad Al Mojamed^*

Computer Systems Science and Engineering, Vol.40, No.1, pp. 259-272, 2022, DOI:10.32604/csse.2022.018458 - 26 August 2021

Abstract The Long-Range Wide Area Network (LoRaWAN) is one of the used communication systems that serve and enables the deployment of the Internet of Things (IoT), which occasionally transmit small size data. As part of the Low Power Wide Area Network (LPWAN), LoRaWAN is characterized by its ability for low power consumption. In addition, it is built to provide more extended coverage and higher capacity with minimum cost. In this paper, we investigate the feasibility and scalability of LoRaWAN for the Mina area using a realistic network model. Mina, known as the world’s largest tent city,… More >

Ziyan Yu¹, Cong Zhang^1,*, Naixue Xiong², Fang Chen¹

Computer Systems Science and Engineering, Vol.40, No.1, pp. 207-221, 2022, DOI:10.32604/csse.2022.018301 - 26 August 2021

Abstract As soil heavy metal pollution is increasing year by year, the risk assessment of soil heavy metal pollution is gradually gaining attention. Soil heavy metal datasets are usually imbalanced datasets in which most of the samples are safe samples that are not contaminated with heavy metals. Random Forest (RF) has strong generalization ability and is not easy to overfit. In this paper, we improve the Bagging algorithm and simple voting method of RF. A W-RF algorithm based on adaptive Bagging and weighted voting is proposed to improve the classification performance of RF on imbalanced datasets.… More >