Sulaiman Khan¹, Shah Nazir¹, Habib Ullah Khan^2,*

CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 895-915, 2021, DOI:10.32604/cmc.2021.013878

Abstract During the last decade the emergence of Internet of Things (IoT) based applications inspired the world by providing state of the art solutions to many common problems. From traffic management systems to urban cities planning and development, IoT based home monitoring systems, and many other smart applications. Regardless of these facilities, most of these IoT based solutions are data driven and results in small accuracy values for smaller datasets. In order to address this problem, this paper presents deep learning based hybrid approach for the development of an IoT-based intelligent home security and appliance control system in the smart cities.… More >

Yuqi Wang¹, Sujie Shao^1,*, Shaoyong Guo¹, Ruijun Chai¹, Feng Qi¹, Michel Kadoch²

Intelligent Automation & Soft Computing, Vol.27, No.1, pp. 287-298, 2021, DOI:10.32604/iasc.2021.013543

Abstract Electric power Internet of Things (IoT) is a network system that can meet multiple requirements of the power grid, such as infrastructure, environment recognition, interconnection, perception and control. Long Range Radio Wide Area Network (LoRaWAN) with the advantages of ultra-long transmission and ultra-low power consumption, becomes the most widely used protocol in the electric power IoT. However, its extremely simple star topology also leads to several problems. When most of terminals depend on one or several gateways for communication, the gateways with heavier communication tasks have poorer communication quality. The load of each gateway is unbalanced, which is hardly conducive… More >

Norah Saleh Alghamdi^1,*, Mohammad Ayoub Khan²

CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2509-2524, 2021, DOI:10.32604/cmc.2021.014180

Abstract Wireless sensor networks (WSNs) and Internet of Things (IoT) have gained more popularity in recent years as an underlying infrastructure for connected devices and sensors in smart cities. The data generated from these sensors are used by smart cities to strengthen their infrastructure, utilities, and public services. WSNs are suitable for long periods of data acquisition in smart cities. To make the networks of smart cities more reliable for sensitive information, the blockchain mechanism has been proposed. The key issues and challenges of WSNs in smart cities is efficiently scheduling the resources; leading to extending the network lifetime of sensors.… More >

Sushil Kumar Singh¹, Yi Pan², Jong Hyuk Park^1,*

CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2905-2922, 2021, DOI:10.32604/cmc.2021.014151

Abstract For the past few decades, the Internet of Things (IoT) has been one of the main pillars wielding significant impact on various advanced industrial applications, including smart energy, smart manufacturing, and others. These applications are related to industrial plants, automation, and e-healthcare fields. IoT applications have several issues related to developing, planning, and managing the system. Therefore, IoT is transforming into G-IoT (Green Internet of Things), which realizes energy efficiency. It provides high power efficiency, enhances communication and networking. Nonetheless, this paradigm did not resolve all smart applications’ challenges in edge infrastructure, such as communication bandwidth, centralization, security, and privacy.… More >

V. Priya¹, I. Sumaiya Thaseen¹, Thippa Reddy Gadekallu¹, Mohamed K. Aboudaif^2,*, Emad Abouel Nasr³

CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2457-2470, 2021, DOI:10.32604/cmc.2021.013852

Abstract Generally, the risks associated with malicious threats are increasing for the Internet of Things (IoT) and its related applications due to dependency on the Internet and the minimal resource availability of IoT devices. Thus, anomaly-based intrusion detection models for IoT networks are vital. Distinct detection methodologies need to be developed for the Industrial Internet of Things (IIoT) network as threat detection is a significant expectation of stakeholders. Machine learning approaches are considered to be evolving techniques that learn with experience, and such approaches have resulted in superior performance in various applications, such as pattern recognition, outlier analysis, and speech recognition.… More >

XIAOLIN ZHU^1,3, XIAOHONG WEI^1,3,*, BAOQIANG WANG^2,3, XIAN WANG², MINGJUN ZHANG⁴

BIOCELL, Vol.44, No.4, pp. 777-803, 2020, DOI:10.32604/biocell.2020.010153

Abstract AP2/ERE-type transcription factors, as a type of plant-specific transcription factors, play a key role in plant biotic and abiotic stress. Meanwhile, they have been studied in many plants, but rarely in tomatoes. In this study, we performed a genome-wide analysis of the SlAP2/ERF gene family of tomato, and finally identified 29 SlAP2/ERF genes and divided them into different subfamilies. At the same time, its basic physical and chemical properties were analyzed. We also constructed phylogenetic trees with 30 Arabidopsis AP2/ERF proteins and 28 potatoes AP2/ERF proteins to ensure conservative homology between them. In addition, we mapped 29 SlAP2/ERF transcription factors… More >

YUE CHEN¹, ZHITING TANG², MIAO YU¹, RUI ZHANG^1,*, XINXIN DONG¹, LIANQUN CAO¹

BIOCELL, Vol.44, No.4, pp. 513-524, 2020, DOI:10.32604/biocell.2020.09422

Abstract Preoperative chemoradiation therapy (CRT) is becoming the standard treatment for patients with locally advanced rectal cancer. However, individual differences in response to treatment range from a complete response to complete resistance. Predicting the tumor response to radiotherapy may improve the efficacy of radiotherapy. This review mainly summarizes recent studies about the molecular biomarkers that can predict the response to radiotherapy in rectal cancer. These studies have indicated that the molecular markers involved in the response to radiotherapy mainly include genes related to radiosensitivity, cancer stem cell-related markers, non-coding RNAs (ncRNAs), single-nucleotide polymorphisms (SNPs) and gene methylation, and other factors including… More >

Pingshui Wang^1,2,*, Willy Susilo²

Computer Systems Science and Engineering, Vol.36, No.1, pp. 213-224, 2021, DOI:10.32604/csse.2021.014541

Abstract With the development of information technology, the Internet of Things (IoT) has gradually become the third wave of the worldwide information industry revolution after the computer and the Internet. The application of the IoT has brought great convenience to people’s production and life. However, the potential information security problems in various IoT applications are gradually exposed and people pay more attention to them. The traditional centralized data storage and management model of the IoT is easy to cause transmission delay, single point of failure, privacy disclosure and other problems, and eventually leads to unpredictable behavior of the system. Blockchain technology… More >

Ahmad F. Subahi^*

Computer Systems Science and Engineering, Vol.36, No.1, pp. 13-39, 2021, DOI:10.32604/csse.2021.014376

Abstract This work presents the design of an Internet of Things (IoT) edge-based system based on model transformation and complete weighted graph to detect violations of social distancing measures in indoor public places. A wireless sensor network based on Bluetooth Low Energy is introduced as the infrastructure of the proposed design. A hybrid model transformation strategy for generating a graph database to represent groups of people is presented as a core middleware layer of the detecting system’s proposed architectural design. A Neo4j graph database is used as a target implementation generated from the proposed transformational system to store all captured real-time… More >

Majid Monajjemi^1,*, Rahim Esmkhani², Fatemeh Mollaamin¹, Sara Shahriari³

CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 907-926, 2020, DOI:10.32604/cmes.2020.012846

Abstract Current understanding about how the virus that causes COVID-19 spreads is largely based on what is known about similar coronaviruses. Some of the Natural products are suitable drugs against SARS-CoV-2 main protease. For recognizing a strong inhibitor, we have accomplished docking studies on the major virus protease with 4 natural product species as anti COVID-19 (SARS-CoV-2), namely “Vidarabine”, “Cytarabine”, “Gemcitabine” and “Matrine” which have been extracted from Gillan’s leaves plants. These are known as Chuchaq, Trshvash, Cote-Couto and Khlvash in Iran. Among these four studied compounds, Cytarabine appears as a suitable compound with high effectiveness inhibitors to this protease. Finally… More >