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  • Open Access

    ARTICLE

    Neuro-Based Higher Order Sliding Mode Control for Perturbed Nonlinear Systems

    Ahmed M. Elmogy1,2,*, Wael M. Elawady2

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 385-400, 2023, DOI:10.32604/iasc.2023.032349 - 29 September 2022

    Abstract One of the great concerns when tackling nonlinear systems is how to design a robust controller that is able to deal with uncertainty. Many researchers have been working on developing such type of controllers. One of the most efficient techniques employed to develop such controllers is sliding mode control (SMC). However, the low order SMC suffers from chattering problem which harm the actuators of the control system and thus unsuitable to be used in many practical applications. In this paper, the drawbacks of low order traditional sliding mode control (FOTSMC) are resolved by presenting a… More >

  • Open Access

    ARTICLE

    Resilient Service Authentication for Smart City Application Using IoT

    Gokulakannan Elamparithi*

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 145-152, 2023, DOI:10.32604/iasc.2023.032036 - 29 September 2022

    Abstract Internet of Things (IoT) support for smart city systems improves service scales by ignoring various user congestion. People are looking for different security features for reliable and robust applications. Here, the Permanent Denial of Service (PDoS) problem arises from improper user identification. This article introduces the Service-Reliant Application Authentication (SRAA) to prevent PDoS attacks in a smart area of the city. In this authentication method, the security of the application is ensured through the distribution of guarded access. The supervised access distribution uses user interface features and sync with the user device. Abnormality in linking More >

  • Open Access

    ARTICLE

    Mobility Aware Zone-Based Routing in Vehicle Ad hoc Networks Using Hybrid Metaheuristic Algorithm

    C. Nandagopal1,*, P. Siva Kumar2, R. Rajalakshmi3, S. Anandamurugan4

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 113-126, 2023, DOI:10.32604/iasc.2023.031103 - 29 September 2022

    Abstract Vehicle Ad hoc Networks (VANETs) have high mobility and a randomized connection structure, resulting in extremely dynamic behavior. Several challenges, such as frequent connection failures, sustainability, multi-hop data transfer, and data loss, affect the effectiveness of Transmission Control Protocols (TCP) on such wireless ad hoc networks. To avoid the problem, in this paper, mobility-aware zone-based routing in VANET is proposed. To achieve this concept, in this paper hybrid optimization algorithm is presented. The hybrid algorithm is a combination of Ant colony optimization (ACO) and artificial bee colony optimization (ABC). The proposed hybrid algorithm is designed for… More >

  • Open Access

    ARTICLE

    Smart Lung Tumor Prediction Using Dual Graph Convolutional Neural Network

    Abdalla Alameen*

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 369-383, 2023, DOI:10.32604/iasc.2023.031039 - 29 September 2022

    Abstract A significant advantage of medical image processing is that it allows non-invasive exploration of internal anatomy in great detail. It is possible to create and study 3D models of anatomical structures to improve treatment outcomes, develop more effective medical devices, or arrive at a more accurate diagnosis. This paper aims to present a fused evolutionary algorithm that takes advantage of both whale optimization and bacterial foraging optimization to optimize feature extraction. The classification process was conducted with the aid of a convolutional neural network (CNN) with dual graphs. Evaluation of the performance of the fused… More >

  • Open Access

    ARTICLE

    Early Detection of Autism in Children Using Transfer Learning

    Taher M. Ghazal1,2, Sundus Munir3,4, Sagheer Abbas3, Atifa Athar5, Hamza Alrababah1, Muhammad Adnan Khan6,*

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 11-22, 2023, DOI:10.32604/iasc.2023.030125 - 29 September 2022

    Abstract Autism spectrum disorder (ASD) is a challenging and complex neuro-development syndrome that affects the child’s language, speech, social skills, communication skills, and logical thinking ability. The early detection of ASD is essential for delivering effective, timely interventions. Various facial features such as a lack of eye contact, showing uncommon hand or body movements, babbling or talking in an unusual tone, and not using common gestures could be used to detect and classify ASD at an early stage. Our study aimed to develop a deep transfer learning model to facilitate the early detection of ASD based More >

  • Open Access

    ARTICLE

    A Cross-Domain Trust Model of Smart City IoT Based on Self-Certification

    Yao Wang1, Yubo Wang1, Zhenhu Ning1,*, Sadaqat ur Rehman2, Muhammad Waqas1,3

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 981-996, 2023, DOI:10.32604/iasc.2023.030091 - 29 September 2022

    Abstract Smart city refers to the information system with Internet of things and cloud computing as the core technology and government management and industrial development as the core content, forming a large-scale, heterogeneous and dynamic distributed Internet of things environment between different Internet of things. There is a wide demand for cooperation between equipment and management institutions in the smart city. Therefore, it is necessary to establish a trust mechanism to promote cooperation, and based on this, prevent data disorder caused by the interaction between honest terminals and malicious terminals. However, most of the existing research… More >

  • Open Access

    ARTICLE

    A Novel ANFIS Based SMC with Fractional Order PID Controller

    A. Jegatheesh1,*, M. Germin Nisha2, N. Kopperundevi3

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 745-760, 2023, DOI:10.32604/iasc.2023.028011 - 29 September 2022

    Abstract Interacting The highest storage capacity of a circular tank makes it popular in process industries. Because of the varying surface area of the cross-sections of the tank, this two-tank level system has nonlinear characteristics. Controlling the flow rate of liquid is one of the most difficult challenges in the production process. This proposed effort is critical in preventing time delays and errors by managing the fluid level. Several scholars have explored and explored ways to reduce the problem of nonlinearity, but their techniques have not yielded better results. Different types of controllers with various techniques… More >

  • Open Access

    ARTICLE

    Molecular characterization of sweet potato (Ipomoea batatas [L.] Lam) germplasms for desirable traits by using simple sequence repeats markers

    KHANDAKAR ABU MD MOSTAFIZAR RAHMAN1,2, ABDUL SHUKOR JURAIMI2,*, MD. REZWAN MOLLA3, MUHAMMAD ASYRAF MD HATTA4, ZULKEFLY BIN SULAIMAN5, SHAMIMA SULTANA6, AHMED GABER7, BENUKAR BISWAS8, AKBAR HOSSAIN9,*

    BIOCELL, Vol.47, No.1, pp. 227-237, 2023, DOI:10.32604/biocell.2023.025135 - 26 September 2022

    Abstract Every breeding program that aims to create new and improved cultivars with desired traits mostly relies on information related to genetic diversity. Therefore, molecular characterization of germplasms is important to obtain target cultivars with desirable traits. Sweet potato [Ipomoea batatas (L.) Lam] is widely considered the world’s most important crop, with great diversity in morphological and phenotypic traits. The genetic diversity of 20 sweet potato germplasms originating from Bangladesh, CIP, Philippines, Taiwan, and Malaysia were compared, which was accomplished by genetic diversity analysis by exploring 20 microsatellite DNA markers for germplasm characterization and utilization. This information… More >

  • Open Access

    REVIEW

    Drosophila melanogaster as an indispensable model to decipher the mode of action of neurotoxic compounds

    MONALISA MISHRA1,2,*, PUNYATOYA PANDA1, BEDANTA KUMAR BARIK1, AMRITA MONDAL1, MRUTUNJAYA PANDA1

    BIOCELL, Vol.47, No.1, pp. 51-69, 2023, DOI:10.32604/biocell.2022.023392 - 26 September 2022

    Abstract Exposure to some toxic compounds causes structural and behavioral anomalies associated with the neurons in the later stage of life. Those toxic compounds are termed as a neurotoxicant, which can be a physical factor, a toxin, an infection, radiation, or maybe a drug. The incongruities caused due to a neurotoxicant further depend on the toxicity of the compound. More importantly, the neurotoxicity of the compound is associated with the concentration and the time point of exposure. The neurodevelopmental defect appears depending on the toxicity of the compound. A neurodevelopmental defect may be associated with a More >

  • Open Access

    ARTICLE

    The transcriptome analysis of cleft lip/palate-related PTCH1 variants in GMSM-K cells show carcinogenic potential

    MINGZHAO LI1, QIAN ZHANG2, WENBIN HUANG1, SHIYING ZHANG1, NAN JIANG2, XIAOSHUAI HUANG3,*, FENG CHEN2,*

    BIOCELL, Vol.47, No.1, pp. 205-214, 2023, DOI:10.32604/biocell.2022.022572 - 26 September 2022

    Abstract Cancer progression involves the sonic hedgehog (SHH) pathway, in which the receptor PTCH1 actives the downstream pathways. Dysfunction of PTCH1 can lead to nevoid basal cell carcinoma Syndrome (NBCCs) including neoplastic disease and congenital disorder. To evaluate the relationship between PTCH1 and cancer, we applied the CRISPR/Cas9 system to knock out PTCH1 in oral nontumorous epithelial cells (GMSM-K). Then we screened six PTCH1 variants associated with cleft lip/palate (CL/P), one of the congenital disorders in NBCCs, and generated PTCH1 variant and wild-type recombinant PTCH1−/− GMSM-K cell lines. Transcriptome sequencing was conducted in these cell lines. The… More >

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