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  • Open Access

    ARTICLE

    A Secure Framework for WSN-IoT Using Deep Learning for Enhanced Intrusion Detection

    Chandraumakantham Om Kumar1,*, Sudhakaran Gajendran2, Suguna Marappan1, Mohammed Zakariah3, Abdulaziz S. Almazyad4

    CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2024.054966

    Abstract The security of the wireless sensor network-Internet of Things (WSN-IoT) network is more challenging due to its randomness and self-organized nature. Intrusion detection is one of the key methodologies utilized to ensure the security of the network. Conventional intrusion detection mechanisms have issues such as higher misclassification rates, increased model complexity, insignificant feature extraction, increased training time, increased run time complexity, computation overhead, failure to identify new attacks, increased energy consumption, and a variety of other factors that limit the performance of the intrusion system model. In this research a security framework for WSN-IoT, through… More >

  • Open Access

    ARTICLE

    Advancing PCB Quality Control: Harnessing YOLOv8 Deep Learning for Real-Time Fault Detection

    Rehman Ullah Khan1, Fazal Shah2,*, Ahmad Ali Khan3, Hamza Tahir2

    CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2024.054439

    Abstract Printed Circuit Boards (PCBs) are materials used to connect components to one another to form a working circuit. PCBs play a crucial role in modern electronics by connecting various components. The trend of integrating more components onto PCBs is becoming increasingly common, which presents significant challenges for quality control processes. Given the potential impact that even minute defects can have on signal traces, the surface inspection of PCB remains pivotal in ensuring the overall system integrity. To address the limitations associated with manual inspection, this research endeavors to automate the inspection process using the YOLOv8… More >

  • Open Access

    ARTICLE

    Improving Multiple Sclerosis Disease Prediction Using Hybrid Deep Learning Model

    Stephen Ojo1, Moez Krichen2,3,*, Meznah A. Alamro4, Alaeddine Mihoub5, Gabriel Avelino Sampedro6, Jaroslava Kniezova7,*

    CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2024.052147

    Abstract Myelin damage and a wide range of symptoms are caused by the immune system targeting the central nervous system in Multiple Sclerosis (MS), a chronic autoimmune neurological condition. It disrupts signals between the brain and body, causing symptoms including tiredness, muscle weakness, and difficulty with memory and balance. Traditional methods for detecting MS are less precise and time-consuming, which is a major gap in addressing this problem. This gap has motivated the investigation of new methods to improve MS detection consistency and accuracy. This paper proposed a novel approach named FAD consisting of Deep Neural Network… More >

  • Open Access

    ARTICLE

    Phytochemical and Pharmacological Research in Galenic Remedies of Solidago canadensis L. Herb

    Yurii Hrytsyk1, Oleh Koshovyi2,3, Martin Lepiku4, Valdas Jakštas5, Vaidotas Žvikas5, Tetiana Matus1, Mariia Melnyk1, Lyubov Grytsyk1, Ain Raal2,*

    Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2024.055117

    Abstract Canadian goldenrod (Solidago canadensis L.) is a rhizomatous plant of the Asteraceae family. In folk medicine, Solidago galenic remedies are used for diseases of the kidneys, urinary tract, liver, etc. Externally, goldenrod is used to treat purulent wounds, furunculosis, and gum abscesses as washes and compresses. The aims of this research were to study the yield and chemical composition of essential oil (EO), the anti-inflammatory activity of S. canadensis dry extracts based on its decoction and tincture. In EO (2.8 mL/kg) of S. canadensis were identified and quantified 34 compounds. The principal compounds of the EO from flowering tops… More > Graphic Abstract

    Phytochemical and Pharmacological Research in Galenic Remedies of <i>Solidago canadensis</i> L. Herb

  • Open Access

    ARTICLE

    Inhibitory Effect of Ponkan (Citrus reticulata ‘Ponkan’) Flavonoids on Oral Ulcers through Jak2-Stat3 Signaling Pathway

    Lili Liu1, Can Hu4, Huilin Cheng1, Chuangju Ma1, Jiancheng Sun1, Yunyi Chen2, Manxi Wu2, Han Yang2, Cui Sun2,3, Jinping Cao2,3, Dengliang Wang1,*, Yue Wang2,*, Chongde Sun2,3

    Phyton-International Journal of Experimental Botany, Vol., , DOI:10.32604/phyton.2024.054449

    Abstract Oral ulcers, a common mucosal affliction, severely diminish patients’ quality of life due to pain and discomfort. Despite existing treatments, the frequent recurrence of oral ulcers underscores the need for more effective therapeutic options. This study aimed to investigate the inhibitory effects of Ponkan (Citrus reticulata ‘Ponkan’) extracts and their flavonoid components on oral ulcers, exploring their potential as a natural therapy. Twenty different Ponkan cultivars were selected for flavonoid extraction and analysis. Ultra-performance liquid chromatography (UPLC) and high-resolution mass spectrometry (HRMS) were utilized for substance identification, leading to the discovery of 16 flavonoid compounds. Using… More > Graphic Abstract

    Inhibitory Effect of Ponkan (<i>Citrus reticulata</i> ‘Ponkan’) Flavonoids on Oral Ulcers through Jak2-Stat3 Signaling Pathway

  • Open Access

    ARTICLE

    Hydraulic Fracture Parameter Inversion Method for Shale Gas Wells Based on Transient Pressure-Drop Analysis during Hydraulic Fracturing Shut-in Period

    Shangjun Gao1,2, Yang Yang1, Man Chen1, Jian Zheng1, Luqi Qin2,*, Xiangyu Liu2, Jianying Yang1

    Energy Engineering, Vol., , DOI:10.32604/ee.2024.053622

    Abstract Horizontal well drilling and multi-stage hydraulic fracturing are key technologies for the development of shale gas reservoirs. Instantaneous acquisition of hydraulic fracture parameters is crucial for evaluating fracturing effectiveness, optimizing processes, and predicting gas productivity. This paper establishes a transient flow model for shale gas wells based on the boundary element method, achieving the characterization of stimulated reservoir volume for a single stage. By integrating pressure monitoring data following the pumping shut-in period of hydraulic fracturing for well testing interpretation, a workflow for inverting fracture parameters of shale gas wells is established. This new method… More >

  • Open Access

    ARTICLE

    A Two-Layer Optimal Scheduling Strategy for Rural Microgrids Accounting for Flexible Loads

    Guo Zhao1,2, Chi Zhang1,2,*, Qiyuan Ren1,2

    Energy Engineering, Vol., , DOI:10.32604/ee.2024.053130

    Abstract In the context of China’s “double carbon” goals and rural revitalization strategy, the energy transition promotes the large-scale integration of distributed renewable energy into rural power grids. Considering the operational characteristics of rural microgrids and their impact on users, this paper establishes a two-layer scheduling model incorporating flexible loads. The upper-layer aims to minimize the comprehensive operating cost of the rural microgrid, while the lower-layer aims to minimize the total electricity cost for rural users. An Improved Adaptive Genetic Algorithm (IAGA) is proposed to solve the model. Results show that the two-layer scheduling model with More >

  • Open Access

    ARTICLE

    AI-Powered Image Security: Utilizing Autoencoders for Advanced Medical Image Encryption

    Fehaid Alqahtani*

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2024.054976

    Abstract With the rapid advancement in artificial intelligence (AI) and its application in the Internet of Things (IoT), intelligent technologies are being introduced in the medical field, giving rise to smart healthcare systems. The medical imaging data contains sensitive information, which can easily be stolen or tampered with, necessitating secure encryption schemes designed specifically to protect these images. This paper introduces an artificial intelligence-driven novel encryption scheme tailored for the secure transmission and storage of high-resolution medical images. The proposed scheme utilizes an artificial intelligence-based autoencoder to compress high-resolution medical images and to facilitate fast encryption… More >

  • Open Access

    ARTICLE

    Robust Particle Swarm Optimization Algorithm for Modeling the Effect of Oxides Thermal Properties on AMIG 304L Stainless Steel Welds

    Rachid Djoudjou1,*, Abdeljlil Chihaoui Hedhibi3, Kamel Touileb1, Abousoufiane Ouis1, Sahbi Boubaker2, Hani Said Abdo4,5

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2024.053621

    Abstract There are several advantages to the MIG (Metal Inert Gas) process, which explains its increased use in various welding sectors, such as automotive, marine, and construction. A variant of the MIG process, where the same equipment is employed except for the deposition of a thin layer of flux before the welding operation, is the AMIG (Activated Metal Inert Gas) technique. This study focuses on investigating the impact of physical properties of individual metallic oxide fluxes for 304L stainless steel welding joint morphology and to what extent it can help determine a relationship among weld depth… More >

  • Open Access

    ARTICLE

    Ensemble Filter-Wrapper Text Feature Selection Methods for Text Classification

    Oluwaseun Peter Ige1,2, Keng Hoon Gan1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2024.053373

    Abstract Feature selection is a crucial technique in text classification for improving the efficiency and effectiveness of classifiers or machine learning techniques by reducing the dataset’s dimensionality. This involves eliminating irrelevant, redundant, and noisy features to streamline the classification process. Various methods, from single feature selection techniques to ensemble filter-wrapper methods, have been used in the literature. Metaheuristic algorithms have become popular due to their ability to handle optimization complexity and the continuous influx of text documents. Feature selection is inherently multi-objective, balancing the enhancement of feature relevance, accuracy, and the reduction of redundant features. This… More >

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