Chandraumakantham Om Kumar^1,*, 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 >

Rehman Ullah Khan¹, Fazal Shah^2,*, 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 >

Stephen Ojo¹, Moez Krichen^2,3,*, Meznah A. Alamro⁴, Alaeddine Mihoub⁵, Gabriel Avelino Sampedro⁶, Jaroslava Kniezova^7,*

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 >

Yurii Hrytsyk¹, Oleh Koshovyi^2,3, Martin Lepiku⁴, Valdas Jakštas⁵, Vaidotas Žvikas⁵, Tetiana Matus¹, Mariia Melnyk¹, Lyubov Grytsyk¹, Ain Raal^2,*

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

Lili Liu¹, Can Hu⁴, Huilin Cheng¹, Chuangju Ma¹, Jiancheng Sun¹, Yunyi Chen², Manxi Wu², Han Yang², Cui Sun^2,3, Jinping Cao^2,3, Dengliang Wang^1,*, Yue Wang^2,*, Chongde Sun^2,3

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

Shangjun Gao^1,2, Yang Yang¹, Man Chen¹, Jian Zheng¹, Luqi Qin^2,*, 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 >

Guo Zhao^1,2, Chi Zhang^1,2,*, Qiyuan Ren^1,2

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 >

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 >

Rachid Djoudjou^1,*, Abdeljlil Chihaoui Hedhibi³, Kamel Touileb¹, Abousoufiane Ouis¹, Sahbi Boubaker², Hani Said Abdo^4,5

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 >

Oluwaseun Peter Ige^1,2, Keng Hoon Gan^1,*

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 >