Sheren Sadiq Hasan¹, Zainab Salih Agee², Bareen Shamsaldeen Tahir³, Subhi R. M. Zeebaree^4,*

Computer Systems Science and Engineering, Vol.46, No.3, pp. 3225-3238, 2023, DOI:10.32604/csse.2023.037434

Abstract Solar energy will be a great alternative to fossil fuels since it is clean and renewable. The photovoltaic (PV) mechanism produces sunbeams’ green energy without noise or pollution. The PV mechanism seems simple, seldom malfunctioning, and easy to install. PV energy productivity significantly contributes to smart grids through many small PV mechanisms. Precise solar radiation (SR) prediction could substantially reduce the impact and cost relating to the advancement of solar energy. In recent times, several SR predictive mechanism was formulated, namely artificial neural network (ANN), autoregressive moving average, and support vector machine (SVM). Therefore, this article develops an optimal Modified… More >

Saud Yonbawi¹, Sultan Alahmari², T. Satyanarayana murthy³, Ravuri Daniel⁴, E. Laxmi Lydia⁵, Mohamad Khairi Ishak⁶, Hend Khalid Alkahtani^7,*, Ayman Aljarbouh⁸, Samih M. Mostafa⁹

Computer Systems Science and Engineering, Vol.46, No.3, pp. 3847-3864, 2023, DOI:10.32604/csse.2023.036552

Abstract Crop insect detection becomes a tedious process for agronomists because a substantial part of the crops is damaged, and due to the pest attacks, the quality is degraded. They are the major reason behind crop quality degradation and diminished crop productivity. Hence, accurate pest detection is essential to guarantee safety and crop quality. Conventional identification of insects necessitates highly trained taxonomists to detect insects precisely based on morphological features. Lately, some progress has been made in agriculture by employing machine learning (ML) to classify and detect pests. This study introduces a Modified Metaheuristics with Transfer Learning based Insect Pest Classification… More >

Bareen Shamsaldeen Tahir¹, Zainab Salih Ageed², Sheren Sadiq Hasan³, Subhi R. M. Zeebaree^4,*

CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 4009-4024, 2023, DOI:10.32604/cmc.2023.037433

Abstract Traditional indoor human activity recognition (HAR) is a time-series data classification problem and needs feature extraction. Presently, considerable attention has been given to the domain of HAR due to the enormous amount of its real-time uses in real-time applications, namely surveillance by authorities, biometric user identification, and health monitoring of older people. The extensive usage of the Internet of Things (IoT) and wearable sensor devices has made the topic of HAR a vital subject in ubiquitous and mobile computing. The more commonly utilized inference and problem-solving technique in the HAR system have recently been deep learning (DL). The study develops… More >

Mercy Sharon Devadas¹, N. Bhalaji^1,*, Xiao-Zhi Gao²

Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 2685-2702, 2023, DOI:10.32604/iasc.2023.031636

Abstract In Mobile ad hoc Networks (MANETs), the packet scheduling process is considered the major challenge because of error-prone connectivity among mobile nodes that introduces intolerable delay and insufficient throughput with high packet loss. In this paper, a Modified Firefly Optimization Algorithm improved Fuzzy Scheduler-based Packet Scheduling (MFPA-FSPS) Mechanism is proposed for sustaining Quality of Service (QoS) in the network. This MFPA-FSPS mechanism included a Fuzzy-based priority scheduler by inheriting the merits of the Sugeno Fuzzy inference system that potentially and adaptively estimated packets’ priority for guaranteeing optimal network performance. It further used the modified Firefly Optimization Algorithm to optimize the… More >

Xue Huang^1,*, Zeyu Chen¹, Ruizhao Yang¹, Guangzhu Feng²

Journal of Renewable Materials, Vol.11, No.5, pp. 2301-2319, 2023, DOI:10.32604/jrm.2023.025888

Abstract 1,3-Dioleoyl-2-palmitoylglycerol (OPO) has been a hotspot of functional oils research in recent years, but due to the high cost of sn-1,3 specific lipase in enzymatic synthesis and the lack of biocatalyst stability, large-scale industrial application is difficult. In this study, the prepared magnetic ZnFe₂O₄ was functionalized with dopamine to obtain ZnFe₂O₄@PDA, and the nano-biocatalyst ZnFe₂O₄@PDA@RML was prepared by immobilizing sn-1,3 specific lipase of Rhizomucor miehei lipase (RML) via a cross-linking method. The existence of RML on ZnFe₂O₄@PDA was confirmed by XRD, FTIR, SEM, and TEM. This strategy proved to be simple and effective because the lipase immobilized on magnetic nanoparticles… More > Graphic Abstract

Mohammed Albuaymi¹, Suleiman Abdulrahman^2,3, Fayez Alanazi⁴, Hani Alanazi^1,*, Musa Adamu^5,6

Journal of Renewable Materials, Vol.11, No.5, pp. 2433-2451, 2023, DOI:10.32604/jrm.2023.026751

Abstract Pure bitumen is not suitable for heavy traffic loads; hence modifiers are used to improve the bitumen performance. Recently, cup lump rubber (CLR) has become a preferred modifier due to its outstanding performance and less cost. However, little is known about the interactions between CLR and bitumen. Thus, this study investigates the behavior of bitumen with CLR. Four percentages of CLR (2.5%, 5.0%, 7.5%, and 10.0% by weight of bitumen) were used to modify conventional 60/70 penetration grade bitumen. The modified bitumen was evaluated through different laboratory testing such as dynamic shear rheometer, rotational viscosity, softening point, bending beam rheometer,… More >

Xiaoqian Bi¹, Pengfei Guan¹, Ping Li^2,*, Yuan Zhang¹, Xingong Li¹, Yingfeng Zuo^1,*

Journal of Renewable Materials, Vol.11, No.5, pp. 2399-2415, 2023, DOI:10.32604/jrm.2023.026656

Abstract Sodium silicate modification can improve the overall performance of wood. The modification process has a great influence on the properties of modified wood. In this study, a new method was introduced to analyze the wood modification process, and the properties of modified wood were studied. Poplar wood was modified with sodium silicate by vacuum-pressure impregnation. After screening using single-factor experiments, an orthogonal experiment was carried out with solution concentration, impregnation time, impregnation pressure, and the cycle times as experimental factors. The modified poplar with the best properties was selected by fuzzy mathematics and characterized by SEM, FT-IR, XRD and TG.… More > Graphic Abstract

Lingling Qin¹, Mengya Zhou¹, Jiahao Yan¹, Ping Duan^1,2,3,4,*, Yingcan Zhu^5,*, Wei Chen⁶, Zuhua Zhang⁷, Aiguo Wang²

Journal of Renewable Materials, Vol.11, No.5, pp. 2191-2208, 2023, DOI:10.32604/jrm.2023.025197

Abstract Montmorillonite and clinoptilolite zeolite were used as representative materials to prepare calcined clay-cement binary cementitious materials in order to study the effect of calcination treatment on the activation of clay minerals and the activity difference between layered and framed clays in this research. The influence of different calcined clay content (2%, 4%, 6%, 8%, 10%) on the fluidity, compressive strength, microstructure, phase change, and hydration heat of cement-based materials were analyzed. The calcined clay improves the fluidity of cement-based materials as compared with the uncalcined group. The addition of calcined montmorillonite (CMT) improves the development of mechanical strength, and the… More > Graphic Abstract

R. Sheeba^1,*, R. Sharmila², Ahmed Alkhayyat³, Rami Q. Malik⁴

Computer Systems Science and Engineering, Vol.46, No.2, pp. 1415-1429, 2023, DOI:10.32604/csse.2023.034321

Abstract Lately, the Internet of Things (IoT) application requires millions of structured and unstructured data since it has numerous problems, such as data organization, production, and capturing. To address these shortcomings, big data analytics is the most superior technology that has to be adapted. Even though big data and IoT could make human life more convenient, those benefits come at the expense of security. To manage these kinds of threats, the intrusion detection system has been extensively applied to identify malicious network traffic, particularly once the preventive technique fails at the level of endpoint IoT devices. As cyberattacks targeting IoT have… More >

Mesfer Al Duhayyim^1,*, Jaber S. Alzahrani², Hanan Abdullah Mengash³, Mrim M. Alnfiai⁴, Radwa Marzouk³, Gouse Pasha Mohammed⁵, Mohammed Rizwanullah⁵, Amgad Atta Abdelmageed⁵

Computer Systems Science and Engineering, Vol.46, No.2, pp. 1471-1485, 2023, DOI:10.32604/csse.2023.034137

Abstract The Internet of Things (IoT) environment plays a crucial role in the design of smart environments. Security and privacy are the major challenging problems that exist in the design of IoT-enabled real-time environments. Security susceptibilities in IoT-based systems pose security threats which affect smart environment applications. Intrusion detection systems (IDS) can be used for IoT environments to mitigate IoT-related security attacks which use few security vulnerabilities. This paper introduces a modified garden balsan optimization-based machine learning model for intrusion detection (MGBO-MLID) in the IoT cloud environment. The presented MGBO-MLID technique focuses on the identification and classification of intrusions in the… More >