Study of mechanical and physical properties of pineapple leaf fiber and coffee husk filler reinforced polymer composite using response surface method by Kinisa Wareso Abesho, Moera Gutu Jiru, Hirpa G. Lemu, Mohammed Abdulkedir Alfeki

“…This study fabricates composite samples using the hand layup method, and the Response Surface Methodology is used to optimize the experimental design. …”
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Real-Time Evaluation of Ground Insulation Degradation and Fault Warning Method Under Multiple Operating Conditions for Train Traction Drive System by Zhenglin Cheng, Kan Liu, Xueming Li, Shaolong Xu, Zhiwen Chen, Fengbing Jiang

“…Combined with on-site fault case data, a decision tree method is used to establish a classification model between the feature index set and typical grounding fault sources under different operating conditions, which is then converted into a fault diagnosis rule library. …”
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Bio-oil production by pyrolysis of Azolla filiculoides and Ulva fasciata macroalgae by S. Pourkarimi, A. Hallajisani, A. Alizadehdakhel, A. Nouralishahi

“…METHODS: For this purpose, the effects of temperature (300-500 °C), carrier gas flow rate (0.2-0.8 L/min), ‎and heating rate (10-20 °C/min) on the final bio-oil production were optimized using response ‎surface methodology established by a central composite design. …”
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Hydrogen production by the water-gas shift reaction: A comprehensive review on catalysts, kinetics, and reaction mechanism by Leila Dehimi, Oualid Alioui, Yacine Benguerba, Krishna Kumar Yadav, Javed Khan Bhutto, Ahmed M. Fallatah, Tanuj Shukla, Maha Awjan Alreshidi, Marco Balsamo, Michael Badawi, Alessandro Erto

“…The contribution of computational methods such as Density Functional Theory (DFT) to developing WGS catalysts is also explored. …”
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Dark Ship Detection via Optical and SAR Collaboration: An Improved Multi-Feature Association Method Between Remote Sensing Images and AIS Data by Fan Li, Kun Yu, Chao Yuan, Yichen Tian, Guang Yang, Kai Yin, Youguang Li

“…This paper proposes an improved multi-feature association method that integrates satellite remote sensing and AIS data, with a focus on oriented bounding box course estimation, to improve the detection of dark ships and enhance maritime surveillance. …”
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Evaluation Methods for the Human–Land Coupling Coordination Relationship in a Metro Station Area: A Case Study of Chengdu Metro Line 1 by Zhiyue Qiu, Shirui Wen, Hong Yuan, Ziyi Liu, Yao Wei, Siqi Yanling, Runlong Dai, Xiang Li, Yuxin Gu

“…However, there is still the problem of uncoordinated development in each station area along the metro, so it is urgent to build an evaluation method of the coupling and coordination relationship between people and land to study the laws of population activities, industrial agglomeration, traffic resources, and other aspects in the metro station area and analyze its rationality and matching. …”
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Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions by Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni

“…To address these challenges, this paper proposes a new method called Siagra-ConSA-HSOA (Siamese Graph Convolutional Split-Attention Network with NLP-based Social Sentiment Data). …”
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Automation of the Formation of a Mathematical Formulation of Kinetics for Multistage Chemical Reactions and Numerical Solution to a Direct Problem by N. A. Lysenko, K. F. Koledina

“…The kinetic parameters values were taken from literary sources. The direct kinetics problem was solved using algorithms: the Gear method, the Runge-Kutta method of the 4th order, and the scipy.odeint() method of the Python language. …”
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Adaptive non-parametric kernel density estimation for under-frequency load shedding with electric vehicles and renewable power uncertainty by Feng Renhai, Wajid Khan, Afshan Tariq, Muhammad Abbas, Muhammad Zain Yousaf, Abdul Aziz, Mohit Bajaj, Mustafa Abdullah, Milkias Tuka

“…Abstract As power systems around the world shift to incorporate more renewable energy sources, particularly wind power, maintaining grid stability becomes increasingly challenging due to the inherent variability of these sources. …”
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Multi-Stress Accelerated Degradation Testing Reliability Assessment of LED Lamp Beads Considering Generalized Coupling by Yinglong Dong, Zhen Zhou, Kaixin Liu, Xu Yang

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Research on Pose Error Modeling and Compensation of Posture Adjustment Mechanism Based on WOA-RBF Neural Network by Hongyu Shen, Honggen Zhou, Yiyang Jin, Lei Li, Bo Deng, Jiawei Xu

“…Therefore, a compensation method based on the whale optimization algorithm optimized radial basis function neural network is proposed. …”
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MULTI-CRITERIA ANALYSIS AND EXPERT ASSESSMENT OF VEHICLES WITH DIFFERENT DRIVE TYPES REGARDING THEIR FUNCTIONALITY AND ENVIRONMENTAL IMPACT by Ewelina SENDEK-MATYSIAK

“…For this purpose, the MAJA multi-criteria assessment method which has never before been used in comparisons of this sort was chosen.…”
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NSGA-II-based load resource management for frequency and voltage support by Yaxin Wang, Zhihang Zhu, Zhihong Yu, Zigan Wang

“…This is primarily due to the fluctuating and intermittent nature of renewable energy sources and the uncertain electricity demand. To address these issues, this study proposes a load resource management (LRM) method to cope with the sudden power disturbances. …”
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Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications by Amal K. Alkhalifa, Mohammed Aljebreen, Rakan Alanazi, Nazir Ahmad, Sultan Alahmari, Othman Alrusaini, Ali Alqazzaz, Hassan Alkhiri

“…For the DoW attack mitigation process, the bi-directional long short-term memory multi-head self-attention network (BMNet) method is employed. Finally, the hyperparameter tuning is accomplished by implementing the secretary bird optimizer algorithm (SBOA) method to enhance the classification outcomes of the BMNet model. …”
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Analysis and Design of Damping Resistor for Mitigating Surge Voltage and Oscillation in Flyback Converter by Sunggyu Jin, Jongwon Choi

“…An analytical method is presented for designing damping resistance to minimize surge voltage in a flyback converter with a dissipative snubber. …”
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Deep learning-based anomaly detection for precision field crop protection by Cheng Wei, Yifeng Shan, MengZhe Zhen

“…Anomaly detection plays a critical role in identifying and addressing irregularities, such as pest outbreaks, disease spread, or nutrient deficiencies, that can negatively impact yield. Traditional methods struggle with the complexity and variability of agricultural data collected from diverse sources.MethodsTo address these challenges, we propose a novel framework that integrates the Integrated Multi-Modal Smart Farming Network (IMSFNet) with the Adaptive Resource Optimization Strategy (AROS). …”
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Deep learning-based time series prediction for precision field crop protection by Tao He, Meijin Li, Dong Jin

“…These limitations hinder their ability to provide actionable insights for resource optimization and environmental protection.MethodsTo tackle these difficulties, this research puts forward a new deep-learning-based architecture for time-series prediction that is customized for precise field crop protection. …”
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Relationship between ecological spatial network and vegetation carbon use efficiency in the Yellow River Basin, China by Chenglong Xu, Xiang Chen, Qiang Yu, Buyanbaatar Avirmed, Jikai Zhao, Wei Liu, Weijie Sun

“…Furthermore, the Morphological Spatial Pattern Analysis (MSPA) method and Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model were employed to delineate ecological sources for woodlands, shrublands, and grasslands, while the Minimum Cumulative Resistance (MCR) model was used to identify ecological corridors, forming an ecological spatial network within the YRB. …”
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Study on an interpretable prediction model for pile bearing capacity based on SHAP and BP neural networks by Shunbo Li, Mingwei Hai, Qi Zhang, Bin Zhou, Miao Wang, Zhuo Zhao

“…To enhance the optimization of the BP neural network’s hyperparameters, five distinct optimization algorithms were employed: the Sine Cosine Optimization Algorithm (SCA), Snake Optimization Algorithm (SO), Pelican Optimization Algorithm (POA), African Vulture Optimization Algorithm (AVOA), and Chameleon Optimization Algorithm (CSA). …”
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The Relationship Between Biological Noise and Its Application: Understanding System Failures and Suggesting a Method to Enhance Functionality Based on the Constrained Disorder Prin... by Yaron Ilan

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