Analysis of the Structure of Nonlinear Distortions at Baseband Pulse Impacts Using Behavioral Nonlinear Models of Electrical Circuits by E. V. Semyonov

“…This, as a result, complicates the optimization of devices.Aim. To develop an approach capable of determining the contribution of various sources to the nonlinear distortion of baseband pulse signals.Materials and methods. …”
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RESEARCH ON VEHICLE INTELLIGENT FRAGRANCE FLUID SIMULATION AND NOISE REDUCTION

“…The existing miniaturized vehicle intelligent fragrance devices in China generally have problems such as small air volume and high noise,resulting in poor user experience.In view of the above problems,firstly,a miniaturized vehicle intelligent fragrance device based on Catia software was designed.Secondly,based on the computational fluid dynamics(CFD)method,the flow field simulation analysis of the vehicle intelligent fragrance device was carried out,and the air volume was optimized by improving the air path and the size of the air outlet.The optimized air volume is 1.2 m3/h,which is 16.7% higher than that before optimization,which verifies the feasibility of the optimization method.Finally,based on Siemens Simcenter Testlab system,the noise reduction of the vehicle intelligent fragrance devices was studied.The scheme of isolating vibration source and adjusting motor subdivision was proposed to reduce noise.The experimental results show that the noise of the whole machine is reduced by 5.61 dB(A),which verifies the effectiveness of the noise reduction method.The structural design method,air volume optimization method and noise reduction technology scheme provide a strong reference for product development in the field of vehicle electronics.…”
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A New Experimental Approach for Hydraulic Fracturing Fluid Damage of Ultradeep Tight Gas Formation by Hui Li, Zhiliang Liu, Ninghong Jia, Xu Chen, Jing Yang, Lele Cao, Ben Li

“…Hydraulic fracturing is the main method for tight gas reservoir development because of its extremely low permeability and porosity. …”
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Data-Driven Proactive Early Warning of Grid Congestion Probability Based on Multiple Time Scales by Haobo Fu, Ruizhuo Wang, Bingxu Zhai, Yuanzhuo Li, Pengyuan Li, Rui Zhang, Haoyuan He, Siyang Liao

“…In order to solve the problem of a lack of accuracy and predictability of the current scheduling method based on “passive” prediction, a data-driven active warning method based on the probability of grid congestion at multiple time scales is proposed. …”
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Life cycle inventory dataset for energy production and storage technologies: Standardized metrics for environmental modelingZenodo by Elena Rozzi, Paolo Marocco, Marta Gandiglio

“…Unlike existing LCA databases, which are often paywalls, and can have highly detailed but less accessible data, this method provides aggregated and user-friendly parameters that are ready for direct use. …”
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Intelligent power control strategy based on self-tuning fuzzy MPPT for grid-connected hybrid system by H. Chaib, S. Hassaine, Y. Mihoub, S. Moreau

“…This study presents a thorough evaluation of intelligent control methods for MPPT in HRESs, emphasizing their potential to optimize energy supply under varying conditions. …”
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Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images by M. Eliazer, Sibi Amaran, K. Sreekumar, A. Vikram, Gyanendra Prasad Joshi, Woong Cho

“…Finally, the enhanced coati optimization algorithm (ECOA) method is implemented for the hyperparameter tuning of the KELM method, which results in a higher classification process. …”
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Plant Height Estimation in Corn Fields Based on Column Space Segmentation Algorithm by Huazhe Zhang, Nian Liu, Juan Xia, Lejun Chen, Shengde Chen

“…Addressing these issues through algorithm optimization, parallel processing, and the integration of additional data sources such as multispectral or LiDAR data could enhance its scalability and robustness. …”
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Research on Heat Transfer of Submersible Motor Stator based on Air Gap Flow Characteristics by Shibin Zhang, Huayang Ren, Yongcun Wang, Yu Miao, Yan Shang, Yunbing Feng

“…Finally, the validity of the method is verified by comparing the calculated results with the experimental data. …”
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FLUORESCENT X-RAY IMAGING WITH PINHOLE CAMERA by Yu. I. Dudchik, G. I. Hilko, Yu. K. Lomashko

“…The pinhole camera is used for obtaining the image of synchrotron and laboratory sources, and also as a lens in a method of X-ray fluorescent microscopy. …”
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Adaptive Control of VSG Inertia Damping Based on MADDPG by Demu Zhang, Jing Zhang, Yu He, Tao Shen, Xingyan Liu

“…Therefore, this paper proposes a VSG inertia and damping adaptive control method based on multi-agent deep deterministic policy gradient (MADDPG). …”
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Multi-Agent Deep Reinforcement Learning Approach for Temporally Coordinated Demand Response in Microgrids by Chunchao Hu, Zexiang Cai, Yanxu Zhang

“…Price-based and incentive-based demand response (DR) are both recognized as promising solutions to address the increasing uncertainties of renewable energy sources (RES) in microgrids. However, since the temporally optimization horizons of price-based and incentive-based DR are different, few existing methods consider their coordination. …”
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Probabilistic Forecasting of Energy Consumption using Bayesian Dynamic Linear Models by Hartika Aulia, Syaharuddin Syaharuddin, Vera Mandailina, Hamenyimana Emanuel Gervas, Hameed Ashraf

“…This study aims to conduct a systematic literature review on the development of mathematical models for forecasting energy consumption using a probabilistic approach, particularly focusing on the Bayesian Dynamic Linear Model (BDLM). The research method employed is Systematic Literature Review (SLR), utilizing literature sources indexed in Scopus, DOAJ, and Google Scholar, with publication dates ranging from 2014 to 2024. …”
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Novel Real-Time Power System Scheduling Based on Behavioral Cloning of a Grid Expert Strategy with Integrated Graph Neural Networks by Xincong Shi, Chuangxin Guo

“…Tested on a modified IEEE 33-bus model rich in renewable sources, GES-GNNBC outperforms both traditional and RL methods in stability and efficiency of computing optimization schemes and power balance strategies, markedly improving dispatch decision-making speed and effectiveness.…”
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CO2 Conversion Through Dynamic Resource Integration in Different Geographic Regions by Mohammad Lameh, Dhabia M. Al-Mohannadi, Patrick Linke

“…Different dynamics related to the energy sources can affect the design and operation of the integrated systems. …”
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Application of a Supervised Learning Machine for Accurate Prognostication of Hydrogen Contents of Bio-Oil by Binghui Xu, Tzu-Chia Chen, Danial Ahangari, S. M. Alizadeh, Marischa Elveny, Jeren Makhdoumi

“…The support vector machine algorithm optimized by the grey wolf optimization method has been used in modeling this end. …”
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Developing a Drowsiness Detection System for Safe Driving Using YOLOv9 by Fernando Candra Yulianto, Wiwit Agus Triyanto, Syafiul Muzid

“…The model performance was evaluated based on precision, recall, F1 score, and mean average precision (mAP) metrics. The best model was optimized using several optimization techniques to determine the most optimal results. …”
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Enhancing the Efficiency and Schedule of Solar Thermal Power Plants by Utilizing Thermal Storage Devices to Minimize Carbon Emissions by Lingeswaran P., Yadav Shailendra Kumar, Ganesh Babu L., Magesh Babu D., Karuppannan Anand, Iftekhar Hussain Beporam, Nanthakumar S.

“…The renewable energy method of photo thermal power generation has great promise for future advancements. …”
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Greening concept in inventory system for deteriorating items with preservation investment and price and stock dependent demand via marine predators algorithm by Hachen Ali, Gobinda Chandra Panda, Adel Fahad Alrasheedi, Ali Akbar Shaikh, Jeonghwan Gwak

“…The robustness of the solution method is further demonstrated by comparing the MPA’s performance with other optimization techniques in terms of solution quality and computational efficiency. …”
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Noise Testing of the Conveyor Trough Sprocket and Surface Noise Reduction Performance Evaluation of the Cavity Structure in a Combine Harvester by Jianpeng Jing, Hongyan Sun, Runzhi Liang, Shuren Chen, Zhong Tang, Xiaoying He, Yuxuan Chen

“…Noise measurements were conducted using the sound intensity method, revealing sound pressure levels in the range of 93–95 dB. …”
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