Separating and quantifying facility-level methane emissions with overlapping plumes for spaceborne methane monitoring by Y. Pang, Y. Pang, L. Tian, D. Hu, S. Gao, G. Liu, G. Liu

“…To address these challenges, we propose a separation approach based on a heuristic optimization and the multi-source Gaussian plume model to separate the overlapping plumes. …”
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Modeling water and hydrogen networks with partitioning regeneration units by W.M. Shehata, A.M. Shoaib, F.K. Gad

“…This method determines the number of partitioning regenerators needed for the regeneration of the sources. …”
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The Capacity Configuration of a Cascade Small Hydropower-Pumped Storage–Wind–PV Complementary System by Bin Li, Shaodong Lu, Jianing Zhao, Peijie Li

“…Therefore, it is necessary to develop a capacity configuration method that improves the output stability of highly uncertain energy sources such as wind and photovoltaic (PV) power by integrating pumped storage units. …”
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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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Distributed Parameter Identification Framework Based on Intelligent Algorithms for Permanent Magnet Synchronous Wind Generator by Xiaoxuan Wu, De Tian, Huiwen Meng, Yi Su

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Dynamic QoS-aware intelligent edge computing resource management algorithm for body area networks by MU Siqi, WEN Shuo, LU Yang, AI Bo

“…Then, a multi-source task priority sequence for each BAN was constructed and an online decision-making method that integrated proximal policy optimization (PPO) was proposed for task offloading and computing resource allocation. …”
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Synergistic Integration of Local and Global Information for Critical Edge Identification by Na Zhao, Ting Luo, Hao Wang, Shuang-Ping Yang, Ni-Fei Xiong, Ming Jing, Jian Wang

“…Therefore, it is essential to develop a method that integrates multiple sources of information to enhance critical edge identification and provide a deeper understanding and optimization of the structure and function of complex networks. …”
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Geometric properties of quantum entanglement and machine learning by S. V. Zuev

“…The datasets for analysis are taken from open sources. Data preprocessing was performed by the method of mapping features into numerical vectors, then the method of bringing the data to the desired dimension was applied. …”
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A Novel Graph Reinforcement Learning-Based Approach for Dynamic Reconfiguration of Active Distribution Networks with Integrated Renewable Energy by Hua Zhan, Changxu Jiang, Zhen Lin

“…Firstly, a nonlinear stochastic optimization mathematical model for the ADNDR is constructed, taking into account the uncertainty of sources and loads. …”
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VP_TT: A value propagation based equivalence checker for testability transformations by Ramanuj Chouksey, Sachin Kumar Maddheshiya, Chandan Karfa

“…Abstract Testability transformation (TT) is a source‐to‐source programme transformation that aims to improve the ability of a given test generation method to generate test data for the original programme. …”
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Automated Bell inequality violation searches for estimating entanglement quality in fiber by Evan Dowling, Gerald Baumgartner, Richard Brewster, Mark Morris, Anne Marie Richards, Rajarshi Roy, Thomas E. Murphy

“…The iterative methods used within our experiment are the Nelder–Mead optimization method, stochastic gradient descent, and Bayesian optimization. …”
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The Impact of Nature Reserves on the Ecological Network of Urban Agglomerations—A Case Study of the Urban Agglomeration in the Middle Reaches of the Yangtze River by Weidi Li, Xiaoxu Liang, Anqiang Jia, John Martin

“…Different types of nature reserves are then superimposed to create four distinct source schemes. Subsequently, a resistance surface is constructed through a comprehensive evaluation method to assess ecological barriers. …”
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Exploration Enhanced RPSO for Collaborative Multitarget Searching of Robotic Swarms by Jian Yang, Ruilin Xiong, Xinhao Xiang, Yuhui Shi

“…Particle Swarm Optimization (PSO) is an excellent population-based optimization algorithm. …”
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Frequency minimum inertia calculation of complex power systems based on an improved simulated annealing algorithm by Qiang Zhang, Qi Jia, Tingqi Zhang, Hui Zeng, Chao Wang, Wansong Liu

“…In order to enhance the inertia situational awareness and stability of the power system in the context of the reduction of power system inertia and the challenge of frequency stability due to the high proportion of new energy access, the background and purpose of the study are stated in the introduction; methodologically, based on the frequency response model of the power system, we analyze the time and magnitude of the maximum frequency offset, clarify the factors affecting the frequency stability and construct the mathematical relationship, and then build a model for assessing the minimum inertia of the power system taking into account the virtual inertia of the new energy source. Then, based on the whole process of frequency response, we construct a power system minimum inertia assessment model taking into account the virtual inertia of new energy sources, and introduce an improved simulated annealing algorithm to solve the problem; the results validate the accuracy of the method through the IEEE-14 node model; the discussion section points out that this method provides a feasible solution for the inertia situational awareness of power system, which is helpful for the optimization of the operation, and also proposes that in the future we can take into account more uncertainties to improve the model and algorithm and to enhance the practicability and adaptability of this method. …”
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Available Transfer Capability Assessment of Multiarea Power Systems with Conditional Generative Adversarial Network by Xiangfei Meng, Lina Zhang, Xin Tian, Hongqing Chu, Yao Wang, Qingxin Shi

“…Traditional works usually model the power source-load uncertainty by using robust optimization, interval optimization, or chance-constraint optimization, which cannot fully reflect the probabilistic distribution of the daily source-load uncertainty. …”
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Comparison of gamma and x-ray irradiation for myeloablation and establishment of normal and autoimmune syngeneic bone marrow chimeras. by Thomas Rea Wittenborn, Cecilia Fahlquist Hagert, Alexey Ferapontov, Sofie Fonager, Lisbeth Jensen, Gudrun Winther, Søren Egedal Degn

“…In the mixed chimera model of autoimmune disease, we found that a similar autoimmune phenotype could be achieved irrespective of irradiation source used. It is thus possible to compare data generated, regardless of the irradiation source, but every setup and application likely needs individual optimization.…”
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Two-layer energy scheduling of electrical and thermal smart grids with energy hubs including renewable and storage units considering energy markets by Walid Aich, Ali Basem, Narinderjit Singh Sawaran Singh, Kuwar Mausam, Zahraa Abed Hussein, Saurav Dixit, Naim Ben Ali, Lotfi Ben Said, Wajdi Rajhi, Loghman Mostafazadeh

“…Problem-solving is undertaken using a hybrid optimization solver that combines artificial bee colony and honey-bee mating optimization methods. …”
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Metasurface-Based Solar Absorption Prediction System Using Artificial Intelligence by Md. Mottahir Alam, Ahteshamul Haque, Asif Irshad Khan, Samir Kasim, Amjad Ali Pasha, Aasim Zafar, Kashif Irshad, Anis Ahmad Chaudhary, Md. Samsuzzaman, Rezaul Azim

“…Solar energy is a significant, environment-friendly source of renewable energy. The solar absorber transforms solar radiation into heat energy as an effective green energy source. …”
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Providing a Control System for Charging Electric Vehicles Using ANFIS by Zahra Mahdavi, Tina Samavat, Anita Sadat Jahani Javanmardi, Mohammad Ali Dashtaki, Mohammad Zand, Morteza Azimi Nasab, Mostafa Azimi Nasab, Sanjeevikumar Padmanaban, Baseem Khan

“…By implementing this method, it is expected that the connection status of electric vehicles can be optimized to help stabilize the grid and minimize frequency fluctuations caused by the integration of distributed renewable energy sources. …”
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Computational sensitivity evaluation of ultrasound neuromodulation resolution to brain tissue sound speed with robust beamforming by Boqiang Fan, Wayne Goodman, Sameer A. Sheth, Richard R. Bouchard, Behnaam Aazhang

“…The propagation estimation model utilizes equivalent source method (ESM) to map sound field between different acoustic parameter sets. …”
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