A Target Near-Field Scattering Measurement Technique Utilizing 3D Near-Field Imaging via Cylindrical Scanning by Zongkai Yang, Jingcheng Zhao, Weikang Si, Changyu Lou, Xin Zhao, Jungang Miao

“…Ultimately, accurate calculations are performed utilizing backpropagation (BP) in time domain algorithms. This method significantly reduces the computational burden while maintaining imaging accuracy by integrating rapid scattering source extraction with precise computation for critical regions. …”
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VIOS-Net: A Multi-Task Fusion System for Maritime Surveillance Through Visible and Infrared Imaging by Junquan Zhan, Jiawen Li, Langtao Wu, Jiahua Sun, Hui Yin

“…Automatic ship monitoring models leveraging image recognition have become integral to regulatory applications within maritime management, with multi-source image co-monitoring serving as the primary method for achieving comprehensive, round-the-clock surveillance. …”
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Robust wireless statistic division multiplexing and its performance analysis by Zhongqiang Luo, Chengjie Li

“…Second, in terms of robust wireless statistic division multiplexing receiving mechanism based on independent component analysis principle, a novel cost function based on minimization mutual information modified by minimum bit error rate constraint is investigated to improve robust performance of source recovery. Furthermore, independent component analysis–based blind source separation method combines with an adaptive moment estimation stochastic optimization for promoting the effectiveness of the source recovery performance. …”
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A Multimodal Large Language Model Framework for Intelligent Perception and Decision-Making in Smart Manufacturing by Tianyu Wang, Bowen Zhang, Daqi Jiang, Dong Li

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Research on action matching of skeletal point coordinates and sports teaching application based on Open-pose by Shunmin Su

“…This study addresses the challenges of high matching errors and low recognition rates in traditional skeletal point-based human action matching methods, a skeleton point coordinate and human posture action matching technology is studied based on Open-pose open-source model. …”
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State Estimation in Power Distribution Grids Using Deep Unfolding by Biswajeet Rout, Balasubramaniam Natarajan

“…Unlike model-agnostic neural networks (NNs), which are difficult to tune and train, the proposed model-based NN is created by “unfolding” the alternating direction method of multipliers (ADMM) solver. This article proposes two methods for state estimation: a purely data-driven approach called model-free DSSE network (MFDSSE-net) and a model-based DSSE network (MBDSSE-net) that incorporates network information by including the linearized power flow constraints into the optimization framework. …”
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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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Research on Segmentation Experience of Music Signal Improved Based on Maximization of Negative Entropy by Qin Yao, Zhencong Li, Wanzhi Ma

“…Aiming at the problem that the separation performance of the negative entropy maximization method depends on the selection of the initial matrix, the Newton downhill method is used instead of the Newton iteration method as the optimization algorithm to find the optimal matrix. …”
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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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Enhancing grid frequency regulation in low inertia modern multi‐area power systems using cascaded non‐integer control approaches with BESS‐based virtual inertia by Tushar Kanti Roy, Amanullah Maung Than Oo

“…Abstract In modern power systems, the integration of inverter‐based renewable energy sources has significantly reduced system inertia, leading to heightened frequency fluctuations and potential instability within multi‐area interconnected microgrids. …”
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MEFL: Meta-Equilibrize Federated Learning for Imbalanced Data in IoT by Jialu Tang, Yali Gao, Xiaoyong Li, Jia Jia

“…By alleviating the gradient biases caused by multi-step local updates from the source, MEFL effectively resolves the issues of inconsistency between global and local optimization objectives. …”
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Noise Emission Assessment and Countermeasures of High-speed Maglev System by Sansan DING, Jianmin GE, Jianqiang GUO, Yanju ZHAO, Shanqiang FU

“…In the design stage of maglev vehicle, the high-speed noise source intensity was deduced according to the existing noise data, and the mode prediction was carried out according to <italic>The guidance on noise and vibration source intensity values and treatment principles in environmental impact assessment of railway construction projects</italic> (2010 Revision) (TJ [2010] No. 44). …”
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ARK: Aggregation of Reads by K-Means for Estimation of Bacterial Community Composition. by David Koslicki, Saikat Chatterjee, Damon Shahrivar, Alan W Walker, Suzanna C Francis, Louise J Fraser, Mikko Vehkaperä, Yueheng Lan, Jukka Corander

“…<h4>Availability</h4>An open source, platform-independent implementation of the method in the Julia programming language is freely available at https://github.com/dkoslicki/ARK. …”
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Learning super-resolution and pyramidal convolution residual network for vehicle re-identification by Mengxue Liu, Weidong Min, Qing Han, Hongyue Xiang, Meng Zhu

“…In this study, we propose a Vehicle Re-ID method based on super resolution and pyramidal convolution residual network. …”
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Identification and control of booming noise of thin-walled metal plates of commercial vehicle body subjected to high-speed airflow. by Yuanshao Wang, Bao Zhang, Xiaoping Su, Liguo Zang

“…Based on experimental, finite element, dynamic and fluid techniques, a method for identification, analysis and optimization of TWMP booming noise under high-speed airflow is proposed in this paper. …”
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Dynamic Modeling and Simulation of Wind Turbine Unit Primary Frequency Regulation Considering Multi-domain Coupling Characteristics by Zhanyang JI, Yang HU, Lingxing KONG, Ziqiu SONG, Dan DENG, Jizhen LIU

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Assessing the sustainability of combined heat and power systems with renewable energy and storage systems: Economic insights under uncertainty of parameters. by Emad A Mohamed, Mostafa H Mostafa, Ziad M Ali, Shady H E Abdel Aleem

“…In contrast to conventional economic dispatch methods, this research incorporates renewable energy sources (RESs), energy storage systems (ESSs), and combined heat and power (CHP) systems. …”
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Low-Frequency Performance Analysis of Semi-Active Cab’s Hydraulic Mounts of an Off-Road Vibratory Roller by Vanliem Nguyen, Jianrun Zhang, Xiuzhi Yang

“…This study proposes an optimal fuzzy-PID control method for semi-active cab’s hydraulic mounts based on an off-road vehicle roller dynamic model to analyze the low-frequency performance of semi-active cab’s hydraulic mounts under the different operating conditions. …”
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Rendering the European neutron research landscape by Evgenii Velichko, Hartmut Abele, David J. Barlow, Antonio Benedetto, Stefano Deledda, Lambert van Eijck, Maria Teresa Fernandez-Diaz, Marc Janoschek, Maths Karlsson, Kim Lefmann, Natalie Malikova, Maria P. M. Marques, Konstantina Mergia, Jörg Pieper, Henrik M. Rønnow, Jan Šaroun, Astrid Schneidewind, Frank Schreiber, Kristiaan Temst, Max Wolff, Wojciech Zając, Marco Zanatta

“…Our analysis reveals consistent growth in the neutron community despite a reduction in sources, underscoring the enduring significance of neutron methods in scientific research. …”
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Passivity-Based Model-Predictive Control for the Permanent Magnet Synchronous Machine by Alejandro Garcés-Ruiz, Walter Julián Gil González

“…Method: A passivity-based model predictive control (MPC) is proposed, integrating port-Hamiltonian representation with optimization. …”
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