LCAMNet: a lightweight model for apple leaf disease classification in natural environments by Yuanyuan Jiao, Honghui Li, Xueliang Fu, Buyu Wang, Buyu Wang, Kaiwen Hu, Shuncheng Zhou, Daoqi Han

“…In order to resolve the aforementioned problem, this paper introduces a lightweight converged attention multi-branch network named LCAMNet. …”
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A novel method for optimizing epilepsy detection features through multi-domain feature fusion and selection by Guanqing Kong, Guanqing Kong, Shuang Ma, Shuang Ma, Wei Zhao, Wei Zhao, Haifeng Wang, Haifeng Wang, Qingxi Fu, Qingxi Fu, Jiuru Wang

“…BackgroundThe methods used to detect epileptic seizures using electroencephalogram (EEG) signals suffer from poor accuracy in feature selection and high redundancy. This problem is addressed through the use of a novel multi-domain feature fusion and selection method (PMPSO).MethodDiscrete Wavelet Transforms (DWT) and Welch are used initially to extract features from different domains, including frequency domain, time-frequency domain, and non-linear domain. …”
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Research on Dynamic Optimization Control Strategy With the Synergistic Participation of Wind Power and Energy Storage System for Power Grid by Xi-Lin Zhao, Ze-Lin Gui, Chu-Feng Gong, Xiao-Yu Ye

“…The utilization of the sustainable energy in automatic generation control of power grid was an effective method to solve the problem. Therefore, an optimal strategy of frequency regulation with the participation of wind power and battery energy storage system was proposed in this paper. …”
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Theoretical Research and Simulation Experiment Analysis on Heat Transfer of Logging Tools by WANG Dongyu, ZHANG Chongru, WANG Xiaodong, WANG Jun, ZHANG Dingjie, CHEN Wenhui

“…A heat transfer model for a straight fin heat sink is constructed, and the heat dissipation efficiency of the fins is calculated. …”
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First Hitting Times on a Quantum Computer: Tracking vs. Local Monitoring, Topological Effects, and Dark States by Qingyuan Wang, Silin Ren, Ruoyu Yin, Klaus Ziegler, Eli Barkai, Sabine Tornow

“…Unlike classical hitting times, the statistical aspect of the problem depends on the way we construct the measured path, an effect that we quantify experimentally. …”
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Position-Aware Graph Neural Network for Few-Shot SAR Target Classification by Jia Zheng, Ming Li, Peng Zhang, Yan Wu, Hongmeng Chen

“…The PA-GNN conducts measurement by constructing multiple layers of GNN and utilizes residual learning to alleviate oversmoothing. …”
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Unsupervised Cross-Regional and Cross-Year Adaptation by Climate Indicator Discrepancy for Crop Classification by Hengbin Wang, Yu Yao, Junyi Liu, Xindan Zhang, Yuanyuan Zhao, Shaoming Li, Zhe Liu, Xiaodong Zhang, Yelu Zeng

“…In ClimID-UDA, we selected 6 climate variables representing the conditions of light, heat, water, and pressure and then constructed an index called climate indicator by calculating the barycenter of the 6 climate variables. …”
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From speech acts to communicative acts: social network debates about sexual consent by Elisabeth Torras-Gómez, Elisabeth Torras-Gómez, Arja Krauchenberg, Victor Petuya, Rebeca Marcos, Olga Serradell, Marta Soler-Gallart

“…IntroductionUnderstanding consent is essential to combat sexual violence, a deeply rooted social problem. Amidst its complexities, the scientific literature has emphasized the shortcomings of only considering the speech act—whether the victim-survivor said “yes” or not. …”
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Time-Optimal Stabilization of Asynchronous Boolean Control Networks Under State and Control Constraints by Haonan Wang, Shuping Wang, Ruohai Xi, Shuhua Gao

“…This paper investigates the problem of time-optimal stabilization in Boolean control networks (BCNs) with an asynchronous update scheme, subject to state and control constraints. …”
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State of Charge Prediction of Mine-Used LiFePO₄ Battery Based on PSO-Catboost by Dazhong Wang, Yinghui Chang, Pengfei Ji, Yanchun Suo, Ning Chen

“…Firstly, the classification model based on Catboost is constructed, and then the particle swarm algorithm is used to optimize the Catboost hyperparameters to build the optimal model. …”
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Enhanced diagnosis of planetary gear train faults based on bispectrum and attention mechanism deep convolutional generative adversarial networks by Dalian Yang, Yang Zhang, Renjie Li, Hui Long, Changzheng Huang

“…Abstract Aiming at the problem of inaccurate fault diagnosis caused by limited fault samples and challenging feature extraction in helicopter planetary gear trains, this study proposes a fault diagnosis method based on Bispectrum and Attention Mechanism Deep Convolutional Generative Adversarial Networks (BAMDCGAN). …”
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High-Quality Multispectral Image Reconstruction for the Spectral Camera Based on Ghost Imaging via Sparsity Constraints Using CoT-Unet by Tao Hu, Jianxia Chen, Shu Wang, Jianrong Wu, Ziyan Chen, Zhifu Tian, Ruipeng Ma, Di Wu

“…The two-dimensional contextual transformer is constructed to fully use contextual correlation information to enhance the effectiveness of feature representations. …”
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Grouping control of electric vehicles based on improved golden eagle optimization for peaking by Yang Yu, Yuhang Huo, Shixuan Gao, Qian Wu, Mai Liu, Xiao Chen, Xiaoming Zheng, Xinlei Cai

“…To address the problem of high lifespan loss and poor state of charge (SOC) balance of electric vehicles (EVs) participating in grid peak shaving, an improved golden eagle optimizer (IGEO) algorithm for EV grouping control strategy is proposed for peak shaving scenarios. …”
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Lightweight Explicit 3D Human Digitization via Normal Integration by Jiaxuan Liu, Jingyi Wu, Ruiyang Jing, Han Yu, Jing Liu, Liang Song

“…However, deploying large neural network models in practical applications remains challenging, particularly on resource-constrained edge devices. This problem is primarily because large neural network models require significantly higher computational power, which imposes greater demands on hardware capabilities and inference time. …”
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Simulation study on frost formation characteristics on the surface of cold storage evaporator by Fuqing ZHANG, Ye YAO, Haiyan QU, Bo CUI

“…Aiming at the frosting problem of evaporators in cold storage leading to significant decrease in heat transfer efficiency and damage to the cold storage, based on the theory of heat and mass transfer, combined with actual cold storage data, a modified relationship for the air heat transfer coefficient applicable to the frosting state of cold storage was established，and a dynamic model of frosting on the surface of the cold storage evaporator was constructed. …”
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High voltage direct current system-based generation and transmission expansion planning considering reactive power management of AC and DC stations by Ehsan Akbari, Ahad Faraji Naghibi, Mehdi Veisi, Sasan Pirouzi, Sheila Safaee

“…The HVDC system utilizes AC and DC substations equipped with AC/DC and DC/AC power electronic converters, respectively, to effectively regulate and control the reactive power of the transmission network. The problem aims to minimize the combined annual cost of constructing the specified parts and operating the generation units. …”
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Reconstruction for Scanning LiDAR with Array GM-APD on Mobile Platform by Di Liu, Jianfeng Sun, Wei Lu, Sining Li, Xin Zhou

“…Then, an optimization equation is constructed based on the negative-binomial distribution detection model of GM-APD. …”
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Multifidelity Multidisciplinary Design Optimization of Integral Solid Propellant Ramjet Supersonic Cruise Vehicles by Xiaojian Sun, Jianquan Ge, Tao Yang, Qiangqiang Xu, Bin Zhang

“…Secondly, two MDO frameworks were constructed through discipline codes. A low LoF MDO framework is suitable for conceptual design, and a medium LoF MDO framework is suitable for preliminary design. …”
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Detecting 3D Salinity Anomalies from Soil Sampling Points: A Case Study of the Yellow River Delta, China by Zhoushun Han, Xin Fu, Jianing Yu, Hengcai Zhang

“…Finally, we adopt 3D DBSCAN to construct anomalous candidates as a 3D soil-salinity anomaly structure. …”
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Yeast Oral Delivery of DAF16 shRNAs Results in Effective Gene Silencing in <i>C. elegans</i> by Benedetta Caraba, Arianna Montanari, Emily Schifano, Fabiana Stocchi, Giovanna Costanzo, Daniela Uccelletti, Cristina Mazzoni

“…Plant Parasitic Nematodes (PPNs) are a major problem in agriculture. Damage caused by PPNs has been estimated at USD 80–157 billion annually. …”
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