Performance Analysis and Operation Parameter Optimization of Shaker-Type Harvesting for Camellia Fruits by Qiaoming Gao, Jianfeng Han, Shan Zeng, Yu Wang, Wei Wei, Dongxue Wang, Hang Ye, Jing Lu, Haoxiang Zeng

“…Meanwhile, under these operational parameters, the harvesting efficiency reached 96.97%, while the flower bud damage rate was only 6%.…”
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Photon-Counting Underwater Wireless Optical Communication by Recovering Clock and Data From Discrete Single Photon Pulses by Qiurong Yan, Zihang Li, Zhu Hong, Ting Zhan, Yuhao Wang

“…To realize a long-distance underwater communication by using low-cost light emitting diode (LED) and single photon avalanche diode (SPAD), we proposed a method for recovering clock and data directly from discrete random pulse sequences output by SPAD. …”
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Multi‐operating characteristic analysis and loss optimization of novel large capacity high‐speed permanent magnet generator by Bitian Ye, Ying Xie, Wei Cai, Huiyong Jin, Yutian Sun, Jing Bai

“…The correctness of the analysis and optimization method is verified by comparing the loss distribution and electromagnetic results before and after the optimization. …”
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Pixels relationship analysis for extracting building footprints by A. Emelyanov, A. Emelyanov, V. Knyaz, V. Knyaz, V. Kniaz, V. Kniaz, D. Artist

“…According to the experimental results, the algorithm shows high efficiency: IOU (intersection over union) = 91.2%, AP (average precision) = 64.1% and AR (average recall) = 75.1%, comparable to leading building boundary extraction methods such as PolyWorld.…”
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A Hankelization-Based Neural Network-Assisted Signal Classification in Integrated Sensing and Communication Systems by Linyi Zhang, Mustafa Ozger, Woong-Hee Lee

“…In this paper, we introduce a neural network (NN)-based framework aimed at classifying sensing and communication signals at base stations, improving the efficiency of integrated sensing and communication (ISAC) systems in a bistatic configuration. …”
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Enhancing the mechanical properties of 3D-Printed polylactic acid through pellet additive manufacturing: A grey relational analysis based on entropy weights by Radhika Mandala, B. Anjaneya Prasad, Suresh Akella

“…The most prevalent and extensively employed additive manufacturing (AM) approach method is fused deposition modeling (FDM), which uses filament as feedstock. …”
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Fault-Tolerant Scheduling Mechanism for Dynamic Edge Computing Scenarios Based on Graph Reinforcement Learning by Yuze Zhang, Geming Xia, Chaodong Yu, Hongcheng Li, Hongfeng Li

“…The model generates fault-tolerant scheduling actions as output, ensuring robust performance in dynamic environments. …”
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Voltage optimization strategy for active distribution network based on distributed photovoltaic cluster control by Chunrong JIANG, Bowen ZHU, Xufeng ZHOU, Jiani LU, Aidong ZENG

“…Firstly, with economic operation as the objective,shiftable load dispatch, the tap positions of on-load tap-changing transformers, and the output of capacitor banks are determined in the day-ahead stage. …”
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Machine learning based intrusion detection framework for detecting security attacks in internet of things by V. Kantharaju, H. Suresh, M. Niranjanamurthy, Syed Immamul Ansarullah, Farhan Amin, Amerah Alabrah

“…Intrusion detection systems using deep learning are a common method used for providing security in IoT. However, traditional deep learning IDS systems do not accurately classify the attack and also require high computation time. …”
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Partially Connected Hybrid Precoder Design for Wideband Near-field Integrated Sensing and Communications by Xiangrong WANG, Shuotong YU, Weitong ZHAI, Jin XU, Wenrui DING

“…Aiming to enhance sensing resolution and improve spectral efficiency, future Integrated Sensing And Communications (ISAC) systems are expected to incorporate extremely large-scale (XL) arrays and large bandwidths centered around high carrier frequencies. …”
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System Optimization Scheduling Considering the Full Process of Electrolytic Aluminum Production and the Integration of Thermal Power and Energy Storage by Yulong Yang, Han Yan, Jiaqi Wang, Weiyang Liu, Zhongwen Yan

“…Firstly, to explore the differentiated response capabilities of various devices such as high-energy-consuming electrolytic aluminum units, thermal power units, and energy storage devices to effectively address uncertain variables in the power system, a Variational Mode Decomposition method is introduced to construct differentiated response methods for its low-frequency, medium-frequency, and high-frequency components. …”
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YOLO-LPSS: A Lightweight and Precise Detection Model for Small Sea Ships by Liran Shen, Tianchun Gao, Qingbo Yin

“…The characteristics of YOLO-LPSS are as follows: (1) Strengthening the backbone’s ability to extract and emphasize features relevant to small ship objects, particularly in semantic-rich layers. (2) A sophisticated, learnable method for up-sampling processes is employed, taking into account both deep image information and semantic information. (3) Introducing a post-processing mechanism in the final output of the resampling process to restore the missing local region features in the high-resolution feature map and capture the global-dependence features. …”
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Recycling Decommissioned Wind Turbine Blades for Post-Disaster Housing Applications by Cihan Turhan, Murat Durak, Yousif Abed Saleh Saleh, Alper Kalaycı

“…Overall, the output of this study may help to present a compelling case for the innovative reuse of decommissioned wind turbine blades, providing an eco-friendly alternative to traditional waste disposal methods while addressing critical needs in post-disaster scenarios.…”
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Research on Sensorless Technology of a Magnetic Suspension Flywheel Battery Based on a Genetic BP Neural Network by Weiyu Zhang, Fei Guo

“…The experimental results show that the method can effectively reduce feedback errors, improve the control accuracy, and output optimal control parameters in real time under complex road conditions, which significantly improves the reliability and control performance of the vehicle flywheel battery system.…”
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Using pseudo-AI submissions for detecting AI-generated code by Shariq Bashir

“…Students may use these tools inappropriately for their programming assignments, and there currently are not reliable methods to detect AI-generated code. It is important to address this issue to protect academic integrity while allowing the constructive use of AI tools. …”
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Ethical Leadership and Its Role in Organizational Commitment by Hafizullah Hakimi

“…These findings hold the potential to guide administrators and policymakers in improvising strategies aimed at elevating employee commitment, satisfaction, motivation, retention, and output, thereby playing a pivotal role in supporting performance and operational efficiency.…”
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Full-scale wind turbine performance assessment: a customised, sensor-augmented aeroelastic modelling approach by T. H. Malik, C. Bak

“…This research builds on an established turbine performance integral (TPI) method with a sensor-augmented aeroelastic modelling approach to enhance wind turbine performance assessment, focusing on blade erosion. …”
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Lithium-containing radiator materials for neutron ionization chambers by Petr B. Baskov, Boris S. Salamakha, Yakov V. Glazyuk, Artur A. Namakshinas, Sergey A. Bondarenko, Ilya M. Mushin, Alexander S. Khudin

“…Measurements at an alpha spectrometric facility have shown that the coating has a high energy output (~ 2.8·10–3 MeV/neutron), which remains stable after four thermal cycles of up to 600 °C. …”
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AI for tribology: Present and future by Nian Yin, Pufan Yang, Songkai Liu, Shuaihang Pan, Zhinan Zhang

“…Ultimately, it aspires to enhance the efficiency of problem-solving in tribology.…”
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Mine Microseismic Signal Denoising Based on a Deep Convolutional Autoencoder by Ting Hu, Bin Xu, Yongfa Wang, Jiayi Zhu, Jiang Zhou, Zhongyi Wan

“…Moreover, it can achieve a better denoising effect efficiently even in the case of a low SNR, which has obvious advantages. …”
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