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  1. 2341

    Structural Redundancy Assessment of Adjacent Precast Concrete Box-Beam Bridges in Service by Yanling Leng, Jinquan Zhang, Ruinian Jiang, Yangjian Xiao

    Published 2020-01-01
    “…To tackle this problem, a new simplified approach based on linear FE analysis and field load testing is introduced in this paper to address the particular structural feature and topology of adjacent precast concrete box-beam bridges for the assessment of structural redundancy. …”
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  2. 2342

    A New Coupled‐Inductor‐Based Quadratic DC/DC Converter With Low Current Stress by Sara Hasanpour, Sze Sing Lee

    Published 2025-04-01
    “…In the presented topology, a three‐winding coupled‐inductor (TWCI) and a switch‐capacitor network are employed in a classic quadratic boost converter to produce a high voltage gain while ensuring continuous input current and common ground between the input source and output load sides. This circuit has a semi‐trans‐inverse feature; therefore, higher voltage gain can be obtained under a very low number of turn ratios of the TWCI. …”
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  3. 2343

    Characteristic changes the bending moments in shell of soil-steel structures by Czesław Machelski

    Published 2021-01-01
    “…Abstract: There are two structural subsystems in the soil-steel structure model: a flexible corrugated steel shell and a soil backfill. A characteristic feature of the analyzed structures, in contrast to classic bridges, e.g. brick ones, is a very large influence of the soil backfill on in- ternal forces and deformation of the steel shell. …”
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  4. 2344

    Plate Tectonics and Metamorphism: Teaching Complex Systems Using Videos and Animations by Siloa Willis, Robert J. Stern

    Published 2025-02-01
    “…The intervention includes an innovative assessment procedure featuring embedded QR codes, allowing participants to complete pre- and post-tests seamlessly. …”
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  5. 2345

    Analysis of Faults in Sewage Systems with Geographical Information Systems by Selva GÖK, Mahmut FIRAT

    Published 2021-06-01
    “…It has been observed that factors such as pipe diameter and length, season, traffic load, ground feature, and improper use are effective in the increase in fault density. …”
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  6. 2346

    Multifunctional reconfigurable reflective metasurface for polarization conversion by K. Neema, Deepti Das Krishna

    Published 2025-07-01
    “…The proposed metasurface unit cell, when loaded with PIN diodes, allows for switching between the multifunctional operations mentioned earlier and a simple reflection operation over the same frequency bands. …”
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  7. 2347

    Improving the Slippage Resistance of Successors of the Mars Instrument “Heat Flow Property Package Instrument” (HP3) Using Bekker’s Spaced-Linked Track by Siebo Reershemius

    Published 2020-01-01
    “…It is presented how the major design feature can be incorporated into the current design. …”
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  8. 2348

    YOLO-BCD: A Lightweight Multi-Module Fusion Network for Real-Time Sheep Pose Estimation by Chaojie Sun, Junguo Hu, Qingyue Wang, Chao Zhu, Lei Chen, Chunmei Shi

    Published 2025-04-01
    “…The proposed architecture employs a multi-level lightweight design incorporating enhanced feature fusion mechanisms and spatial-channel attention modules, effectively improving detection performance in complex farm environments with occlusions and variable lighting. …”
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  9. 2349

    A case study of optimal design and techno-economic analysis of an islanded AC microgrid by M. S. Elborlsy, R. M. Mostafa, Mohamed A. Ghalib, Shimaa Barakat, H. E. Keshta

    Published 2025-04-01
    “…The results indicate that the proposed control strategy effectively maintains system frequency and voltage amid various disturbances, improves dynamic performance, and achieves a balanced power generation and load demand. Additionally, the proposed controller demonstrates superior dynamic response, featuring reduced overshoot, undershoot, ITAE, and settling time compared to the others.…”
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  10. 2350

    Experimental Study on the Seismic Performance of Confined High Walls of Autoclaved Aerated Concrete Panels Used in Subway Stations by Xiaowei Li, Qidi Zhang, Han Bao, Yong Yao, Zhaoqiang Zhang

    Published 2025-01-01
    “…This study addresses the unique challenge of the partition walls in subway stations, featuring high height, fire prevention, and located outside the main frames, by introducing a confined autoclaved aerated concrete (AAC) panel wall system. …”
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  11. 2351

    Latency and energy-efficient multi-hop routing protocol for unmanned aerial vehicle networks by Abdelhamied A Ateya, Ammar Muthanna, Irina Gudkova, Yuliya Gaidamaka, Abeer D Algarni

    Published 2019-08-01
    “…The proposed multi-objective optimized link state routing protocol routing algorithm considers all modified versions of optimized link state routing protocol and introduces a novel method for selecting multipoint relay nodes that considers the traffic load on the communication channel and the load on each unmanned aerial vehicle node. …”
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  12. 2352

    Selection and Application of the Data Transfer Operating Protocol Software Architecture for the Software-Defined Radio by Oleg V. Vorobyov, Alexey I. Rybakov

    Published 2019-10-01
    “…This is done to ensure the maximum load factor of the channel while ensuring an acceptable level of performance. …”
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  13. 2353

    An enhanced lightweight model for apple leaf disease detection in complex orchard environments by Ge Wang, Wenjie Sang, Fangqian Xu, Yuteng Gao, Yue Han, Qiang Liu

    Published 2025-03-01
    “…To address the challenges of detecting small-target diseases on apple leaves in complex backgrounds and difficulty in mobile deployment, we propose an enhanced lightweight model, ELM-YOLOv8n.To mitigate the high consumption of computational resources in real-time deployment of existing models, we integrate the Fasternet Block into the C2f of the backbone network and neck network, effectively reducing the parameter count and the computational load of the model. In order to enhance the network’s anti-interference ability in complex backgrounds and its capacity to differentiate between similar diseases, we incorporate an Efficient Multi-Scale Attention (EMA) within the deep structure of the network for in-depth feature extraction. …”
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  14. 2354

    A multi-attention TCN based electricity price forecasting method considering high proportion of wind power fluctuation by LI Zikai, YANG Bo, ZHOU Zhongtang, LI Xin, CHEN Fengwei, JIAO Runhai

    Published 2025-03-01
    “…This paper analyzes the cyclical characteristics of electricity prices, focusing on the impact of wind power fluctuations on electricity prices. Using load and wind power, a new feature is constructed to characterize the impact of variations in electricity generation capacity of other high-cost power generation methods on electricity prices. …”
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  15. 2355

    A Detection Method of Lentinus Edodes Based on Improved YOLOv4 Algorithm by HUANG Ying-lai, LI Da-ming, LU Xin, YANG Liu-song

    Published 2022-08-01
    “…In order to explore the picking of Lentinus edodes which are cultivated in bags, a recognition algorithm based on improved YOLOv4 is proposed.The main improvement measures are: in the structure of PANet (Path Aggregation Network), we add a feature map path with residual attention mechanism to improve the recognition accuracy of small targets, and replace the convolution layer in PANet network with deep separable convolution structure to reduce the amount of parameters.Focal loss is selected to improve the original confidence loss function.In the aspect of data preprocessing, gamma transform method is used to enhance and expand the data.In the training process, the idea of transfer learning is used to load the pre training weight of VOC data set on the backbone network.Compared with the original YOLOv4 algorithm, the mAP value is increased by 4.82 percentage points to 94.39%, and the amount of algorithm parameters is reduced by 58.13%.The algorithm is more efficient and lightweight, providing visual algorithm support for mechanical picking.…”
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  16. 2356

    Compact hydraulic humanoid robot design optimized for enhanced joint power and heat dissipation by Shengyu Lu, Chenghao Hu, Sicheng Xie, Jingyuan Li, Liang Gao, Xinyu Li, Yiping Gao

    Published 2025-07-01
    “…Humanoid robots feature a small support base and high flexibility; hydraulic humanoid robots provide additional advantages, including high power output and density. …”
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  17. 2357

    Energy management system using RF module by Vardhan R. Harsha, Reddy C. Harinatha, Prasad R. Ramanjan, Pakkiraiah B., Vardhan L. Harsha

    Published 2025-01-01
    “…This is extremely convenient for users as they can control their house loads at any time and from any place (depends on range of the RF module). …”
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  18. 2358

    Modular nine-level single-phase inverter with quadruple voltage gain using reduced blocking voltage switches by V. Fernão Pires, Armando Cordeiro, Daniel Foito, Joaquim Monteiro, Hao Chen, J. Fernando Silva

    Published 2025-03-01
    “…The suggested solution includes a transformerless, single-phase, nine-level voltage source inverter that cuts down on the number of passive parts that are needed while still achieving a high-voltage gain of up to four times the input DC voltage sources. An essential feature of this topology is that all the switches are subjected to a maximum blocking voltage four times lower than the maximum AC voltage that can be applied to the load. …”
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  19. 2359

    New Durability Assurance Technologies for the Shenzhen Zhongshan Cross-Sea Bridge by Huanyong Chen, Di Wang

    Published 2025-03-01
    “…The Shenzhen–Zhongshan Link (Shenzhong Link) is the world's first integrated cross-sea cluster project featuring a "bridge-island‒tunnel-undersea interchange", and it is a key national project. …”
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  20. 2360

    A One-Dimensional Depthwise Separable Convolutional Neural Network for Bearing Fault Diagnosis Implemented on FPGA by Yu-Pei Liang, Hao Chen, Ching-Che Chung

    Published 2024-12-01
    “…The design processes the one-dimensional rolling bearing current signal dataset provided by Paderborn University (PU), employing minimal preprocessing to maximize the comprehensiveness of feature extraction. To address the high parameter demands commonly associated with convolutional neural networks (CNNs), the model incorporates DSC, significantly reducing computational complexity and parameter load. …”
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