Adaptive optimisation of explosive reactive armour for protection against kinetic energy and shaped charge threats by Philipp Moldtmann, Julian Berk, Shannon Ryan, Andreas Klavzar, Jerome Limido, Christopher Lange, Santu Rana, Svetha Venkatesh

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Machine learning-based modelling and analysis of carbonation depth of recycled aggregate concrete by Xuyong Chen, Xuan Liu, Shukai Cheng, Xiaoya Bian, Xixuan Bai, Xin Zheng, Xiong Xu, Zhifeng Xu

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Buried PE Pipeline Location Method Based on Double-Tree Complex Wavelet Cross-Correlation Delay by Yang Li, Hanyu Zhang, Zhuo Xu, Ao Zhang, Xianfa Liu, Pengyao Sun, Xianchao Sun

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Autonomous Aircraft Tactical Pop-Up Attack Using Imitation and Generative Learning by Joao P. A. Dantas, Marcos R. O. A. Maximo, Takashi Yoneyama

“…The performances of these models were evaluated in terms of Root Mean Squared Error (RMSE), coefficient of determination (R2), training time, and inference time. …”
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A Study on Application of SPAR-H Method for Human Reliability Analysis of an Electric-electronic System of a Mechanism for Moving a Nuclear Fuel Irradiation Capsule by Eduardo Tadeu Stehling Saraiva, Vanderley Vasconcelos, Daniel Almeida Magalhães Campolina, Alessandra Lopes de Carvalho

“…In this work, the applicability of this technique to predict human error probabilities (HEPs) is illustrated as an example of a quantitative study to improve the safety and reliability of the DMC electric-electronic system through acting on human factors issues. …”
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The Impact of Surface Roughness on the Friction and Wear Performance of GCr15 Bearing Steel by Tiantian He, Wenbo Chen, Zeyuan Liu, Zhipeng Gong, Sanming Du, Yongzhen Zhang

“…Validation experiments show that the average prediction error for the BPNN model is 10.64%.…”
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Machine learning approach for multidimensional poverty estimation by Mario Esteban Ochoa Guaraca, Ricardo Castro, Alexander Arias Pallaroso, Antonia Machado, Dolores Sucozhañay

“… In the social sciences, a theoretical analysis has predominated in its research. The scarcity of data and its difficulty in collecting and storing it, has been the main limitation for the social sciences to adopt quantitative approaches. …”
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Improving parking availability prediction in smart cities with IoT and ensemble-based model by Stéphane Cédric Koumetio Tekouabou, El Arbi Abdellaoui Alaoui, Walid Cherif, Hassan Silkan

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Li-Ion Battery State of Health Estimation Based on Short Random Charging Segment and Improved Long Short-Term Memory by Aina Tian, Zhe Chen, Zhuangzhuang Pan, Chen Yang, Yuqin Wang, Kailang Dong, Yang Gao, Jiuchun Jiang

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A multi-scale temporal feature fusion framework for sheep voiceprint recognition by Xipeng Wang, Delong Wang, Weijiao Dai, Cheng Zhang, Yudongchen Liang, Yong Zhou, Juan Yao, Fang Tian

“…Voiceprint recognition technology is an effective way to identify individual sheep; however, related research is lacking. To this end, we propose a hybrid model based on the ResNet18 network and gated recurrent units (GRUs) to comprehensively represent the input data. …”
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Optimization of DCM boost chopper performance controlled by optimal PIDF regulator for stand-alone PV system by Ella Nkouna Paul Lionnel, Arnaud Obono Biyobo, Paul Owoundi Etouke, Yves Paulin Dangwe Sounsoumou, Reagan Jean Jacques Molu, Serge Raoul Dzonde Naoussi

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Enhancing water management in Northern European lowland chalk streams: A parsimonious, high-resolution hydrological model using groundwater level as a proxy for baseflow by Thomas Homan, Nicholas J.K. Howden, Ruth Barden, Barbara Kasprzyk-Hordern, Jan Hofman

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Hyperspectral signature-band extraction and adaptation for sugar content prediction on Ziziphus mauritiana and Syzygium samarangense by Yung-Jhe Yan, Jen-Tzung Chien, Zi-Yin Hong, Wen-Li Lee, Kuo-Dung Chiou, Chi-Cho Huang, Mang Ou-Yang

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Hardware-Accelerated Infrared Small Target Recognition Based on Energy-Weighted Local Uncertainty Measure by Xiaoqing Wang, Zhantao Zhang, Yujie Jiang, Kuanhao Liu, Yafei Li, Xuri Yao, Zixu Huang, Wei Zheng, Jingqi Zhang, Fu Zheng

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Towards vertical urban geometry extraction: occlusion-reduced estimation from street view images using diffusion models by Yizhen Yan, Bo Huang, Weixi Wang, Xiaolu Jiang, Linfu Xie, Man-On Pun, Renzhong Guo, Yunxiang Zhao

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SMART HYBRID MODELS FOR IMPROVED BREAST CANCER DETECTION by Nageswara Rao Gali, Panduranga Vital Terlapu, Yasaswini Mandavakuriti, Sai Manoj Somu, Madhavi Varanasi, Vijay Telugu, Maheswara Rao V V R

“…The conventional method for BC detection primarily relies on biopsy; this might be time-consuming and error prone. The substantial lives lost due to BC underscores its significant threat. …”
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Deep Learning Method for Breakdown Voltage and Forward <i>I-V</i> Characteristic Prediction of Silicon Carbide Schottky Barrier Diodes by Hao Zhou, Xiang Wang, Shulong Wang, Chenyu Liu, Dongliang Chen, Jiarui Li, Lan Ma, Guohao Zhang

“…After training for 1000 epochs, the deep learning-based model could predict not only point values like <i>V</i>_br but also curves, such as forward <i>I-V</i> characteristics, with a mean squared error (MSE) of less than 10⁻³. Our research shows the applicability and high efficiency of introducing deep learning into device characteristic prediction.…”
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Complex Model for Hot Metal Temperature Prediction: Torpedo Car and Ladle Processes by Milan Durdán, Ján Terpák, Marek Laciak, Ján Kačur, Patrik Flegner, Gabriel Tréfa

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Examining the relationship of inflation, gross domestic product, oil price, foreign direct investment, and trade openness on unemployment in Saudi Arabia by Lansheng Cao, Sayed Fayaz Ahmad, Yajun Wang, Syed Jamal Shah, Muhammad Ibrahim, Fuad Mohammed Alhamdi, Mahmoud Izzat Allaham, Ansar Abbas

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Medium and Long Term Wind Power Prediction Based on Graph Convolutional Network and Wind Velocity Differential Fitting by Zihan CHEN, Wei TENG, Xuefeng XU, Xian DING, Yibing LIU

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