An improved extreme learning machine algorithm for prospectivity mapping of copper deposits using multi-source remote sensing data: a case study in the North Altyn Tagh, Xinjiang,... by Boqi Yuan, Qinjun Wang, Wentao Xu, Chaokang He, Wenyue Xie

“…Traditional extreme learning machine (ELM) model suffers from instability due to random initialization of input weights and hidden-layer bias, often resulting in suboptimal predictive performance. …”
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A Method for Automatic Feature Points Extraction of Pelvic Surface Based on PointMLP_RegNet by Wei Kou, Rui Zhou, Hongmiao Zhang, Jianwen Cheng, Chi Zhu, Shaolong Kuang, Lihai Zhang, Lining Sun

“…It retains the feature extraction module of PointMLP but replaces the classification layer with a regression layer to predict the coordinates of feature points instead of conducting regular classification. …”
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Few-shot Named Entity Recognition via encoder and class intervention by Long Ding, Chunping Ouyang, Yongbin Liu, Zhihua Tao, Yaping Wan, Zheng Gao

“…In the real world, the large and complex nature of text increases the difficulty of tagging and results in a limited amount of tagged text. …”
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Study on the rheological properties of nano-SiO2 composite modified basalt mineral fiber asphalt mortar by Haiwei Gao, Nanxiang Zheng, Xiang Zhang, Zhihui Li, Zhuohong Cong

“…The taper entry test, dynamic shear rheology test, and bending beam rheology test were employed to analyze the variations in taper entry, shear strength, complex modulus (G*), phase angle ( δ ), rutting factor (G*/sin δ ), modulus of strength (S), and rate of change of strength (m) of the fiber asphalt mastic. …”
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Comparative Analysis of Artificial Neural Networks with Classical Regression Models for Predicting Dissolved Oxygen in Water by Ana Ivette Jater Ruiz, Francisco Primero Primero, Roberto Alejo Eleuterio, Francisco Javier Illescas Martínez, Federico Del Razo López, Everardo Granda

“…Our analysis shows that a Multi-Layer Perceptron (MLP) outperforms traditional regression approaches. …”
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Numerical Analysis Method of Water Inrush During Blasting in Water-Resistant Rock Mass Tunnels Based on FEM-SPH Coupling Algorithm by Yanqing Men, Zixuan Zhang, Jing Wang, Xiao Yu, Chuan Wang, Kai Wang, Xingzhi Ba

“…The FEM-SPH model demonstrates superior performance in simulating the complex interactions between blasting stress waves, water pressure, and rock mass damage. …”
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Phytoplankton blooming mechanisms over the East China Sea during post-El Niño summers by D.-G. Lee, D.-G. Lee, J.-H. Oh, J. Kam, J.-S. Kug, J.-S. Kug

“…Climate model simulations support these complex mechanisms, and thus our results suggest that all mechanisms can contribute to the phytoplankton bloom concurrently.…”
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A New Approach to Detect and Semi-quantify All Molecular Species and Classes of Anionic Phospholipids Simultaneously in Plant Samples by Manon Genva, Cécile Mirande-Bret, Laetitia Fouillen

“…Membranes are very complex and dynamic structures that are essential for plant cellular functions and whose lipidic composition can be influenced by numerous factors. …”
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Mycobacterium smegmatis Ribosome Purification, Co-sedimentation, and Subunit Association Assay by Aneek Banerjee, Sandip Dey, Krishnamoorthi Srinivasan, Ankit Dhur, Priya Baid, Jayati Sengupta

“…The ribosome, a complex macromolecular machine, plays a vital role in cellular translation. …”
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Unsupervised Learning for Machinery Adaptive Fault Detection Using Wide-Deep Convolutional Autoencoder with Kernelized Attention Mechanism by Hao Yan, Xiangfeng Si, Jianqiang Liang, Jian Duan, Tielin Shi

“…Applying deep learning to unsupervised bearing fault diagnosis in complex industrial environments is challenging. Traditional fault detection methods rely on labeled data, which is costly and labor-intensive to obtain. …”
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YOLOv8s-SNC: An Improved Safety-Helmet-Wearing Detection Algorithm Based on YOLOv8 by Daguang Han, Chunli Ying, Zhenhai Tian, Yanjie Dong, Liyuan Chen, Xuguang Wu, Zhiwen Jiang

“…However, traditional helmet detection methods often struggle with complex and dynamic environments. To address this challenge, we propose YOLOv8s-SNC, an improved YOLOv8 algorithm for robust helmet detection in industrial scenarios. …”
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A deep learning approach for early prediction of breast cancer neoadjuvant chemotherapy response on multistage bimodal ultrasound images by Jiang Xie, Jinzhu Wei, Huachan Shi, Zhe Lin, Jinsong Lu, Xueqing Zhang, Caifeng Wan

“…The BLFFM can effectively mine the highly complex correlation and complementary feature information between gray-scale ultrasound (GUS) and color Doppler blood flow imaging (CDFI). …”
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Predicting the mechanical behavior in FDM printing of biopolymers through boosting artificial neural networks by M. Laurenti, I. Bavasso, E. Palazzi, J. Tirillò, F. Sarasini, F. Berto

“…Additive Manufacturing (AM), and in particular Fused Deposition Modeling (FDM), offers unprecedented flexibility in fabricating complex geometries. However, the mechanical behavior of FDM-produced specimens is intricately dependent on a range of printing parameters and testing conditions. …”
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Co-evolution model of traffic travel and disease transmission under limited resources by Zhanhao Liang, Kadyrkulova Kyial Kudayberdievna, Guijun wu, Zhantu Liang, Batyrkanov Jenish Isakunovich, Wei Xiong, Wei Meng, Yukai Li

“…This study proposes a two-layer transportation network model integrating the Susceptible-Infectious-Susceptible (SIS) epidemic framework to address this gap. …”
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Compact classification using the biomimetic properties of ultrafast spiking microlaser neurons by Gibaek Kim, Matthieu Dubernard, Sami V El-Nakouzi, Amir-Hossein Masominia, Sylvain Barbay, Laurie E Calvet

“…The resulting classification accuracy is comparable to that of a multi-layer perceptron with higher structural complexity. …”
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Thermo mechanical Finite Element Analysis of the plasma Wire Arc Additive Manufacturing process in DEFORM® 13 by Marcel Czipin, Alexander Wenda, Karin Hartl, Emre Akalin, Martin Stockinger

“…The temperature dependent material model for Ti–6Al–4V was extended and adapted to improve the representation of contact boundary conditions within DEFORM®, focusing on Additive Manufacturing. A single layer quad-mesh approach was employed alongside dummy heat sources to simulate the process by accurate layer wise activation within the arc welding module. …”
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StarCD-Net: A Remote Sensing Change Detection Method Combining StarNet and Differential Operators by Caijia Zeng, Xiaorong Xue, Chuanlu Li, Xingbiao Xu, Siyue Zhao, Yifan Xu

“…Although deep learning models have demonstrated good performance in change detection tasks, they still face challenges when dealing with some complex scenes, such as possible insufficient feature extraction and pixel loss at the target edges. …”
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Numerical modelling of rainfall-induced internal erosion process within vegetated deposited slopes by Xiaoqin Lei, Weiyu Zhang, Siming He, Shishu Zhang, Zongji Yang, Changbing Qin, Xiaoqing Chen

“…The hydro-mechanical responses of vegetated deposited slopes are complex and far from clear. On one hand, the soils in deposited slopes are typically poorly consolidated and widely graded, making them vulnerable to internal erosion during rainfall infiltration. …”
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Influence of multi-point laser shock peening process on surficial mechanical properties in gear steels by XUE Cheng, LEI Duncai, YAN Xueyuan, ZANG Shunlai, DONG Hongtao, YOU Zhiwei

“…For the gears of aero-engine accessory system，the complex working environment requires high fatigue resistance and wear resistance on the gear surface. …”
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Sustained slow-release TGF-β3 in a three-dimensional-printed titanium microporous scaffold composite system promotes ligament-to-bone healing by Liwei Zhu, Yuzhe Liu, Yifu Sun, Zhenjia Che, Youbin Li, Tengyue Liu, Xudong Li, Chengzhe Yang, Lanfeng Huang

“…Orderly healing of the fibrocartilage layer and mineralized bone layer is crucial for treating tendon-bone interface injuries. …”
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