Real-Time Fault Diagnosis of Mooring Chain Jack Hydraulic System Based on Multi-Scale Feature Fusion Under Diverse Operating Conditions by Yujia Liu, Wenhua Li, Haoran Ye, Shanying Lin, Lei Hong

“…The chain jack (CJ) is the key equipment for powering the mooring chain in a spread mooring system. Under complex and dynamic marine operating conditions, different severity faults in the CJ hydraulic system display distinct time-scale characteristics. …”
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An Enhanced Approach for Remaining Useful Life Prediction of Bearings Using Incomplete Lifecycle Data by Xunmeng An, Chao Zhang, Caiye Liu, Wentao Zhao

“…Experimental results demonstrate that the proposed algorithm effectively captures the complex dynamic behavior of rolling bearings, achieving high accuracy and generalization in RUL prediction.…”
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Integration of OWL Password-Authenticated Key Exchange Protocol to Enhance IoT Application Protocols by Yair Rivera Julio, Angel Pinto Mangones, Juan Torres Tovio, María Clara Gómez-Álvarez, Dixon Salcedo

“…The rapid expansion of the IoT has led to increasing concerns about security, particularly in the early stages of communication where many IoT application-layer protocols, such as CoAP and MQTT, lack native support for secure key exchange. …”
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Nanocompositional Electron Microscopic Analysis and Role of Grain Boundary Phase of Isotropically Oriented Nd-Fe-B Magnets by Gregor A. Zickler, Josef Fidler

“…In summary our study shows an increase of coercive field in isotropically oriented Nd-Fe-B magnets for GB layer thickness > 5 nm and an average Js value of the GB layer < 0.8 T compared to the magnet with perfectly aligned grains.…”
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Research on Performance and Function Testing of V2X in a Closed Test Field by Runmin Wang, Xinrui Zhang, Zhigang Xu, Xiangmo Zhao, Xiaochi Li

“…According to the analytical viewpoint from the physical layer and MAC layer, the proposed research systematically analyses the technical differences of DSRC and LTE-V, which are two typical V2X protocols, in terms of vehicle speed, communication distance, and channel adaptability. …”
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CMSAF-Net: integrative network design with enhanced decoder for precision segmentation of pear leaf diseases by Jie Ding, Wenwen Xu, Xin Shu, Wenyu Wang, Shuxia Chen, Yunzhi Wu

“…CMSAF-Net integrates a Multi-scale Convolutional Attention Module (MBCA), a Self-adaptive Attention-augmented Upsampling Module (SAUP), and a Cross-layer Feature Alignment Module (CGAG) to enhance feature extraction, preserve edge information in complex disease regions, and optimize cross-layer information fusion. …”
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Evaluation of the seafloor structural setting of Alamein New City offshore area, Egypt by Amr Z. Hamouda, Mohamed M. Gobashy, Khaled S. Soliman, Mohamed A. Nassar, Suzan M. El-Gharabawy

“…This zone has characterized by the thickest layer of sediment in the study area. Whereas the middle zone (Z2) showed the highest values of rugosity due to the slope where the ridge exists and has complex backscatter strength with finer thick of sediment. …”
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Dynamic Response of Seismic Dangerous Rock Based on PFC and Dynamics by Yun Tian, Linfeng Wang, Honghua Jin, Biao Zeng

“…The calculation method of interlayer load and stability coefficient of horizontal complex layered rock slopes in high-intensity areas is established from material mechanics, fracture mechanics, and dynamics. …”
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An Improved Phase Space Reconstruction Method-Based Hybrid Model for Chaotic Traffic Flow Prediction by Yue Hou, Da Li, Di Zhang, Zhiyuan Deng

“…Secondly, to address the problem of insufficient learning ability of traditional convolutional combinatorial modeling for complex phase space laws of chaotic traffic flow, the high-dimensional phase space features are extracted using the layer-by-layer pretraining mechanism of convolutional deep belief networks (CDBNs), and the temporal features are extracted by combining with long short-term memory (LSTM). …”
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Study of Wheat Grain Structure by Digital Radiography by R. Yu. Antonov

“…A mathematical model for the transmission of X-ray radiation in wheat grain was constructed, taking into account its complex shape and the heterogeneous distribution of macroelements therein. …”
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Development of a machine learning-based risk assessment model for loneliness among elderly Chinese: a cross-sectional study based on Chinese longitudinal healthy longevity survey by Youbei Lin, Chuang Li, Xiuli Wang, Hongyu Li

“…Analysis identified 15 evaluative factors and evaluated seven models. Multi-layer perceptron stands out for its strong nonlinear mapping capability and adaptability to complex data, making it one of the most effective models for assessing loneliness risk. …”
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Boomerang and bones: Refining the chronology of the Early Upper Paleolithic at Obłazowa Cave, Poland. by Sahra Talamo, Nicole Casaccia, Michael P Richards, Lukas Wacker, Laura Tassoni, Adam Nadachowski, Anna Kraszewska, Magda Kowal, Jakub Skłucki, Christopher Barrington, Monica Kelly, Frankie Tait, Mia Williams, Carla Figus, Antonino Vazzana, Ginevra Di Bernardo, Matteo Romandini, Giovanni Di Domenico, Stefano Benazzi, Cristina Malegori, Giorgia Sciutto, Paolo Oliveri, Jean-Jacques Hublin, Mateja Hajdinjak, Pontus Skoglund, Andrea Picin, Paweł Valde-Nowak

“…Among these remarkable artifacts is a complete mammoth tusk boomerang from Layer VIII of Obłazowa Cave, Poland, found in association with a human phalanx. …”
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The artificial intelligence-based agricultural field irrigation warning system using GA-BP neural network under smart agriculture. by Xiying Wang

“…Moreover, it is suitable for the irrigation flow prediction task with complex environmental factors in smart agriculture. …”
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Local piezoelectric properties of perforated ferroelectric barium–strontium titanate films by N. E. Sherstyuk

“…The properties of this layer are due to two factors: amorphization of the structure as a result of the focused ion beam etching and the appearance of pinned domain states near the hole, leading to the formation of the complex piezoresponse distribution both at the hole boundary and in the gap between the perforations. …”
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The Size of the Foveal Avascular Zone Is Associated with Foveal Thickness and Structure in Premature Children by Akiko Miki, Yuko Yamada, Makoto Nakamura

“…The area of FAZ in the superficial layer was measured. Foveal thickness (FT), ganglion cell complex thickness, and the presence of inner retinal layer (IRL) at the fovea were evaluated. …”
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Large-Scale Urban 3D Geological Modeling Based on Multi-Method Coupling Under Multi-Source Heterogeneous Data Conditions by Jixiang Zhu, Xiaoyuan Zhou, Lizhong Zhang

“…By utilizing the standardized stratigraphy as a unified and independent geological framework for layered modeling, a high-precision 3D geological model of Wuhan’s MDA, characterized by large-scale and ultra-complex geological conditions, is constructed through a methodology that integrates the global discrete constrained points modeling approach with the global layered modeling approach, without generalizing the multi-source heterogeneous modeling data. …”
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Optimization of Battery Thermal Management for Real Vehicles via Driving Condition Prediction Using Neural Networks by Haozhe Zhang, Jiashun Zhang, Tianchang Song, Xu Zhao, Yulong Zhang, Shupeng Zhao

“…The results show that the strategy significantly improves battery safety and system economy under complex working conditions by prospectively optimizing heat dissipation and energy consumption, providing an efficient solution for intelligent thermal management.…”
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A Hierarchical Planning Method for AUV Search Tasks Based on the Snake Optimization Algorithm by Zhiwen Wen, Zhong Wang, Xiangdong Wen, Chenxi Niu, Pei Wang, Daming Zhou

“…In a complex and dynamic battlefield environment, enabling autonomous underwater vehicles (AUVs) to reach dynamic targets in the shortest possible time using global autonomous planning is a key issue affecting the completion of search tasks. …”
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Research on fault diagnosis of CTCS on-board equipment based on knowledge graph by CHEN Huiyuan

“…The knowledge graph model layer and data layer are separated by a business middle platform and a data middle platform within the entire system, which is ultimately constructed following a micro-service architecture. …”
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Adaptive Global Dense Nested Reasoning Network into Small Target Detection in Large-Scale Hyperspectral Remote Sensing Image by Siyu Zhan, Yuxuan Yang, Muge Zhong, Guoming Lu, Xinyu Zhou

“…Small and dim target detection is a critical challenge in hyperspectral remote sensing, particularly in complex, large-scale scenes where spectral variability across diverse land cover types complicates the detection process. …”
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