Finite-size effects in molecular simulations: a physico-mathematical view by Benedikt M. Reible, Carsten Hartmann, Luigi Delle Site

“…Here this feature is treated employing the same statistical mechanics framework developed for the first problem.…”
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Advanced image preprocessing and context-aware spatial decomposition for enhanced breast cancer segmentation by G. Kalpana, N. Deepa, D. Dhinakaran

“…In this paper, we propose a new solution that integrates with AIPT (Advanced Image Preprocessing Techniques) and CASDN (Context-Aware Spatial Decomposition Network) to overcome these problems. The preprocessing pipeline apply bunch of methods including Adaptive Thresholding, Hierarchical Contrast Normalization, Contextual Feature Augmentation, Multi-Scale Region Enhancement, and Dynamic Histogram Equalization for image quality. …”
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Neural Network Based on Dynamic Collaboration of Flows for Temporal Downscaling by Junkai Wang, Lianlei Lin, Yu Zhang, Zongwei Zhang, Sheng Gao, Hanqing Zhao

“…Traditional methods often face the problems of high computing cost and poor generalization ability. …”
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MSA-Net: multiple self-attention mechanism for 3D lung nodule classification in CT images by Jiating Pan, Lishi Liang, Peng Sun, Yongbo Liang, Jianming Zhu, Zhencheng Chen

“…Our approach introduced the 3D RTConvBlock, which employed multiple self-attention mechanisms for the extraction of spatial features. This enabled the extraction of specific spatial feature information by combining local features, global information, and dependencies between features. …”
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Fault Diagnosis under Variable Working Conditions Based on STFT and Transfer Deep Residual Network by Yan Du, Aiming Wang, Shuai Wang, Baomei He, Guoying Meng

“…However, fault diagnosis under variable working conditions has been a significant challenge due to the domain discrepancy problem. This problem is also unavoidable in deep learning-based fault diagnosis methods. …”
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A Review of Research on Flight Delay Propagation: Current Situation and Prospect by N. Li, H. G. Yao

“…Studying delay propagation can block its propagation path and alleviate large-scale delay problems. This paper first systematically collects relevant academic literature from the past decade and constructs a co-occurrence keyword network to analyze and reveal the research hotspots in flight delay propagation. …”
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Rumor detection model with weighted GraphSAGE focusing on node location by Manfu Ma, Cong Zhang, Yong Li, Jiahao Chen, Xuegang Wang

“…To address these problems, we propose a location-aware weighted GraphSAGE rumor detection model GSMA. …”
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Domain-informed CNN architectures for downscaling regional wind forecasts by Alexander M. Campbell, Simon C. Warder, B. Bhaskaran, Matthew D. Piggott

“…The domain-informed AI architecture presented in this work seeks to address these problems by incorporating prior static fields directly into the model architecture. …”
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Cost Optimization for Logistics Services: A Simulation Approach to Delivery Alternatives by Farida Sihotang

“…In existing conditions, problems often arise, namely, goods do not reach customers according to the agreed time. …”
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Cross-domain 3D Model Retrieval Based on Viewpoint Alignment by ZHANG Libao, WANG Tao, GAO Zheng, DING Bo, HE Yongjun

“…Finally, the prepared data are used to train a Triplet Network which maps the pseudo-sketches and sketches to the common feature embedding space. The Triplet Network is finally used to extract features and build indexes for sketch retrieval. …”
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UAV-based inspection of wind turbine blade surface defects detection technology by TAN Xingguo, ZHANG Gaoming

“…With the increasing scale of wind turbines, the damage probability of blades is also increasing. Aiming at the problems of high cost and poor working environment of large-scale wind turbine blade defect detection, a wind turbine blade surface defect detection method based on UAV image acquisition and digital image processing is proposed in this paper. …”
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Congenital Arthrogryposis: An Extension of the 15q11.2 BP1-BP2 Microdeletion Syndrome? by K. M. Usrey, C. A. Williams, M. Dasouki, L. C. Fairbrother, M. G. Butler

“…Microdeletions within the 15q11.2 BP1-BP2 region have been reported in patients with neurological dysfunction, developmental delays, behavioral problems, and dysmorphic features. We report two unrelated subjects with the 15q11.2 BP1-BP2 microdeletion and presenting with congenital arthrogryposis, a feature which has not been previously reported as part of this newly recognized microdeletion syndrome. …”
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Theoretical foundations of processbased management of technological processes in agricultural enterprises by V. I. Zarubin, I. M. Savitskaya, S. V. Gorbanev

“…In this regard, the most important feature of process –based management is its focus on the results. …”
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C-parameter version of robust bounded one-class support vector classification by Junyou Ye, Zhixia Yang, Yongxing Hu, Zheng Zhang

“…The theoretical properties of the proposed method are successively derived, including the relationship between the solutions to the primal and dual problems, the connections between our C-BOCSVC and $$\nu$$ -OCSVC and the computational complexity. …”
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A Dynamic State Cluster-Based Particle Swarm Optimization Algorithm by Zhenya Diao, Fei Yu, Hongrun Wu, Xuewen Xia

“…In addition, the Wilcoxon-test of the algorithm verifies the validity of the algorithm, and also applies the algorithm to a high-dimensional feature selection problem, which demonstrates the ability of the proposed algorithm to solve real-world problems.…”
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The silent scream of nurses: a qualitative study by Gülşah Kayserilioğlu, Özlem Ülkü Bulut

“…The anecdotes were analyzed through the "Novel, Story, Epic, Tale, Diary, Memory, Mythology and Analogous Rating Scale". Results. Three sub-problems are discussed in this research. Data related to each sub-problem were collected and analyzed. …”
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Remote Sensing Change Detection With Forward–Backward Diffusion and Multidirectional Scanning by Hexin Yuan, Peng Wang, Haibo Wang, Cui Ni, Yali Liu, Chao Ma

“…Finally, the multidirectional scanning strategy, which is enhanced by an attention mechanism, is applied in the decoder to address the leakage problem associated with large continuous change regions. …”
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Hybrid Machine Learning Model for Predicting Shear Strength of Rock Joints by Daxing Lei, Yaoping Zhang, Zhigang Lu, Hang Lin, Yifan Chen

“…However, traditional machine learning (ML) models often suffer from local optima and limited generalization ability when dealing with complex nonlinear problems, thereby compromising prediction accuracy and stability. …”
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Point Data Registration With the Multi-Object, Cardinalized Optimal Linear Assignment Metric by Pablo A. Barrios, Vicente Guzman, Martin D. Adams, Claudio A. Perez

“…The Iterative Closest Point (ICP) algorithm and its variants were initially used to solve such problems and since then, various global methods have been proposed to improve registration when data outliers exist. …”
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An Interpretability Method for Broken Wire Detection by Hailong Wu, Shaoqing Liu, Zhanghou Xu, Zhenshan Ji, Mengpeng Qian, Xiaolin Yuan, Yong Wang

“…Nevertheless, the black box problem of the model brings a new trust challenge, and it is difficult to determine the correctness of the model’s decision and whether it has any potential problems, so an interpretability study needed to be carried out. …”
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