Deep Embedded Auto-encoder for End-to-End Unsupervised Image Anomaly Detection by Xuan Huang, Hailin Tang

“…Our approach integrates deep representation learning with adaptive clustering to effectively separate normal patterns from anomalies by learning robust feature representations and dynamically refining decision boundaries. …”
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Deep Learning Algorithm for Automatic Classification of Power Quality Disturbances by Fatema A. Albalooshi, M. R. Qader

“…Moreover, varying-size convolutional layers allow for the direct learning of complex patterns and features from PQ signals. To address the challenge of limited labeled PQ datasets, this research utilizes an open-source dataset generator to create large-scale datasets with annotated PQDs. …”
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Dynamic Energy Sparse Self-Attention Based on Informer for Remaining Useful Life of Rolling Bearings by Cheng Shi, Qifei Li, Hui Chen, Yuanwei Song, Qianqi Le

“…Predicting the remaining useful life of rolling bearings presents significant challenges due to their nonstationary degradation patterns. Conventional methods struggle with long sequences and are strongly dependent on manual feature extraction, which can lead to inefficiencies and biased predictions. …”
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Machine Learning Approaches for Fault Detection in Internal Combustion Engines: A Review and Experimental Investigation by A. Srinivaas, N. R. Sakthivel, Binoy B. Nair

“…The former uses physical models of engine components to diagnose defects, while the latter employs statistical analysis of sensor data to identify patterns indicating faults. Various methods for ICE fault identification, such as vibration analysis, thermography, acoustic analysis, and optical approaches, are reviewed. …”
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Motivational and valuable regularities and akmeologicheskys mechanisms of development of future engineer by T. A. Mayboroda

“…The item presents a view on the specific points and the structure of the motivation-value features in those studying to become engineers; there is a presentation of the patterns and mechanisms determining their acmeological development.…”
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Method for identifying error states of distribution network current transformers based on current imbalance weights by Tong Liu, Xiujuan Zeng, Huiqin Xie, Wei Wu, Jihong Xiao

“…By analyzing the fluctuation patterns of imbalance weight features, the proposed method accurately discriminates CT error states. …”
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Review of Multivariate Time Series Clustering Algorithms by ZHENG Desheng, SUN Hanming, WANG Liyuan, DUAN Yaoxin, LI Xiaoyu

“…Initially, based on classification standards such as feature extraction methods, similarity measurement algorithms, and clustering partition frameworks, this paper conducts a comparative analysis of existing multivariate time series clustering algorithms. …”
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MONITORING OF VARIOUS TYPES OF NEUROMUSCULAR BLOCKADE by N. V. Chubchenko, K. M. Lebedinskiy

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A novel Probabilistic Bi-Level Teaching–Learning-Based Optimization (P-BTLBO) algorithm for hybrid feature extraction and multi-class brain tumor classification using ResNet-50 and... by Mahananda Malkauthekar, Avinash Gulve, Ratnadeep Deshmukh

“…Deep features from ResNet-50, a convolutional neural network, are combined with texture-based features from gray level co-occurrence matrix (GLCM) analysis in the hybrid feature extraction method. …”
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A multistrategy improved hunger games search algorithm by Qiu Yihui, Zhang Xinqiang, Li Ruoyu, Li Dongyi, Xia Feihan

“…Moreover, a binary variant, BMHGS_V3, using sigmoid transformation, attains an average classification accuracy of 92.3% on ten UCI datasets for feature selection tasks. The proposed MHGS algorithm provides a novel and effective framework for solving complex optimization problems, demonstrating significant theoretical and practical value in the field of computational intelligence.…”
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Research on GNNs with stable learning by Wenbin Li, Wenxuan Wei, Peiyang Wang, Li Pan, Bo Yang, Yanling Xu

“…The aim is to extract genuine causal features while eliminating spurious causal features. …”
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Rank Fusion-Based Crime Scene Shoeprint Image Retrieval by Yanjun Wu, Xianling Dong, Guochao Shi, Xiaolei Zhang, Yanli Liu, Zhongxiao Wang, Congzhe Chen, Shiqi Xu

“…The primary objective of shoeprint retrieval is to identify shoeprints with comparable patterns among the numerous shoeprints collected from different crime scenes. …”
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On Some Issues of Handprints Detection and the Mechanism of Trace Formation on Porous Surfaces by V. A. Vasil’ev, T. A. Ermakova, Yu. A. Druzhinin, I. B. Afanas’ev, T. Yu. Yudina, E. Yu. Rusanov

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EXPERIMENTAL METHODS OF EXPLORING MULTIMODAL DISCOURSE: CROSSMODAL ALIGNMENT by Mariya I. Kiose, Vadim O. Potekhin, Oleg D. Zubkov

“…The common research framework determines the patterns as modulated by discourse tasks. The study features the results of multimodal experiments with the participants engaged in three discourse tasks: 1) receptive, which presumes obtaining information from text and image stimuli; semiotic alignment patterns are identified indirectly via participants’ gaze response; 2) productive, in which the participants communicate the information in monological format; communicative alignment patterns are identified directly via their speech and gesture; 3) receptive-productive, which presupposes the participants perceive information visually and audially; alignment patterns are identified directly via participants’ gaze behavior contingent on the stimuli areas of interest and indirectly via their speech response. …”
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What Is the Perceived Environmental Restorative Potential of Informal Green Spaces? An Empirical Study Based on Visitor-Employed Photography by Jiayi Jiang, Hong Xu, Ruochen Ma, Shi Chen, Huixin Wang, Ziang Zheng

“…Visitors who engage in rapid, broad exploration perceive larger, navigable spaces as more restorative, while those focusing on specific or in-depth exploration emphasize psychological aspects like escape and fascination. These behavioral patterns demonstrate varying strengths in their association with restorative experiences; This study underscores the importance of integrating spatio-temporal behavior data with PR assessments, highlighting how the physical and psychological features of IGS influence visitor experiences. …”
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Optimizing Urban Thermal Environments Through 2D/3D Landscape Pattern Analysis: A Machine Learning-Driven Approach for the Yangtze River Delta Urban Agglomeration by Haoshan Zhou, Ruci Wang, Hao Hou, Bin Xie, Tangao Hu

“…By combining 2D landscape pattern metrics with 3D building morphological features, this study employs an XGBoost model enhanced with SHAP and PDP techniques to reveal the nonlinear and threshold effects of landscape configurations on the Universal Thermal Climate Index (UTCI). …”
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Quantifying the effect of non-spatial and spatial forest stand structure on rainfall partitioning in mountain forests, Southern China by Chunxia Liu, Yujie Wang, Chao Ma, Yunqi Wang, Huilan Zhang, Bo Hu

“…The results highlight that stand structure in combination with rainfall patterns influence rainfall partitioning.…”
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Chinese Paper-Cutting Style Transfer via Vision Transformer by Chao Wu, Yao Ren, Yuying Zhou, Ming Lou, Qing Zhang

“…To further embody the symmetrical structures and hollowed hierarchical patterns intrinsic to Chinese paper-cutting, the multi-level feature contrastive learning module is designed based on a contrastive learning strategy. …”
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Intelligent Detection of Oceanic Front in Offshore China Using EEFD-Net with Remote Sensing Data by Ruijie Kong, Ze Liu, Yifei Wu, Yong Fang, Yuan Kong

“…Oceanic fronts delineate the boundaries between distinct water masses within the ocean, typically marked by shifts in weather patterns and the generation of oceanic circulation. …”
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Multi-Modal Deep Learning for Lung Cancer Detection Using Attention-Based Inception-ResNet by Mohamed Hosny, Ibrahim A. Elgendy, Mousa Ahmad Albashrawi

“…The proposed framework employs Inception-ResNet module to extract multi-scale spatial features and refine deep feature representations through residual learning. …”
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