Visual design element recognition of garment based on multi-view image fusion by Meng Fanyu

“…This clothing style recognition aids in predicting clothes' features and patterns, which aids in classifying them using efficient feature extraction and classification models such as Convolutional Neural Network (CNN). …”
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GeoViT: Mixed-Scale Transformer for Perspective Correction in Print-Cam Image Watermarking by Said Boujerfaoui, Anass Mancour-Billah, Hassan Douzi, Rachid Harba

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User authentication of industrial internet based on HHT transform of mouse behavior by Yigong ZHANG, Qian YI, Jian LI, Congbo LI, Aijun YIN, Shuping YI

“…The rapid development of the industrial internet had caused widespread concern about the network security, and the end-user authentication technology was considered a research hotspot.According to the characteristics of human-computer interaction in industrial internet, an experimental website was designed.24 users' mouse behavior data in an uncontrolled environment were collected within 2.5 years to conduct case studies.Hilbert-Huang transform (HHT) was used to extract frequency domain features of mouse behavior signals, combined with time domain features to form a time-frequency joint domain feature matrix of 163-dimensional to characterize user mouse behavior patterns.Bagged tree, support vector machine (SVM), Boost tree and K-nearest neighbor (KNN) were used to build a user authentication model， and the comparison result showed that the Bagged tree had the best internal detection effect in this case, with an average false acceptance rate (FAR) of 0.12% and an average false rejection rate (FRR) of 0.28%.In external detection, the FAR was 1.47%.Compared with the traditional mouse dynamics method, the frequency domain information of mouse behavior extracted by HHT can better realize the user authentication, and provide technical support the security of the industrial internet.…”
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An enhanced integrated fuzzy logic-based deep learning techniques (EIFL-DL) for the recommendation system on industrial applications by Yasir Rafique, Jue Wu, Abdul Wahab Muzaffar, Bilal Rafique

“…Deep learning techniques, on the other hand, excel at extracting complex patterns and features from large-scale data. By integrating fuzzy logic with deep learning, the EIFL-DL framework harnesses the strengths of both approaches to overcome the limitations of traditional RSs. …”
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Flash Flood Regionalization for the Hengduan Mountains Region, China, Combining GNN and SHAP Methods by Yifan Li, Chendi Zhang, Peng Cui, Marwan Hassan, Zhongjie Duan, Suman Bhattacharyya, Shunyu Yao, Yang Zhao

“…The SHAP model was then applied to quantify the impact of all the inducing factors on the regionalization results by Dink-Net. The newly developed framework captured the spatial interactions of the inducing factors and characterized the spatial distribution patterns of the factors. …”
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GNNSeq: A Sequence-Based Graph Neural Network for Predicting Protein–Ligand Binding Affinity by Somanath Dandibhotla, Madhav Samudrala, Arjun Kaneriya, Sivanesan Dakshanamurthy

“…While existing sequence-based machine learning models for binding affinity prediction have shown potential, they lack accuracy and robustness in pattern recognition, which limits their generalizability across diverse and novel binding complexes. …”
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Identifying urban spatial clusters via flow dynamics: a coupled tensor-based method by Zilong Zhao, Zihan Kan, Mei-Po Kwan, Luliang Tang

“…Revealing spatial clustering patterns among urban geographic units is crucial for synergistic regional development and integrated urban management. …”
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Hybrid mechanism‐data‐driven iron loss modelling for permanent magnet synchronous motors considering multiphysics coupling effects by Lin Liu, Wenliang Yin, Youguang Guo

“…Purely mechanistic models require detailed theoretical knowledge and exact parameters, often struggling to accurately describe complex systems, while purely data‐driven methods lack interpretability, which are susceptible to data noise and outliers in feature extraction and complicated pattern recognition. …”
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Spatiotemporal evolution and driving factors of the synergistic effects of pollution control and carbon reduction in China by Qinggang Meng, Xiaolan Chen, Hui Wang, Wanfang Shen, Peixin Duan, Xinyue Liu

“…The findings indicate that a preliminary model for coordinated development in PCCR has been established. However, regional disparities in PCCR, a persistent and dynamically evolving feature, manifested a spatial pattern of “higher in the east, lower in the west”. …”
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CGV-Net: Tunnel Lining Crack Segmentation Method Based on Graph Convolution Guided Transformer by Kai Liu, Tao Ren, Zhangli Lan, Yang Yang, Rong Liu, Yuantong Xu

“…By fostering information exchange among local features, the model enhances comprehension of the global structural patterns of cracks and improves inference capabilities in recognizing intricate crack configurations. …”
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Divergent Photoperiodic Responses in Hypothalamic <i>Dio3</i> Expression and Gonadal Activity Between Offspring and Paternal Brandt’s Voles by Lewen Wang, Zhengguang Li, Ying Song, Ning Li, Xiao-Hui Liu, Dawei Wang

“…The postnatal development of gonadal glands in seasonal breeders, particularly small rodent species, is influenced by photoperiodic patterns. …”
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A comparative evaluation of dermatoglyphics in different classes of malocclusion by Garima Jindal, Ramesh Kumar Pandey, Sameer Gupta, Meera Sandhu

“…Aim: To study associations of dermatoglyphic features with malocclusion in Indian children. Materials and methods: A total of 237 children aged 12–16 years, who attended our outpatient clinic in a government medical college, were selected. …”
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Prediction of mechanical characteristics of shearer intelligent cables under bending conditions. by Lijuan Zhao, Dongyang Wang, Guocong Lin, Shuo Tian, Hongqiang Zhang, Yadong Wang

“…This method leverages TCN's causal and dilated convolution operations to capture long-term sequential features, BiLSTM's bidirectional information processing to ensure the completeness of sequence information, and the SEAttention mechanism to assign adaptive weights to features, effectively enhancing the focus on key features. …”
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Parsimonious and explainable machine learning for predicting mortality in patients post hip fracture surgery by Fouad Trad, Bassel Isber, Ryan Yammine, Khaled Hatoum, Dana Obeid, Mohammad Chahine, Rachid Haidar, Ghada El-Hajj Fuleihan, Ali Chehab

“…After modeling, we derived feature importance for each of the two models and decreased the number of features to reach a parsimonious highly performing model. …”
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Multi-branch GAT-GRU-transformer for explainable EEG-based finger motor imagery classification by Zhuozheng Wang, Yunlong Wang

“…However, due to the complex, noisy, and non-stationary nature of EEG signals, traditional classification methods—such as Common Spatial Pattern (CSP) and Power Spectral Density (PSD)—struggle to extract meaningful, multidimensional features. …”
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Incorporating Attention Mechanism Into CNN-BiGRU Classifier for HAR by Ohoud Nafea, Wadood Abdul, Ghulam Muhammad

“…The HAR system is primarily intended to assist healthcare providers and elderly care facilities using other technologies such as the Internet of Things (IoT). Standard pattern recognition techniques have developed significantly, but they continue to depend on heuristic and manual feature extraction, which undermines the generalization performance. …”
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Evaluating traditional Chinese medicine diagnostic instruments for functional dyspepsia: A systematic review on measurement properties by Leonard TF Ho, Vincent CH Chung, Charlene HL Wong, Irene XY Wu, Kun Chan Lan, Darong Wu, Jerry WF Yeung, Nevin L Zhang, Ting Hung Leung, Justin CY Wu

“…None of them was considered reliable or valid for guiding TCM pattern diagnosis. To support the evidence base of the standardization of TCM patterns in ICD-11, TCM diagnostic instruments should be developed and validated rigorously under the COSMIN guidelines. …”
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Damage Identification Using Measured and Simulated Guided Wave Damage Interaction Coefficients Predicted Ad Hoc by Deep Neural Networks by Christoph Humer, Simon Höll, Martin Schagerl

“…This technique employs the so-called wave damage interaction coefficients (WDICs) as highly sensitive damage features that describe the unique scattering pattern around possible damage. …”
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Fault diagnosis and inference of hoist main bearing based on transfer learning and ontology by Fei DONG, Di ZHANG, Kunpeng GE, Junjie CHEN, Xinyue XU

“…Firstly, the collected bearing vibration signals are processed, and it uses continuous wavelet transform to decompose the original vibration signals and extract two-dimensional time-frequency images; secondly, to adaptively extract deep features from both the source and target domains, the pre-trained and fine-tuning approaches are employed for convolutional neural networks transfer learning, and it constructs a transfer convolutional neural network model to achieve adaptive extraction of deep features from both domains; then, a new supervised domain adaptation method is proposed, integrating dynamic joint distribution adaptation with enhanced separability, to further reduce the distribution differences between deep feature sets of the source and target domains while effectively enhancing the separability of feature data; finally, a patterns recognition classifier is trained based on the source domain features after domain adaptation, which achieves fault patterns recognition in the target domain. ② Hoist main bearing fault knowledge reasoning based on ontology. …”
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Cyber inevitability and privacy in the design of interior spaces by azal Muhammad Saeed, Rajaa Saadi Lafta

“…And because the close relationship between technology and civilization as a duality expresses the extent of the development and upgrading of society at the level of the individual’s environment in particular and the social environment in general, it is necessary to focus on the feature of technological spaces and its impact on the privacy of the civilization of contemporary society and its implications at the level of intellectual and applied patterns in interior design. …”
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