A Deep Transfer NOx Emission Inversion Model of Diesel Vehicles with Multisource External Influence by Zhenyi Xu, Ruibin Wang, Yu Kang, Yujun Zhang, Xiushan Xia, Renjun Wang

“…Then, the stacked sparse AutoEncoder is used to map different vehicle working condition emission data into the same feature space, and then, the distribution alignment of different vehicle working condition emission data features is achieved by minimizing maximum mean discrepancy (MMD) in the feature space. …”
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Advanced Multi-Scale CNN-BiLSTM for Robust Photovoltaic Fault Detection by Xiaojuan Zhang, Bo Jing, Xiaoxuan Jiao, Ruixu Yao

“…The proposed framework employs four parallel CNN branches with kernel sizes of 3, 7, 15, and 31 to capture temporal patterns across various time scales. These features are then integrated by an adaptive feature fusion network that utilizes multi-head attention. …”
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Research on Methods for the Recognition of Ship Lights and the Autonomous Determination of the Types of Approaching Vessels by Xiangyu Gao, Yuelin Zhao

“…Secondly, 23 spatio-semantic feature indicators are established to encode ship light patterns, and a multi-viewing angle dataset is constructed. …”
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Codeswitching in Malaysian Business and Its Role in the Management of Conflict by Elaine Morais

“… This research attempts to delineate some of the patterns of codeswitching, observable in business situations in Malaysia and to spell out some of the implications of this phenomenon for the management of conflict. …”
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A note on the kinship system of Kenya Luo by William M. Christie Jr

“…This variability, together with the fact that similar patterns are not found in related or neighboring languages, suggests that the pattern is a residual inheritance in Luo.…”
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Design of an Iterative Method for Malware Detection Using Autoencoders and Hybrid Machine Learning Models by Rijvan Beg, R. K. Pateriya, Deepak Singh Tomar

“…First, in order to reduce the dimensionality of raw malware activity data by 50%, while at the same timestamp preserving critical information, as evidenced by minimal reconstruction error, we apply an autoencoder-based feature learning technique. This technique assists in the extraction of compact, informative, and feature representations covering both global and local discriminative patterns for accurate malware detection. …”
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Lieux de l’homoérotisme et de l’homosexualité masculine à Marrakech by Gianfranco Rebucini

“…This geographical and ideological central feature of male “cruising” indicate a centrality and also a ordinariness of sexual male practices. …”
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The Predictability of Name Truncation: Factoring in Language Change by Birgit Alber, Sabine Arndt-Lappe, Joachim Kokkelmans

“…In this study, the hypothesis is pursued that the coexistence of multiple truncation patterns in a single language is in some cases due to language change: older patterns coexist with more recent ones, thus creating the false impression of random variability. …”
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Chaotic itinerancy within the coupled dynamics between a physical body and neural oscillator networks. by Jihoon Park, Hiroki Mori, Yuji Okuyama, Minoru Asada

“…The former consists of feature vector extraction from the motions and classification of the movement patterns that emerged from the coupled dynamics. …”
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Rolling window for detecting multiple Chan signatures to diagnose excessive water production by Ahmed MohamedSalih Musa Hamdoon, A. P. Mohammed Abdalla Ayoub Mohammed, A. P. Khaled Abdalla Elraies

“…Alaska oil wells’ public production data were analyzed illustrating each pattern’s manifestation. A successful interactive model with the rolling window feature was developed to track slope changes in Chan signatures, resulting in a 7–10% improvement in pattern detection accuracy compared to static features. …”
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Vehicle Change & Simplex-Anaphors by Richard Wilson

“…Simplex (SE) anaphor data from Thai is used to show that long-distance person blocking patterns are incompatible with elided content being copied in at the interface, post-agreement. …”
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MFPSP: Identification of fungal species-specific phosphorylation site using offspring competition-based genetic algorithm. by Chao Wang, Quan Zou

“…The comparison results shown that MFPSP achieves a more advanced and balanced performance to several state-of-the-art available toolkits. Feature contribution and interaction exploration indicating the proposed model is efficient in uncovering concealed patterns within sequence. …”
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Med-DGTN: Dynamic Graph Transformer with Adaptive Wavelet Fusion for multi-label medical image classification by Guanyu Zhang, Yan Li, Tingting Wang, Guokun Shi, Li Jin, Zongyun Gu, Zongyun Gu

“…To address these challenges, we propose Med-DGTN, a dynamically integrated framework designed to advance multi-label classification performance in clinical imaging analytics.MethodsThe proposed Med-DGTN (Dynamic Graph Transformer Network with Adaptive Wavelet Fusion) introduces three key innovations: (1) A cross-modal alignment mechanism integrating convolutional visual patterns with graph-based semantic dependencies through conditionally reweighted adjacency matrices; (2) Wavelet-transform-enhanced dense blocks (WTDense) employing multi-frequency decomposition to amplify low-frequency pathological biomarkers; (3) An adaptive fusion architecture optimizing multi-scale feature hierarchies across spatial and spectral domains.ResultsValidated on two public medical imaging benchmarks, Med-DGTN demonstrates superior performance across modalities: (1) Achieving a mean average precision (mAP) of 70.65% on the retinal imaging dataset (MuReD2022), surpassing previous state-of-the-art methods by 2.68 percentage points. (2) On the chest X-ray dataset (ChestXray14), Med-DGTN achieves an average Area Under the Curve (AUC) of 0.841. …”
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Predicting Urban Vitality at Regional Scales: A Deep Learning Approach to Modelling Population Density and Pedestrian Flows by Feifeng Jiang, Jun Ma

“…Applied to New York City, UVPN leverages diverse urban morphological features such as streetscape attributes and land use patterns to predict continuous vitality distributions. …”
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Minimising Security Deviations in Software-Defined Networks Using Deep Learning by mohammed alghaloom

“…A comprehensive data analysis was conducted, beginning with feature identification and dimensionality reduction using the Gain Information method to filter out redundant features, thereby improving model performance. …”
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Improving and simulating urban landscape image recognition using combination optimization and fuzzy K-means algorithm by Lihua Yang, Yuhui Zheng

“…CO specifically integrates the genetic algorithm (GA) to efficiently search for the optimal subset of features that maximize the performance of a convolutional neural network (CNN) based on extracted features. …”
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Research on Bearing Fault Diagnosis Method Based on MESO-TCN by Ruibin Gao, Jing Zhu, Yifan Wu, Kaiwen Xiao, Yang Shen

“…The method integrates feature filtering, network modeling, and parameter optimization into a unified diagnostic framework. …”
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Improved method for a pedestrian detection model based on YOLO by Yanfei LI, Chengyi DONG

“…The main innovations were: (1) integration of spatial pyramid dilated (SPD) operations with conventional convolution layers to construct SPD-Conv modules, which effectively mitigated feature information loss while enhancing small-target detection accuracy; (2) incorporation of selective kernel attention mechanisms to enable context-aware feature selection and adaptive feature extraction. …”
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Codeswitching in Malaysian Business and Its Role in the Management of Conflict by Elaine Morais

“… This research attempts to delineate some of the patterns of codeswitching, observable in business situations in Malaysia and to spell out some of the implications of this phenomenon for the management of conflict. …”
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Codeswitching in Malaysian Business and Its Role in the Management of Conflict by Elaine Morais

“… This research attempts to delineate some of the patterns of codeswitching, observable in business situations in Malaysia and to spell out some of the implications of this phenomenon for the management of conflict. …”
Get full text