MHOE-DETR: A Ship Detection Method for Small and Fuzzy Targets Based on Satellite Remote Sensing Image Data by Zhuhua Hu, Xiyu Fan, Yaochi Zhao, Wei Wu, Jie Liu

“…Through equivalent transformations, the complex network architecture is compressed into a single linear layer. …”
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Optical Coherence Tomography-Based Fingerprint Presentation Attack Detection via Multi-Tissue Features Contribution Analysis by Zhanqing Li, Jie Ji, Jiajin Qi, Haonan Fang, Yipeng Liu

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Verification of the person’s dynamic signature on a limited number of samples by V. V. Starovoitov

“…The goal of the research is to develop a new person-dependent method for verification of a signature of one person made on a tablet with a stylus in the presence of a limited number of signature samples of this person.Methods. …”
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Enhancing PM_2.5 Air Pollution Prediction Performance by Optimizing the Echo State Network (ESN) Deep Learning Model Using New Metaheuristic Algorithms by Iman Zandi, Ali Jafari, Aynaz Lotfata

“…Boruta-XGBoost highlighted PM₁₀ as the most important feature. Wavelet transform was then applied to extract 40 features to enhance prediction accuracy. …”
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Bringing Intelligence to the Edge for Structural Health Monitoring: The Case Study of the Z24 Bridge by Ali Dabbous, Riccardo Berta, Matteo Fresta, Hadi Ballout, Luca Lazzaroni, Francesco Bellotti

“…Our main advancement is, thus, the identification and characterization of highly effective feature extraction methods, employable in different SHM tasks. We have assessed the performance of the models on two embedded platforms, proposing a smart sensor system where a local hub collects the signals from a constellation of inertial sensors and infers damage assessment onsite, allowing the bridge to self-assess its health state without resorting to connectivity nor cloud resources.…”
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Comparing Statistical Models for Retrieval based Question-answering Dialogue: BERT vs Relevance Models by Debaditya Pal, Anton Leuski, David Traum

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A Projected Alternating Least square Approach for Computation of Nonnegative Matrix Factorization by M. Rezghi, M. Yousefi

“…Nonnegative matrix factorization (NMF) is a common method in data mining that have been used in different applications as a dimension reduction, classification or clustering method. …”
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Enhancing corn yield prediction: Optimizing data quality or model complexity? by Yuting Zhou, Shengfang Ma, Huihui Zhang, Sathyanarayanan Aakur

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Bearing Fault Diagnosis based on Feature Visualization and Depth Adaptive Network by Hong Jiang, Yu Feng, Rong Fu

“…Aiming at the problem that feature extraction in bearing fault diagnosis needs to rely heavily on manual experience and expert knowledge，a bearing fault diagnosis method based on Gramian angle field（GAF） transformation and adaptive depth network is proposed. …”
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Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

“…The wavelet transform, particularly the Daubechies, Morlet, and Galerkin wavelets, is employed to decompose signals into different frequency components while preserving time-domain information. …”
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Hypergraph User Embeddings and Session Contrastive Learning for POI Recommendation by Yan Zhang, Bin Wang, Qian Zhang, Sulei Zhu, Yan Ma

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PROTECTED AREAS IN REGIONS OF INTENSIVE ECONOMICAL ACTIVITY: CONFLICT OF NATURE PROTECTION AND NATURE USE (CASE STUDY OF DOVINĖ RIVER CATCHMENT) by RITA LINKEVICIEN, JULIUS TAMINSKAS, RASA ŠIMANAUSKIEN

“…Cartographical material of different periods is being used for the evaluation of the hydrographical network transformations in Dovin River catchment. …”
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Efficient fault diagnosis in rolling bearings lightweight hybrid model by Peng Yang, Bozheng Zhang, Jianda Zhao

“…Through dimensionality reduction and visualization analysis using the t-SNE method, the effectiveness of different network structures within the proposed TSL-Transformer model is elucidated.…”
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High-Performance Dual-View 3-D Display System Based on Integral Imaging by Yan Xing, Qiong-Hua Wang, Ling Luo, Hui Ren, Huan Deng

“…In addition, a high accurate pickup method based on projective transformation is presented. …”
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FTRNet: triplet fusion temporal relationship network for change detection in bitemporal remote sensing images by Wei Wu, Tong Li, Qi Xuan, QiMing Wan, Zuohui Chen

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Simulating the long term effect of asset management strategies on reliability of supply by Ivar Bjerkebæk, Iver Bakken Sperstad, Håkon Toftaker, Gerd Kjølle

“…In demonstrating the methodology we focus on transformers and utilize an existing transformer end-of-life model. …”
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Forecasting high-dimensional spatio-temporal systems from sparse measurements by Jialin Song, Zezheng Song, Pu Ren, N Benjamin Erichson, Michael W Mahoney, Xiaoye S Li

“…Our results also indicate that the performance of our proposed method remains robust across different sensor placement strategies, with further improvements as the number of sensors increases. …”
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A Novel 3D Imaging Method for Airborne Downward-Looking Sparse Array SAR Based on Special Squint Model by Xiaozhen Ren, Yao Qin, Lihong Qiao

“…However, after theory analysis and formulation deduction, the imaging procedure can be processed with the uniform reference function, and the phase compensation factors and algorithm realization procedure are demonstrated in detail. As the method requires only Fourier transform and multiplications and thus avoids interpolations, it is computationally efficient. …”
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Multiscale deformed attention networks for white blood cell detection by Xin Zheng, Qiqi Xu, Shiyi Zheng, Luxian Zhao, Deyang Liu, Liangliang Zhang

“…To tackle the large foreground-background differences in WBC images, this paper introduces a novel WBC detection method, named the Multi-Scale Cross-Deformation Attention Fusion Network (MCDAF-Net), which combines CNNs and Transformers. …”
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Cross-Modal Object Detection Based on Content-Guided Feature Fusion and Self-Calibration by Liyang Ning, Xuxun Liu, Luoyu Zhou, Xueyu Zou

“…First, we introduce a parallel network in the backbone to enable the model to process information from different modalities simultaneously. Second, we design a content-guided fusion module (CGF) in the feature extraction network, leveraging both transformer and convolution operations to capture global and local information, thereby enhancing the model’s ability to focus on detailed object features. …”
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