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  1. 5861

    YOLO-Helmet: A Novel Algorithm for Detecting Dense Small Safety Helmets in Construction Scenes by Guoliang Yang, Xinfang Hong, Yangyang Sheng, Liuyan Sun

    Published 2024-01-01
    “…Firstly, in order to solve the problem of difficult detection due to the small area of the helmet in the image, a small size detection layer was extended to improve the detection sensitivity of the network to small size targets. …”
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  2. 5862

    A Variational Neural Network Based on Algorithm Unfolding for Image Blind Deblurring by Shaoqing Gong, Yeran Wang, Guangyu Yang, Weibo Wei, Junli Zhao, Zhenkuan Pan

    Published 2024-12-01
    “…Image blind deblurring is an ill-posed inverse problem in image processing. While deep learning approaches have demonstrated effectiveness, they often lack interpretability and require extensive data. …”
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  3. 5863

    Existence and Stability of Neutral Stochastic Impulsive and Delayed Integro-Differential System via Resolvent Operator by Hamza Khalil, Akbar Zada, Mohamed Rhaima, Ioan-Lucian Popa

    Published 2024-11-01
    “…Additionally, the systems under consideration feature state-dependent delays (SDDs). To address this, we develop an approach to reformulate the neutral stochastic integro-differential system, incorporating SDDs and non-instantaneous impulses, into an equivalent fixed-point (FP) problem via an appropriate integral operator. …”
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  4. 5864

    CGTS: graph transformer-based anomaly detection in controller area networks by Xue Zhou, Guihe Qin, Yanhua Liang, Jiaru Song, Wanning Liu, Qingxin Liu

    Published 2025-08-01
    “…While existing anomaly detection strategies offer some benefits, they often face challenges such as limited feature extraction and data imbalance, which reduce their effectiveness. …”
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  5. 5865

    Railway Cloud Resource Management as a Service by Ivaylo Atanasov, Dragomira Dimitrova, Evelina Pencheva, Ventsislav Trifonov

    Published 2025-04-01
    “…The proposed approach is open, in contrast to any proprietary solutions and feature scalability and interoperability.…”
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  6. 5866

    Fault Diagnosis Method for UHVDC Transmission Based on Deep Learning under Cloud-Edge Architecture by Shihao Zhou, Benren Pan, Dongbin Lu, Yiming Zhong, Guannan Wang

    Published 2022-01-01
    “…Aiming at the problem of fault diagnosis after the UHVDC system fails, a deep learning-based UHVDC fault diagnosis method under the cloud-edge architecture is proposed. …”
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  7. 5867

    HETMCL: High-Frequency Enhancement Transformer and Multi-Layer Context Learning Network for Remote Sensing Scene Classification by Haiyan Xu, Yanni Song, Gang Xu, Ke Wu, Jianguang Wen

    Published 2025-06-01
    “…However, recent studies have revealed that Transformers perform poorly in capturing high frequencies that mainly convey local information. To solve this problem, we propose a novel method based on High-Frequency Enhanced Vision Transformer and Multi-Layer Context Learning (HETMCL), which can effectively learn the comprehensive features of high-frequency and low-frequency information in visual data. …”
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  8. 5868

    Influence of carbon emission reduction of enterprises on economic growth under climate warming by Liang Li, Jingya Li, Haifeng Pan, Weiyin Fei

    Published 2024-12-01
    “…Global warming, as the main feature of the climate problem, is gradually coming into our field of vision. …”
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  9. 5869

    Research on damage detection technology for wind turbine blade acoustic signals by fusion of sparse representation, compressive sensing and deep learning by Liang Wang, Chun Yang, Chao Yuan, Yanan Liu, Yanqing Chen

    Published 2025-07-01
    “…The sparse representation method is used to effectively encode the voiceprint signal and extract representative signal features; the compressed sensing technology is applied to efficiently reconstruct the signal using a small amount of sampled data, significantly reducing the data collection amount and storage requirements; deep feature learning and damage pattern classification based on convolutional neural network further improve the accuracy and intelligence level of detection.The research results show that the proposed method effectively reduces the computational complexity and greatly improves the detection accuracy. …”
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  10. 5870

    Factor Graph-Based Planning as Inference for Autonomous Vehicle Racing by Salman Bari, Xiagong Wang, Ahmad Schoha Haidari, Dirk Wollherr

    Published 2024-01-01
    “…We model the planning problem as a probabilistic inference over a factor graph, with factor nodes capturing the joint distribution of motion objectives. …”
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  11. 5871

    A Robust Capon Beamforming Algorithm with Desired Signal Steering Vector Correction by Zhiqi Gao, Bowen Wu, Pingping Huang, Wei Xu, Weixian Tan, Zhixia Wu

    Published 2025-07-01
    “…The core of the proposed robust Capon beamforming technique lies in leveraging the orthogonality between the steering vector and the noise space, the estimated expected signal steering vector is corrected. Based on this feature, the proposed algorithm meticulously optimizes the predicted steering vector of the desired signal, which can mitigate the problem of performance degradation caused by the mismatch in the steering vector. …”
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  12. 5872

    A Terrain-Aided Navigation Method Incorporating Terrain Matching and Terrain Suitability Analysis by Gang Fan, Xiaojin Liu, Yun Li, Jia Li, Yan Han, Long He, Pengyun Chen

    Published 2025-01-01
    “…This study attempts to use a deep learning model to deal with the terrain matching problem and terrain suitability analysis problem in the dimension of abstract features using a unified feature encoder. …”
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  13. 5873
  14. 5874

    An Object Detection Algorithm for Orchard Vehicles Based on AGO-PointPillars by Pengyu Ren, Xuyun Qiu, Qi Gao, Yumin Song

    Published 2025-07-01
    “…Aiming to improve upon existing object detection algorithms, which have the problem of low object recognition accuracy in orchard operation scenes, we propose an orchard vehicle object detection algorithm based on Attention-Guided Orchard PointPillars (AGO-PointPillars). …”
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  15. 5875

    The Product of Formal Innovation in Contemporary Interior Design Techniques by Muhammad JarAllah Tawfiq, Rouwaida Ra'ed Muhammad

    Published 2021-09-01
    “… The product of formal innovation has become a strategy in itself, and because the design development with a technical dimension has become a feature of human life, so the concerned institutions have been referring to this through architecture, including the interior spaces it contains, especially at the level of all materials and raw materials.Therefore, in recent years a phenomenon has emerged that is characterized by the innovation of new design techniques, as the interior designer began to realize the importance of innovation, renewal and development through aesthetic and creative data that takes into account the formation of a future vision in which factors concerned with technical development in contemporary interior design overlap, and by informing researchers about foreign design techniques .Therefore, the problem of the research study was formulated with the following question: Does the product of formal innovation have a role in contemporary interior design techniques? …”
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  16. 5876

    Skeleting of Low-Contrast Noisy Halftone Images by Ma Jun, V. Yu. Tsviatkou, A. A. Boriskevich

    Published 2023-10-01
    “…The problem of forming the skeletons of halftone images with two-mode brightness histograms under conditions of changing contrast and noise is considered. …”
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  17. 5877

    A novel multi-class classification method for arrhythmias using Hankel dynamic mode decomposition and long short-term memory networks by Chuchu Liang, Majid Khan Majahar Ali, Lili Wu

    Published 2025-05-01
    “…Future work can focus on two aspects: first, to solve the category imbalance problem, by over sampling or undersampling techniques to improve the classification ability of a few categories; second, exploring the embedding of DMD into the network structure of LSTM to further optimise the feature extraction and classification performance. …”
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  18. 5878

    Document Relevance Filtering by Natural Language Processing and Machine Learning: A Multidisciplinary Case Study of Patents by Raj Bridgelall

    Published 2025-02-01
    “…This study addresses the problem by systematically evaluating supervised and unsupervised machine learning (ML) techniques for document relevance filtering across five technology domains: solid-state batteries, electric vehicle chargers, connected vehicles, electric vertical takeoff and landing aircraft, and light detecting and ranging (LiDAR) sensors. …”
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  19. 5879

    Social mates dynamically coordinate aggressive behavior to produce strategic territorial defense. by Nicole M Moody, Cole M Williams, Sohini Ramachandran, Matthew J Fuxjager

    Published 2025-01-01
    “…Negotiating social dynamics among allies and enemies is a complex problem that often requires individuals to tailor their behavioral approach to a specific situation based on environmental and/or social factors. …”
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  20. 5880

    Defining collocation for Slovenian lexical resources by Iztok Kosem, Simon Krek, Polona Gantar

    Published 2020-08-01
    “…Semantic criterion or dictionary relevance of extracted collocations has particularly exposed the problem of semantically broad collocates such as certain types of adverbs, adjectives and verbs, and word which feature in different syntactic roles (e.g. pronouns and adjuncts). …”
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