Showing 41 - 60 results of 2,295 for search '((\ source selection function\ ) OR (( resources OR resourcess) detection functions\ ))', query time: 0.28s Refine Results
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    Investigating the impact of the regularization parameter on EEG resting-state source reconstruction and functional connectivity using real and simulated data by F. Leone, A. Caporali, A. Pascarella, C. Perciballi, O. Maddaluno, A. Basti, P. Belardinelli, L. Marzetti, G. Di Lorenzo, V. Betti

    Published 2024-12-01
    “…Accurate EEG source localization is crucial for mapping resting-state network dynamics and it plays a key role in estimating source-level functional connectivity. …”
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    Forms of financing the cultural sector in Poland against the background of solutions from selected European countries by Joanna Posłuszna, Stella Kaczmarek

    Published 2016-02-01
    “…Although the cultural sector is very important, state budgets contribute only a little to the financing of culture and its functioning depends on various sources of financing. …”
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  8. 48

    PFW-YOLO Lightweight Helmet Detection Algorithm by Yue Hong, Hao Wang, Shuo Guo

    Published 2025-01-01
    “…However, due to the limited arithmetic and storage resources of edge-end devices, and the traditional detection algorithms have problems such as the number of parameters and large computational volume, the detection algorithms are difficult to be deployed practically. …”
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  9. 49

    Design and analysis of intelligent service chain system for network security resource pool by Zenan WANG, Jiahao LI, Chaohong TAN, Dechang PI

    Published 2022-08-01
    “…The traditional network security architecture ensures network security by directing traffic through hardware based network security function devices.Since the architecture consists of fixed hardware devices, it leads to a single form of network security area deployment and poor scalability.Besides, the architecture cannot be flexibly adjusted when facing network security events, making it difficult to meet the security needs of future networks.The intelligent service chain system for network security resource pool was based on software-defined network and network function virtualization technologies, which can effectively solve the above problems.Network security functions of virtual form were added based on network function virtualization technology, combined with the existing hardware network elements to build a network security resource pool.In addition, the switching equipment connected to the network security elements can be flexibly controlled based on software-defined network technology.Then a dynamically adjustable network security service chain was built.Network security events were detected based on security log detection and a expert library consisting of security rules.This enabled dynamic and intelligent regulation of the service chain by means of centralized control in the face of network security events.The deployment process of the service chain was mathematically modeled and a heuristic algorithm was designed to realize the optimal deployment of the service chain.By building a prototype system and conducting experiments, the results show that the designed system can detect security events in seconds and automatically adjust the security service chain in minutes when facing security events, and the designed heuristic algorithm can reduce the occupation of virtual resources by 65%.The proposed system is expected to be applied to the network security area at the exit of the campus and data center network, simplifying the operation and maintenance of this area and improving the deployment flexibility of this area.…”
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    Economic and functional changes in the largest villages in Poland at the end of the 20th and the beginning of the 21st century by Sokołowski Dariusz

    Published 2019-12-01
    “…The article deals with selected aspects of the economic structure and functions of the largest villages in Poland. …”
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    Fermented, Freeze-Dried Snacks from <i>Lactarius deliciosus</i> as a Source of Functional Compounds and Lactic Acid Bacteria by Kavya Venugopal, Paweł Satora, Katarzyna Kała, Katarzyna Sułkowska-Ziaja, Agnieszka Szewczyk, Beata Ostachowicz, Bożena Muszyńska, Emilia Bernaś

    Published 2025-03-01
    “…After 6 months of storage, mushroom products were a good source of functional compounds, especially LAB, minerals, indoles, lovastatin, antioxidants (phenolic compounds), and dietary fibre. …”
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    Acoustic modelling of surface sources. Part II. Piston model, asymmetrical function of vibration velocity, discretizing error, axisymmetrical problem by A. BRAŃSKI

    Published 2014-01-01
    “…Then the model of the source consists of an array of driving pistons. In order to select the optimal position of the boundary between the pistons, the measure of the divergence/convergence between directivity function of the model and exact was analysed. …”
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    Research Progress on Dual Function Radar and Communication Signal Design and its Application in Typical Detection Scenarios by Yaping HE, Longfei SHI, Dong WANG, Jianglan TANG, Junxian CHEN, Jiazhi MA, Jialei LIU

    Published 2025-08-01
    “…Dual Function Radar and Communication (DFRC)-integrated electronic equipment platform, which combines detection and communication functions, effectively addresses issues such as platform limitations, resource constraints, and electromagnetic compatibility by sharing hardware platforms and transmitting waveforms. …”
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    LFN-YOLO: precision underwater small object detection via a lightweight reparameterized approach by Mingxin Liu, Mingxin Liu, Yujie Wu, Ruixin Li, Cong Lin, Cong Lin

    Published 2025-01-01
    “…Underwater object detection plays a significant role in fisheries resource assessment and ecological environment protection. …”
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    Using an ensemble approach to predict habitat of Dusky Grouse ( Dendragapus obscurus ) in Montana, USA by Elizabeth A Leipold, Claire N Gower, Lance McNew

    Published 2024-12-01
    “…Consensus between the resource selection function and random forest models was high (93%) and the ensemble map had higher predictive accuracy when classifying the independent dataset than the other two models. …”
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