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  1. 2241

    Research and Development of an IoT Smart Irrigation System for Farmland Based on LoRa and Edge Computing by Ying Zhang, Xingchen Wang, Liyong Jin, Jun Ni, Yan Zhu, Weixing Cao, Xiaoping Jiang

    Published 2025-01-01
    “…In response to the current key issues in the field of smart irrigation for farmland, such as the lack of data sources and insufficient integration, a low degree of automation in drive execution and control, and over-reliance on cloud platforms for analyzing and calculating decision making processes, we have developed nodes and gateways for smart irrigation. …”
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  2. 2242

    Cloud Computing-Based Security Analysis on Wireless Sensor Nodes Cluster Using Predictive Technique by Muhammed Zaharadeen Ahmed, Aisha Hassan Abdallah Hashim, Othman Omran Khalifa, Aliyu Muhammad Wakil, Zeinab E. Ahmed, Khmaies Ouhada

    Published 2025-05-01
    “… Rapid technological advancements have led to the widespread deployment of wireless sensor networks (WSNs) in industrial environments, making cybersecurity a critical concern in cloud computing. This paper presents a predictive framework for cloud-based intrusion detection and prevention for WSNs. …”
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  3. 2243

    Real-time data processing for serial crystallography experiments by Thomas White, Tim Schoof, Sergey Yakubov, Aleksandra Tolstikova, Philipp Middendorf, Mikhail Karnevskiy, Valerio Mariani, Alessandra Henkel, Bjarne Klopprogge, Juergen Hannappel, Dominik Oberthuer, Ivan De Gennaro Aquino, Dmitry Egorov, Anna Munke, Janina Sprenger, Guillaume Pompidor, Helena Taberman, Andrey Gruzinov, Jan Meyer, Johanna Hakanpää, Martin Gasthuber

    Published 2025-01-01
    “…The average single-thread processing time per frame was 242 ms for blank frames and 455 ms for hits, meaning that a single 96-core computing node was sufficient to keep up with the data, with ample headroom for unexpected throughput reductions. …”
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  4. 2244

    Advanced Applications of Polymer Hydrogels in Electronics and Signal Processing by Ibragim Suleimenov, Oleg Gabrielyan, Eldar Kopishev, Aruzhan Kadyrzhan, Akhat Bakirov, Yelizaveta Vitulyova

    Published 2024-11-01
    “…The current state of affairs in the field of using polymer hydrogels for the creation of innovative systems for signal and image processing, of which computing is a special case, is analyzed. …”
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  9. 2249

    Efficient skyline query processing with user-specified conditional preference by Senfu Ke, Xiaodong Fu, Jie Li

    Published 2025-01-01
    “…In this article, we propose an innovative and efficient method for skyline query processing, leveraging conditional preference networks (CP-Nets) to integrate specific user’s conditional preferences into the query process, termed as CP-Skyline. …”
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  10. 2250

    Dynamic single-photon emission computed tomography as a method of identification of multivessel coronary artery disease by A. V. Mochula, K. V. Zavadovsky, S. L. Andreev, Yu. B. Lishmanov

    Published 2016-11-01
    Subjects: “…objective. the aim of this study was to determine the informative value of dynamic tomoscintigraphy in detection of multivessel coronary artery disease (cad). material and methods. patients with multivessel cad (n= 16) and healthy volunteers (n= 9) underwent dynamic cardiac single photon emission computed tomography with 99mтс-mibi at rest and during pharmacological stress-test. processing of acquired results involved the formation of regions of interest from the cavity and the myocardium of the left ventricle used to create activity-time curves. coronary flow reserve index was defined as a quotient of two ratios of the mean counts from the myocardial region to the integral activity in the left ventricular cavity for the studies performed during pharmacological stress test and at rest. results. the mean values of coronary flow reserve index were 1.86 (1.59…”
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  11. 2251

    Memory–Non-Linearity Trade-Off in Distance-Based Delay Networks by Stefan Iacob, Joni Dambre

    Published 2024-12-01
    Subjects: “…information processing capacity…”
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  14. 2254

    Exploiting drain-erase scheme in ferroelectric FETs for logic-in-memory by Musaib Rafiq, Yogesh Singh Chauhan, Shubham Sahay

    Published 2025-01-01
    “…The conventional computing platforms based on von-Neumann architecture are highly space- and energy-intensive while handling the emerging applications such as AI, ML, and big data. …”
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  15. 2255

    Hybrid quantum neural networks show strongly reduced need for free parameters in entity matching by Lukas Bischof, Stefan Teodoropol, Rudolf M. Füchslin, Kurt Stockinger

    Published 2025-02-01
    “…Hence, entity matching, i.e. the process of linking data about a given entity gathered from multiple data sets, is a major problem in artificial intelligence with applications in science and industry. …”
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  16. 2256
  17. 2257

    Semantic communication accelerates the integration of network and information processing by SUN Yihao, JIANG Sheng, ZHOU Xu, LEI Bo, JIANG Lintao

    Published 2025-07-01
    “…However, semantic communication requires the network to actively participate in information processing, provide computing and storage resources, and at the same time requires the network to have the ability to perceive the importance of information and its own resource conditions. …”
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  18. 2258

    A Hybrid Algorithm for Contour Thinning in Image Processing by Mamatov Narzullo, Niyozmatova Nilufar, Jalelova Malika, Samijonov Abdurashid, Samijonov Boymirzo

    Published 2025-03-01
    “…Visual data processing is a rapidly expanding field, with image processing aimed at enhancing image features for object recognition. …”
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  19. 2259

    Anatomical characteristics of the styloid process in cerebral infarction related to carotid artery dissection: a case-control study by Shuna Shi, Limei Wang, Haiyang Luo, Zhenling Fu, Yutao Liu

    Published 2025-06-01
    “…The length and inclination angle of the styloid process were measured using Computed tomography angiography images. …”
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  20. 2260

    Computer vision systems and deep learning for the recognition of athlete's movement: A review article by Ahmed S. Abdullah, Khalil Ibrahim Alsaif

    Published 2023-12-01
    “…This study reviews a set of articles that relied on computer vision as well as deep learning in the process of distinguishing and analysing the athlete's movement. …”
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