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  1. 161

    Improving efficiency of car transportation in extreme north conditions in russian federation by A. V. Kulikov, S. Y. Firsova, V. S. Dorokhina

    Published 2021-07-01
    “…A quarter of the world’s natural gas and oil reserves are located in the Far North of the Russian Federation. …”
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    Article
  2. 162

    DCP-YOLOv7x: improved pest detection method for low-quality cotton image by Yukun Ma, Yajun Wei, Minsheng Ma, Zhilong Ning, Minghui Qiao, Uchechukwu Awada

    Published 2024-12-01
    “…In addition, the model detection head part is replaced with a DyHead (Dynamic Head) structure, which dynamically fuses the features at different scales by introducing dynamic convolution and multi-head attention mechanism to enhance the model's ability to cope with the problem of target morphology and location variability.ResultsThe model was fine-tuned and tested on the Exdark and Dk-CottonInsect datasets. …”
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  3. 163

    The Unit Price Implication of Reinforcement Usage in Tie Beam Reinforced Concrete Construction by Mubarak Mubarak, Tripoli Tripoli, Nurisra Nurisra

    Published 2018-04-01
    “…Considering the diversity of dimension design of building structure caused by geographical location and building function, a further study required to response these problems. …”
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  4. 164

    The effects of immigrant women’s anxiety levels on their sexual distress: A cross-sectional study by Zibulnesa Makhdom, Zehra Demet Ust Tasgin

    Published 2025-07-01
    “…Of immigrants, 37.3% preferred Türkiye since it is safe, and 54% experience communication barriers and social problems the most since they are immigrants. Women scored an average of 32.68 ± 17.32 points on the Beck Anxiety Inventory, and 59% had severe anxiety. …”
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  5. 165

    Numerical analysis of the state of stress and strain in the Yenisei Ridge based on the regional tectonic state in the Asian continent by Akhmetov Ayan, Igor Yu. Smolin, Aleksey Yu. Peryshkin

    Published 2019-06-01
    “…The paper presents the calculation of modern tectonic flow fields in the Yenisei Ridge located on the stable Siberian Craton. At the first stage, we solve the problem of calculating the average field of tectonic flows due to collisional processes at the southern and northeastern margins of the Eurasian Plate with Indian and Arabian and with North American plates, respectively. …”
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  6. 166
  7. 167

    Fast and Accurate Density Estimation of Hybrid Rice Seedlings Using a Smartphone and an Improved YOLOv8 Model by Zehua Li, Yongjun Lin, Yihui Pan, Xu Ma, Xiaola Wu

    Published 2024-12-01
    “…Firstly, the auxiliary frame technology was used to address the problem of locating the detection area of seedlings. …”
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  8. 168

    Effective fingerprinting database construction through digital map-based RF signal modeling and partial measurements in indoor environments by Jung Ho Lee, Taehun Kim, Youngsu Cho, Juil Jeon, Kyeongsoo Han, Taikjin Lee

    Published 2025-08-01
    “…This paper presents a radio-frequency (RF) signal modeling technology thatbuilds a fingerprinting database for indoor localization quickly and accurately.Fingerprinting-based localization technology uses location-specific signal char-acteristics as a database; therefore, it is less sensitive to multipath problems.The proposed approach predicts signal propagation paths and calculates atten-uation based on an indoor map, reducing infrastructure installation and datacollection time. …”
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  9. 169
  10. 170

    Research on fusion prediction model of wind speed, gas and dust concentration under wind flow control in fully-mechanized heading face by Xiaoyan GONG, Hao ZOU, Zhuangzhuang LIU, Long CHEN, Haoran FU, Yuheng SUN, Hao LI, Xinyu WANG, Huming NIU

    Published 2024-10-01
    “…In view of the problem that the traditional ventilation total amount control management mode of the fully mechanized heading face cannot carry out wind flow control according to the actual demand, which causes gas and dust accumulation and pollution hidden danger, the multi-source data fusion neural network prediction model of wind speed, gas and dust concentration under wind flow control is studied. …”
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  11. 171

    Duodenogastral reflux and its influence on manifestation of morphological changes of gastric mucosa. by Yu. M. Stepanov, A. N. Kovalenko, А. V. Salenko

    Published 2015-09-01
    “…One of the main forms of CG is reflux gastritis (RG) based on long-term location of duodenal content in the gastric antrum, so-calledduodenal reflux (DR). …”
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  12. 172

    An Efficient CNN for Hand X-Ray Overall Scoring of Rheumatoid Arthritis by Zijian Wang, Jian Liu, Zongyun Gu, Chuanfu Li

    Published 2022-01-01
    “…Here, we developed an efficient model powered by deep convolutional neural networks to solve these problems and automated the overall scoring on hand X-rays. …”
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    Article
  13. 173

    Global context-aware attention model for weakly-supervised temporal action localization by Weina Fu, Wenxiang Zhang, Jing Long, Gautam Srivastava, Shuai Liu

    Published 2025-08-01
    “…The existing WTAL methods lack the ability to distinguish the action context information effectively, including the pre-action and post-action scenes, which blur the action boundary and lead to the inaccurate action location. To solve the above problems, this paper proposes a global context-aware attention model (GCAM). …”
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  14. 174

    Bridge Structural Damage Identification Technique Based on BPNN and Vehicle-bridge Interaction Analysis by Lingling Li, Yibo Zhang

    Published 2025-07-01
    “…The results demonstrated that the average accuracy of back propagation neural network in locating the damaged bridge structure was about 90%, the average accuracy of locating the damaged structure was kept at 85% under circumstances where varying noise levels are present. …”
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  15. 175

    Bridge Structural Damage Identification Technique Based on BPNN and Vehicle-bridge Interaction Analysis by Lingling Li, Yibo Zhang

    Published 2025-07-01
    “…The results demonstrated that the average accuracy of back propagation neural network in locating the damaged bridge structure was about 90%, the average accuracy of locating the damaged structure was kept at 85% under circumstances where varying noise levels are present. …”
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  16. 176

    Changes and representativeness of mountain glaciation parameters by V. G. Konovalov

    Published 2020-05-01
    “…The trustworthiness of changes of the weighed height parameters confirms consistency with the linear relationship adopted at the scale of the river basin between the dimensions of the glaciers and the average weighed heights of beginning, end and average altitude of individual glaciers. …”
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  17. 177

    Sustainability and Challenges of Water Occupancy Rates of İmranlı Dam Lake in the Rural Region of Sivas Province, Türkiye by Seher Dirican

    Published 2025-03-01
    “…As a result, there is no short-term problem in terms of water occupancy rates in İmranlı Dam Lake. …”
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  18. 178

    Improving the efficiency of the heat stabilizer operation by distributing refrigerant flows inside the device and finning its surfaces by Alexander Ya. Gilmanov, Andrey S. Kim, Aleksandr P. Shevelev

    Published 2025-04-01
    “…The construction of long pipelines in the conditions of the cryolithozone is associated with the problem of soil thawing under them. An effective solution to this problem is the use of two-phase heat stabilizers located next to the piles. …”
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  19. 179

    Navigating Intelligence: A Survey of Google OR‐Tools and Machine Learning for Global Path Planning in Autonomous Vehicles by Alexandre Benoit, Pedram Asef

    Published 2024-09-01
    “…GPP is essential for ROMIE's optimal performance, which is translated into solving the traveling salesman problem, a complex graph theory challenge that is crucial for determining the most effective route to cover all sampling locations in a mining field. …”
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  20. 180

    Rough-and-Refine Model for Scene Graph Generation by Li Junliang, Lv Shirong, Li Wei

    Published 2025-01-01
    “…This is particularly crucial in the context of the long-tail distribution problem present in the dataset, as it demonstrates the model's learning capability across all predicate categories. …”
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