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  1. 2101
  2. 2102

    An Inverted Residual Cross Head Knowledge Distillation Network for Remote Sensing Scene Image Classification by Cuiping Shi, Mengxiang Ding, Liguo Wang

    Published 2025-01-01
    “…Unlike convolution, transformer can model long-distance feature dependencies and mine contextual information in remote sensing scene images. …”
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  3. 2103
  4. 2104

    Dual-Branch Network With Mutual Guidance for Hyperspectral Image Superresolution by Tiejun Zhang, Boqun Zhang, Nan Hu, Xinyu Li, Peng Li

    Published 2025-01-01
    “…However, most existing deep learning-based methods have not sufficiently considered the huge modality differences between these two types of images before feature fusion, potentially resulting in the loss of valuable information. …”
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  5. 2105

    Ocean Currents Velocity Hindcast and Forecast Bias Correction Using a Deep-Learning Approach by Ali Muhamed Ali, Hanqi Zhuang, Yu Huang, Ali K. Ibrahim, Ali Salem Altaher, Laurent M. Chérubin

    Published 2024-09-01
    “…U-Net was modified to create a Transform Model that retains the temporal and spatial evolution of the differences between the model and observations to produce a correction in the form of regression weights that evolves spatially and temporally with the model both forward and backward in time, beyond the observation period. …”
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  6. 2106

    TrexAB, a novel tetracycline resistance determinant in Streptococcus dysgalactiae by Marte Glambek, Marte Glambek, Morten Kjos, Marita T. Mårli, Zhian Salehian, Steinar Skrede, Steinar Skrede, Audun Sivertsen, Bård R. Kittang, Bård R. Kittang, Oddvar Oppegaard, Oddvar Oppegaard

    Published 2025-06-01
    “…Whole genome alignment of mutants and their respective wildtypes revealed no differences other than the expected differences caused by the knockout.ConclusionWe have characterized a novel operon causing low-grade resistance to tetracycline in SD. …”
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  7. 2107

    A BOX-YOLOv8 framework for automated hyperspectral core analysis by Hongyan Zhu, Anjie Li, Chengzhi Lin, Shuai Qin, Junhao Xie, Jackey J.K. Chai, Russell Rogers, Jun-Li Xu

    Published 2025-06-01
    “…The framework identifies core boxes (BOX-YOLOv8, achieving 99.5% mAP@0.5), precisely segments these boxes for geometric correction (SAM2), and segments core/soil material from the background using spectral differences (MLP). This automated pipeline significantly improves processing time compared to manual methods. …”
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  8. 2108
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  11. 2111

    ASSESSMENT OF THE EFFECTIVENESS OF PUBLIC CIVIL SERVANTS OF THE RUSSIAN FEDERATION (THEORETICAL AND METHODOLOGICAL FOUNDATIONS) by D. Yu. Znamenskiy, A. V. Gusarov

    Published 2020-04-01
    “…The relevance of the article lies in the fact that the ongoing process of transforming public administration and increasing demands from the population to public civil servants requires the development of new methods for of assessing the effectiveness of their activities in the Russian Federation for the successful selection of a modern civil servants who can comply with the growing requirements emanating from population and successfully cope with the assignments and tasks emanating from the country’s leadership. …”
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  12. 2112

    Multipath-Assisted Ultra-Wideband Vehicle Localization in Underground Parking Environment Using Ray-Tracing by Shuo Hu, Lixin Guo, Zhongyu Liu, Shuaishuai Gao

    Published 2025-03-01
    “…We introduce an innovative NLOS positioning framework based on the generalized source (GS) technique, which employs ray-tracing (RT) to transform NLOS paths into equivalent line-of-sight (LOS) paths. …”
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  13. 2113
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  15. 2115

    A Deep Neural Network Framework for Dynamic Two-Handed Indian Sign Language Recognition in Hearing and Speech-Impaired Communities by Vaidhya Govindharajalu Kaliyaperumal, Paavai Anand Gopalan

    Published 2025-06-01
    “…One may consider such as a connecting bridge for bridging communication gaps for the hearing- and speech-impaired, even though it remains as an advanced method for hand gesture expression along with identification through the various different unidentified signals to configure their palms. …”
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  16. 2116

    Wave dynamics for the new generalized (3+1)-D Painlevé-type nonlinear evolution equation using efficient techniques by Jamilu Sabi'u, Sekson Sirisubtawee, Surattana Sungnul, Mustafa Inc

    Published 2024-11-01
    “…Using these methods, combined with wave transformation and homogeneous balancing techniques, we obtained concise and general wave solutions for the Painlevé-type equation. …”
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  17. 2117

    A text classification method by integrating mobile inverted residual bottleneck convolution networks and capsule networks with adaptive feature channels by Tao Jin, Jiaming Liu

    Published 2025-01-01
    “…A Capsule Network is designed to adaptively adjust the importance of different feature channels, including N-gram convolutional layers, selective kernel network layers, primary capsule layers, convolutional capsule layers, and fully connected capsule layers, aiming to enhance the model’s ability to capture semantic information of text across different feature channels. …”
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  18. 2118

    A Novel Damage Detection Method of Reinforced Concrete Frames Using Signal Processing and Extracted Near-Fault Fling-Step Pulses by Amir Ezzodin, Gholamreza Ghodrati Amiri, Hosein Naderpour, Morteza Raissi Dehkordi

    Published 2022-01-01
    “…The analysis process was complemented in three levels: (a) the Fourier transform was utilized to extract the vibration frequency, (b) the time instants of damage occurrence were detected by using the discrete wavelet transform, and (c) accurate damage detection was made by using the extracted pulse components of the records as loading protocol for earthquake simulation and the discrete wavelet transform. …”
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  19. 2119

    Analysis of causal pathogens of mulberry bacterial blight in samples collected from eight provinces of China using culturomics and metagenomic sequencing methods by Xinpeng Huang, Ting Yuan, Yuxin Huang, Izhar Hyder Qazi, Jiping Liu

    Published 2025-02-01
    “…In recent years, the transformation of sericulture industry, mulberry production system, and increasing seedling trade have resulted in the spread of MBB to different parts of China, posing a major economic threat to the farmers and industry. …”
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  20. 2120

    The Effect of Data Conversion Methods (Naive Bayes, C5.0 & Support Vector Machine) on the Performance of Classification Algorithms in Data Mining by Hussein Ali Attallah, Ahmed Al-Asadi, Doctor, Sadeer Sadeq

    Published 2025-07-01
    “…It was aimed to examine the effects of data transformation on naive Bayes (NB), C5.0 and support vector machines (SVM) by applying minimum-maximum and z-score normalisation and equal width and equal frequency spacing discrimination methods to different types of data produced by simulation. …”
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