Showing 201 - 220 results of 3,265 for search 'issues module', query time: 0.10s Refine Results
  1. 201

    GANFlow: A Hybrid Model for SAR Image Target Open-Set Recognition Based on GAN and the Flow-Based Module by Jikai Qin, Jiusheng Han, Zheng Liu, Lei Ran, Rong Xie, Tat-Soon Yeo

    Published 2025-01-01
    “…However, in practical applications, ATR models are often exposed to open environments, the general closed-set method may misclassify unknown categories as known categories, which is not reasonable. To tackle this issue, this article proposes an end-to-end hybrid model for SAR image open-set recognition (OSR), named GANFlow, which combines a generative adversarial network (GAN) with a flow-based module. …”
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  2. 202
  3. 203

    Leveraging IoT and CFD to optimize solar PV module performance in high-temperature environments; case study: Kirkuk, Iraq by Yaareb Elias Ahmed, Jagadeesh Pasupuleti, Firas Basim Ismail, Suad Hassan Danook, Fadhil Khadoum alhousni, Mohammad Reza Maghami

    Published 2025-07-01
    “…Cooling systems can mitigate this issue by maintaining optimal operating temperatures, thereby improving system performance and lifespan. …”
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    Article
  4. 204

    NIR-RGB-M<sup>2</sup>Net: A Fusion Model for Precise Agricultural Field Segmentation Using Multisource Remote Sensing Data by Zhankui Tang, Xin Pan, Xiangfei She, Jian Zhao

    Published 2025-01-01
    “…The primary innovations of NIR-RGB-M<sup>2</sup>Net are as follows: A U&#x2013;Net&#x2013;based fusion model that integrates a convolutional block attention module in the NIR branch to highlight vegetation-related channels and spatial regions, and a dilated convolution module in the RGB branch to expand the receptive field without sacrificing resolution, capturing fine boundary textures. …”
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  5. 205

    DKA-YOLO: Enhanced Small Object Detection via Dilation Kernel Aggregation Convolution Modules by Yicheng Qiu, Feng Sha, Li Niu

    Published 2024-01-01
    “…To solve these issues, DKA-YOLO is proposed as a new model focusing on improving convolution kernel structures. …”
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  6. 206

    3D dual-mode OFDM-IM modulation with multi-envelope approach and performance analysis by GUO Yi, HUA Zhuhao, LIU Gang, FU Shaozhong

    Published 2025-05-01
    “…To address the issues of high bit error rate and limited anti-interference capability in current high-dimensional OFDM index modulation systems, a dual-mode orthogonal frequency division multiplexing index modulation scheme based on multi-envelope three-dimensional constellation modulation (3D-DM-OFDM-IM) was proposed. …”
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    Orthogonal Frequency Division Multiplexing for Visible Light Communication Based on Minimum Shift Keying Modulation by Ying Zhang, Kexin Li, Yufeng Yang

    Published 2025-04-01
    “…With the rapid development of visible light communication (VLC) technology, traditional modulation schemes can no longer meet the high demands for bandwidth efficiency and signal stability in complex application scenarios. …”
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  10. 210

    User-Centric Multi-Dimensional Modulation for Receiver Operational Cost Minimization in Non-Orthogonal Domains by Thakshanth Uthayakumar, Xianbin Wang

    Published 2024-01-01
    “…Furthermore, the operational cost of restoring orthogonality and demodulation varies across domains due to different synchronization and interference cancelation capabilities of receiver in different domains. To tackle these issues, we propose user-centric multi-dimensional modulation (UC-MDM) aiming to minimize receiver costs while supporting necessary data rates. …”
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  11. 211

    Research on the proximity relationships of psychosomatic disease knowledge graph modules extracted by large language models by Zihan Zhou, Ziyi Zeng, Wenhao Jiang, Yihui Zhu, Jiaxin Mao, Yonggui Yuan, Min Xia, Shubin Zhao, Mengyu Yao, Yunqian Chen

    Published 2025-07-01
    “…Abstract As social changes accelerate, the incidence of psychosomatic disorders has significantly increased, becoming a major challenge in global health issues. This necessitates an innovative knowledge system and analytical methods to aid in diagnosis and treatment. …”
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    Mathematical Model of Shifted Time of Combined Signal as Part of Fragments with Linear and Quadratic Frequency Modulation by O. O. Kostyria, A. A. Hryzo, Yu. S. Solomonenko, O. M. Dodukh, Ye. V. Biernik

    Published 2024-09-01
    “… The issues of synthesis of nonlinear-frequency modulated probing signals, which, in comparison with well-known linear-frequency modulated signals, have a lower maximum level of side lobes of the autocorrelation function, have a practical orientation, relate to actual problems of theory and practice of forming signals with intra-pulse modulation for radio electronic means for various purposes. …”
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  15. 215

    Amplitude Modulation Depth Coding Method for SSVEP-Based Brain&#x2013;Computer Interfaces by Ruxue Li, Zhenyu Wang, Xi Zhao, Guiying Xu, Honglin Hu, Ting Zhou, Tianheng Xu

    Published 2025-01-01
    “…As the number of stimuli increases, the comfort level of the stimulus interface also becomes increasingly demanding due to the expanded flickering area. To address these issues, we proposed a novel amplitude modulation depth coding (AMDC) method that employs Amplitude Shift Keying (ASK) technique to modulate the luminance level of stimuli dynamically. …”
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    Impact of close proximity pulse width modulation switching events on electric machine terminal voltages by David A. Hewitt, Shubham Sundeep, Antonio Griffo, Jiabin Wang

    Published 2024-11-01
    “…When speed control is required, the use of pulse width modulation‐based inverters is generally the solution of choice. …”
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  19. 219

    Research on satellite-ground adaptive modulation and coding techniques based on intellgent prediclion of channel state by JI Shuo, SUN Yaohua, PENG Mugen

    Published 2024-10-01
    “…In the scenario of direct mobile phone connection to low-earth orbit satellites, to address the issue of non-real-time feedback of channel quality indication information that adaptive modulation and coding techniques rely on, a channel state prediction model based on deep echo state network was proposed. …”
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