Transmission Line Anomaly Detection and Real-Time Monitoring System Combining Edge Computing and EfficientDet by Menghao Lin, Yang Ding, Tianle Wang, Yang Liu, Zewei Li

“…At the same time, a gradient equalization mechanism is added to the loss function. …”
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The idea of freedom of conscience in the views of liberal legalists in the Russian Empire: from theory to practice. Second half of the XIX – early XX century by D. V. Rybin

“…They assumed that the equalization of rights and Christian preaching would help stabilize the public sphere and build a more just society. …”
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Temu Kembali Citra Tenun Nusa Tenggara Timur menggunakan Esktraksi Fitur yang Robust terhadap Perubahan Skala, Rotasi, dan Pencahayaan by Budiman Baso, Nanik Suciati

“…The tenun image retrieval system in this study used the Bag of Visual Words (BoVW) model of the keypoints in the extracted image using the Speeded Up Robust Feature (SURF) method. …”
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Design of Intelligent Interpretation Network for Underwater Acoustic Communication Receiver with Multiple Signal Modulations by Lanjun LIU, Zining CHENG, Jialin CHEN, Ming LI, Honghao LIU

“…The test results show that the two designed intelligent interpretation networks have significantly improved system performance compared to traditional least squares(LS) estimation + zero-forcing(ZF) equalization and LS estimation + minimum mean squared error(MMSE) channel estimation equalization methods. …”
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基于半监督聚元自组织映射的齿轮早期故障检测 by 樊帆, 徐亚兵

“…Self-organizing feature map is often limited by long training time,low diagnosis accuracy and bad classification visualization when it is applied in gear fault diagnosis.A novel method of semi-supervised LDA-GNSOM（Linear Discriminative Analysis Grouping Neuron Self-organized Map） is proposed for fault diagnosis.Firstly,the fault of original feature space is reduced by using LDA,and then the reduced feature subsets are input into the semi-supervised GNSOM network for classification and visualization.The effectiveness of this method is verified by using Iris dataset.And the gear incipient fault experiments are also conducted to demonstrate that the new approach is effective for gear incipient pitting detection.…”
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3D Reconstruction of Traditional Handicrafts Based on Binocular Vision by Yi Qin, Zhipeng Xu

“…To realize the reconstruction of traditional handicrafts, this paper proposes an improved AD-Census stereo matching algorithm of a binocular measurement system for object positioning and three-dimensional reconstruction. Methods based on the principle of binocular vision measurement include firstly, histogram equalization, adaptive threshold Canny edge extraction, and expansion are used for image preprocessing; Secondly, the calibration method is used to complete camera calibration, remove camera distortion through stereo correction, and improve the AD-Census stereo matching algorithm based on gradient division of weak texture and edge area. …”
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Efficient Recovery of Linear Predicted Coefficients Based on Adaptive Steepest Descent Algorithm in Signal Compression for End-to-End Communications by Abel Kamagara, Abbas Kagudde, Baris Atakan

“…Subsequently, the algorithm facilitates down-conversion, time and carrier recovery, equalization, and correlation processes. To evaluate the feasibility of the proposed method, parameters such as multipath interference, additive white Gaussian noise, timing, and phase noise are modeled as channel errors in signal compression using the software-defined receiver. …”
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Research on the Control Strategy of Star Cascaded SVG underThree-phase Unbalanced Conditions by WU Bing, HU Xiaodong, LI Sufen, ZHANG Dinghua, WANG Feng, XU Yong

“…This paper proposes a two-loop control strategy with voltage outer loop and current inner loop, which adopts a method of state feedback decoupling PI control. Over-current of SVG is suppressed by negative sequence voltage feed-forward control, and DC voltage is adjusted by zero sequence voltage injection method to reallocate the active power in three phases. …”
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Shifting Sands: Examining and Mapping the Population Structure of Greece Through the Last Three Censuses by Kleomenis Kalogeropoulos, Dionysios Fragkopoulos, Panagiotis Andreopoulos, Alexandra Tragaki

“…This paper aims to facilitate a more nuanced understanding of regional disparities in the population age structure at a local scale by applying a recent method for visualizing these disparities. Utilizing data from the three most recent population censuses in Greece, this method applies advanced data visualization techniques to map age distributions, highlighting significant variations in aging patterns across municipalities, towns, and districts. …”
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Use of the metaverse to advance wind power generation projects by Harada Norio, Takei Chikako, Kimurai Ichiro

“…The survey results indicated a 3.5-fold improvement in understanding of the construction details and project impact using our visualization method.…”
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Generative LOD algorithm based on space–time grid model by Huangchuang Zhang, Ge Li

“…Finally, through the space–time grid visualization experiments and LOD experiments, it is proved that the method of this paper can significantly improve the visualization and loading efficiency of CIM.…”
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Landslide Segmentation in High-Resolution Remote Sensing Images: The Van–UPerAttnSeg Framework with Multi-Scale Feature Enhancement by Chang Li, Quan Zou, Guoqing Li, Wenyang Yu

“…However, traditional methods of landslide recognition mainly rely on visual interpretation and manual recognition of remote sensing images, which are time-consuming and susceptible to subjective factors, thereby limiting the accuracy and efficiency of recognition. …”
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You Only Look Once v8 Cattle Identification Based on Muzzle Print Pattern Using ORB and Fast Library for Approximate Nearest Neighbor Algorithms by Allan Josef Balderas, Kaila Mae A. Pangilinan, Meo Vincent C. Caya

“…The developed method employed the YOLOv8 object detection model to detect the cattle’s muzzle. …”
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Spectral Pattern Classification in Lidar Data for Rock Identification in Outcrops by Leonardo Campos Inocencio, Mauricio Roberto Veronez, Francisco Manoel Wohnrath Tognoli, Marcelo Kehl de Souza, Reginaldo Macedônio da Silva, Luiz Gonzaga Jr, César Leonardo Blum Silveira

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Automated Seedling Contour Determination and Segmentation Using Support Vector Machine and Image Features by Samsuzzaman, Md Nasim Reza, Sumaiya Islam, Kyu-Ho Lee, Md Asrakul Haque, Md Razob Ali, Yeon Jin Cho, Dong Hee Noh, Sun-Ok Chung

“…The peak signal-to-noise ratio (PSNR) and the structural similarity index measure (SSIM) were used to select the clip limit for histogram equalization. The images were analyzed across 18 different color spaces to extract the color features, and six texture features were derived using the gray-level co-occurrence matrix (GLCM) method. …”
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Multimodal Intelligent Flooring System for Advanced Smart‐Building Monitoring and Interactions by Yuqi Chen, Jianlong Hong, Yukun Xiao, Huiyun Zhang, Jun Wu, Qiongfeng Shi

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Video map: A realtime orthographic geo-image considering DEM and semantic information. by Xingguo Zhang, Xiaodi Li, Shuai Ren, Mohan Liu, Sen Yang

“…Aiming at the problem that it is difficult to accurately calibrate massive Pan-Tilt-Zoom Camera (PTZ) cameras on telecommunication tower and the visualization effect of orthographic geo-image is poor, this paper proposes a new method of realtime orthographic geo-image generating, which is considering Digital Elevation Model (DEM) and semantic information (ROGI-DS). …”
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ISI sparse channel estimation based on ISL0 algorithm by Ting LIU, Jie ZHOU, CHIJiu-he JU

“…A smoothed L0 (SL0) algorithm based on compressed sensing proposed in previous works for inter symbol in-terference (ISI) sparse channel estimation. But this method has “notched effect” due to the negative iterative gradient direction. …”
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Enhanced Underwater Image Restoration and Clarity Optimization Using Advanced Digital Image Processing Techniques by Gopirajan Punniyakotti Varadharajan, Pradeep T., Charan R.

“…Furthermore, Gaussian bilateral filtering and Rayleigh stretching are utilized as denoising methods and edge clarity improvement. From the outcomes of the experiment based on PSNR and SSIM metrics, it is evident that the method presented in this paper has better performance than the traditional algorithms. …”
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Optimization of LDPC Codes over the Underwater Acoustic Channel by Shengxing Liu, Aijun Song

“…To combat severe intersymbol interference incurred by multipath propagation of sound waves in the underwater acoustic environment, we introduce an iterative equalization and decoding scheme by iteratively exchanging soft information between a low-density parity check (LDPC) decoder and a decision feedback equalizer. …”
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