PECULIARITIES OF FORMING TOTAL REVENUES OF UNITED TERRITORIAL COMMUNITIES IN UKRAINE UNDER CURRENT CONDITIONS OF TRANSFORMING THE SYSTEM OF PUBLIC FINANCES by V. Melnyk, N. Kriuchkova, R. Shchur

“…It is proved that in the process of accumulation of revenues in budgets of joint territorial communities common methods can be used — accumulation of income from productive activity, from property and property rights, from resource base, loan method; and special methods - tax, normative, method of redistribution, method of coefficients, emission, forecast. …”
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Efficient Constant Modulus Based Carrier Frequency Offset Estimation for CO-OFDM Systems by Muyiwa B. Balogun, Olutayo O. Oyerinde, Fambirai Takawira

“…The proposed scheme is based on a robust cost-function, which deviates from the common assumption that the channel frequency response slowly varies either in time or frequency domain. The proposed method adopts a cost-function similar to the Godard's method for blind channel equalization. …”
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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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Blind-Matched Filtering for Speech Enhancement with Distributed Microphones by Sebastian Stenzel, Jürgen Freudenberger

“…A multichannel noise reduction and equalization approach for distributed microphones is presented. …”
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Enhanced Retinal Vessel Segmentation Using Dynamic Contrast Stretching and Mathematical Morphology on Fundus Images by El-Mehdi Chakour, Yasmine Mrad, Anass Mansouri, Yaroub Elloumi, Idriss Benatiya Andaloussi, Mohamed Hedi Bedoui, Ali Ahaitouf

“…This enhancement is achieved using the DCS method, which is compared to two widely used contrast enhancement techniques: adaptive histogram equalization (AHE) and contrast-limited adaptive histogram equalization (CLAHE). …”
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Quantum kernel t-distributed stochastic neighbor embedding by Yoshiaki Kawase, Kosuke Mitarai, Keisuke Fujii

“…Here, we propose a quantum data visualization method using quantum kernels, which enables us to offer fast and highly accurate visualization of quantum states. …”
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Hybrid UM-LT-AHE Technique for Contrast Enhancement of Medical Images by Abolaji Okikiade Ilori, Kamoli Akinwale Amusa, Olumayowa Ayodeji Idowu

“… This paper is concerned with combinations of un-sharp masking, logarithmic transformation, and adaptive histogram equalization techniques to arrive at a hybrid method for enhancement of different types of medical image's contrast. …”
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Parallel Technology of Wireless-inverter by GAO Lulu, LUO Guoyong, LIU Changqing, WU Qiang, ZENG Minggao

“…Test results show that this control method can solve the problem of load equalization of parallel-inverter efficiently.…”
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Expression Recognition Using Improved AlexNet Network in Robot Intelligent Interactive System by Yifeng Zhao, Deyun Chen

“…Aiming at the insufficient feature extraction in the expression feature extraction stage of traditional convolutional neural network and the misclassification of mislabeled samples, an expression recognition and robot intelligent interaction method using deep learning is proposed. First, in image preprocessing, the dimension of the color image is reduced by image gray adjustment to reduce the amount of calculation, the shadow interference is eliminated by the average method, and the image is enhanced by histogram equalization. …”
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Preparation of matrix reference material for carbaryl residues in Chinese yam flour by HUO Siyu, GEN Xuhao, YU Libo, CHEN Dongdong, PENG Tao

“…A liquid chromatography-series mass spectrometer was used for detection, and the isotope internal standard curve method was used for quantification. Through the process of equalization stability evaluation, cooperative setting and uncertainty evaluation, the matrix reference material of the expected yam powder was obtained. …”
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Water Classification Using Convolutional Neural Network by Saira Asghar, Ghulam Gilanie, Mubbashar Saddique, Hafeez Ullah, Heba G. Mohamed, Irshad Ahmed Abbasi, Mohamed Abbas

“…Comparison shows that the proposed technique achieves better accuracy in comparison with the state-of-the-art methods.…”
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Active Load Participation in Automatic Balancing of Three-Phase Load Imbalance in Low-Voltage Substation Areas by Zhiqiang HU, Yuanyu YE, Lingang YU, Dongwen WU, Tao HU

“…In order to solve the problems of increased losses and reduced power supply quality caused by unbalanced three-phase loads, an automatic equalization method for three-phase load unbalance in low-voltage stations involving active loads is proposed. …”
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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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An Efficient Illumination Estimation Algorithm for Low-Light Image Enhancement by Tirui Wu, Martin Glavin, Edward Jones

“…Low-light image enhancement is of interest in many practical applications, such as low-light photography and video surveillance. Traditional methods, like histogram equalization-based methods, cannot produce good quality output consistently. …”
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Synthetic Aperture Cardiac Imaging with Reduced Number of Acquisition Channels. A Feasibility Study by Yuriy TASINKEVYCH, Marcin LEWANDOWSKI, Ziemowit KLIMONDA, Mateusz Walczak

“…Specifically, it was shown that the proposed method resulted in image quality metrics (lateral resolution, contrast and contrast-to-noise ratio), for a visualization depth not exceeding 50 mm, that were comparable with the classical PA beamforming. …”
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Effect of Different Parameter Values for Pre-processing of Using Mammography Images by Hanife Avcı, Jale Karakaya

“…Gaussian filter, Contrast Limited Adaptive Histogram Equalization and Fast local Laplacian filtering methods were applied as pre-processing method. …”
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Modern aspects of diagnosis of the abdominal gun-shot woundings. Experience of a hybrid war in the East of Ukraine by O. І. Grechanyk, R. Ya. Abdullaiev, І. A. Lurin, K. V. Gumenuk, V. V. Negoduiko, D. O. Sliesarenko

“…To raise the efficacy of radiological diagnosis of the gun-shot abdominal woundings, using modern highly informative methods of medical visualization with determination of their sensitivity and specificity. …”
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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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Contactless Palmprint Recognition using Deep Learning Technology by Salam Jabbar Abdu-al Kadhm, Taha Mohammed Hassan

“…Therefore, a contactless palm print recognition system has been proposed through two pre-processing methods using a neural network. A Contrast Limited Adaptive Histogram Equalization (CLAHE) filter was used in the first processing of the data stage as well as the normalization method. …”
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Inhomogeneous Illumination Image Enhancement Under Extremely Low Visibility Condition by Libang Chen, Jinyan Lin, Qihang Bian, Yikun Liu, Jianying Zhou

“…Imaging through dense fog presents unique challenges, with essential visual information crucial for applications like object detection and recognition, thereby hindering conventional image processing methods. …”
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