Studies on Underwater Image Processing Using Artificial Intelligence Technologies by Sugunapriya A, Markkandan S

“…The survey reviews a range of techniques from traditional histogram equalization and white balancing methods to cutting edge AI approaches, including CNNs and GANs. …”
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Processing and analysis of images of microstructure metals for determining the grain point by R. P. Bohush, Y. R. Adamousky, S. F. Denisenak

“…The software product implements metallographic methods for the grain size determination by comparison of rating scales, counting beans, calculation of grain boundaries intersections for equiaxed and elongated grains, measuring a chords length. …”
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Coordinated Multi-Input and Single-Output Photonic Millimeter-Wave Communication in W-Band Using Neural Network-Based Waveform-To-Symbol Converter by Kexin Liu, Boyu Dong, Zhongya Li, Yinjun Liu, Yaxuan Li, Fangbing Wu, Yongzhu Hu, Junwen Zhang

“…Based on the proposed method, a coordinated MISO photonic millimeter-wave (mmWave) communication system at 91.9 GHz is demonstrated at a transmission speed of 30 Gbps. …”
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Efficient hybrid heuristic adopted deep learning framework for diagnosing breast cancer using thermography images by Ahmad Y. A. Bani Ahmad, Jafar A. Alzubi, Manimaran Vasanthan, Suresh Babu Kondaveeti, J. Shreyas, Thella Preethi Priyanka

“…The collected thermography images are being preprocessed by Contrast Limited Adaptive Histogram Equalization (CLAHE) and contrasting enhancement methods to improve the quality and brightness of the images. …”
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A study on applying GA for performance improvement of SP decoder in SMR by Madoka Nishikawa, Yasuaki Nakamura, Yasushi Kanai, Yoshihiro Okamoto

“…We study low-density parity-check (LDPC) coding and iterative decoding methods for shingled magnetic recording in ultra-high-density hard disk drives. …”
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Cheetah optimized CNN: A bio-inspired neural network for automated diabetic retinopathy detection by V. K. U. Ahamed Gani, N. Shanmugasundaram

“…The proposed CO-CNN approach shows superior performance compared to that of state-of-the-art methods, offering potential applications in telemedicine, treatment planning, early detection, screening, and patient education. …”
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Recent trends in pixel-based image enhancement techniques using VLSI cores – a review by Chrishia Christudhas, Annis Fathima A

“…In terms of delay, Histogram Stretching proves more efficient. Histogram Equalization and its variants prove more power efficient than other state-of-the-art methods. …”
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Recent Progress in Simplified Coherent Technology by HU Shan, LI Wei, PAN Yingmei, ZENG Tao, LUO Ming, YU Huang, GUO Hao

“…Then, the principles, specific structures, and implementation methods of each part are specifically introduced, including clock and carrier recovery, optical domain polarization demultiplexing (polarization rotation compensation), and analog adaptive equalization. …”
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Does digital economy development enhance Chinese residents’ health? Impact and mechanism by Yang Gao, Yang Yang, Jiao Lu, Chen Chen, Xian Liang

“…Abstract Background Recognizing the effect of the digital economy on residents’ health can transform technological dividends into health and well-being and provide the basis for the construction of a “health-oriented” digital society development path. Methods This paper explores the direct impact of the digital economy on residents’ health and its mechanism by constructing a digital economic development index and combining data from the China Family Panel Studies (CFPS). …”
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The Impact of Gross Regional Product Per Capita on the Processes of Convergence between Different Regions of the Country by Mayya Dubovik, Sergey Dmitriev, Madina Aitkazina

“…The speed of convergence was calculated using both ordinary least squares and nonlinear least squares methods, revealing that eliminating a 50% gap in GRP per capita among Russian regions would take approximately 902 and 821 years, respectively. …”
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Investigation of DC-Biased Optical OFDM With Precoding Matrix for Visible Light Communications: Theory, Simulations, and Experiments by Tao Jiang, Ming Tang, Rui Lin, Zhenhua Feng, Xi Chen, Lei Deng, Songnian Fu, Xiang Li, Wu Liu, Deming Liu

“…To figure out the intrinsic laws of a PM method, we investigate the principles of PAPR reduction, clipping distortion optimization, and signal-to-noise ratio (SNR) distribution equalization. …”
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Assessing regional disparities and trends in health resource allocation from sub-provincial cities in China by Minghua Zhou

“…Background To analyze the regional disparities and trends in health resource allocation in sub-provincial cities, to inform strategies for achieving equitable health resource allocation across sub-provincial cities.Methods Dagum Gini coefficient and kernel density estimation based on the health resource density index were used to analyze the regional disparities and trends in health resource allocation in sub-provincial cities from 2018 to 2022.Results The overall Gini coefficient of health expenditure is the highest, above 0.373. …”
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Enhancing Visual Perception in Immersive VR and AR Environments: AI-Driven Color and Clarity Adjustments Under Dynamic Lighting Conditions by Maryam Abbasi, Paulo Váz, José Silva, Pedro Martins

“…This system adapts to dynamic lighting conditions, addressing the shortcomings of traditional methods like histogram equalization and gamma correction, which struggle with rapid lighting changes and real-time user interactions. …”
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Development of the ICT competence of the teacher within the framework of teacher-centered e-learning in the system of professional development by Olga A. Fadeeva

“…Based on the identified deficiencies of teachers in the Krasnoyarsk Territory in the field of achieving the required level of ICT competence and the need to take measures for its equalization, a model and environment for the implementation of teacher-centered e-learning aimed at developing and aligning the teacher’s ICT competence, taking into account andragogic features, was designed. …”
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Analysis on the Impact of Data Augmentation on Target Recognition for UAV-Based Transmission Line Inspection by Chunhe Song, Wenxiang Xu, Zhongfeng Wang, Shimao Yu, Peng Zeng, Zhaojie Ju

“…In this paper, taking insulator strings as the target, the impact of a series of widely used data augmentation methods on the accuracy of target recognition is studied, including histogram equalization, Gaussian blur, random translation, scaling, cutout, and rotation. …”
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Enhancing 3D Reconstructions in Underwater Environments: The Impact of Image Enhancement on Model Quality by A. Vrochidis, A. Vrochidis, D. Tzovaras, S. Krinidis

“…Three real-world underwater datasets were analyzed to assess the effectiveness of these methods in improving the accuracy and completeness of reconstructed 3D models. …”
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Winter appearance of ectoparasite communities living bats (Chiroptera: Vespertilionidae) in the artificial caves of the Samara Luka by M.S. Malyavina, D.G. Smirnov

“…Then the arthropods were fixed according to standard methods, using a solution of potassium alkali as a bleach. …”

A Hybrid Machine Learning Approach for Detecting and Assessing <i>Zyginidia pullula</i> Damage in Maize Leaves by Havva Esra Bakbak, Caner Balım, Aydogan Savran

“…The experimental results demonstrate that the proposed hybrid approach outperforms individual feature extraction methods, achieving a classification accuracy of up to 92.55%. …”
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A High-Accuracy Underwater Object Detection Algorithm for Synthetic Aperture Sonar Images by Jiahui Su, Deyin Xu, Lu Qiu, Zhiping Xu, Lixiong Lin, Jiachun Zheng

“…This module incorporates three-stage processing for image quality optimization, and the three stages include collaborative adaptive Contrast Limited Adaptive Histogram Equalization (CLAHE) enhancement, non-local mean denoising, and frequency-domain band-pass filtering. …”
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Mixture of Expert-Based SoftMax-Weighted Box Fusion for Robust Lesion Detection in Ultrasound Imaging by Se-Yeol Rhyou, Minyung Yu, Jae-Chern Yoo

“…However, challenges such as speckle noise, low contrast, and diverse lesion morphology hinder its diagnostic accuracy. <b>Methods:</b> To address these issues, we propose CSM-FusionNet, a novel framework that integrates clustering, SoftMax-weighted Box Fusion (SM-WBF), and padding. …”
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