A straightforward protocol for extracting microplastics from freshwater sediment with high organic content by Queiroz Lucas Gonçalves, de Oliveira Hallai Luana, Rocha de Moraes Beatriz, Ando Rômulo Augusto, Pompêo Marcelo, Rani-Borges Bárbara

“…This study proposes a simplified method for extracting microplastics from organic-rich clayey sediments and a complete protocol for sediment processing. …”
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A Study on the Color Representation and Symbol Characteristics of AI-Generated Art Themed on “Snow and Ocean” by Cui Ling

“…While this AI generated “color appeal” requires to be illustrated by specific analytic interpretation. This paper employs methods such as case studies, RGB color notation method, and color semiotic research method, analyzing the color characteristics of immersive AI digital cultural art exhibitions such as “One Frozen One World” and “Infinite Ocean”, as well as the symbolic cultural features formed through these colors. …”
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Compression of 3D Optical Encryption Using Singular Value Decomposition by Kyungtae Park, Min-Chul Lee, Myungjin Cho

“…As a result, the proposed method enhances the visual quality, compression ratio, and security of DRPE simultaneously. …”
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Digital Signal Processing for The Development of Deep Learning-Based Speech Recognition Technology by Dita Novita Sari, Danang Kusnadi, Ricco Herdiyan Saputra, Mujeeb Ullah Khan

“…Given the increasing demand for accurate and efficient speech recognition systems, digital signal processing techniques are essential. The research method used is an experimental method with a quantitative approach. …”
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Automatic Receiver Function Picking Using Fuzzy C‐Means Clustering by Neng Xiong, Fenglin Niu, Hongrui Qiu, Yuyan Liu, Wenpei Miao

“…Using these selected features, we have developed a fuzzy clustering‐based method to automate the classification of RFs into good or bad quality. …”
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Satellite Remote Sensing Grayscale Image Colorization Based on Denoising Generative Adversarial Network by Qing Fu, Siyuan Xia, Yifei Kang, Mingwei Sun, Kai Tan

“…The results compared with existing typical colorization methods demonstrate that the proposed method can generate color images of higher quality, achieving better performance in both subjective human visual perception and objective metric evaluation. …”
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Non-invasive eye tracking and retinal view reconstruction in free swimming schooling fish by Ruiheng Wu, Oliver Deussen, Iain D. Couzin, Liang Li

“…Abstract Eye tracking has emerged as a key method for understanding how animals process visual information, identifying crucial elements of perception and attention. …”
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Sex identification in rainbow trout using genomic information and machine learning by Andrei A. Kudinov, Antti Kause

“…The method showed high prediction quality on both simulated and real datasets. …”
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Leveraging unified multi-view hypergraph learning for neurodevelopmental disorders diagnosis by Xiangmin Han, Junchang Li

“…Additionally, visualizing the high-order associations learned from both branches reveals new insights into the pathogenic mechanisms of these disorders.ConclusionThe proposed method combines knowledge-driven and data-driven strategies for high-order brain network modeling, advancing the understanding of brain networks in neurodevelopmental diseases.…”
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COMPLEX MONITORING OF SALMON SPAWNERS ESCAPEMENT TO THE KAMCHATKA RIVER IN REAL TIME REGIME by E. S. Fadeev, E. A. Shevlyakov, M. G. Feldman

“…Complex method of quick quantitative evaluation of the spawners escapement to the Kamchatka River is developed for pacific salmons on the base of analysis of their passing dynamics through certain parts of the river (main stream, tributaries, spawning grounds). …”
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Digital Watermarking using Dragonfly Optimization Algorithm by Satender Sharma, Usha Chauhan, Ruqaiya Khanam, Krishna Kant Singh

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Emotion Recognition by Facial Expression and Voice: Review and Analysis by Yixen Lim, Kok-Why Ng, Palanichamy Naveen, Su-Cheng Haw

“…This is very important to discover, so that one may replace or enhance the weaker level if applying the same method across the multiple-models. This paper will also illustrate different levels of popularity of the methods in each model for visual comparison in ease. …”
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Confocal laser scanning microscopy for the diagnosis of dysplastic nevus of the skin by A. V. Sokolova, N. P. Malishevskaya

“…In recent years, the method of confocal microscopy has been used for noninvasive skin examination. …”
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Hybrid subnet-based node failure recovery formal procedure in wireless sensor and actor networks by Hamra Afzaal, Nazir Ahmad Zafar, Fahad Alhumaidan

“…The formal specification is analyzed using Vienna Development Method—specification language Toolbox to visualize the model.…”
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Computational Issues in Nonlinear Dynamical Systems: Creating Bifurcation Diagrams of Lyapunov Exponents Using a Novel Adaptive Approach by Maciej Walczak, Wieslaw Marszalek

“…The advantage of using the newly design adaptive method to improve the procedure of the Lyapunov exponents computation is illustrated through a series of numerical examples. …”
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Understanding temperature-rain data using ID3 based concept reduction technique in FCA by S. Usharani, S. Kaspar

“…The definitive classification of mean temperature and heaviest rainy days depends on the weather changes that occur seasonwise during any year. In reality, visualizing the effects of climatic changes such as temperature in the rain-yield during over a period of years is very difficult and there is no method or tool to help us in this aspect. …”
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AGASI: A Generative Adversarial Network-Based Approach to Strengthening Adversarial Image Steganography by Haiju Fan, Changyuan Jin, Ming Li

“…Compared to images with the same visual quality, our method increased the misclassification rate by 23.31%.…”
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Spatial analysis of vitality indicators with emphasis on urban roads in Mashhad metropolis by Ahmad hajarian

“…SPSS and multi-criteria decision-making methods such as MEREC and COCOSO and the structural equation method (Smart PLS) have been used to analyze data and information. …”
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Bearing Fault Diagnosis under Transient Conditions: Using Variational Mode Decomposition and the Symmetrized Dot Pattern-Based Convolutional Neural Network Model by Jide Jia, Jianmin Mei, Chuang Sun, Fengjuan Yang

“…An effective bearing fault diagnosis method for gearbox applications under variable operating conditions is proposed, utilizing variational mode decomposition (VMD) for feature extraction, symmetrized dot pattern (SDP) for visual representation, and convolutional neural network (CNN) for deep feature extraction and classification. …”
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ASSESSING PHYSICAL DEVELOPMENT OF CHILDREN WITH PERCENTILE DIAGRAMS by Rita R. Kildiyarova

“…A method for visual examination of physical development using author's percentile diagrams for height, body weight, and the harmony of development of children of different age groups is offered. …”
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