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Journal articles on the topic 'Blue algorithm'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Bhupendra, Kumar, Reeta Pawar Dr., Ram Milan Chadhar Dr., and Vijeta Yadav Dr. "An optimized approach to network congestion avoidance using the blue algorithm." International Journal of Trends in Emerging Research and Development 2, no. 4 (2024): 187–91. https://doi.org/10.5281/zenodo.15152542.

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Research on congestion management and avoidance mechanisms is required since, as data use has been on the rise, current algorithms are struggling to keep up with demand and will need to be improved in the future. With respect to packet loss rates and buffer space requirements, blue is shown to be a much superior algorithm than red via the use of both controlled tests and simulations. The Blue algorithm targets packet loss and connection utilization to provide congestion management. In contrast to every other Active Queue Management technique, blue employs queue length to gauge network congesti

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Heidari, Shahrokh, Mohammad Rasoul Pourarian, Reza Gheibi, Mosayeb Naseri, and Monireh Houshmand. "Quantum red–green–blue image steganography." International Journal of Quantum Information 15, no. 05 (2017): 1750039. http://dx.doi.org/10.1142/s0219749917500393.

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One of the most considering matters in the field of quantum information processing is quantum data hiding including quantum steganography and quantum watermarking. This field is an efficient tool for protecting any kind of digital data. In this paper, three quantum color images steganography algorithms are investigated based on Least Significant Bit (LSB). The first algorithm employs only one of the image’s channels to cover secret data. The second procedure is based on LSB XORing technique, and the last algorithm utilizes two channels to cover the color image for hiding secret quantum data. T

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Hounsou, Norbert, Amadou T. Sanda Mahama, and Pierre Gouton. "4-Band Multispectral Images Demosaicking Combining LMMSE and Adaptive Kernel Regression Methods." Journal of Imaging 8, no. 11 (2022): 295. http://dx.doi.org/10.3390/jimaging8110295.

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In recent years, multispectral imaging systems are considerably expanding with a variety of multispectral demosaicking algorithms. The most crucial task is setting up an optimal multispectral demosaicking algorithm in order to reconstruct the image with less error from the raw image of a single sensor. In this paper, we presented a four-band multispectral filter array (MSFA) with the dominant blue band and a multispectral demosaicking algorithm that combines the linear minimum mean square error (LMMSE) and the adaptive kernel regression methods. To estimate the missing blue bands, we used the

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Zhu, Ting Ting, and Xiao Tao Jiao. "A New Blind Equalization Algorithm Suitable for Sparse Underwater Acoustic Channel." Applied Mechanics and Materials 195-196 (August 2012): 149–53. http://dx.doi.org/10.4028/www.scientific.net/amm.195-196.149.

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The Constant Modulus Algorithms is a mature algorithm for a long time. The researchers are fond of its solidity. But in the area of shallow sea or blue sea, the CMA has poor constringency. In this passage, based on a improved blind equalization algorithm, we proposed a new algorithm which suitable for sparse underwater acoustic channel. The computer simulation results demonstrate fast convergence and fewer accounts.

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ATALLAH, MIKHAIL J., and DANNY Z. CHEN. "ON CONNECTING RED AND BLUE RECTILINEAR POLYGONAL OBSTACLES WITH NONINTERSECTING MONOTONE RECTILINEAR PATHS." International Journal of Computational Geometry & Applications 11, no. 04 (2001): 373–400. http://dx.doi.org/10.1142/s0218195901000547.

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We present efficient algorithms for the problems of matching red and blue disjoint geometric obstacles in the plane and connecting the matched obstacle pairs with mutually nonintersecting paths that have useful geometric properties. We first consider matching n red and n blue disjoint rectilinear rectangles and connecting the n matched rectangle pairs with nonintersecting monotone rectilinear paths; each such path consists of O(n) segments and is not allowed to touch any rectangle other than the matched pair that it is linking. Based on a numbering scheme for certain geometric objects and on s

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Komal, Rani* Gaurav Banga. "DENOISING TECHNIQUE USING TRIMMED BILATERAL FILTERING METHOD." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 9 (2016): 396–404. https://doi.org/10.5281/zenodo.154221.

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This paper work presents an trimmed median filter Bilateral algorithms for the removal of impulse noise has been proposed with color images by separation red- green- blue plane of color image. This proposed algorithm shows better results than the Standard Median Filter (MF), Decision Based Algorithm (DBA), Adaptive Median Filter(AMF) , Hybrid Filter Based Algorithm (HMF), and Trimmed Median Filter (TMF). The performance of the system is analyzed in conditions of Mean square error (MSE), Peak signal to noise ratio (PSNR) image enhancement factor (IEF) and time required for executing the algorit

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Huang, Fangfang, Weiqiang Ma, Suichan Wang, Chao Feng, Xiaoyi Kong, and Hao Liu. "Analysis and Validation of the Aerosol Optical Depth of MODIS Products in Gansu Province, Northwest China." Remote Sensing 15, no. 12 (2023): 2972. http://dx.doi.org/10.3390/rs15122972.

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The accurate determination of aerosol optical depth (AOD) is of great importance for climate change research and environmental monitoring. To understand the applicability of the MODIS aerosol product inversion algorithm in Gansu Province, this work uses ground-based solar photometer AOD observation data to validate the MODIS C6 version of the AOD product. Additionally, the retrieval accuracy of MODIS C6 Deep Blue (DB) algorithm AOD products and Deep Blue and Dark Target Fusion (DB–DT combined) algorithm AOD products for Gansu Province when setting different spatial sampling windows is compared

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Mamunov, Maksim V., and Aleksandr V. Patrushev. "Diagnostic efficiency of the main dermatoscopic symptoms and algorithms for detecting skin melanoma." Russian Military Medical Academy Reports 40, no. 1 (2021): 45–52. http://dx.doi.org/10.17816/rmmar64477.

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AIM: to assess the diagnostic accuracy of the main dermatoscopic signs and algorithms used to diagnose skin melanoma. MATERIALS AND METHODS: To assess the diagnostic effectiveness of the performed dermatoscopy in detecting skin melanoma, the main dermatoscopic signs that occur in this disease were identified: atypical pigment network, atypical globules, asymmetry of pigmentation and structure, asymmetric stripes, asymmetric zones of hyperpigmentation (spots), blue-white (white-blue) veil, graininess, scar-like foci of depigmentation, white shiny stripes, negative pigment network. The stu

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Kala, S., A. Kumar, A. K. Joshi, V. M. Bothale, and B. G. Krishna. "AN ALGORITHM FOR GENERATING NATURAL COLOR IMAGES FROM FALSE COLOR USING SPECTRAL TRANSFORMATION TECHNIQUE WITH HIGHER POLYNOMIAL ORDER." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5 (November 19, 2018): 643–48. http://dx.doi.org/10.5194/isprs-archives-xlii-5-643-2018.

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<p><strong>Abstract.</strong> Satellite imageries in True color composite or Natural Color composite (NCC) serves the best combination for visual interpretation. Red, Green and Infrared channels form false color composite which might not be as useful as NCC to a non-remote sensing professional. As blue band is affected by large atmospheric scattering, satellites like IRS-LISS IV, SPOT do not have blue band. To generate NCC from such satellite data blue band must be simulated. Existing algorithms of spectral transformation do not provide robust coefficients leading to wrong NC

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Ahmed, Abdalla G. M., Jing Ren, and Peter Wonka. "Gaussian Blue Noise." ACM Transactions on Graphics 41, no. 6 (2022): 1–15. http://dx.doi.org/10.1145/3550454.3555519.

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Among the various approaches for producing point distributions with blue noise spectrum, we argue for an optimization framework using Gaussian kernels. We show that with a wise selection of optimization parameters, this approach attains unprecedented quality, provably surpassing the current state of the art attained by the optimal transport (BNOT) approach. Further, we show that our algorithm scales smoothly and feasibly to high dimensions while maintaining the same quality, realizing unprecedented high-quality high-dimensional blue noise sets. Finally, we show an extension to adaptive samplin

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Eskandari, Marzieh, Bhavika B. Khare, Nirman Kumar, and Bigham Bahram Sadeghi. "Red–Blue k-Center Clustering with Distance Constraints." Mathematics 11, no. 3 (2024): 748. https://doi.org/10.3390/math11030748.

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We consider a variant of the <em>k</em>-center clustering problem in IRd, where the centers can be divided into two subsets—one, the red centers of size <em>p</em>, and the other, the blue centers of size <em>q</em>, such that p+q=k, and each red center and each blue center must be a distance of at least some given α≥0 apart. The aim is to minimize the covering radius. We provide a bi-criteria approximation algorithm for the problem and a polynomial time algorithm for the constrained problem where all centers must lie on a given line <em>ℓ</em>. Additionally,

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Borodai, Nataliia. "Aerosol Optical Depth from MODIS satellite data above the Pierre Auger Observatory." EPJ Web of Conferences 197 (2019): 02011. http://dx.doi.org/10.1051/epjconf/201919702011.

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Aerosol optical depth can be retrieved from measurements performed by Moderate Resolution Imaging Spectroradiometer (MODIS) satellite instrument. The MODIS satellite system includes two polar satellites, Terra and Aqua. Each of them flies over the Pierre Auger Observatory once a day, providing two measurements of aerosols per day and covering the whole area of the Observatory. MODIS aerosol data products have been generated by three dedicated algorithms over bright and dark land and over ocean surface. We choose the Deep Blue algorithm data to investigate the distribution of aerosols over the

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Zhang, Zhiqiang, Zhongwen Li, Xiaobing Qiao, and Weijun Wang. "An Efficient Memetic Algorithm for the Minimum Load Coloring Problem." Mathematics 7, no. 5 (2019): 475. http://dx.doi.org/10.3390/math7050475.

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Given a graph G with n vertices and l edges, the load distribution of a coloring q: V → {red, blue} is defined as dq = (rq, bq), in which rq is the number of edges with at least one end-vertex colored red and bq is the number of edges with at least one end-vertex colored blue. The minimum load coloring problem (MLCP) is to find a coloring q such that the maximum load, lq = 1/l × max{rq, bq}, is minimized. This problem has been proved to be NP-complete. This paper proposes a memetic algorithm for MLCP based on an improved K-OPT local search and an evolutionary operation. Furthermore, a data spl

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Eskandari, Marzieh, Bhavika B. Khare, Nirman Kumar, and Bahram Sadeghi Bigham. "Red–Blue k-Center Clustering with Distance Constraints." Mathematics 11, no. 3 (2023): 748. http://dx.doi.org/10.3390/math11030748.

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We consider a variant of the k-center clustering problem in IRd, where the centers can be divided into two subsets—one, the red centers of size p, and the other, the blue centers of size q, such that p+q=k, and each red center and each blue center must be a distance of at least some given α≥0 apart. The aim is to minimize the covering radius. We provide a bi-criteria approximation algorithm for the problem and a polynomial time algorithm for the constrained problem where all centers must lie on a given line ℓ. Additionally, we present a polynomial time algorithm for the case where only the ori

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Ardiansyah, Hendri, and Mochammad Bagoes Satria Junianto. "Penerapan Algoritma Genetika untuk Penjadwalan Mata Pelajaran." JURNAL MEDIA INFORMATIKA BUDIDARMA 6, no. 1 (2022): 329. http://dx.doi.org/10.30865/mib.v6i1.3418.

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Scheduling of subjects in schools often has problems with the course of teaching and learning activities. There are various variations in this problem, due to differences in different policies in scheduling, at Lazuardi Global Compassionate School, Depok City, the schedule is made by making a rough description of the schedule and then transferring it to the Google Sheet application, scheduling in this way is still often mismatched. scheduling is made and also takes quite a long time. This causes the optimal scheduling difficult to obtain. This study discusses the application of genetic algorit

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Dutta, Sayantan, and Ayan Banerjee. "Highly Precise Modified Blue Whale Method Framed by Blending Bat and Local Search Algorithm for the Optimality of Image Fusion Algorithm." December 2020 2, no. 4 (2020): 195–208. http://dx.doi.org/10.36548/jscp.2020.4.001.

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Image fusion has gained huge popularity in the field of medical and satellite imaging for image analysis. The lack of usages of image fusion is due to a deficiency of suitable optimization techniques and dedicated hardware. In recent days WOA (whale optimization algorithm) is gaining popularity. Like another straightforward nature-inspired algorithm, WOA has some problems in its searching process. In this paper, we have tried to improve the WOA algorithm by modifying the WOA algorithm. This MWOA (modified whale optimization algorithm) algorithm is amalgamed with LSA (local search algorithm) an

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Sun, Ying, and Kalra Anurag. "Regular Flow Field Sparse Processing and Blue Finance of Ocean City Research Based on GIS System." Mobile Information Systems 2022 (August 24, 2022): 1–10. http://dx.doi.org/10.1155/2022/7650704.

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In order to explore the development path of blue finance in ocean cities, this paper combines GIS to conduct blue finance research in ocean cities, draws on the traditional direct visualization method of point icons, and uses arrow symbols to render vector flow field data. Moreover, this paper uses GIS means to perform statistical analysis on flow field data, studies the adaptive sparse algorithm of flow field data spatial structure based on GIS, and proposes a program implementation method for regular flow field sparse processing suitable for the general flow of the sparse algorithm. The expe

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Chan, Ka Lok, Pieter Valks, Sander Slijkhuis, Claas Köhler, and Diego Loyola. "Total column water vapor retrieval for Global Ozone Monitoring Experience-2 (GOME-2) visible blue observations." Atmospheric Measurement Techniques 13, no. 8 (2020): 4169–93. http://dx.doi.org/10.5194/amt-13-4169-2020.

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Abstract. We present a new total column water vapor (TCWV) retrieval algorithm in the visible blue spectral band for the Global Ozone Monitoring Experience 2 (GOME-2) instruments on board the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Metop satellites. The blue band algorithm allows the retrieval of water vapor from sensors which do not cover longer wavelengths, such as the Ozone Monitoring Instrument (OMI) and the Copernicus atmospheric composition missions Sentinel-5 Precursor (S5P), Sentinel-4 (S4) and Sentinel-5 (S5). The blue band algorithm uses the

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Mori, Yoshikazu, Koji Ota, and Tatsuya Nakamura. "Robot Motion Algorithm Based on Interaction with Human." Journal of Robotics and Mechatronics 14, no. 5 (2002): 462–70. http://dx.doi.org/10.20965/jrm.2002.p0462.

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In this paper, we quantitatively analyze weariness and impression that a human senses for a robot when the human interacted with the robot through some movements. A red ball and a blue ball are displayed on a simulation screen. The human moves the red ball with a mouse and the computer moves the blue ball. By using these balls, the impression that the action of the robot gives to the human is examined. We analyze the relationship between robot's interactive characterisrtics and produced impressions about the robot in human-robot-interction experiments by using methods of information theory. Th

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Boccuto, Antonio, Ivan Gerace, Valentina Giorgetti, and Matteo Rinaldi. "A Fast Algorithm for the Demosaicing Problem Concerning the Bayer Pattern." Open Signal Processing Journal 6, no. 1 (2019): 1–14. http://dx.doi.org/10.2174/1876825301906010001.

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Introduction: In this paper, we deal with the demosaicing problem when the Bayer pattern is used. We propose a fast heuristic algorithm, consisting of three parts. Methods: In the first one, we initialize the green channel by means of an edge-directed and weighted average technique. In the second part, the red and blue channels are updated, thanks to an equality constraint on the second derivatives. The third part consists of a constant-hue-based interpolation. Results: We show experimentally how the proposed algorithm gives in mean better reconstructions than more computationally expensive al

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Ahmed, Abdalla G. M., Jianwei Guo, Dong-Ming Yan, Jean-Yves Franceschia, Xiaopeng Zhang, and Oliver Deussen. "A Simple Push-Pull Algorithm for Blue-Noise Sampling." IEEE Transactions on Visualization and Computer Graphics 23, no. 12 (2017): 2496–508. http://dx.doi.org/10.1109/tvcg.2016.2641963.

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Abu-Khzam, Faisal N., Amer E. Mouawad, and Mathieu Liedloff. "An exact algorithm for connected red–blue dominating set." Journal of Discrete Algorithms 9, no. 3 (2011): 252–62. http://dx.doi.org/10.1016/j.jda.2011.03.006.

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Hsu, N. C., M. J. Jeong, C. Bettenhausen, et al. "Enhanced Deep Blue aerosol retrieval algorithm: The second generation." Journal of Geophysical Research: Atmospheres 118, no. 16 (2013): 9296–315. http://dx.doi.org/10.1002/jgrd.50712.

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Jo, Bu-Geon, Woo-Suk Jung, Su-Han Nam, and Young-Do Kim. "Prediction of Cyanobacteria Using Decision Tree Algorithm and Sensor Monitoring Data." Applied Sciences 13, no. 22 (2023): 12266. http://dx.doi.org/10.3390/app132212266.

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A multifunctional weir was built on the Nakdong River. As a result, changes in the river environment occurred, such as an increase in river residence time. This causes changes in water quality, including green algae. The occurrence of green algae in the Nakdong River, which is used as a water source, also affects the purified water supply system. In particular, the mass spread of harmful algae is becoming a major problem as the frequency and intensity of occurrences increase. There are various causes of blue-green algae. We would like to examine the relationships between causal factors through

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Li, Xing Xiu, and Pan Long Wu. "Maneuvering Target Tracking Based on Radar/ESM Sensors." Applied Mechanics and Materials 713-715 (January 2015): 672–75. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.672.

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A novel interacting multiple model based on BLUE filter (IMM-BLUE) for tracking a maneuvering target using radar/ESM heterogeneous sensors is presented in this paper. Under the architecture of the proposed algorithm, the interacting multiple model (IMM) deals with the model switching, while the BLUE filter accounts for non-linearity in the dynamic system models. The simulation results show that the presented IMM-BLUE has higher tracking precision than the IMM-DCM, and IMM-EKF.

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Singh, Piyush Kumar, Ravi Shankar Singh, and Kabindra Nath Rai. "A Parallel Algorithm for Wavelet Transform-Based Color Image Compression." Journal of Intelligent Systems 27, no. 1 (2018): 81–90. http://dx.doi.org/10.1515/jisys-2017-0015.

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Abstract Wavelet transforms emerge as one of the popular techniques in image compression. This technique is accepted by the JPEG Committee for the next-generation image compression standard JPEG-2000. Convolution-based strategy is widely used in calculating the wavelet transform of the image. A convolution-based wavelet transform consists of a large number of multiplications and additions. A color image consists of a two-dimensional matrix each for red, green, and blue colors. An ordinary way to calculate the wavelet transform of a color image includes calculating the transform of the intensit

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Yu, Yan, Shengbo Chen, Wenhan Qin, Tianqi Lu, Jian Li, and Yijing Cao. "A Semi-Empirical Chlorophyll-a Retrieval Algorithm Considering the Effects of Sun Glint, Bottom Reflectance, and Non-Algal Particles in the Optically Shallow Water Zones of Sanya Bay Using SPOT6 Data." Remote Sensing 12, no. 17 (2020): 2765. http://dx.doi.org/10.3390/rs12172765.

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Chlorophyll-a (Chl-a) concentration retrieval is essential for water quality monitoring, aquaculture, and guiding coastline infrastructure construction. Compared with common ocean color satellites, land observation satellites have the advantage of a higher resolution and more data sources for retrieving the concentration of Chl-a from optically shallow waters. However, the sun glint (Rsg), bottom reflectance (Rb), and non-algal particle (NAP) derived from terrigenous matter affect the accuracy of Chl-a concentration retrieval using land observation satellite image data. In this paper, we propo

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Calvario, Gabriela, Teresa E. Alarcón, Oscar Dalmau, Basilio Sierra, and Carmen Hernandez. "An Agave Counting Methodology Based on Mathematical Morphology and Images Acquired through Unmanned Aerial Vehicles." Sensors 20, no. 21 (2020): 6247. http://dx.doi.org/10.3390/s20216247.

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Blue agave is an important commercial crop in Mexico, and it is the main source of the traditional mexican beverage known as tequila. The variety of blue agave crop known as Tequilana Weber is a crucial element for tequila agribusiness and the agricultural economy in Mexico. The number of agave plants in the field is one of the main parameters for estimating production of tequila. In this manuscript, we describe a mathematical morphology-based algorithm that addresses the agave automatic counting task. The proposed methodology was applied to a set of real images collected using an Unmanned Aer

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Chen, Hao, Hongsen He, and Xinghua Feng. "Underwater Image Enhancement Method Based On Color Correction and Dark Channel Prior." Journal of Physics: Conference Series 2066, no. 1 (2021): 012050. http://dx.doi.org/10.1088/1742-6596/2066/1/012050.

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Abstract Concerning to the problem in the distortion of color and the low contrast of underwater image, the image enhancement method in the underwater environment based on color correction and dark channel prior was proposed. When dealing with the color bias problem, the blue channel standard ratio is firstly calculated based on the blue channel, and the red and green channels of the underwater image are compensated to remove the blue and green background colors of the underwater image. In light of the problem in the low contrast of image in underwater environment, the dark channel prior (DCP)

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Zhu, Chenyi, Zhiyi Wang, Yinan Peng, and Wenjun Xiao. "An improved Red-billed blue magpie feature selection algorithm for medical data processing." PLOS One 20, no. 5 (2025): e0324866. https://doi.org/10.1371/journal.pone.0324866.

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Feature selection is a crucial preprocessing step in the fields of machine learning, data mining and pattern recognition. In medical data analysis, the large number and complexity of features are often accompanied by redundant or irrelevant features, which not only increase the computational burden, but also may lead to model overfitting, which in turn affects its generalization ability. To address this problem, this paper proposes an improved red-billed blue magpie algorithm (IRBMO), which is specifically optimized for the feature selection task, and significantly improves the performance and

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Huang, Yinrong, Bing Wang, and Xiemin Yuan. "Round Traffic Sign Detection Algorithm." Journal of Physics: Conference Series 2179, no. 1 (2022): 012034. http://dx.doi.org/10.1088/1742-6596/2179/1/012034.

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Abstract Traffic signs are an important part of autonomous driving and intelligent transportation. It provides instructions for pedestrians and vehicles and is critical to road traffic safety. However, existing detection algorithms cannot achieve real-time high-precision detection. Therefore, this paper proposes an algorithm that combines traditional methods with deep learning to detect circular traffic signs. Based on the HSV color space, the red and blue channel images are separated, and the candidate regions of the original image are extracted using the Hough transform. The shallow convolut

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Limbacher, J. A., and R. A. Kahn. "MISR Research Aerosol Algorithm: refinements for dark water retrievals." Atmospheric Measurement Techniques Discussions 7, no. 7 (2014): 7837–82. http://dx.doi.org/10.5194/amtd-7-7837-2014.

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Abstract. We explore systematically the cumulative effect of many assumptions made in the MISR Research Aerosol retrieval algorithm, with the aim of quantifying the main sources of bias and uncertainty over ocean, and correcting them to the extent possible. 1132 coincident, surface-based sun photometer spectral aerosol optical depth (AOD) measurements are used for validation. Based on comparisons between these data and our baseline case (similar to the MISR Standard algorithm, but without the "modified linear mixing" approximation), for mid-visible AOD < 0.10, a high bias of 0.024 (0.032 fo

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Vidal, Fabien, Pierre Leguevaque, Stephanie Motton, et al. "Evaluation of the Sentinel Lymph Node Algorithm With Blue Dye Labeling for Early-Stage Endometrial Cancer in a Multicentric Setting." International Journal of Gynecologic Cancer 23, no. 7 (2013): 1237–43. http://dx.doi.org/10.1097/igc.0b013e31829b1b98.

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ObjectivesSentinel lymph node (SLN) removal may be a midterm between no and full pelvic dissection in early endometrial cancer. Whereas the use of blue dye alone in SLN detection has a poor accuracy, its integration in an SLN algorithm may yield better results and overcome hurdles such as the requirement of nuclear medicine facility.MethodsSixty-six patients with clinical stage I endometrial cancer were prospectively enrolled in a multicentre study between May 2003 and June 2009. Patent blue was injected intraoperatively into the cervix. We retrospectively assessed the accuracy of a previously

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Mnati, Shahad A., Furat I. Hussein, and Ahmed Issa. "Development of an ANN Model for RGB Color Classification using the Dataset Extracted from a Fabricated Colorimeter." Al-Khwarizmi Engineering Journal 19, no. 4 (2023): 67–77. http://dx.doi.org/10.22153/kej.2023.09.003.

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Codes of red, green, and blue data (RGB) extracted from a lab-fabricated colorimeter device were used to build a proposed classifier with the objective of classifying colors of objects based on defined categories of fundamental colors. Primary, secondary, and tertiary colors namely red, green, orange, yellow, pink, purple, blue, brown, grey, white, and black, were employed in machine learning (ML) by applying an artificial neural network (ANN) algorithm using Python. The classifier, which was based on the ANN algorithm, required a definition of the mentioned eleven colors in the form of RGB co

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Dow, Hamish, Andrew Darby, Marcus Perry, and Feng Zhang. "Automated concrete exposed reinforcement and corrosion detection and measurement using coloured illumination." MATEC Web of Conferences 409 (2025): 03006. https://doi.org/10.1051/matecconf/202540903006.

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Visual identification of reinforced concrete structure defects is vital to ensuring structural longevity and resilience. This paper explores the use of selective reflection imaging for concrete surface corrosion and exposed reinforcement detection and measurement. Selective reflection occurs when certain image colours are reflected more strongly than others by a surface. This effect can enhance colour contrast, making certain objects in a captured image appear darker. By imaging concrete surfaces using a blue lighting source, the contrast of red-coloured corrosion and exposed reinforcement is

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Sarybay, O. "DATA COLLECTION OF HAND GESTURES ON A HORIZONTALSURFACE USING MEDIAPIPE LIBRARY." Suleyman Demirel University Bulletin Natural and Technical Sciences 58, no. 1 (2024): 31–41. https://doi.org/10.47344/sdubnts.v58i1.713.

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The horizontal hand gesture recognition is an innovative, cheaper way for human-computer interaction. Currently, most researchers work with sensors, devices for hand gesture recognition, which require more resources. Instead, the presented horizontal method for hand gesture signal recognition by frames, with trained model algorithms. A key element of this work is the researchof a recognition algorithm using only a single camera and collecting dataset totrain a hand recognition model. In the presented framework, the hand detection works with computer vision (CV) algorithms, in general MediaPipe

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Mahmood, Maha, and Belal Al-Khateeb. "The blue monkey: A new nature inspired metaheuristic optimization algorithm." Periodicals of Engineering and Natural Sciences (PEN) 7, no. 3 (2019): 1054. http://dx.doi.org/10.21533/pen.v7i3.621.

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Wang, Xin, Tao Wang, Rui Wu, Ying Chao Niu, Qian Ji, and Wei Shi. "A novel lightweight blue sheep target real-time detection algorithm." International Journal of Computing Science and Mathematics 20, no. 3 (2024): 208–27. http://dx.doi.org/10.1504/ijcsm.2024.142732.

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Prasetya, Muhammad Iqra, Vincentius Paulus Siregar, and Syamsul Bahri Agus. "Comparison of Satellite-Derived Bathymetry Algorithm Accuracy Using Sentinel-2 Multispectral Satellite Image." Jurnal Kelautan Tropis 26, no. 1 (2023): 113–25. http://dx.doi.org/10.14710/jkt.v26i1.16050.

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The utilization of satellite image data and image data processing techniques has become an efficient alternative to obtain bathymetric data in a broad and complicated area. This study aimed to determine the algorithm's performance in the waters of Lambasina Island. Atmospheric and radiometric correction using the Dark Object Subtraction (DOS) method for initial processing of Sentinel-2 images. The multispectral channel used, namely the blue, green, and red bands, was tested by regression using field observation data. The algorithms used to estimate bathymetry include Lyzenga, Stumpf, and Suppo

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Mohd Ali, Nursabillilah, Nahrul Khair Alang Md Rashid, and Yasir Mohd Mustafah. "Performance Comparison between RGB and HSV Color Segmentations for Road Signs Detection." Applied Mechanics and Materials 393 (September 2013): 550–55. http://dx.doi.org/10.4028/www.scientific.net/amm.393.550.

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This paper compares the performance of RGB and HSV color segmentations method in road signs detection. The road signs images are taken under various illumination changes, partial occlusion and rotational changes. The proposed algorithms using both RGB and HSV color space are able to detect the 3 standard types of colored images namely Red, Yellow and Blue. The experiment shows that the HSV color algorithm achieved better detection accuracy compared to RGB color space.

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ELBASSIONI, KHALED, AMR ELMASRY, and KAZUHISA MAKINO. "FINDING SIMPLICES CONTAINING THE ORIGIN IN TWO AND THREE DIMENSIONS." International Journal of Computational Geometry & Applications 21, no. 05 (2011): 495–506. http://dx.doi.org/10.1142/s0218195911003779.

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We show that finding the simplices containing a fixed given point among those defined on a set of n points can be done in O(n + k) time for the two-dimensional case, and in O(n2 + k) time for the three-dimensional case, where k is the number of these simplices. As a byproduct, we give an alternative (to the algorithm in Ref. 4) O(n log r) algorithm that finds the red-blue boundary for n bichromatic points on the line, where r is the size of this boundary. Another byproduct is an O(n2 + t) algorithm that finds the intersections of line segments having two red endpoints with those having two blu

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Azzam, Abdullah, and Setyo Budi Susilo. "Estimating bathymetry using sentinel-2a for shallow-waters mapping: A case study in Kelapa Dua Island." BIO Web of Conferences 106 (2024): 04001. http://dx.doi.org/10.1051/bioconf/202410604001.

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Many algorithms have been developed to map shallow waters from satellite images, but there is no standard algorithm for all waters. The accuracy of the algorithms developed for each body of water has a different level of accuracy. This research aims to use the Stumpf and Lyzenga algorithms to estimate shallow water bathymetry mapping in Kelapa Dua Island. Shallow water bathymetry mapping with both algorithms uses a combination of blue-green bands from Sentinel-2A satellite image data. In addition to Sentinel-2A satellite image data, the data used in this research are depth, water clarity, and

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Garza-González, M. T., M. M. Alcalá-Rodríguez, R. Pérez-Elizondo, et al. "Artificial Neural Network for predicting biosorption of methylene blue by Spirulina sp." Water Science and Technology 63, no. 5 (2011): 977–83. http://dx.doi.org/10.2166/wst.2011.279.

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An artificial neural network (ANN) was used to predict the biosorption of methylene blue on Spirulina sp. biomass. Genetic and anneal algorithms were tested with different quantity of neurons at the hidden layers to determine the optimal neurons in the ANN architecture. In addition, sensitivity analyses were conducted with the optimised ANN architecture for establishing which input variables (temperature, pH, and biomass dose) significantly affect the predicted data (removal efficiency or biosorption capacity). A number of isotherm models were also compared with the optimised ANN architecture.

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Wang, Rong. "Research on Intelligent English Translation Method Based on the Improved Attention Mechanism Model." Scientific Programming 2021 (November 23, 2021): 1–8. http://dx.doi.org/10.1155/2021/9667255.

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The use of neural machine algorithms for English translation is a hot topic in the current research. English translation using the traditional sequential neural framework, which is too poor at capturing long-distance information, has its own major limitations. However, the current improved frameworks, such as recurrent neural network translation, are not satisfactory either. In this paper, we establish an attention coding and decoding model to address the shortcomings of traditional machine translation algorithms, combine the attention mechanism with a neural network framework, and implement t

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Zhang, Xin, Dong Chen E, and Chun Xia Zhou. "Monitoring of Blue-Ice Extent on Satellite Images of Grove Mountains, Antarctica." Key Engineering Materials 500 (January 2012): 475–80. http://dx.doi.org/10.4028/www.scientific.net/kem.500.475.

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This report presents the finding of seasonal and interannual variations of blue-ice extent in the Grove Mountains, by using images from Moderate Resolution Imaging Spectroradiomete (MODIS) and Landsat. The MODIS raw data were first treated by the pretreatment methods and the blue-ice pixels was separated by the blue-ice mapping algorithm. From the data over three summer seasons, the variation regularity of seasonal blue-ice exposure are summarized. The area grows rapidly from September to December and peaks to about 600km2 by the middle or late of next January, then it declines from February t

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Babalola, Oluwaseyi Paul, Olayinka Olaolu Ogundile, and Vipin Balyan. "Multiscale Sample Entropy-Based Feature Extraction with Gaussian Mixture Model for Detection and Classification of Blue Whale Vocalization." Entropy 27, no. 4 (2025): 355. https://doi.org/10.3390/e27040355.

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A multiscale sample entropy (MSE) algorithm is presented as a time domain feature extraction method to study the vocal behavior of blue whales through continuous acoustic monitoring. Additionally, MSE is applied to the Gaussian mixture model (GMM) for blue whale call detection and classification. The performance of the proposed MSE-GMM algorithm is experimentally assessed and benchmarked against traditional methods, including principal component analysis (PCA), wavelet-based feature (WF) extraction, and dynamic mode decomposition (DMD), all combined with the GMM. This study utilizes recorded d

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Yang, Meng Meng, Joji Ishizaka, Joaquim I. Goes, et al. "Improved MODIS-Aqua Chlorophyll-a Retrievals in the Turbid Semi-Enclosed Ariake Bay, Japan." Remote Sensing 10, no. 9 (2018): 1335. http://dx.doi.org/10.3390/rs10091335.

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The accurate retrieval of chlorophyll-a concentration (Chl-a) from ocean color satellite data is extremely challenging in turbid, optically complex coastal waters. Ariake Bay in Japan is a turbid semi-enclosed bay of great socio-economic significance, but it suffers from serious water quality problems, particularly due to red tide events. Chl-a derived from the MODerate resolution Imaging Spectroradiometer (MODIS) sensor on satellite Aqua in Ariake Bay was investigated, and it was determined that the causes of the errors were from inaccurate atmospheric correction and inappropriate in-water al

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Shafii, Kasim, Mustapha Aminu Bagiwa, A. A. Obiniyi, et al. "BLUE SCREEN VIDEO FORGERY DETECTION AND LOCALIZATION USING AN ENHANCED 3-STAGE FOREGROUND ALGORITHM." FUDMA JOURNAL OF SCIENCES 5, no. 2 (2021): 133–44. http://dx.doi.org/10.33003/fjs-2021-0501-526.

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The availability of easy to use video editing software has made it easy for cyber criminals to combine different videos from different sources using blue screen composition technology. This, makes the authenticity of such digital videos questionable and needs to be verified especially in the court of law. Blue Screen Composition is one of the ways to carry out video forgery using simple to use and affordable video editing software. Detecting this type of video forgery aims at revealing and observing the facts about a video so as to conclude whether the contents of the video have undergone any

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Khudov, Hennadii, Oleksandr Makoveichuk, Irina Khizhnyak, et al. "Devising a method for segmenting complex structured images acquired from space observation systems based on the particle swarm algorithm." Eastern-European Journal of Enterprise Technologies 2, no. 9 (116) (2022): 6–13. http://dx.doi.org/10.15587/1729-4061.2022.255203.

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This paper considers the improved method for segmenting complex structured images acquired from space observation systems based on the particle swarm algorithm. Unlike known ones, the method for segmenting complex structured images based on the particle swarm algorithm involves the following: – highlighting brightness channels in the Red-Green-Blue color space; – using a particle swarm method in the image in each channel of brightness of the RGB color space; – image segmentation is reduced to calculating the objective function, moving speed, and a new location for each swarm particle in the im

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Hennadii, Khudov, Makoveichuk Oleksandr, Khizhnyak Irina, et al. "Devising a method for segmenting complex structured images acquired from space observation systems based on the particle swarm algorithm." Eastern-European Journal of Enterprise Technologies 2, no. 9 (116) (2022): 6–13. https://doi.org/10.15587/1729-4061.2022.255203.

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Abstract:

This paper considers the improved method for segmenting complex structured images acquired from space observation systems based on the particle swarm algorithm. Unlike known ones, the method for segmenting complex structured images based on the particle swarm algorithm involves the following: – highlighting brightness channels in the Red-Green-Blue color space; – using a particle swarm method in the image in each channel of brightness of the RGB color space; – image segmentation is reduced to calculating the objective function, moving speed, and a new location

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