Journal articles on the topic 'Machine learning algorithms for denoising'
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Li, Zeyu. "Image Denoising based on Deep Learning." Highlights in Science, Engineering and Technology 39 (April 1, 2023): 1245–51. http://dx.doi.org/10.54097/hset.v39i.6749.
Full textTang, Ke. "Comparative analysis of voice denoising using machine learning and traditional denoising." Applied and Computational Engineering 30, no. 1 (2024): 118–24. http://dx.doi.org/10.54254/2755-2721/30/20230083.
Full textFu, Shaokun, Yize Wu, Rundong Wang, and Mingzhi Mao. "A Bearing Fault Diagnosis Method Based on Wavelet Denoising and Machine Learning." Applied Sciences 13, no. 10 (2023): 5936. http://dx.doi.org/10.3390/app13105936.
Full textKalyani, Akhade, Ghodekar Sakshi, Kapse Vaishnavi, Raykar Anuja, and Wadhvane Sonal. "A Survey on Image Denoising Techniques." International Journal of Innovative Science and Research Technology (IJISRT) 9, no. 2 (2024): 2. https://doi.org/10.5281/zenodo.10686007.
Full textRajput, Savita, Apurva Ware, Karan Umredkar, and Prof Jaya Jeshwani. "Digital Watermarking Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 2081–85. http://dx.doi.org/10.22214/ijraset.2022.40991.
Full textRajput, Savita, Apurva Ware, Karan Umredkar, and Prof Jaya Jeshwani. "Digital Watermarking Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 2081–85. http://dx.doi.org/10.22214/ijraset.2022.40991.
Full textGupta, Ankita, Lakhwinder Kaur, and Gurmeet Kaur. "Drought stress detection technique for wheat crop using machine learning." PeerJ Computer Science 9 (May 19, 2023): e1268. http://dx.doi.org/10.7717/peerj-cs.1268.
Full textWu, Dingming, Xiaolong Wang, and Shaocong Wu. "A Hybrid Method Based on Extreme Learning Machine and Wavelet Transform Denoising for Stock Prediction." Entropy 23, no. 4 (2021): 440. http://dx.doi.org/10.3390/e23040440.
Full textLiu, Zhongyuan, Xian Zhang, Diquan Li, Shupeng Liu, and Ke Cao. "Noise Elimination for Wide Field Electromagnetic Data via Improved Dung Beetle Optimized Gated Recurrent Unit." Geosciences 15, no. 1 (2025): 8. https://doi.org/10.3390/geosciences15010008.
Full textLi, Qi, Ruiqi Lin, Yu Zhang, Wei Ba, and Wei Lu. "A novel wavelet threshold denoising and deep belief network fault detection algorithm." Insight - Non-Destructive Testing and Condition Monitoring 63, no. 10 (2021): 610–17. http://dx.doi.org/10.1784/insi.2021.63.10.610.
Full textBezerra, Francisco Elânio, Geraldo Cardoso de Oliveira Neto, Gabriel Magalhães Cervi, et al. "Impacts of Feature Selection on Predicting Machine Failures by Machine Learning Algorithms." Applied Sciences 14, no. 8 (2024): 3337. http://dx.doi.org/10.3390/app14083337.
Full textHan, Chang. "The Analysis about Compressed Sensing Reconstruction Algorithm Based on Machine Learning Applied in Interference Multispectral Images." Advances in Multimedia 2021 (November 26, 2021): 1–6. http://dx.doi.org/10.1155/2021/8020473.
Full textFan, Zhiyong, Quansen Sun, Feng Ruan, Kai Hu, and Jin Wang. "A Novel Extreme Learning Machine based Denoising Algorithm." International Journal of Signal Processing, Image Processing and Pattern Recognition 9, no. 2 (2016): 159–66. http://dx.doi.org/10.14257/ijsip.2016.9.2.114.
Full textRamírez Vélez, J. C., C. Yáñez Márquez, and J. P. Córdova Barbosa. "Using machine learning algorithms to measure stellar magnetic fields." Astronomy & Astrophysics 619 (November 2018): A22. http://dx.doi.org/10.1051/0004-6361/201833016.
Full textXu, Jiang, Siqian Liu, Zhikui Chen, and Yonglin Leng. "A Hybrid Imputation Method Based on Denoising Restricted Boltzmann Machine." International Journal of Grid and High Performance Computing 10, no. 2 (2018): 1–13. http://dx.doi.org/10.4018/ijghpc.2018040101.
Full textBsoul, Qusay, and Malik Jawarneh. "Olive Leaf Disease Detection using Improvised Machine Learning Techniques." Semarak International Journal of Machine Learning 5, no. 1 (2025): 64–73. https://doi.org/10.37934/sijml.5.1.6473a.
Full textBsoul, Qusay Bsoul, and Malik Jawarneh. "Olive Leaf Disease Detection using Improvised Machine Learning Techniques." Semarak International Journal of Machine Learning 5, no. 1 (2025): 64–73. https://doi.org/10.37934/sijml.5.1.6473.
Full textPradumn Kumar, Praveen Kumar Shukla. "Deep Learning in Computer Vision: A Critical Review." Journal of Electrical Systems 20, no. 3 (2024): 5540–62. http://dx.doi.org/10.52783/jes.6453.
Full textRymarczyk, Tomasz, and Grzegorz Kłosowski. "Applying Machine Learning Algorithms to Solve Inverse Problems in Electrical Tomography." MATEC Web of Conferences 210 (2018): 02016. http://dx.doi.org/10.1051/matecconf/201821002016.
Full textAjay, P., B. Nagaraj, R. Arun Kumar, Ruihang Huang, and P. Ananthi. "Unsupervised Hyperspectral Microscopic Image Segmentation Using Deep Embedded Clustering Algorithm." Scanning 2022 (June 6, 2022): 1–9. http://dx.doi.org/10.1155/2022/1200860.
Full textNair, Priyanka, Devesh Kumar Srivastava, and Roheet Bhatnagar. "Noise reduction in Hyperion high dynamic range hyperspectral data using machine learning and statistical techniques." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 6 (2024): 6913. http://dx.doi.org/10.11591/ijece.v14i6.pp6913-6928.
Full textVidunath, Janitha, Chamath Shamal, Ravindu Hiroshan, Udani Gamlath, Chamira U. S. Edussooriya, and Sudath R. Munasinghe. "Identification of Elephant Rumbles in Seismic Infrasonic Signals Using Spectrogram-Based Machine Learning." Applied System Innovation 7, no. 6 (2024): 117. http://dx.doi.org/10.3390/asi7060117.
Full textPompapathi, Manasani, Shaik Khaleelahmed, Malik Jawarneh, et al. "Effective crop categorization using wavelet transform based optimized long short-term memory technique." Bulletin of Electrical Engineering and Informatics 14, no. 3 (2025): 2309–18. https://doi.org/10.11591/eei.v14i3.7748.
Full textOyewola, David Opeoluwa, Emmanuel Gbenga Dada, Sanjay Misra, and Robertas Damaševičius. "Predicting COVID-19 Cases in South Korea with All K-Edited Nearest Neighbors Noise Filter and Machine Learning Techniques." Information 12, no. 12 (2021): 528. http://dx.doi.org/10.3390/info12120528.
Full textZhang, Jingsi, Xiaosheng Yu, Xiaoliang Lei, and Chengdong Wu. "A Multi-Feature Fusion Model Based on Denoising Convolutional Neural Network and Attention Mechanism for Image Classification." International Journal of Swarm Intelligence Research 14, no. 2 (2023): 1–15. http://dx.doi.org/10.4018/ijsir.324074.
Full textHao, Zhonghua, Shiwei Ma, Hui Chen, and Jingjing Liu. "Dataset Denoising Based on Manifold Assumption." Mathematical Problems in Engineering 2021 (January 18, 2021): 1–14. http://dx.doi.org/10.1155/2021/6432929.
Full textKłosowski, Grzegorz, Tomasz Rymarczyk, and Edward Kozłowski. "Tomographic image correction with noise reduction algorithms." MATEC Web of Conferences 252 (2019): 09001. http://dx.doi.org/10.1051/matecconf/201925209001.
Full textTreder, Kevin P., Chen Huang, Judy S. Kim, and Angus I. Kirkland. "Applications of deep learning in electron microscopy." Microscopy 71, Supplement_1 (2022): i100—i115. http://dx.doi.org/10.1093/jmicro/dfab043.
Full textSedik, Ahmed, Mohamed Marey, and Hala Mostafa. "WFT-Fati-Dec: Enhanced Fatigue Detection AI System Based on Wavelet Denoising and Fourier Transform." Applied Sciences 13, no. 5 (2023): 2785. http://dx.doi.org/10.3390/app13052785.
Full textHanan A. R. Akkar, Wael A. H. Hadi, Ibraheem H. Al-Dosari, Saadi M. Saadi, and Aseel Ismael Ali. "Classification Accuracy Enhancement Based Machine Learning Models and Transform Analysis." Communications - Scientific letters of the University of Zilina 23, no. 2 (2021): C44—C53. http://dx.doi.org/10.26552/com.c.2021.2.c44-c53.
Full textLiu, Meizhuang, Faxian Cao, Zhijing Yang, Xiaobin Hong, and Yuezhen Huang. "Hyperspectral Image Denoising and Classification Using Multi-Scale Weighted EMAPs and Extreme Learning Machine." Electronics 9, no. 12 (2020): 2137. http://dx.doi.org/10.3390/electronics9122137.
Full textAntara, Fahmida Ahmed, ASM Shamsul Arefin, Md Tamjid Rayhan, and Sabbir Ahmed Chowdhury. "Detection of Schizophrenia from EEG Signals using Dual Tree Complex Wavelet Transform and Machine Learning Algorithms." Bangladesh Journal of Medical Physics 15, no. 1 (2022): 8–27. http://dx.doi.org/10.3329/bjmp.v15i1.63559.
Full textZhang, Zheng-Yong, Jian-Sheng Su, and Huan-Ming Xiong. "Technology for the Quantitative Identification of Dairy Products Based on Raman Spectroscopy, Chemometrics, and Machine Learning." Molecules 30, no. 2 (2025): 239. https://doi.org/10.3390/molecules30020239.
Full textRai, Ankush, and Jagadeesh Kannan R. "BI-DIRECTIONAL RECURRENT NEURAL NETWORK FOR IMPROVING MULTISPECTRAL IMAGE DENOISING." Asian Journal of Pharmaceutical and Clinical Research 10, no. 13 (2017): 272. http://dx.doi.org/10.22159/ajpcr.2017.v10s1.19678.
Full textChrétien, Stéphane, and Pascal Bondon. "Projection Methods for Uniformly Convex Expandable Sets." Mathematics 8, no. 7 (2020): 1108. http://dx.doi.org/10.3390/math8071108.
Full textTiwari, Pradeep Kumar, K. Kannan, Duggineni Veeraiah, et al. "Security Protection Mechanism in Cloud Computing Authorization Model Using Machine Learning Techniques." Wireless Communications and Mobile Computing 2022 (July 26, 2022): 1–12. http://dx.doi.org/10.1155/2022/1907511.
Full textSu, Wenbin, Yifei Zhang, Hongbo Wei, and Qi Gao. "Denoising and Dehazing an Image in a Cascaded Pattern for Continuous Casting." Metals 12, no. 1 (2022): 126. http://dx.doi.org/10.3390/met12010126.
Full textWang, Yukun, Aiying Zhao, Xiaoxue Wei, and Ranran Li. "A Novel Ensemble Model Based on an Advanced Optimization Algorithm for Wind Speed Forecasting." Energies 16, no. 14 (2023): 5281. http://dx.doi.org/10.3390/en16145281.
Full textWei, Xing, and Ruifang Sui. "A Review of Machine Learning Algorithms for Retinal Cyst Segmentation on Optical Coherence Tomography." Sensors 23, no. 6 (2023): 3144. http://dx.doi.org/10.3390/s23063144.
Full textDe Fazio, Roberto, Lorenzo Spongano, Massimo De Vittorio, Luigi Patrono, and Paolo Visconti. "Machine Learning Algorithms for Processing and Classifying Unsegmented Phonocardiographic Signals: An Efficient Edge Computing Solution Suitable for Wearable Devices." Sensors 24, no. 12 (2024): 3853. http://dx.doi.org/10.3390/s24123853.
Full textLe, Xiao Yan. "A Web Text De-Noising Algorithm Based on Machine Learning." Applied Mechanics and Materials 536-537 (April 2014): 516–19. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.516.
Full textYussif, Abdul-Mugis, Haleh Sadeghi, and Tarek Zayed. "Application of Machine Learning for Leak Localization in Water Supply Networks." Buildings 13, no. 4 (2023): 849. http://dx.doi.org/10.3390/buildings13040849.
Full textXu, Zhou, Dongdong Ye, Jianjun Chen, and Haiting Zhou. "Novel Terahertz Nondestructive Method for Measuring the Thickness of Thin Oxide Scale Using Different Hybrid Machine Learning Models." Coatings 10, no. 9 (2020): 805. http://dx.doi.org/10.3390/coatings10090805.
Full textYang, Jingmin, Shanghui Deng, Li Xu, and Wenjie Zhang. "Calibration-Free 3D Indoor Positioning Algorithms Based on DNN and DIFF." Sensors 22, no. 15 (2022): 5891. http://dx.doi.org/10.3390/s22155891.
Full textTamilselvi, C., Md Yeasin, Ranjit Kumar Paul, and Amrit Kumar Paul. "Can Denoising Enhance Prediction Accuracy of Learning Models? A Case of Wavelet Decomposition Approach." Forecasting 6, no. 1 (2024): 81–99. http://dx.doi.org/10.3390/forecast6010005.
Full textMohammad-Djafari, Ali. "Regularization, Bayesian Inference, and Machine Learning Methods for Inverse Problems." Entropy 23, no. 12 (2021): 1673. http://dx.doi.org/10.3390/e23121673.
Full textKittisuwan, Pichid. "Speckle Noise Reduction of Medical Imaging via Logistic Density in Redundant Wavelet Domain." International Journal on Artificial Intelligence Tools 27, no. 02 (2018): 1850006. http://dx.doi.org/10.1142/s0218213018500069.
Full textGolkar Amoli, Mehdi, Mahdi Hasanlou, Ruhollah Taghizadeh Mehrjardi, and Farhad Samadzadegan. "Exploring the Potential of PRISMA Satellite Hyperspectral Image for Estimating Soil Organic Carbon in Marvdasht Region, Southern Iran." Remote Sensing 16, no. 12 (2024): 2149. http://dx.doi.org/10.3390/rs16122149.
Full textZhang, Shaohui, and Weihua Li. "Bearing Condition Recognition and Degradation Assessment under Varying Running Conditions Using NPE and SOM." Mathematical Problems in Engineering 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/781583.
Full textJóźwik-Wabik, Piotr, Krzysztof Bernacki, and Adam Popowicz. "Comparison of Training Strategies for Autoencoder-Based Monochromatic Image Denoising." Sensors 23, no. 12 (2023): 5538. http://dx.doi.org/10.3390/s23125538.
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