Artículos de revistas sobre el tema "REAL IMAGE PREDICTION"
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Takezawa, Takuma y Yukihiko Yamashita. "Wavelet Based Image Coding via Image Component Prediction Using Neural Networks". International Journal of Machine Learning and Computing 11, n.º 2 (marzo de 2021): 137–42. http://dx.doi.org/10.18178/ijmlc.2021.11.2.1026.
Texto completoHong, Yan, Li Niu y Jianfu Zhang. "Shadow Generation for Composite Image in Real-World Scenes". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 1 (28 de junio de 2022): 914–22. http://dx.doi.org/10.1609/aaai.v36i1.19974.
Texto completoSather, A. P., S. D. M. Jones y D. R. C. Bailey. "Real-time ultrasound image analysis for the estimation of carcass yield and pork quality". Canadian Journal of Animal Science 76, n.º 1 (1 de marzo de 1996): 55–62. http://dx.doi.org/10.4141/cjas96-008.
Texto completoTham, Hwee Sheng, Razaidi Hussin y Rizalafande Che Ismail. "A Real-Time Distance Prediction via Deep Learning and Microsoft Kinect". IOP Conference Series: Earth and Environmental Science 1064, n.º 1 (1 de julio de 2022): 012048. http://dx.doi.org/10.1088/1755-1315/1064/1/012048.
Texto completoPintelas, Emmanuel, Meletis Liaskos, Ioannis E. Livieris, Sotiris Kotsiantis y Panagiotis Pintelas. "Explainable Machine Learning Framework for Image Classification Problems: Case Study on Glioma Cancer Prediction". Journal of Imaging 6, n.º 6 (28 de mayo de 2020): 37. http://dx.doi.org/10.3390/jimaging6060037.
Texto completoSnider, Eric J., Sofia I. Hernandez-Torres y Ryan Hennessey. "Using Ultrasound Image Augmentation and Ensemble Predictions to Prevent Machine-Learning Model Overfitting". Diagnostics 13, n.º 3 (23 de enero de 2023): 417. http://dx.doi.org/10.3390/diagnostics13030417.
Texto completoFroning, Dieter, Eugen Hoppe y Ralf Peters. "The Applicability of Machine Learning Methods to the Characterization of Fibrous Gas Diffusion Layers". Applied Sciences 13, n.º 12 (9 de junio de 2023): 6981. http://dx.doi.org/10.3390/app13126981.
Texto completoMoskolaï, Waytehad Rose, Wahabou Abdou, Albert Dipanda y Kolyang. "Application of Deep Learning Architectures for Satellite Image Time Series Prediction: A Review". Remote Sensing 13, n.º 23 (27 de noviembre de 2021): 4822. http://dx.doi.org/10.3390/rs13234822.
Texto completoRajesh, E., Shajahan Basheer, Rajesh Kumar Dhanaraj, Soni Yadav, Seifedine Kadry, Muhammad Attique Khan, Ye Jin Kim y Jae-Hyuk Cha. "Machine Learning for Online Automatic Prediction of Common Disease Attributes Using Never-Ending Image Learner". Diagnostics 13, n.º 1 (28 de diciembre de 2022): 95. http://dx.doi.org/10.3390/diagnostics13010095.
Texto completoBhimte, Sumit, Hrishikesh hasabnis, Rohit Shirsath, Saurabh Sonar y Mahendra Salunke. "Severity Prediction System for Real Time Pothole Detection". Journal of University of Shanghai for Science and Technology 23, n.º 07 (29 de julio de 2021): 1328–34. http://dx.doi.org/10.51201/jusst/21/07356.
Texto completoCaesarendra, Wahyu, Taufiq Aiman Hishamuddin, Daphne Teck Ching Lai, Asmah Husaini, Lisa Nurhasanah, Adam Glowacz y Gusti Ahmad Fanshuri Alfarisy. "An Embedded System Using Convolutional Neural Network Model for Online and Real-Time ECG Signal Classification and Prediction". Diagnostics 12, n.º 4 (24 de marzo de 2022): 795. http://dx.doi.org/10.3390/diagnostics12040795.
Texto completoWang, Fan, Jia Chen, Haonan Zhong, Yibo Ai y Weidong Zhang. "No-Reference Image Quality Assessment Based on Image Multi-Scale Contour Prediction". Applied Sciences 12, n.º 6 (10 de marzo de 2022): 2833. http://dx.doi.org/10.3390/app12062833.
Texto completoArubai, Nadim, Omar Hamdoun y Assef Jafar. "Building a Real-Time 2D Lidar Using Deep Learning". Journal of Robotics 2021 (5 de febrero de 2021): 1–7. http://dx.doi.org/10.1155/2021/6652828.
Texto completoSekrecka, Aleksandra. "Application of the XBoost Regressor for an A Priori Prediction of UAV Image Quality". Remote Sensing 13, n.º 23 (24 de noviembre de 2021): 4757. http://dx.doi.org/10.3390/rs13234757.
Texto completoWang, Jian y Miaomiao Zhang. "Deep Learning for Regularization Prediction in Diffeomorphic Image Registration". Machine Learning for Biomedical Imaging 1, February 2022 (13 de febrero de 2022): 1–20. http://dx.doi.org/10.59275/j.melba.2021-77df.
Texto completoZha, Daolu, Xi Jin, Rui Shang y Pengfei Yang. "A Real-Time Learning-Based Super-Resolution System on FPGA". Parallel Processing Letters 30, n.º 04 (diciembre de 2020): 2050011. http://dx.doi.org/10.1142/s0129626420500115.
Texto completoWang, Li, Wenhao Li, Xiaoyi Wang y Jiping Xu. "Remote sensing image analysis and prediction based on improved Pix2Pix model for water environment protection of smart cities". PeerJ Computer Science 9 (26 de abril de 2023): e1292. http://dx.doi.org/10.7717/peerj-cs.1292.
Texto completoPintelas, Emmanuel, Ioannis E. Livieris y Panagiotis Pintelas. "Explainable Feature Extraction and Prediction Framework for 3D Image Recognition Applied to Pneumonia Detection". Electronics 12, n.º 12 (14 de junio de 2023): 2663. http://dx.doi.org/10.3390/electronics12122663.
Texto completoZhang, Lei y Shaofeng Shao. "Image-based machine learning for materials science". Journal of Applied Physics 132, n.º 10 (14 de septiembre de 2022): 100701. http://dx.doi.org/10.1063/5.0087381.
Texto completoZhu, Jinsong, Wei Li, Da Lin y Ge Zhao. "Real-Time Monitoring of Jet Trajectory during Jetting Based on Near-Field Computer Vision". Sensors 19, n.º 3 (8 de febrero de 2019): 690. http://dx.doi.org/10.3390/s19030690.
Texto completoDong, Huihui, Wenping Ma, Yue Wu, Jun Zhang y Licheng Jiao. "Self-Supervised Representation Learning for Remote Sensing Image Change Detection Based on Temporal Prediction". Remote Sensing 12, n.º 11 (9 de junio de 2020): 1868. http://dx.doi.org/10.3390/rs12111868.
Texto completoGarg, Meenu, Sheifali Gupta, Rakesh Ahuja y Deepali Gupta. "Diabetic Retinopathy Prediction Device System". Journal of Computational and Theoretical Nanoscience 16, n.º 10 (1 de octubre de 2019): 4266–70. http://dx.doi.org/10.1166/jctn.2019.8511.
Texto completoRubel, Lukin, Rubel y Egiazarian. "NN-Based Prediction of Sentinel-1 SAR Image Filtering Efficiency". Geosciences 9, n.º 7 (29 de junio de 2019): 290. http://dx.doi.org/10.3390/geosciences9070290.
Texto completoShi, Jingmin, Fanhuai Shi y Xixia Huang. "Prediction of Maturity Date of Leafy Greens Based on Causal Inference and Convolutional Neural Network". Agriculture 13, n.º 2 (9 de febrero de 2023): 403. http://dx.doi.org/10.3390/agriculture13020403.
Texto completoXu, Peng, Man Guo, Lei Chen, Weifeng Hu, Qingshan Chen y Yujun Li. "No-Reference Stereoscopic Image Quality Assessment Based on Binocular Statistical Features and Machine Learning". Complexity 2021 (28 de enero de 2021): 1–14. http://dx.doi.org/10.1155/2021/8834652.
Texto completoVidyapu, Sandeep, Vijaya Saradhi Vedula y Samit Bhattacharya. "Weighted Voting-Based Effective Free-Viewing Attention Prediction On Web Image Elements". Interacting with Computers 32, n.º 2 (marzo de 2020): 170–84. http://dx.doi.org/10.1093/iwcomp/iwaa013.
Texto completoVerma, Poonam, Huanmei Wu, Mark Langer, Indra Das y George Sandison. "Survey: Real-Time Tumor Motion Prediction for Image-Guided Radiation Treatment". Computing in Science & Engineering 13, n.º 5 (septiembre de 2011): 24–35. http://dx.doi.org/10.1109/mcse.2010.99.
Texto completoSharp, Gregory C., Steve B. Jiang, Shinichi Shimizu y Hiroki Shirato. "Prediction of respiratory tumour motion for real-time image-guided radiotherapy". Physics in Medicine and Biology 49, n.º 3 (16 de enero de 2004): 425–40. http://dx.doi.org/10.1088/0031-9155/49/3/006.
Texto completoYan, Kai, Lanyue Liang, Ziqiang Zheng, Guoqing Wang y Yang Yang. "Medium Transmission Map Matters for Learning to Restore Real-World Underwater Images". Applied Sciences 12, n.º 11 (27 de mayo de 2022): 5420. http://dx.doi.org/10.3390/app12115420.
Texto completoZhao, Qi, Zhichao Xin, Zhibin Yu y Bing Zheng. "Unpaired Underwater Image Synthesis with a Disentangled Representation for Underwater Depth Map Prediction". Sensors 21, n.º 9 (9 de mayo de 2021): 3268. http://dx.doi.org/10.3390/s21093268.
Texto completoChen, Kaimeng y Chin-Chen Chang. "Real-Time Error-Free Reversible Data Hiding in Encrypted Images Using (7, 4) Hamming Code and Most Significant Bit Prediction". Symmetry 11, n.º 1 (4 de enero de 2019): 51. http://dx.doi.org/10.3390/sym11010051.
Texto completoSiddiqui, Faisal Mubeen. "Chili Leaf Disease Prediction Using CNN". International Journal for Research in Applied Science and Engineering Technology 11, n.º 5 (31 de mayo de 2023): 4791–97. http://dx.doi.org/10.22214/ijraset.2023.52757.
Texto completoLiu, Hui, Liangchen Qi y Mingsong Sun. "Short-Term Stock Price Prediction Based on CAE-LSTM Method". Wireless Communications and Mobile Computing 2022 (22 de junio de 2022): 1–7. http://dx.doi.org/10.1155/2022/4809632.
Texto completoIslam, Md Mahbubul y Joong-Hwan Baek. "A Hierarchical Approach toward Prediction of Human Biological Age from Masked Facial Image Leveraging Deep Learning Techniques". Applied Sciences 12, n.º 11 (24 de mayo de 2022): 5306. http://dx.doi.org/10.3390/app12115306.
Texto completoGuo, Yiming, Xiaoqing Wu, Chun Qing, Liyong Liu, Qike Yang, Xiaodan Hu, Xianmei Qian y Shiyong Shao. "Blind Restoration of a Single Real Turbulence-Degraded Image Based on Self-Supervised Learning". Remote Sensing 15, n.º 16 (18 de agosto de 2023): 4076. http://dx.doi.org/10.3390/rs15164076.
Texto completoShirkande, Dr S. T., Rutuja B. Bhosale, Shweta S. More y Suyash S. Awate. "Drowsiness Prediction Based on Multiple Aspects Using Image Processing Techniques: A Review". International Journal for Research in Applied Science and Engineering Technology 11, n.º 2 (28 de febrero de 2023): 92–94. http://dx.doi.org/10.22214/ijraset.2023.48970.
Texto completoChen, Xinru. "Prediction of Electric Load Neural Network Prediction Model for Big Data". BCP Social Sciences & Humanities 21 (15 de febrero de 2023): 549–55. http://dx.doi.org/10.54691/bcpssh.v21i.3640.
Texto completoKim, Jie-Hyun, Sang-Il Oh, So-Young Han, Ji-Soo Keum, Kyung-Nam Kim, Jae-Young Chun, Young-Hoon Youn y Hyojin Park. "An Optimal Artificial Intelligence System for Real-Time Endoscopic Prediction of Invasion Depth in Early Gastric Cancer". Cancers 14, n.º 23 (5 de diciembre de 2022): 6000. http://dx.doi.org/10.3390/cancers14236000.
Texto completoGupta, Ashish y Rishabh Mehrotra. "Joint Attention Neural Model for Demand Prediction in Online Marketplaces". Proceedings of the Northern Lights Deep Learning Workshop 1 (6 de febrero de 2020): 6. http://dx.doi.org/10.7557/18.5170.
Texto completoJiang, Shu y Graham A. Colditz. "Abstract LB161: Whole mammogram image improves breast cancer prediction". Cancer Research 82, n.º 12_Supplement (15 de junio de 2022): LB161. http://dx.doi.org/10.1158/1538-7445.am2022-lb161.
Texto completoZhu, Jianchen, Kaixin Han y Shenlong Wang. "Automobile tire life prediction based on image processing and machine learning technology". Advances in Mechanical Engineering 13, n.º 3 (marzo de 2021): 168781402110027. http://dx.doi.org/10.1177/16878140211002727.
Texto completoManickathan, L., C. Mucignat y I. Lunati. "Higher-Order Accurate Neural Network For Real-Time Fluid Velocimetry". Proceedings of the International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics 20 (11 de julio de 2022): 1–13. http://dx.doi.org/10.55037/lxlaser.20th.59.
Texto completoMANZIUK, E., T. SKRYPNYK y M. HIRNYI. "DETERMINATION OF RECIPES CONSTITUENT ELEMENTS BASED ON IMAGE". Computer Systems and Information Technologies 1, n.º 1 (2 de septiembre de 2020): 42–46. http://dx.doi.org/10.31891/csit-2020-1-5.
Texto completoLi Zhou, Tao Sun, Shaotao Sun y Yuanzhi Zhang. "Real-time Depth Map Prediction and Optimization Based on Adaptive Image Segmentation". International Journal of Advancements in Computing Technology 5, n.º 2 (31 de enero de 2013): 621–31. http://dx.doi.org/10.4156/ijact.vol5.issue2.77.
Texto completoWijaya, I. Made Anorn S., S. Shibusawa, A. Sasao, K. Sakai y H. Sato. "Soil Parameters Prediction with Soil Image Collected by Real-Time Soil Spectrophotometer". IFAC Proceedings Volumes 34, n.º 11 (agosto de 2001): 44–48. http://dx.doi.org/10.1016/s1474-6670(17)34103-4.
Texto completoEsteghamatian, Mehdi, Zohreh Azimifar, Perry Radau y Graham Wright. "Real time cardiac image registration during respiration: a time series prediction approach". Journal of Real-Time Image Processing 8, n.º 2 (7 de mayo de 2011): 179–91. http://dx.doi.org/10.1007/s11554-011-0202-0.
Texto completoRubel, Oleksii, Vladimir Lukin, Andrii Rubel y Karen Egiazarian. "Selection of Lee Filter Window Size Based on Despeckling Efficiency Prediction for Sentinel SAR Images". Remote Sensing 13, n.º 10 (12 de mayo de 2021): 1887. http://dx.doi.org/10.3390/rs13101887.
Texto completoWu, Wang, Rigall, Li, Zhu, He y Yan. "ECNet: Efficient Convolutional Networks for Side Scan Sonar Image Segmentation". Sensors 19, n.º 9 (29 de abril de 2019): 2009. http://dx.doi.org/10.3390/s19092009.
Texto completoChen, Chi-Chang y Chien-Hsing Huang. "USING ARTIFICIAL INTELLIGENCE TO ASSESS SOLAR RADIATION FROM THE TOTAL SKY IMAGES". International Journal of Engineering Technologies and Management Research 7, n.º 5 (3 de junio de 2020): 64–71. http://dx.doi.org/10.29121/ijetmr.v7.i5.2020.685.
Texto completoMucignat, C., L. Manickathan, J. Shah, T. Rösgen y I. Lunati. "Estimating BOS Image Deformation With A Lightweight CNN". Proceedings of the International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics 20 (11 de julio de 2022): 1–14. http://dx.doi.org/10.55037/lxlaser.20th.60.
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