Статті в журналах з теми "CNN MODELS"
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Mohammed, Mohammed Ameen, Zheng Han, and Yange Li. "Exploring the Detection Accuracy of Concrete Cracks Using Various CNN Models." Advances in Materials Science and Engineering 2021 (September 9, 2021): 1–11. http://dx.doi.org/10.1155/2021/9923704.
Повний текст джерелаHassan, Esraa, Nora El-Rashidy, and fatma M. Talaa. "Review: Mask R-CNN Models." Nile Journal of Communication and Computer Science 3, no. 1 (May 1, 2022): 17–27. http://dx.doi.org/10.21608/njccs.2022.280047.
Повний текст джерелаITOH, MAKOTO, and LEON O. CHUA. "EQUIVALENT CNN CELL MODELS AND PATTERNS." International Journal of Bifurcation and Chaos 13, no. 05 (May 2003): 1055–161. http://dx.doi.org/10.1142/s0218127403007151.
Повний текст джерелаSuresh, Neha, and Dr AnandiGiridharan Dr.AnandiGiridharan. "Predicting Groundnut Disease using CNN Models." Journal of University of Shanghai for Science and Technology 23, no. 06 (June 18, 2021): 756–66. http://dx.doi.org/10.51201/jusst/21/05335.
Повний текст джерелаJing, Juntong. "Denoising Adversarial Examples Using CNN Models." Journal of Physics: Conference Series 2181, no. 1 (January 1, 2022): 012029. http://dx.doi.org/10.1088/1742-6596/2181/1/012029.
Повний текст джерелаWang, Keyi. "Static and Dynamic Hand Gesture Recognition Using CNN Models." International Journal of Bioscience, Biochemistry and Bioinformatics 11, no. 3 (2021): 65–73. http://dx.doi.org/10.17706/ijbbb.2021.11.3.65-73.
Повний текст джерелаZhan, Zhiwei, Guoliang Liao, Xiang Ren, Guangsi Xiong, Weilin Zhou, Wenchao Jiang, and Hong Xiao. "RA-CNN." International Journal of Software Science and Computational Intelligence 14, no. 1 (January 1, 2022): 1–14. http://dx.doi.org/10.4018/ijssci.311446.
Повний текст джерелаGÁL, V., J. HÁMORI, T. ROSKA, D. BÁLYA, ZS BOROSTYÁNKŐI, M. BRENDEL, K. LOTZ, et al. "RECEPTIVE FIELD ATLAS AND RELATED CNN MODELS." International Journal of Bifurcation and Chaos 14, no. 02 (February 2004): 551–84. http://dx.doi.org/10.1142/s0218127404009545.
Повний текст джерелаAlofi, Najla, Wafa Alonezi, and Wedad Alawad. "WBC-CNN: Efficient CNN-Based Models to Classify White Blood Cells Subtypes." International Journal of Online and Biomedical Engineering (iJOE) 17, no. 13 (December 6, 2021): 135–50. http://dx.doi.org/10.3991/ijoe.v17i13.27373.
Повний текст джерелаNoh, Seol-Hyun. "Gradient Flow Analysis and Performance Comparison of CNN Models." Journal of KIISE 48, no. 1 (January 31, 2021): 100–106. http://dx.doi.org/10.5626/jok.2021.48.1.100.
Повний текст джерелаHuang, Yefei, Tianlai Xu, Zexu Zhang, Hutao Cui, and Yu Su. "Satellite Segmentation with Pre-trained CNN Models." Journal of Physics: Conference Series 2171, no. 1 (January 1, 2022): 012003. http://dx.doi.org/10.1088/1742-6596/2171/1/012003.
Повний текст джерелаKim, Gun Il, and Beakcheol Jang. "Petroleum Price Prediction with CNN-LSTM and CNN-GRU Using Skip-Connection." Mathematics 11, no. 3 (January 19, 2023): 547. http://dx.doi.org/10.3390/math11030547.
Повний текст джерелаİni̇k, Özkan, Mustafa Altıok, Erkan Ülker, and Barış Koçer. "MODE-CNN: A fast converging multi-objective optimization algorithm for CNN-based models." Applied Soft Computing 109 (September 2021): 107582. http://dx.doi.org/10.1016/j.asoc.2021.107582.
Повний текст джерелаSong, Hyunsun, and Hyunjun Choi. "Forecasting Stock Market Indices Using the Recurrent Neural Network Based Hybrid Models: CNN-LSTM, GRU-CNN, and Ensemble Models." Applied Sciences 13, no. 7 (April 6, 2023): 4644. http://dx.doi.org/10.3390/app13074644.
Повний текст джерелаPatil, Priyadarshini, Vipul Deshpande, Vishal Malge, and Abhishek Bevinmanchi. "Fake Face Detection Using CNN." International Journal for Research in Applied Science and Engineering Technology 10, no. 9 (September 30, 2022): 519–22. http://dx.doi.org/10.22214/ijraset.2022.45829.
Повний текст джерелаDhokane, Mr Rahul. "CAR DAMAGE DETECTION USING CNN." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (April 12, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem30508.
Повний текст джерелаElzayady, Hossam, Khaled M. Badran, and Gouda I. Salama. "Arabic Opinion Mining Using Combined CNN - LSTM Models." International Journal of Intelligent Systems and Applications 12, no. 4 (August 8, 2020): 25–36. http://dx.doi.org/10.5815/ijisa.2020.04.03.
Повний текст джерелаBerwo, Michael Abebe, Zhipeng Wang, Yong Fang, Jabar Mahmood, and Nan Yang. "Off-road Quad-Bike Detection Using CNN Models." Journal of Physics: Conference Series 2356, no. 1 (October 1, 2022): 012026. http://dx.doi.org/10.1088/1742-6596/2356/1/012026.
Повний текст джерелаChen, Nuo, Boyu Han, Zhixin Li, and Haotian Wang. "Breast Cancer Prediction Based on the CNN Models." Highlights in Science, Engineering and Technology 34 (February 28, 2023): 103–9. http://dx.doi.org/10.54097/hset.v34i.5388.
Повний текст джерелаD, Ms Suseela, Varsha S, Bharaneedharan C, and Lekshana Shivani C. "CLASSIFICATION OF FRESH AND ROTTEN FRUITS USING DIFFERENT CNN MODELS." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 10 (October 1, 2023): 1–11. http://dx.doi.org/10.55041/ijsrem26057.
Повний текст джерелаGao, Xue-Yao, Bo-Yu Yang, and Chun-Xiang Zhang. "Combine EfficientNet and CNN for 3D model classification." Mathematical Biosciences and Engineering 20, no. 5 (2023): 9062–79. http://dx.doi.org/10.3934/mbe.2023398.
Повний текст джерелаJain, Tanmay, Harshada Mhaske, Sanjay Chilveri, Aniket Chaudhar, and Chinmay Doshi. "Cloudy Weather Prediction Using CNN Models and Satellite Images." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (April 30, 2024): 1168–75. http://dx.doi.org/10.22214/ijraset.2024.59342.
Повний текст джерелаGunasekaran, Hemalatha, K. Ramalakshmi, A. Rex Macedo Arokiaraj, S. Deepa Kanmani, Chandran Venkatesan, and C. Suresh Gnana Dhas. "Analysis of DNA Sequence Classification Using CNN and Hybrid Models." Computational and Mathematical Methods in Medicine 2021 (July 15, 2021): 1–12. http://dx.doi.org/10.1155/2021/1835056.
Повний текст джерелаAlshirbaji, Tamer Abdulbaki, Nour Aldeen Jalal, Paul D. Docherty, Thomas Neumuth, and Knut Moeller. "Assessing Generalisation Capabilities of CNN Models for Surgical Tool Classification." Current Directions in Biomedical Engineering 7, no. 2 (October 1, 2021): 476–79. http://dx.doi.org/10.1515/cdbme-2021-2121.
Повний текст джерелаKim, Junyoung, Jongho Jeon, Minkwan Kee, and Gi-Ho Park. "The Method Using Reduced Classification Models for Distributed Processing of CNN Models in Multiple Edge Devices." Journal of KIISE 47, no. 8 (August 31, 2020): 787–92. http://dx.doi.org/10.5626/jok.2020.47.8.787.
Повний текст джерелаHa, Yeongseo, Jihee Park, and Jaechang Shim. "Comparison of Face Recognition Performance Using CNN Models and Siamese Networks." Journal of Korea Multimedia Society 26, no. 2 (February 28, 2023): 413–19. http://dx.doi.org/10.9717/kmms.2023.26.2.413.
Повний текст джерелаGILLI, M., T. ROSKA, L. O. CHUA, and P. P. CIVALLERI. "CNN DYNAMICS REPRESENTS A BROADER CLASS THAN PDEs." International Journal of Bifurcation and Chaos 12, no. 10 (October 2002): 2051–68. http://dx.doi.org/10.1142/s0218127402005868.
Повний текст джерелаSahel, S., M. Alsahafi, M. Alghamdi, and T. Alsubait. "Logo Detection Using Deep Learning with Pretrained CNN Models." Engineering, Technology & Applied Science Research 11, no. 1 (February 6, 2021): 6724–29. http://dx.doi.org/10.48084/etasr.3919.
Повний текст джерелаNour, Nahla, Mohammed Elhebir, and Serestina Viriri. "Face Expression Recognition using Convolution Neural Network (CNN) Models." International Journal of Grid Computing & Applications 11, no. 4 (December 30, 2020): 1–11. http://dx.doi.org/10.5121/ijgca.2020.11401.
Повний текст джерелаWibawa, Febrianti, Ferhat Ozgur Catak, Salih Sarp, and Murat Kuzlu. "BFV-Based Homomorphic Encryption for Privacy-Preserving CNN Models." Cryptography 6, no. 3 (July 1, 2022): 34. http://dx.doi.org/10.3390/cryptography6030034.
Повний текст джерелаChen, Zhaohe, Ming Tang, and Jinghai Li. "Inversion Attacks against CNN Models Based on Timing Attack." Security and Communication Networks 2022 (February 26, 2022): 1–11. http://dx.doi.org/10.1155/2022/6285909.
Повний текст джерелаDai, Rong. "Text Data Mining Algorithm Combining CNN and DBM Models." Mobile Information Systems 2021 (November 20, 2021): 1–7. http://dx.doi.org/10.1155/2021/2150488.
Повний текст джерелаNoh, Seol-Hyun. "Performance Comparison of CNN Models Using Gradient Flow Analysis." Informatics 8, no. 3 (August 13, 2021): 53. http://dx.doi.org/10.3390/informatics8030053.
Повний текст джерелаMounika, Siripurapu. "Crypto-Currency Price Prediction using CNN and LSTM Models." International Journal for Research in Applied Science and Engineering Technology 9, no. 3 (March 31, 2021): 107–14. http://dx.doi.org/10.22214/ijraset.2021.33191.
Повний текст джерелаSaravagi, Deepika, Shweta Agrawal, Manisha Saravagi, Jyotir Moy Chatterjee, and Mohit Agarwal. "Diagnosis of Lumbar Spondylolisthesis Using Optimized Pretrained CNN Models." Computational Intelligence and Neuroscience 2022 (April 13, 2022): 1–12. http://dx.doi.org/10.1155/2022/7459260.
Повний текст джерелаHong, Min, Beanbonyka Rim, Hongchang Lee, Hyeonung Jang, Joonho Oh, and Seongjun Choi. "Multi-Class Classification of Lung Diseases Using CNN Models." Applied Sciences 11, no. 19 (October 6, 2021): 9289. http://dx.doi.org/10.3390/app11199289.
Повний текст джерелаZarandy, A., L. Orzo, E. Grawes, and F. Werblin. "CNN-based models for color vision and visual illusions." IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications 46, no. 2 (1999): 229–38. http://dx.doi.org/10.1109/81.747190.
Повний текст джерелаKamarudin, MH, and Zool H. Ismail. "Lightweight deep CNN models for identifying drought stressed plant." IOP Conference Series: Earth and Environmental Science 1091, no. 1 (November 1, 2022): 012043. http://dx.doi.org/10.1088/1755-1315/1091/1/012043.
Повний текст джерелаCorinto, F., M. Biey, and M. Gilli. "Non-linear coupled CNN models for multiscale image analysis." International Journal of Circuit Theory and Applications 34, no. 1 (January 2006): 77–88. http://dx.doi.org/10.1002/cta.343.
Повний текст джерелаP P, Aswathi Mohan, and Uma V. "Fetal Hypoxia Detection using CTG Signals and CNN Models." International Research Journal on Advanced Science Hub 5, Issue 05S (May 28, 2023): 434–41. http://dx.doi.org/10.47392/irjash.2023.s059.
Повний текст джерелаDavuluri, Ragavamsi, Vyshnavi Mallapragada, Uma Maheswara Rao Mamillapalli, Manikanta M, and Sireesha Peeka. "Alzheimer’s Disease Diagnosis Using CNN Based Pre-trained Models." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 4 (May 4, 2023): 315–23. http://dx.doi.org/10.17762/ijritcc.v11i4.6456.
Повний текст джерелаAjay M. Pol, Et al. "Enhancing Sign Language Recognition through Fusion of CNN Models." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 10 (November 2, 2023): 902–10. http://dx.doi.org/10.17762/ijritcc.v11i10.8608.
Повний текст джерелаRawal, Purvi. "Skin Cancer Diagnosis: Integrating CNN and Machine Learning Models." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (March 18, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem29407.
Повний текст джерелаMakhir, Abdelmalek, My Hachem El Yousfi Alaoui, and Larbi Belarbi. "Comprehensive Cardiac Ischemia Classification Using Hybrid CNN-Based Models." International Journal of Online and Biomedical Engineering (iJOE) 20, no. 03 (February 27, 2024): 154–65. http://dx.doi.org/10.3991/ijoe.v20i03.45769.
Повний текст джерелаChai, Chee Chiet, Wee How Khoh, Ying Han Pang, and Hui Yen Yap. "A Lung Cancer Detection with Pre-Trained CNN Models." Journal of Informatics and Web Engineering 3, no. 1 (February 14, 2024): 41–54. http://dx.doi.org/10.33093/jiwe.2024.3.1.3.
Повний текст джерелаJeon, Ho-Kun, Seungryong Kim, Jonathan Edwin, and Chan-Su Yang. "Sea Fog Identification from GOCI Images Using CNN Transfer Learning Models." Electronics 9, no. 2 (February 11, 2020): 311. http://dx.doi.org/10.3390/electronics9020311.
Повний текст джерелаYue, Wang, and Li Lei. "Sentiment Analysis using a CNN-BiLSTM Deep Model Based on Attention Classification." Information 26, no. 3 (September 15, 2023): 117–62. http://dx.doi.org/10.47880/inf2603-02.
Повний текст джерелаRhanoui, Maryem, Mounia Mikram, Siham Yousfi, and Soukaina Barzali. "A CNN-BiLSTM Model for Document-Level Sentiment Analysis." Machine Learning and Knowledge Extraction 1, no. 3 (July 25, 2019): 832–47. http://dx.doi.org/10.3390/make1030048.
Повний текст джерелаHaviluddin, Haviluddin, and Rayner Alfred. "Multi-step CNN forecasting for COVID-19 multivariate time-series." International Journal of Advances in Intelligent Informatics 9, no. 2 (July 1, 2023): 176. http://dx.doi.org/10.26555/ijain.v9i2.1080.
Повний текст джерелаZheng, Tong, Jin Li, Hao Tian, and Qing Wu. "The Process Analysis Method of SAR Target Recognition in Pre-Trained CNN Models." Sensors 23, no. 14 (July 17, 2023): 6461. http://dx.doi.org/10.3390/s23146461.
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