Статті в журналах з теми "Deep learning architecture"
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Munir, Khushboo, Fabrizio Frezza, and Antonello Rizzi. "Deep Learning Hybrid Techniques for Brain Tumor Segmentation." Sensors 22, no. 21 (October 26, 2022): 8201. http://dx.doi.org/10.3390/s22218201.
Повний текст джерелаAlvarez-Gonzalez, Ruben, and Andres Mendez-Vazquez. "Deep Learning Architecture Reduction for fMRI Data." Brain Sciences 12, no. 2 (February 8, 2022): 235. http://dx.doi.org/10.3390/brainsci12020235.
Повний текст джерелаKumar, Bhavesh Shri, Naren J, Vithya G, and Prahathish K. "A Novel Architecture based on Deep Learning for Scene Image Recognition." International Journal of Psychosocial Rehabilitation 23, no. 1 (February 20, 2019): 400–404. http://dx.doi.org/10.37200/ijpr/v23i1/pr190251.
Повний текст джерелаHyunhee Park, Hyunhee Park. "Edge Based Lightweight Authentication Architecture Using Deep Learning for Vehicular Networks." 網際網路技術學刊 23, no. 1 (January 2022): 195–202. http://dx.doi.org/10.53106/160792642022012301020.
Повний текст джерелаHao, Xing, Guigang Zhang, and Shang Ma. "Deep Learning." International Journal of Semantic Computing 10, no. 03 (September 2016): 417–39. http://dx.doi.org/10.1142/s1793351x16500045.
Повний текст джерелаZou, Han, Jing Ge, Ruichao Liu, and Lin He. "Feature Recognition of Regional Architecture Forms Based on Machine Learning: A Case Study of Architecture Heritage in Hubei Province, China." Sustainability 15, no. 4 (February 14, 2023): 3504. http://dx.doi.org/10.3390/su15043504.
Повний текст джерелаMa, Rui, Jia-Ching Hsu, Tian Tan, Eriko Nurvitadhi, David Sheffield, Rob Pelt, Martin Langhammer, Jaewoong Sim, Aravind Dasu, and Derek Chiou. "Specializing FGPU for Persistent Deep Learning." ACM Transactions on Reconfigurable Technology and Systems 14, no. 2 (July 8, 2021): 1–23. http://dx.doi.org/10.1145/3457886.
Повний текст джерелаSewak, Mohit, Sanjay K. Sahay, and Hemant Rathore. "An Overview of Deep Learning Architecture of Deep Neural Networks and Autoencoders." Journal of Computational and Theoretical Nanoscience 17, no. 1 (January 1, 2020): 182–88. http://dx.doi.org/10.1166/jctn.2020.8648.
Повний текст джерелаHartanto, Cahyo Adhi, and Laksmita Rahadianti. "Single Image Dehazing Using Deep Learning." JOIV : International Journal on Informatics Visualization 5, no. 1 (March 22, 2021): 76. http://dx.doi.org/10.30630/joiv.5.1.431.
Повний текст джерелаGhimire, Deepak, Dayoung Kil, and Seong-heum Kim. "A Survey on Efficient Convolutional Neural Networks and Hardware Acceleration." Electronics 11, no. 6 (March 18, 2022): 945. http://dx.doi.org/10.3390/electronics11060945.
Повний текст джерелаZhong, Guoqiang, Kang Zhang, Hongxu Wei, Yuchen Zheng, and Junyu Dong. "Marginal Deep Architecture: Stacking Feature Learning Modules to Build Deep Learning Models." IEEE Access 7 (2019): 30220–33. http://dx.doi.org/10.1109/access.2019.2902631.
Повний текст джерелаSushma, Prof Ksn, Nishant Upadhyay, Ajeet Singh, Prasenjeet Kr Singh, and Tanzeelah Firdaus. "Plant Disease Detection Using Deep Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 1099–101. http://dx.doi.org/10.22214/ijraset.2022.41451.
Повний текст джерелаLattari, Francesco, Borja Gonzalez Leon, Francesco Asaro, Alessio Rucci, Claudio Prati, and Matteo Matteucci. "Deep Learning for SAR Image Despeckling." Remote Sensing 11, no. 13 (June 28, 2019): 1532. http://dx.doi.org/10.3390/rs11131532.
Повний текст джерелаChen, Xihui, Aimin Ji, and Gang Cheng. "A Novel Deep Feature Learning Method Based on the Fused-Stacked AEs for Planetary Gear Fault Diagnosis." Energies 12, no. 23 (November 27, 2019): 4522. http://dx.doi.org/10.3390/en12234522.
Повний текст джерелаSegura-Bedmar, Isabel, and Pablo Raez. "Cohort selection for clinical trials using deep learning models." Journal of the American Medical Informatics Association 26, no. 11 (September 17, 2019): 1181–88. http://dx.doi.org/10.1093/jamia/ocz139.
Повний текст джерелаKhrisat, Mohammad S., Anwar Alabadi, Saleh Khawatreh, Majed Omar Al-Dwairi, and Ziad A. Alqadi. "Autoregressive prediction analysis using machine deep learning." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 3 (September 1, 2022): 1509. http://dx.doi.org/10.11591/ijeecs.v27.i3.pp1509-1516.
Повний текст джерелаAlsaadi, Zaran, Easa Alshamani, Mohammed Alrehaili, Abdulmajeed Ayesh D. Alrashdi, Saleh Albelwi, and Abdelrahman Osman Elfaki. "A Real Time Arabic Sign Language Alphabets (ArSLA) Recognition Model Using Deep Learning Architecture." Computers 11, no. 5 (May 10, 2022): 78. http://dx.doi.org/10.3390/computers11050078.
Повний текст джерелаAbtahi, Mansour, David Le, Jennifer I. Lim, and Xincheng Yao. "MF-AV-Net: an open-source deep learning network with multimodal fusion options for artery-vein segmentation in OCT angiography." Biomedical Optics Express 13, no. 9 (August 22, 2022): 4870. http://dx.doi.org/10.1364/boe.468483.
Повний текст джерелаPachón, César G., Dora M. Ballesteros, and Diego Renza. "Fake Banknote Recognition Using Deep Learning." Applied Sciences 11, no. 3 (January 30, 2021): 1281. http://dx.doi.org/10.3390/app11031281.
Повний текст джерелаCheng, Anda, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, and Jian Cheng. "DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 6 (June 28, 2022): 6358–66. http://dx.doi.org/10.1609/aaai.v36i6.20586.
Повний текст джерелаPollok, Stefan, and Rasmus Bjørk. "Deep learning for magnetism." Europhysics News 53, no. 2 (2022): 18–21. http://dx.doi.org/10.1051/epn/2022204.
Повний текст джерелаBelhaouari, Samir Brahim, and Hafsa Raissouli. "MADL: A Multilevel Architecture of Deep Learning." International Journal of Computational Intelligence Systems 14, no. 1 (2021): 693. http://dx.doi.org/10.2991/ijcis.d.201216.003.
Повний текст джерелаLee, Soo-Hwan, Jong-Chan Kim, and Dong-Hoan Seo. "Image reconstruction technique using deep learning architecture." Journal of the Korean Society of Marine Engineering 42, no. 2 (February 28, 2018): 121–26. http://dx.doi.org/10.5916/jkosme.2018.42.2.121.
Повний текст джерелаAyad, Hayder, Ikhlas Watan Ghindawi, and Mustafa Salam Kadhm. "Lung Segmentation Using Proposed Deep Learning Architecture." International Journal of Online and Biomedical Engineering (iJOE) 16, no. 15 (December 15, 2020): 141. http://dx.doi.org/10.3991/ijoe.v16i15.17115.
Повний текст джерелаChen, Xi-liang, Lei Cao, Chen-xi Li, Zhi-xiong Xu, and Jun Lai. "Ensemble Network Architecture for Deep Reinforcement Learning." Mathematical Problems in Engineering 2018 (2018): 1–6. http://dx.doi.org/10.1155/2018/2129393.
Повний текст джерелаVerma, Arnav, Devesh Samaiya, and Karunesh K. Gupta. "Nonlinear Motion Tracking by Deep Learning Architecture." IOP Conference Series: Materials Science and Engineering 331 (March 2018): 012020. http://dx.doi.org/10.1088/1757-899x/331/1/012020.
Повний текст джерелаPon Kumar, Steven Spielberg, Aditya Tulsyan, Bhushan Gopaluni, and Philip Loewen. "A Deep Learning Architecture for Predictive Control." IFAC-PapersOnLine 51, no. 18 (2018): 512–17. http://dx.doi.org/10.1016/j.ifacol.2018.09.373.
Повний текст джерелаLi, Xiang, Ling Peng, Yuan Hu, Jing Shao, and Tianhe Chi. "Deep learning architecture for air quality predictions." Environmental Science and Pollution Research 23, no. 22 (October 13, 2016): 22408–17. http://dx.doi.org/10.1007/s11356-016-7812-9.
Повний текст джерелаSiłka, Wojciech, Michał Wieczorek, Jakub Siłka, and Marcin Woźniak. "Malaria Detection Using Advanced Deep Learning Architecture." Sensors 23, no. 3 (January 29, 2023): 1501. http://dx.doi.org/10.3390/s23031501.
Повний текст джерелаP, Shanmugavadivu, Mary Shanthi Rani M, Chitra P, Lakshmanan S, Nagaraja P, and Vignesh U. "Bio-Optimization of Deep Learning Network Architectures." Security and Communication Networks 2022 (September 20, 2022): 1–11. http://dx.doi.org/10.1155/2022/3718340.
Повний текст джерелаKarypidis, Efstathios, Stylianos G. Mouslech, Kassiani Skoulariki, and Alexandros Gazis. "Comparison Analysis of Traditional Machine Learning and Deep Learning Techniques for Data and Image Classification." WSEAS TRANSACTIONS ON MATHEMATICS 21 (March 23, 2022): 122–30. http://dx.doi.org/10.37394/23206.2022.21.19.
Повний текст джерелаVelankar, Makarand, Sneha Thombre, and Harshad Wadkar. "EVALUATING DEEP LEARNING MODELS FOR MUSIC EMOTION RECOGNITION." International Journal of Engineering Applied Sciences and Technology 7, no. 6 (October 1, 2022): 252–59. http://dx.doi.org/10.33564/ijeast.2022.v07i06.026.
Повний текст джерелаBillah, Umme Hafsa, Hung Manh La, and Alireza Tavakkoli. "Deep Learning-Based Feature Silencing for Accurate Concrete Crack Detection." Sensors 20, no. 16 (August 7, 2020): 4403. http://dx.doi.org/10.3390/s20164403.
Повний текст джерелаJavaid, Sameena, Safdar Rizvi, Muhammad Talha Ubaid, Abdou Darboe, and Shakir Mahmood Mayo. "Interpretation of Expressions through Hand Signs Using Deep Learning Techniques." Vol 4 Issue 2 4, no. 2 (June 25, 2022): 596–611. http://dx.doi.org/10.33411/ijist/2022040225.
Повний текст джерелаAkbani, Sufiyan Salim, Adeeba Naaz, Nazish Kausar, and Prof Abdul Razzaque. "Brain Tumor Detection Using Deep Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 573–77. http://dx.doi.org/10.22214/ijraset.2022.41321.
Повний текст джерелаFarhi, Lubna, Saadia Mansoor Kazmi, Hassan Imam, Mejdal Alqahtani, and Farhan Ur Rehman. "Dermoscopic Image Classification Using Deep Belief Learning Network Architecture." Wireless Communications and Mobile Computing 2022 (May 25, 2022): 1–13. http://dx.doi.org/10.1155/2022/2415726.
Повний текст джерелаDefresne, Marianne, Sophie Barbe, and Thomas Schiex. "Protein Design with Deep Learning." International Journal of Molecular Sciences 22, no. 21 (October 29, 2021): 11741. http://dx.doi.org/10.3390/ijms222111741.
Повний текст джерелаFielding, Ben, and Li Zhang. "Evolving Deep DenseBlock Architecture Ensembles for Image Classification." Electronics 9, no. 11 (November 9, 2020): 1880. http://dx.doi.org/10.3390/electronics9111880.
Повний текст джерелаSen, Gabriel, Albert Adeboye, and Oluwole Alagbe. "The Influence of Architecture Students’ Learning Approaches on their Academic Performance in Two Nigeria Universities." International Journal of Learning, Teaching and Educational Research 20, no. 2 (February 28, 2021): 137–51. http://dx.doi.org/10.26803/ijlter.20.2.8.
Повний текст джерелаRuder, Sebastian, Joachim Bingel, Isabelle Augenstein, and Anders Søgaard. "Latent Multi-Task Architecture Learning." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 4822–29. http://dx.doi.org/10.1609/aaai.v33i01.33014822.
Повний текст джерелаHernandez-Leal, Pablo, Bilal Kartal, and Matthew E. Taylor. "Agent Modeling as Auxiliary Task for Deep Reinforcement Learning." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 15, no. 1 (October 8, 2019): 31–37. http://dx.doi.org/10.1609/aiide.v15i1.5221.
Повний текст джерелаAhamad, Afaroj, Chi-Chia Sun, and Wen-Kai Kuo. "Quantized Semantic Segmentation Deep Architecture for Deployment on an Edge Computing Device for Image Segmentation." Electronics 11, no. 21 (October 31, 2022): 3561. http://dx.doi.org/10.3390/electronics11213561.
Повний текст джерелаNguyen, Chi Cuong, Giang Son Tran, Thi Phuong Nghiem, Jean-Christophe Burie, and Chi Mai Luong. "Real-Time Smile Detection using Deep Learning." Journal of Computer Science and Cybernetics 35, no. 2 (June 3, 2019): 135–45. http://dx.doi.org/10.15625/1813-9663/35/2/13315.
Повний текст джерелаLiu, Xiaobo, Chaochao Zhang, Zhihua Cai, Jianfeng Yang, Zhilang Zhou, and Xin Gong. "Continuous Particle Swarm Optimization-Based Deep Learning Architecture Search for Hyperspectral Image Classification." Remote Sensing 13, no. 6 (March 12, 2021): 1082. http://dx.doi.org/10.3390/rs13061082.
Повний текст джерелаNistor, Sergiu Cosmin, Tudor Alexandru Ileni, and Adrian Sergiu Dărăbant. "Automatic Development of Deep Learning Architectures for Image Segmentation." Sustainability 12, no. 22 (November 20, 2020): 9707. http://dx.doi.org/10.3390/su12229707.
Повний текст джерелаRathnam, S. Muni, and G. Siva Koteswara Rao. "A Novel Deep Learning Architecture for Image Hiding." WSEAS TRANSACTIONS ON SIGNAL PROCESSING 16 (February 26, 2021): 206–10. http://dx.doi.org/10.37394/232014.2020.16.23.
Повний текст джерелаBobadilla, Jesus, Santiago Alonso, and Antonio Hernando. "Deep Learning Architecture for Collaborative Filtering Recommender Systems." Applied Sciences 10, no. 7 (April 3, 2020): 2441. http://dx.doi.org/10.3390/app10072441.
Повний текст джерелаSun, Maoran, Fan Zhang, Fabio Duarte, and Carlo Ratti. "Understanding architecture age and style through deep learning." Cities 128 (September 2022): 103787. http://dx.doi.org/10.1016/j.cities.2022.103787.
Повний текст джерелаChakravarthy, Arnav. "HYBRID ARCHITECTURE FOR SENTIMENT ANALYSIS USING DEEP LEARNING." International Journal of Advanced Research in Computer Science 9, no. 1 (February 20, 2018): 735–38. http://dx.doi.org/10.26483/ijarcs.v9i1.5388.
Повний текст джерелаBui, Trong-An, Pei-Jun Lee, Kai-Yew Lum, Clarissa Loh, and Kyo Tan. "Deep Learning for Landslide Recognition in Satellite Architecture." IEEE Access 8 (2020): 143665–78. http://dx.doi.org/10.1109/access.2020.3014305.
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