Journal articles on the topic 'Deep learning based'
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Jaiswal, Tarun, and Sushma Jaiswal. "Deep Learning Based Pain Treatment." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (June 30, 2019): 193–211. http://dx.doi.org/10.31142/ijtsrd23639.
Full textJiang, Zhengfen, Boyi Li, Tho N. H. T. Tran, Jiehui Jiang, Xin Liu, and Dean Ta. "Fluo-Fluo translation based on deep learning." Chinese Optics Letters 20, no. 3 (2022): 031701. http://dx.doi.org/10.3788/col202220.031701.
Full textDaehyeon Bae, Daehyeon Bae, Jongbae Hwang Daehyeon Bae, and Jaecheol Ha Jongbae Hwang. "Deep Learning-based Attacks on Masked AES Implementation." 網際網路技術學刊 23, no. 4 (July 2022): 897–902. http://dx.doi.org/10.53106/160792642022072304024.
Full textAL-Oudat, Mohammad, Mohammad Azzeh, Hazem Qattous, Ahmad Altamimi, and Saleh Alomari. "Image Segmentation based Deep Learning for Biliary Tree Diagnosis." Webology 19, no. 1 (January 20, 2022): 1834–49. http://dx.doi.org/10.14704/web/v19i1/web19123.
Full textWang, Weihao, Xing Zhao, Zhixiang Jiang, and Ya Wen. "Deep learning-based scattering removal of light field imaging." Chinese Optics Letters 20, no. 4 (2022): 041101. http://dx.doi.org/10.3788/col202220.041101.
Full textJimmington, Anjana. "A Baseline Based Deep Learning Approach of Live Tweets." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (June 30, 2019): 829–33. http://dx.doi.org/10.31142/ijtsrd23918.
Full textDebnath, Tanmoy, and Suvvari Sai Dileep. "A Deep-Learning based Approach for Automatic Lyric Generation." International Journal of Science and Research (IJSR) 11, no. 11 (November 5, 2022): 382–86. http://dx.doi.org/10.21275/sr221104005352.
Full textGadri, Said. "Efficient Arabic Handwritten Character Recognition based on Machine Learning and Deep Learning Approaches." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (July 25, 2020): 9–17. http://dx.doi.org/10.5373/jardcs/v12sp7/20202076.
Full textLiu, Qingzhong, Zhaoxian Zhou, Sarbagya Ratna Shakya, Prathyusha Uduthalapally, Mengyu Qiao, and Andrew H. Sung. "Smartphone Sensor-Based Activity Recognition by Using Machine Learning and Deep Learning Algorithms." International Journal of Machine Learning and Computing 8, no. 2 (April 2018): 121–26. http://dx.doi.org/10.18178/ijmlc.2018.8.2.674.
Full textPan, Wei, Jide Li, and Xiaoqiang Li. "Portfolio Learning Based on Deep Learning." Future Internet 12, no. 11 (November 18, 2020): 202. http://dx.doi.org/10.3390/fi12110202.
Full textZhu, Miaomiao, Shengrong Gong, Zhenjiang Qian, Seiichi Serikawa, and Lifeng Zhang. "Person Re-identification on Mobile Devices Based on Deep Learning." Journal of the Institute of Industrial Applications Engineers 9, no. 1 (January 25, 2021): 26–32. http://dx.doi.org/10.12792/jiiae.9.26.
Full textPing Zhang, Ping Zhang, Xuchong Liu Ping Zhang, Wenjun Li Xuchong Liu, and Xiaofeng Yu Wenjun Li. "Pharmaceutical Cold Chain Management Based on Blockchain and Deep Learning." 網際網路技術學刊 22, no. 7 (December 2021): 1531–42. http://dx.doi.org/10.53106/160792642021122207007.
Full textSen, Bandita, and V. Vedanarayanan. "Efficient Classification of Breast Lesion based on Deep Learning Technique." Bonfring International Journal of Advances in Image Processing 6, no. 1 (February 29, 2016): 01–06. http://dx.doi.org/10.9756/bijaip.10446.
Full textWu, Chong. "A Credit Risk Predicting Hybrid Model Based on Deep Learning Technology." International Journal of Machine Learning and Computing 11, no. 3 (May 2021): 182–87. http://dx.doi.org/10.18178/ijmlc.2021.11.3.1033.
Full textK., Yogeswara Rao. "Deep Learning-based Aspect-Level Sentiment Analysis of User-Generated Content." Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (March 31, 2020): 1457–65. http://dx.doi.org/10.5373/jardcs/v12sp4/20201624.
Full textKumar, 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.
Full textArsa, Dewa Made Sri, Jonghoon Lee, OkJae Won, and Hyongsuk Kim. "Deep Learning for Weeds’ Growth Point Detection based on U-Net." Korean Institute of Smart Media 11, no. 7 (August 31, 2022): 94–103. http://dx.doi.org/10.30693/smj.2022.11.7.94.
Full textHyunhee 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.
Full textSrinivas, Dr Kalyanapu, and Reddy Dr.B.R.S. "Deep Learning based CNN Optimization Model for MR Braing Image Segmentation." Journal of Advanced Research in Dynamical and Control Systems 11, no. 11 (November 20, 2019): 213–20. http://dx.doi.org/10.5373/jardcs/v11i11/20193190.
Full textMinaee, Shervin, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, and Jianfeng Gao. "Deep Learning--based Text Classification." ACM Computing Surveys 54, no. 3 (June 2021): 1–40. http://dx.doi.org/10.1145/3439726.
Full textVivekanand, Bade Ashwini, and Suresh Kumar M. "Deep Learning Based Tomato PLDD." International Journal of Engineering Trends and Technology 70, no. 7 (July 31, 2022): 414–21. http://dx.doi.org/10.14445/22315381/ijett-v70i7p243.
Full textChen, Yuwei, and Jianyu He. "Deep Learning-Based Emotion Detection." Journal of Computer and Communications 10, no. 02 (2022): 57–71. http://dx.doi.org/10.4236/jcc.2022.102005.
Full textKumar, Saurabh. "Deep learning based affective computing." Journal of Enterprise Information Management 34, no. 5 (October 18, 2021): 1551–75. http://dx.doi.org/10.1108/jeim-12-2020-0536.
Full textSeo, Myoungchan, YoungJin Suh, and Kyuman Jeong. "Deep Learning-based Video Summarization." International Journal on Advanced Science, Engineering and Information Technology 11, no. 6 (December 12, 2021): 2488. http://dx.doi.org/10.18517/ijaseit.11.6.12888.
Full textMohammadkarimi, Mostafa, Mehrtash Mehrabi, Masoud Ardakani, and Yindi Jing. "Deep Learning-Based Sphere Decoding." IEEE Transactions on Wireless Communications 18, no. 9 (September 2019): 4368–78. http://dx.doi.org/10.1109/twc.2019.2924220.
Full textSoltani, Mehran, Vahid Pourahmadi, Ali Mirzaei, and Hamid Sheikhzadeh. "Deep Learning-Based Channel Estimation." IEEE Communications Letters 23, no. 4 (April 2019): 652–55. http://dx.doi.org/10.1109/lcomm.2019.2898944.
Full textZhang, Wei, Ting Yao, Shiai Zhu, and Abdulmotaleb El Saddik. "Deep Learning–Based Multimedia Analytics." ACM Transactions on Multimedia Computing, Communications, and Applications 15, no. 1s (February 23, 2019): 1–26. http://dx.doi.org/10.1145/3279952.
Full textKishida, Masako, Masaki Ogura, Yuichi Yoshida, and Tadashi Wadayama. "Deep Learning-Based Average Consensus." IEEE Access 8 (2020): 142404–12. http://dx.doi.org/10.1109/access.2020.3014148.
Full textYang, Zhenwei, and Xiangdong Zhang. "Entanglement-based quantum deep learning." New Journal of Physics 22, no. 3 (March 25, 2020): 033041. http://dx.doi.org/10.1088/1367-2630/ab7598.
Full textFan, Jicong, and Tommy Chow. "Deep learning based matrix completion." Neurocomputing 266 (November 2017): 540–49. http://dx.doi.org/10.1016/j.neucom.2017.05.074.
Full textLiu, Dong, Yue Li, Jianping Lin, Houqiang Li, and Feng Wu. "Deep Learning-Based Video Coding." ACM Computing Surveys 53, no. 1 (May 29, 2020): 1–35. http://dx.doi.org/10.1145/3368405.
Full textZhang, Shuai, Lina Yao, Aixin Sun, and Yi Tay. "Deep Learning Based Recommender System." ACM Computing Surveys 52, no. 1 (February 28, 2019): 1–38. http://dx.doi.org/10.1145/3285029.
Full textMoshovos, Andreas, Jorge Albericio, Patrick Judd, Alberto Delmas Lascorz, Sayeh Sharify, Tayler Hetherington, Tor Aamodt, and Natalie Enright Jerger. "Value-Based Deep-Learning Acceleration." IEEE Micro 38, no. 1 (January 2018): 41–55. http://dx.doi.org/10.1109/mm.2018.112130309.
Full textGoi, Hiroaki, Koshi Komuro, and Takanori Nomura. "Deep-learning-based binary hologram." Applied Optics 59, no. 23 (August 10, 2020): 7103. http://dx.doi.org/10.1364/ao.393500.
Full textCheon, Woohyun, and Kihyo Jung. "Development of Vector-based and Deep Learning-based OWAS Assessment Systems for Assessing Working Postures." Journal of the Ergonomics Society of Korea 40, no. 2 (April 30, 2021): 75–87. http://dx.doi.org/10.5143/jesk.2021.40.2.75.
Full textSivasankaran, Deepika, Sai Seena P, Rajesh R, and Madheswari Kanmani. "Sketch Based Image Retrieval using Deep Learning Based Machine Learning." International Journal of Engineering and Advanced Technology 10, no. 5 (June 30, 2021): 79–86. http://dx.doi.org/10.35940/ijeat.e2622.0610521.
Full textZhou, Jie, Feng Ran, Guang Li, Jun Peng, Kun Li, and Zheng Wang. "Classroom Learning Status Assessment Based on Deep Learning." Mathematical Problems in Engineering 2022 (April 16, 2022): 1–9. http://dx.doi.org/10.1155/2022/7049458.
Full textLi, Ying, Jianglei Di, Li Ren, and Jianlin Zhao. "Deep-learning-based prediction of living cells mitosis via quantitative phase microscopy." Chinese Optics Letters 19, no. 5 (2021): 051701. http://dx.doi.org/10.3788/col202119.051701.
Full textChih-Ta Yen, Chih-Ta Yen, and 陳冠宇 Chih-Ta Yen. "A Deep Learning-Based Person Search System for Real-World Camera Images." 網際網路技術學刊 23, no. 4 (July 2022): 839–51. http://dx.doi.org/10.53106/160792642022072304018.
Full textQiang Chen, Qiang Chen, and Linzhou Li Qiang Chen. "A Deep Learning Based Equalization Scheme for Bandwidthcompressed Non-orthogonal Multicarrier Communication." 網際網路技術學刊 22, no. 5 (September 2021): 999–1007. http://dx.doi.org/10.53106/160792642021092205006.
Full textKanagala, Hari Krishna, and Dr V. V. Jayarama Krishnaiah. "Enhanced Mechanism for Classification of Glaucoma Images Using Deep Learning based CNN." Journal of Advanced Research in Dynamical and Control Systems 11, no. 10 (October 31, 2019): 111–18. http://dx.doi.org/10.5373/jardcs/v11i10/20193013.
Full textLin, Tianying, Ang Liu, Xiaopei Zhang, He Li, Liping Wang, Hailong Han, Ze Chen, Xiaoping Liu, and Haibin Lü. "Analyzing OAM mode purity in optical fibers with CNN-based deep learning." Chinese Optics Letters 17, no. 10 (2019): 100603. http://dx.doi.org/10.3788/col201917.100603.
Full textMinghai Yuan, Minghai Yuan, Chenxi Zhang Minghai Yuan, Kaiwen Zhou Chenxi Zhang, and Fengque Pei Kaiwen Zhou. "Real-time Allocation of Shared Parking Spaces Based on Deep Reinforcement Learning." 網際網路技術學刊 24, no. 1 (January 2023): 035–43. http://dx.doi.org/10.53106/160792642023012401004.
Full textS., Kayalvizhi, Kasthuri Bha J.K., and Ferents Koni Jiavana K. "Deep Learning based Micro Organism Recognition and Disease Prediction on Plants and Animals." NeuroQuantology 20, no. 5 (May 18, 2022): 741–46. http://dx.doi.org/10.14704/nq.2022.20.5.nq22231.
Full textJeya, I. Jasmine Selvakumari, Dinesh Valluru, and A. Sherin. "Deep Learning based Mobilenet with Deep Belief Network for Lung Cancer Diagnosis in IOT and Cloud Enabled Environment." Indian Journal Of Science And Technology 15, no. 42 (November 12, 2022): 2219–29. http://dx.doi.org/10.17485/ijst/v15i42.1435.
Full textLorente, Maria Paz Sesmero, Elena Magán Lopez, Laura Alvarez Florez, Agapito Ledezma Espino, José Antonio Iglesias Martínez, and Araceli Sanchis de Miguel. "Explaining Deep Learning-Based Driver Models." Applied Sciences 11, no. 8 (April 7, 2021): 3321. http://dx.doi.org/10.3390/app11083321.
Full textAlbak, Lubab H., Raid Rafi Omar Al-Nima, and Arwa Hamid Salih. "Palm print verification based deep learning." TELKOMNIKA (Telecommunication Computing Electronics and Control) 19, no. 3 (June 1, 2021): 851. http://dx.doi.org/10.12928/telkomnika.v19i3.16573.
Full textTaşkıran, Murat, and Sibel Çimen Yetiş. "Deep learning based tobacco products classification." International Journal of Computing Science and Mathematics 13, no. 2 (2021): 167. http://dx.doi.org/10.1504/ijcsm.2021.114193.
Full textKarthika, J., H. Mohammed Imtiaz, M. Deepakdharsan, B. Akash, and U. Adimulam. "Deep Learning Based Multiple Object Detection." Journal of Physics: Conference Series 1916, no. 1 (May 1, 2021): 012225. http://dx.doi.org/10.1088/1742-6596/1916/1/012225.
Full textChoi, Jun Ho, Tae Young Han, Seung Hyun Lee, and Byung Cheol Song. "Deep learning-based small object detection." Journal of the Institute of Electronics and Information Engineers 55, no. 7 (July 31, 2018): 57–66. http://dx.doi.org/10.5573/ieie.2018.55.7.57.
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