Статті в журналах з теми "DNN architecture"
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Roorda, Esther, Seyedramin Rasoulinezhad, Philip H. W. Leong, and Steven J. E. Wilton. "FPGA Architecture Exploration for DNN Acceleration." ACM Transactions on Reconfigurable Technology and Systems 15, no. 3 (September 30, 2022): 1–37. http://dx.doi.org/10.1145/3503465.
Повний текст джерелаElola, Andoni, Elisabete Aramendi, Unai Irusta, Artzai Picón, Erik Alonso, Pamela Owens, and Ahamed Idris. "Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac Arrest." Entropy 21, no. 3 (March 21, 2019): 305. http://dx.doi.org/10.3390/e21030305.
Повний текст джерелаTran, Van Duy, Duc Khai Lam, and Thi Hong Tran. "Hardware-Based Architecture for DNN Wireless Communication Models." Sensors 23, no. 3 (January 23, 2023): 1302. http://dx.doi.org/10.3390/s23031302.
Повний текст джерелаTurner, Daniel, Pedro J. S. Cardoso, and João M. F. Rodrigues. "Modular Dynamic Neural Network: A Continual Learning Architecture." Applied Sciences 11, no. 24 (December 18, 2021): 12078. http://dx.doi.org/10.3390/app112412078.
Повний текст джерелаLee, Junghwan, Huanli Sun, Yuxia Liu, Xue Li, Yixin Liu, and Myungjun Kim. "State-of-Health Estimation and Anomaly Detection in Li-Ion Batteries Based on a Novel Architecture with Machine Learning." Batteries 9, no. 5 (May 8, 2023): 264. http://dx.doi.org/10.3390/batteries9050264.
Повний текст джерелаMudgil, Pooja, Pooja Gupta, Iti Mathur, and Nisheeth Joshi. "An ontological architecture for context data retrieval and ranking using SVM and DNN." Journal of Information and Optimization Sciences 44, no. 3 (2023): 369–82. http://dx.doi.org/10.47974/jios-1347.
Повний текст джерелаElsisi, Mahmoud, and Minh-Quang Tran. "Development of an IoT Architecture Based on a Deep Neural Network against Cyber Attacks for Automated Guided Vehicles." Sensors 21, no. 24 (December 18, 2021): 8467. http://dx.doi.org/10.3390/s21248467.
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 джерелаKrishnan, Gokul, Sumit K. Mandal, Chaitali Chakrabarti, Jae-Sun Seo, Umit Y. Ogras, and Yu Cao. "Impact of On-chip Interconnect on In-memory Acceleration of Deep Neural Networks." ACM Journal on Emerging Technologies in Computing Systems 18, no. 2 (April 30, 2022): 1–22. http://dx.doi.org/10.1145/3460233.
Повний текст джерелаZhao, Jiaqi, Ming Xu, Yunzhi Chen, and Guoliang Xu. "A DNN Architecture Generation Method for DDoS Detection via Genetic Alogrithm." Future Internet 15, no. 4 (March 26, 2023): 122. http://dx.doi.org/10.3390/fi15040122.
Повний текст джерелаKulkarni, Uday, Shreya B. Devagiri, Rohit B. Devaranavadagi, Sneha Pamali, Nishanth R. Negalli, and V. Prabakaran. "Depth Estimation using DNN Architecture and Vision-Based Transformers." ITM Web of Conferences 53 (2023): 02010. http://dx.doi.org/10.1051/itmconf/20235302010.
Повний текст джерелаAspri, Maria, Grigorios Tsagkatakis, and Panagiotis Tsakalides. "Distributed Training and Inference of Deep Learning Models for Multi-Modal Land Cover Classification." Remote Sensing 12, no. 17 (August 19, 2020): 2670. http://dx.doi.org/10.3390/rs12172670.
Повний текст джерелаShu, Deqin, Hao Fan, and Liang Zhang. "Research on the Overview of Image Processing Architecture of Computer Based Deep Neural Network Accelerator." Journal of Physics: Conference Series 2074, no. 1 (November 1, 2021): 012010. http://dx.doi.org/10.1088/1742-6596/2074/1/012010.
Повний текст джерелаTao, Zhe, Stephanie Nawas, Jacqueline Mitchell, and Aditya V. Thakur. "Architecture-Preserving Provable Repair of Deep Neural Networks." Proceedings of the ACM on Programming Languages 7, PLDI (June 6, 2023): 443–67. http://dx.doi.org/10.1145/3591238.
Повний текст джерелаKapočiūtė-Dzikienė, Jurgita, Kaspars Balodis, and Raivis Skadiņš. "Intent Detection Problem Solving via Automatic DNN Hyperparameter Optimization." Applied Sciences 10, no. 21 (October 22, 2020): 7426. http://dx.doi.org/10.3390/app10217426.
Повний текст джерелаLi, Guihong, Sumit K. Mandal, Umit Y. Ogras, and Radu Marculescu. "FLASH: F ast Neura l A rchitecture S earch with H ardware Optimization." ACM Transactions on Embedded Computing Systems 20, no. 5s (October 31, 2021): 1–26. http://dx.doi.org/10.1145/3476994.
Повний текст джерелаSingh, Manu, and Vibhakar Shrimali. "Classification of Brain Tumor using Hybrid Deep Learning Approach." BRAIN. Broad Research in Artificial Intelligence and Neuroscience 13, no. 2 (June 30, 2022): 308–27. http://dx.doi.org/10.18662/brain/13.2/345.
Повний текст джерелаPandey, Pramesh, Noel Daniel Gundi, Prabal Basu, Tahmoures Shabanian, Mitchell Craig Patrick, Koushik Chakraborty, and Sanghamitra Roy. "Challenges and Opportunities in Near-Threshold DNN Accelerators around Timing Errors." Journal of Low Power Electronics and Applications 10, no. 4 (October 16, 2020): 33. http://dx.doi.org/10.3390/jlpea10040033.
Повний текст джерелаGalitsky, Boris, Dmitry Ilvovsky, and Saveli Goldberg. "Shaped-Charge Learning Architecture for the Human–Machine Teams." Entropy 25, no. 6 (June 12, 2023): 924. http://dx.doi.org/10.3390/e25060924.
Повний текст джерелаGreif, Kevin, and Kevin Lannon. "Physics Inspired Deep Neural Networks for Top Quark Reconstruction." EPJ Web of Conferences 245 (2020): 06029. http://dx.doi.org/10.1051/epjconf/202024506029.
Повний текст джерелаKanimozhi, G., and P. Shanmugavadivu. "OPTIMIZED DEEP NEURAL NETWORKS ARCHITECTURE MODEL FOR BREAST CANCER DIAGNOSIS." YMER Digital 20, no. 11 (November 16, 2021): 161–75. http://dx.doi.org/10.37896/ymer20.11/15.
Повний текст джерелаKavitha, S., and J. Manikandan. "Design of a Bottleneck Layered DNN Algorithm for Intrusion Detection System." IRO Journal on Sustainable Wireless Systems 3, no. 4 (May 16, 2022): 242–58. http://dx.doi.org/10.36548/jsws.2021.4.004.
Повний текст джерелаMei, Linyan, Pouya Houshmand, Vikram Jain, Sebastian Giraldo, and Marian Verhelst. "ZigZag: Enlarging Joint Architecture-Mapping Design Space Exploration for DNN Accelerators." IEEE Transactions on Computers 70, no. 8 (August 1, 2021): 1160–74. http://dx.doi.org/10.1109/tc.2021.3059962.
Повний текст джерелаShamasundar, Bharath, and Ananthanarayanan Chockalingam. "A DNN Architecture for the Detection of Generalized Spatial Modulation Signals." IEEE Communications Letters 24, no. 12 (December 2020): 2770–74. http://dx.doi.org/10.1109/lcomm.2020.3018260.
Повний текст джерелаLong, Yun, Daehyun Kim, Edward Lee, Priyabrata Saha, Burhan Ahmad Mudassar, Xueyuan She, Asif Islam Khan, and Saibal Mukhopadhyay. "A Ferroelectric FET-Based Processing-in-Memory Architecture for DNN Acceleration." IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 5, no. 2 (December 2019): 113–22. http://dx.doi.org/10.1109/jxcdc.2019.2923745.
Повний текст джерелаYu, Ye, Yingmin Li, Shuai Che, Niraj K. Jha, and Weifeng Zhang. "Software-Defined Design Space Exploration for an Efficient DNN Accelerator Architecture." IEEE Transactions on Computers 70, no. 1 (January 1, 2021): 45–56. http://dx.doi.org/10.1109/tc.2020.2983694.
Повний текст джерелаKulkarni, Uday, Abhishek Patil, Rohit Devaranavadagi, Shreya B. Devagiri, Sneha K. Pamali, and Raunak Ujawane. "Vision-Based Quality Control Check of Tube Shaft using DNN Architecture." ITM Web of Conferences 53 (2023): 02009. http://dx.doi.org/10.1051/itmconf/20235302009.
Повний текст джерелаZhou, Siqi, Mohamed K. Helwa, and Angela P. Schoellig. "Deep neural networks as add-on modules for enhancing robot performance in impromptu trajectory tracking." International Journal of Robotics Research 39, no. 12 (September 11, 2020): 1397–418. http://dx.doi.org/10.1177/0278364920953902.
Повний текст джерелаKao, Hsu-Yu, Shih-Hsu Huang, and Wei-Kai Cheng. "Design Framework for ReRAM-Based DNN Accelerators with Accuracy and Hardware Evaluation." Electronics 11, no. 13 (July 5, 2022): 2107. http://dx.doi.org/10.3390/electronics11132107.
Повний текст джерелаUto, Masaki. "A review of deep-neural automated essay scoring models." Behaviormetrika 48, no. 2 (July 2021): 459–84. http://dx.doi.org/10.1007/s41237-021-00142-y.
Повний текст джерелаHosseini, Fateme S., Fanruo Meng, Chengmo Yang, Wujie Wen, and Rosario Cammarota. "Tolerating Defects in Low-Power Neural Network Accelerators Via Retraining-Free Weight Approximation." ACM Transactions on Embedded Computing Systems 20, no. 5s (October 31, 2021): 1–21. http://dx.doi.org/10.1145/3477016.
Повний текст джерелаPham, Tuan Anh, Van Quan Tran, and Huong-Lan Thi Vu. "Evolution of Deep Neural Network Architecture Using Particle Swarm Optimization to Improve the Performance in Determining the Friction Angle of Soil." Mathematical Problems in Engineering 2021 (May 7, 2021): 1–17. http://dx.doi.org/10.1155/2021/5570945.
Повний текст джерелаAhmad, Zeeshan, Adnan Shahid Khan, Kashif Nisar, Iram Haider, Rosilah Hassan, Muhammad Reazul Haque, Seleviawati Tarmizi, and Joel J. P. C. Rodrigues. "Anomaly Detection Using Deep Neural Network for IoT Architecture." Applied Sciences 11, no. 15 (July 30, 2021): 7050. http://dx.doi.org/10.3390/app11157050.
Повний текст джерелаПаршин, А. И., М. Н. Аралов, В. Ф. Барабанов, and Н. И. Гребенникова. "RANDOM MULTI-MODAL DEEP LEARNING IN THE PROBLEM OF IMAGE RECOGNITION." ВЕСТНИК ВОРОНЕЖСКОГО ГОСУДАРСТВЕННОГО ТЕХНИЧЕСКОГО УНИВЕРСИТЕТА, no. 4 (October 20, 2021): 21–26. http://dx.doi.org/10.36622/vstu.2021.17.4.003.
Повний текст джерелаQasrina Ann, Nurnajmin, Dwi Pebrianti, Mohd Fadhil Abas, and Luhur Bayuaji. "Automated-tuned hyper-parameter deep neural network by using arithmetic optimization algorithm for Lorenz chaotic system." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 2 (April 1, 2023): 2167. http://dx.doi.org/10.11591/ijece.v13i2.pp2167-2176.
Повний текст джерелаCho, Hyungmin. "RiSA: A Reinforced Systolic Array for Depthwise Convolutions and Embedded Tensor Reshaping." ACM Transactions on Embedded Computing Systems 20, no. 5s (October 31, 2021): 1–20. http://dx.doi.org/10.1145/3476984.
Повний текст джерелаLei, Hong, Yue Xiao, Yanchun Liang, Dalin Li, and Heow Pueh Lee. "DLD: An Optimized Chinese Speech Recognition Model Based on Deep Learning." Complexity 2022 (May 2, 2022): 1–8. http://dx.doi.org/10.1155/2022/6927400.
Повний текст джерелаWang, Yi-Ren, and Yi-Jyun Wang. "Flutter speed prediction by using deep learning." Advances in Mechanical Engineering 13, no. 11 (November 2021): 168781402110622. http://dx.doi.org/10.1177/16878140211062275.
Повний текст джерелаPedram, Ardavan, Ali Shafie Ardestani, Ling Li, Hamzah Abdelaziz, Jun Fang, and Joseph Hassoun. "Algorithm/architecture solutions to improve beyond uniform quantization in embedded DNN accelerators." Journal of Systems Architecture 126 (May 2022): 102454. http://dx.doi.org/10.1016/j.sysarc.2022.102454.
Повний текст джерелаGowda, Kavitha Malali Vishveshwarappa, Sowmya Madhavan, Stefano Rinaldi, Parameshachari Bidare Divakarachari, and Anitha Atmakur. "FPGA-Based Reconfigurable Convolutional Neural Network Accelerator Using Sparse and Convolutional Optimization." Electronics 11, no. 10 (May 22, 2022): 1653. http://dx.doi.org/10.3390/electronics11101653.
Повний текст джерелаNabavinejad, Seyed Morteza, and Sherief Reda. "BayesTuner: Leveraging Bayesian Optimization For DNN Inference Configuration Selection." IEEE Computer Architecture Letters 20, no. 2 (July 1, 2021): 166–70. http://dx.doi.org/10.1109/lca.2021.3123695.
Повний текст джерелаKwon, Hyoukjun, Michael Pellauer, Angshuman Parashar, and Tushar Krishna. "Flexion: A Quantitative Metric for Flexibility in DNN Accelerators." IEEE Computer Architecture Letters 20, no. 1 (January 1, 2021): 1–4. http://dx.doi.org/10.1109/lca.2020.3044607.
Повний текст джерелаAnahid Robert Safavi, Alberto G. Perotti, Branislav M. Popovic, Mahdi Boloursaz Mashhadi, and Deniz G�nd�z. "Deep extended feedback codes." ITU Journal on Future and Evolving Technologies 2, no. 6 (September 13, 2021): 33–41. http://dx.doi.org/10.52953/snlm1743.
Повний текст джерелаMateen, Muhammad, Junhao Wen, Nasrullah, Sun Song, and Zhouping Huang. "Fundus Image Classification Using VGG-19 Architecture with PCA and SVD." Symmetry 11, no. 1 (December 20, 2018): 1. http://dx.doi.org/10.3390/sym11010001.
Повний текст джерелаWang, Jihong, Hao Wang, Xiaodan Wang, and Huiyou Chang. "Predicting Drug-target Interactions via FM-DNN Learning." Current Bioinformatics 15, no. 1 (February 6, 2020): 68–76. http://dx.doi.org/10.2174/1574893614666190227160538.
Повний текст джерелаZhang, Tunhou, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Li, and Yiran Chen. "AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 6829–36. http://dx.doi.org/10.1609/aaai.v34i04.6163.
Повний текст джерелаMunoz-Martinez, Francisco, Jose L. Abellan, Manuel E. Acacio, and Tushar Krishna. "STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators." IEEE Computer Architecture Letters 20, no. 2 (July 1, 2021): 122–25. http://dx.doi.org/10.1109/lca.2021.3097253.
Повний текст джерелаJang, Yongjoo, Sejin Kim, Daehoon Kim, Sungjin Lee, and Jaeha Kung. "Deep Partitioned Training From Near-Storage Computing to DNN Accelerators." IEEE Computer Architecture Letters 20, no. 1 (January 1, 2021): 70–73. http://dx.doi.org/10.1109/lca.2021.3081752.
Повний текст джерелаLin, Shaoxiong, Wangyou Zhang, and Yanmin Qian. "Two-Stage Single-Channel Speech Enhancement with Multi-Frame Filtering." Applied Sciences 13, no. 8 (April 14, 2023): 4926. http://dx.doi.org/10.3390/app13084926.
Повний текст джерелаXiao, Dongwei, Zhibo Liu, Yuanyuan Yuan, Qi Pang, and Shuai Wang. "Metamorphic Testing of Deep Learning Compilers." ACM SIGMETRICS Performance Evaluation Review 50, no. 1 (June 20, 2022): 65–66. http://dx.doi.org/10.1145/3547353.3522655.
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