Artículos de revistas sobre el tema "Binary neural networks (BNN)"
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Rozen, Tal, Moshe Kimhi, Brian Chmiel, Avi Mendelson y Chaim Baskin. "Bimodal-Distributed Binarized Neural Networks". Mathematics 10, n.º 21 (3 de noviembre de 2022): 4107. http://dx.doi.org/10.3390/math10214107.
Texto completoCho, Jaechan, Yongchul Jung, Seongjoo Lee y Yunho Jung. "Reconfigurable Binary Neural Network Accelerator with Adaptive Parallelism Scheme". Electronics 10, n.º 3 (20 de enero de 2021): 230. http://dx.doi.org/10.3390/electronics10030230.
Texto completoSunny, Febin P., Asif Mirza, Mahdi Nikdast y Sudeep Pasricha. "ROBIN: A Robust Optical Binary Neural Network Accelerator". ACM Transactions on Embedded Computing Systems 20, n.º 5s (31 de octubre de 2021): 1–24. http://dx.doi.org/10.1145/3476988.
Texto completoSimons, Taylor y Dah-Jye Lee. "A Review of Binarized Neural Networks". Electronics 8, n.º 6 (12 de junio de 2019): 661. http://dx.doi.org/10.3390/electronics8060661.
Texto completoWang, Peisong, Xiangyu He, Gang Li, Tianli Zhao y Jian Cheng. "Sparsity-Inducing Binarized Neural Networks". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 07 (3 de abril de 2020): 12192–99. http://dx.doi.org/10.1609/aaai.v34i07.6900.
Texto completoLiu, Chunlei, Peng Chen, Bohan Zhuang, Chunhua Shen, Baochang Zhang y Wenrui Ding. "SA-BNN: State-Aware Binary Neural Network". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 3 (18 de mayo de 2021): 2091–99. http://dx.doi.org/10.1609/aaai.v35i3.16306.
Texto completoZhao, Yiyang, Yongjia Wang, Ruibo Wang, Yuan Rong y Xianyang Jiang. "A Highly Robust Binary Neural Network Inference Accelerator Based on Binary Memristors". Electronics 10, n.º 21 (25 de octubre de 2021): 2600. http://dx.doi.org/10.3390/electronics10212600.
Texto completoXiang, Maoyang y Tee Hui Teo. "Implementation of Binarized Neural Networks in All-Programmable System-on-Chip Platforms". Electronics 11, n.º 4 (21 de febrero de 2022): 663. http://dx.doi.org/10.3390/electronics11040663.
Texto completoZhang, Longlong, Xuebin Tang, Xiang Hu, Tong Zhou y Yuanxi Peng. "FPGA-Based BNN Architecture in Time Domain with Low Storage and Power Consumption". Electronics 11, n.º 9 (28 de abril de 2022): 1421. http://dx.doi.org/10.3390/electronics11091421.
Texto completoKim, HyunJin, Mohammed Alnemari y Nader Bagherzadeh. "A storage-efficient ensemble classification using filter sharing on binarized convolutional neural networks". PeerJ Computer Science 8 (29 de marzo de 2022): e924. http://dx.doi.org/10.7717/peerj-cs.924.
Texto completoParmar, Vivek, Sandeep Kaur Kingra, Shubham Negi y Manan Suri. "Analysis of VMM computation strategies to implement BNN applications on RRAM arrays". APL Machine Learning 1, n.º 2 (1 de junio de 2023): 026108. http://dx.doi.org/10.1063/5.0139583.
Texto completoTrinh Quang Kien. "Improving the robustness of binarized neural network using the EFAT method". Journal of Military Science and Technology, CSCE5 (15 de diciembre de 2021): 14–23. http://dx.doi.org/10.54939/1859-1043.j.mst.csce5.2021.14-23.
Texto completoJiang, Xinrui, Nannan Wang, Jingwei Xin, Keyu Li, Xi Yang y Xinbo Gao. "Training Binary Neural Network without Batch Normalization for Image Super-Resolution". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 2 (18 de mayo de 2021): 1700–1707. http://dx.doi.org/10.1609/aaai.v35i2.16263.
Texto completoYu, Jie, Woyu Zhang, Danian Dong, Wenxuan Sun, Jinru Lai, Xu Zheng, Tiancheng Gong et al. "Long-Term Accuracy Enhancement of Binary Neural Networks Based on Optimized Three-Dimensional Memristor Array". Micromachines 13, n.º 2 (17 de febrero de 2022): 308. http://dx.doi.org/10.3390/mi13020308.
Texto completoZhu, Ganlin, Hongxiao Fei, Junkun Hong, Yueyi Luo y Jun Long. "An Information-Reserved and Deviation-Controllable Binary Neural Network for Object Detection". Mathematics 11, n.º 1 (24 de diciembre de 2022): 62. http://dx.doi.org/10.3390/math11010062.
Texto completoSimons, Taylor y Dah-Jye Lee. "Efficient Binarized Convolutional Layers for Visual Inspection Applications on Resource-Limited FPGAs and ASICs". Electronics 10, n.º 13 (23 de junio de 2021): 1511. http://dx.doi.org/10.3390/electronics10131511.
Texto completoXue, Ping, Yang Lu, Jingfei Chang, Xing Wei y Zhen Wei. "Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 9 (26 de junio de 2023): 10684–92. http://dx.doi.org/10.1609/aaai.v37i9.26268.
Texto completoXi, Jiazhen y Hiroyuki Yamauchi. "A Layer-Wise Ensemble Technique for Binary Neural Network". International Journal of Pattern Recognition and Artificial Intelligence 35, n.º 08 (5 de marzo de 2021): 2152011. http://dx.doi.org/10.1142/s021800142152011x.
Texto completoGao, Jiabao, Qingliang Liu y Jinmei Lai. "An Approach of Binary Neural Network Energy-Efficient Implementation". Electronics 10, n.º 15 (30 de julio de 2021): 1830. http://dx.doi.org/10.3390/electronics10151830.
Texto completoChang, Liang, Xin Ma, Zhaohao Wang, Youguang Zhang, Yuan Xie y Weisheng Zhao. "PXNOR-BNN: In/With Spin-Orbit Torque MRAM Preset-XNOR Operation-Based Binary Neural Networks". IEEE Transactions on Very Large Scale Integration (VLSI) Systems 27, n.º 11 (noviembre de 2019): 2668–79. http://dx.doi.org/10.1109/tvlsi.2019.2926984.
Texto completoLi, Yanfei, Tong Geng, Ang Li y Huimin Yu. "BCNN: Binary complex neural network". Microprocessors and Microsystems 87 (noviembre de 2021): 104359. http://dx.doi.org/10.1016/j.micpro.2021.104359.
Texto completoXu, Sheng, Chang Liu, Baochang Zhang, Jinhu Lü, Guodong Guo y David Doermann. "BiRe-ID: Binary Neural Network for Efficient Person Re-ID". ACM Transactions on Multimedia Computing, Communications, and Applications 18, n.º 1s (28 de febrero de 2022): 1–22. http://dx.doi.org/10.1145/3473340.
Texto completoZou, Wanbing, Song Cheng, Luyuan Wang, Guanyu Fu, Delong Shang, Yumei Zhou y Yi Zhan. "Increasing Information Entropy of Both Weights and Activations for the Binary Neural Networks". Electronics 10, n.º 16 (12 de agosto de 2021): 1943. http://dx.doi.org/10.3390/electronics10161943.
Texto completode Sousa, André L., Mário P. Véstias y Horácio C. Neto. "Multi-Model Inference Accelerator for Binary Convolutional Neural Networks". Electronics 11, n.º 23 (30 de noviembre de 2022): 3966. http://dx.doi.org/10.3390/electronics11233966.
Texto completoPeng, Hanyu y Shifeng Chen. "BDNN: Binary convolution neural networks for fast object detection". Pattern Recognition Letters 125 (julio de 2019): 91–97. http://dx.doi.org/10.1016/j.patrec.2019.03.026.
Texto completoPENG, YUN y MIAO JIN. "A NEURAL NETWORK APPROACH TO APPROXIMATING MAP IN BELIEF NETWORKS". International Journal of Neural Systems 12, n.º 03n04 (junio de 2002): 271–90. http://dx.doi.org/10.1142/s0129065702001175.
Texto completoColuccio, Andrea, Marco Vacca y Giovanna Turvani. "Logic-in-Memory Computation: Is It Worth It? A Binary Neural Network Case Study". Journal of Low Power Electronics and Applications 10, n.º 1 (22 de febrero de 2020): 7. http://dx.doi.org/10.3390/jlpea10010007.
Texto completoChoi, Jeong Hwan, Young-Ho Gong y Sung Woo Chung. "A System-Level Exploration of Binary Neural Network Accelerators with Monolithic 3D Based Compute-in-Memory SRAM". Electronics 10, n.º 5 (8 de marzo de 2021): 623. http://dx.doi.org/10.3390/electronics10050623.
Texto completoGundersen, Kristian, Guttorm Alendal, Anna Oleynik y Nello Blaser. "Binary Time Series Classification with Bayesian Convolutional Neural Networks When Monitoring for Marine Gas Discharges". Algorithms 13, n.º 6 (19 de junio de 2020): 145. http://dx.doi.org/10.3390/a13060145.
Texto completoBabu, Bileesh Plakkal y Swathi Jamjala Narayanan. "One-vs-All Convolutional Neural Networks for Synthetic Aperture Radar Target Recognition". Cybernetics and Information Technologies 22, n.º 3 (1 de septiembre de 2022): 179–97. http://dx.doi.org/10.2478/cait-2022-0035.
Texto completoLee, Su-Jung, Gil-Ho Kwak y Tae-Hwan Kim. "TORRES: A Resource-Efficient Inference Processor for Binary Convolutional Neural Networks Based on Locality-Aware Operation Skipping". Electronics 11, n.º 21 (29 de octubre de 2022): 3534. http://dx.doi.org/10.3390/electronics11213534.
Texto completoSiddiqui, Shama, Rory Nesbitt, Muhammad Zeeshan Shakir, Anwar Ahmed Khan, Ausaf Ahmed Khan, Karima Karam Khan y Naeem Ramzan. "Artificial Neural Network (ANN) Enabled Internet of Things (IoT) Architecture for Music Therapy". Electronics 9, n.º 12 (29 de noviembre de 2020): 2019. http://dx.doi.org/10.3390/electronics9122019.
Texto completoSarker, Ronobir, Amandeep Kaur y D. Singh. "Noise Estimation Using Back Propagation Neural Networks". ECS Transactions 107, n.º 1 (24 de abril de 2022): 18761–68. http://dx.doi.org/10.1149/10701.18761ecst.
Texto completoWagner, Philipp, Xinyang Wu y Marco F. Huber. "Kalman Bayesian Neural Networks for Closed-Form Online Learning". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 8 (26 de junio de 2023): 10069–77. http://dx.doi.org/10.1609/aaai.v37i8.26200.
Texto completoPark, Namuk, Taekyu Lee y Songkuk Kim. "Vector Quantized Bayesian Neural Network Inference for Data Streams". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 10 (18 de mayo de 2021): 9322–30. http://dx.doi.org/10.1609/aaai.v35i10.17124.
Texto completoMcCormack, Michael D., David E. Zaucha y Dennis W. Dushek. "First‐break refraction event picking and seismic data trace editing using neural networks". GEOPHYSICS 58, n.º 1 (enero de 1993): 67–78. http://dx.doi.org/10.1190/1.1443352.
Texto completoŚwietlicka, Aleksandra, Karol Gugała, Marta Kolasa, Jolanta Pauk, Andrzej Rybarczyk y Rafał Długosz. "A New Model of the Neuron for Biological Spiking Neural Network Suitable for Parallel Data Processing Realized in Hardware". Solid State Phenomena 199 (marzo de 2013): 217–22. http://dx.doi.org/10.4028/www.scientific.net/ssp.199.217.
Texto completoLiang, Jiuzhen, Wei Song y Mei Wang. "Stock Price Prediction Based on Procedural Neural Networks". Advances in Artificial Neural Systems 2011 (15 de junio de 2011): 1–11. http://dx.doi.org/10.1155/2011/814769.
Texto completoNguyen, Andre T., Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas y James Holt. "Out of Distribution Data Detection Using Dropout Bayesian Neural Networks". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 7 (28 de junio de 2022): 7877–85. http://dx.doi.org/10.1609/aaai.v36i7.20757.
Texto completoJiang, Chuan Jin. "The Application of Bayesian Neural Network in Rainfall Forecasting". Key Engineering Materials 439-440 (junio de 2010): 1300–1305. http://dx.doi.org/10.4028/www.scientific.net/kem.439-440.1300.
Texto completoBae, Seongwoo, Haechan Kim, Seongjoo Lee y Yunho Jung. "FPGA Implementation of Keyword Spotting System Using Depthwise Separable Binarized and Ternarized Neural Networks". Sensors 23, n.º 12 (19 de junio de 2023): 5701. http://dx.doi.org/10.3390/s23125701.
Texto completoYu, Haofan, Alyandra Hami Seno, Zahra Sharif Khodaei y M. H. Ferri Aliabadi. "Structural Health Monitoring Impact Classification Method Based on Bayesian Neural Network". Polymers 14, n.º 19 (21 de septiembre de 2022): 3947. http://dx.doi.org/10.3390/polym14193947.
Texto completoHerdiansah, Arief, Rohmat Indra Borman, Desi Nurnaningsih, Alfry Aristo J. Sinlae y Rosyid Ridlo Al Hakim. "Klasifikasi Citra Daun Herbal Dengan Menggunakan Backpropagation Neural Networks Berdasarkan Ekstraksi Ciri Bentuk". JURIKOM (Jurnal Riset Komputer) 9, n.º 2 (29 de abril de 2022): 388. http://dx.doi.org/10.30865/jurikom.v9i2.4066.
Texto completoGuan, Qing-yang y Wu Shuang. "Signal Detection in Satellite-Ground IoT Link Based on Blind Neural Network". Wireless Communications and Mobile Computing 2021 (6 de mayo de 2021): 1–10. http://dx.doi.org/10.1155/2021/5547989.
Texto completoChauhan, Krishan Kumar, Garima Joshi, Manjeet Kaur y Renu Vig. "Semiconductor wafer defect classification using convolution neural network: a binary case". IOP Conference Series: Materials Science and Engineering 1225, n.º 1 (1 de febrero de 2022): 012060. http://dx.doi.org/10.1088/1757-899x/1225/1/012060.
Texto completoZanotti, Tommaso, Francesco Maria Puglisi y Paolo Pavan. "Energy-Efficient Non-Von Neumann Computing Architecture Supporting Multiple Computing Paradigms for Logic and Binarized Neural Networks". Journal of Low Power Electronics and Applications 11, n.º 3 (6 de julio de 2021): 29. http://dx.doi.org/10.3390/jlpea11030029.
Texto completoJUNIOR, GERALDO BRAZ, LEONARDO DE OLIVEIRA MARTINS, ARISTÓFANES CORREA SILVA y ANSELMO CARDOSO PAIVA. "COMPARISON OF SUPPORT VECTOR MACHINES AND BAYESIAN NEURAL NETWORKS PERFORMANCE FOR BREAST TISSUES USING GEOSTATISTICAL FUNCTIONS IN MAMMOGRAPHIC IMAGES". International Journal of Computational Intelligence and Applications 09, n.º 04 (diciembre de 2010): 271–88. http://dx.doi.org/10.1142/s1469026810002914.
Texto completoBiswal, Manas Ranjan, Tahesin Samira Delwar, Abrar Siddique, Prangyadarsini Behera, Yeji Choi y Jee-Youl Ryu. "Pattern Classification Using Quantized Neural Networks for FPGA-Based Low-Power IoT Devices". Sensors 22, n.º 22 (10 de noviembre de 2022): 8694. http://dx.doi.org/10.3390/s22228694.
Texto completoVidyasagar, M. "Are analog neural networks better than binary neural networks?" Circuits, Systems, and Signal Processing 17, n.º 2 (marzo de 1998): 243–70. http://dx.doi.org/10.1007/bf01202855.
Texto completoZeng, Xia, Zhengfeng Yang, Li Zhang, Xiaochao Tang, Zhenbing Zeng y Zhiming Liu. "Safety Verification of Nonlinear Systems with Bayesian Neural Network Controllers". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 12 (26 de junio de 2023): 15278–86. http://dx.doi.org/10.1609/aaai.v37i12.26782.
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