Artículos de revistas sobre el tema "Memory Devices - Classification"
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Bezerra, Vitor Hugo, Victor Guilherme Turrisi da Costa, Sylvio Barbon Junior, Rodrigo Sanches Miani y Bruno Bogaz Zarpelão. "IoTDS: A One-Class Classification Approach to Detect Botnets in Internet of Things Devices". Sensors 19, n.º 14 (19 de julio de 2019): 3188. http://dx.doi.org/10.3390/s19143188.
Texto completoHwang, Yeongjin, Jeong Hoon Jeon, Juhyun Lee, Jonghyuk Yoon, Felix Sunjoo Kim y Hyungjin Kim. "Effect of Threshold Voltage Window and Variation of Organic Synaptic Transistor for Neuromorphic System". Journal of Nanoscience and Nanotechnology 21, n.º 8 (1 de agosto de 2021): 4303–9. http://dx.doi.org/10.1166/jnn.2021.19393.
Texto completoK I, Ravikumar. "Memristor-Based Deep Learning Classification Model for Object Detection". ECS Transactions 107, n.º 1 (24 de abril de 2022): 277–85. http://dx.doi.org/10.1149/10701.0277ecst.
Texto completoPérez Arteaga, Sandra, Ana Lucila Sandoval Orozco y Luis Javier García Villalba. "Analysis of Machine Learning Techniques for Information Classification in Mobile Applications". Applied Sciences 13, n.º 9 (27 de abril de 2023): 5438. http://dx.doi.org/10.3390/app13095438.
Texto completoXu, Peng, Zhihua Xiao, Xianglong Wang, Lei Chen, Chao Wang y Fengwei An. "A Multi-Core Object Detection Coprocessor for Multi-Scale/Type Classification Applicable to IoT Devices". Sensors 20, n.º 21 (31 de octubre de 2020): 6239. http://dx.doi.org/10.3390/s20216239.
Texto completoYauri, Ricardo y Rafael Espino. "Edge device for movement pattern classification using neural network algorithms". Indonesian Journal of Electrical Engineering and Computer Science 30, n.º 1 (1 de abril de 2023): 229. http://dx.doi.org/10.11591/ijeecs.v30.i1.pp229-236.
Texto completoSingh Yadav, Ram, Aniket Sadashiva, Amod Holla, Pranaba Kishor Muduli y Debanjan Bhowmik. "Impact of edge defects on the synaptic characteristic of a ferromagnetic domain-wall device and on on-chip learning". Neuromorphic Computing and Engineering 3, n.º 3 (25 de agosto de 2023): 034006. http://dx.doi.org/10.1088/2634-4386/acf0e4.
Texto completoLee, Hyungkeuk, NamKyung Lee y Sungjin Lee. "A Method of Deep Learning Model Optimization for Image Classification on Edge Device". Sensors 22, n.º 19 (27 de septiembre de 2022): 7344. http://dx.doi.org/10.3390/s22197344.
Texto completoKwon, Dongseok, Hyeongsu Kim, Kyu-Ho Lee, Joon Hwang, Wonjun Shin, Jong-Ho Bae, Sung Yun Woo y Jong-Ho Lee. "Super-steep synapses based on positive feedback devices for reliable binary neural networks". Applied Physics Letters 122, n.º 10 (6 de marzo de 2023): 102101. http://dx.doi.org/10.1063/5.0131235.
Texto completoQian, Xuwei, Renlong Hang y Qingshan Liu. "ReX: An Efficient Approach to Reducing Memory Cost in Image Classification". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 2 (28 de junio de 2022): 2099–107. http://dx.doi.org/10.1609/aaai.v36i2.20106.
Texto completoLi, A. Xiaochang, B. Jichen Chen, C. Zhengjun Zhai, D. Mingchen Feng y E. Xin Ye. "URM: A Unified RAM Management Scheme for NAND Flash Storage Devices". Discrete Dynamics in Nature and Society 2022 (31 de mayo de 2022): 1–11. http://dx.doi.org/10.1155/2022/3376904.
Texto completoWan, Weier, Rajkumar Kubendran, Clemens Schaefer, Sukru Burc Eryilmaz, Wenqiang Zhang, Dabin Wu, Stephen Deiss et al. "A compute-in-memory chip based on resistive random-access memory". Nature 608, n.º 7923 (17 de agosto de 2022): 504–12. http://dx.doi.org/10.1038/s41586-022-04992-8.
Texto completoRizal, Achmad, Sugondo Hadiyoso y Ahmad Zaky Ramdani. "FPGA-Based Implementation for Real-Time Epileptic EEG Classification Using Hjorth Descriptor and KNN". Electronics 11, n.º 19 (23 de septiembre de 2022): 3026. http://dx.doi.org/10.3390/electronics11193026.
Texto completoChang, Juneseo, Myeongjin Kang y Daejin Park. "Low-Power On-Chip Implementation of Enhanced SVM Algorithm for Sensors Fusion-Based Activity Classification in Lightweighted Edge Devices". Electronics 11, n.º 1 (3 de enero de 2022): 139. http://dx.doi.org/10.3390/electronics11010139.
Texto completoSakai, Keita, Mamiko Yagi, Mitsuki Ito y Jun-ichi Shirakashi. "Multiple connected artificial synapses based on electromigrated Au nanogaps". Journal of Vacuum Science & Technology B 40, n.º 5 (septiembre de 2022): 053202. http://dx.doi.org/10.1116/6.0002081.
Texto completoLee, Taehun, Hae-In Kim, Yoonjin Cho, Sangwoo Lee, Won-Yong Lee, Jin-Hyuk Bae, In-Man Kang, Kwangeun Kim, Sin-Hyung Lee y Jaewon Jang. "Sol–Gel-Processed Y2O3 Multilevel Resistive Random-Access Memory Cells for Neural Networks". Nanomaterials 13, n.º 17 (27 de agosto de 2023): 2432. http://dx.doi.org/10.3390/nano13172432.
Texto completoPérez, Ignacio y Miguel Figueroa. "A Heterogeneous Hardware Accelerator for Image Classification in Embedded Systems". Sensors 21, n.º 8 (9 de abril de 2021): 2637. http://dx.doi.org/10.3390/s21082637.
Texto completoAhmed, O., S. Areibi y G. Grewal. "Hardware Accelerators Targeting a Novel Group Based Packet Classification Algorithm". International Journal of Reconfigurable Computing 2013 (2013): 1–33. http://dx.doi.org/10.1155/2013/681894.
Texto completoWang, Jinnan, Weiqin Tong y Xiaoli Zhi. "Model Parallelism Optimization for CNN FPGA Accelerator". Algorithms 16, n.º 2 (14 de febrero de 2023): 110. http://dx.doi.org/10.3390/a16020110.
Texto completoSaxena, Vishal, Xinyu Wu, Ira Srivastava y Kehan Zhu. "Towards Neuromorphic Learning Machines Using Emerging Memory Devices with Brain-Like Energy Efficiency". Journal of Low Power Electronics and Applications 8, n.º 4 (2 de octubre de 2018): 34. http://dx.doi.org/10.3390/jlpea8040034.
Texto completoAlahmadi, Abdulhadi y Tae Sun Chung. "Crash Recovery Techniques for Flash Storage Devices Leveraging Flash Translation Layer: A Review". Electronics 12, n.º 6 (16 de marzo de 2023): 1422. http://dx.doi.org/10.3390/electronics12061422.
Texto completoYang, Jingran. "The Application of Deep Learning for Network Traffic Classification". Highlights in Science, Engineering and Technology 39 (1 de abril de 2023): 979–84. http://dx.doi.org/10.54097/hset.v39i.6689.
Texto completoLu, Peng, Yang Gao, Hao Xi, Yabin Zhang, Chao Gao, Bing Zhou, Hongpo Zhang, Liwei Chen y Xiaobo Mao. "KecNet: A Light Neural Network for Arrhythmia Classification Based on Knowledge Reinforcement". Journal of Healthcare Engineering 2021 (24 de abril de 2021): 1–10. http://dx.doi.org/10.1155/2021/6684954.
Texto completoAndrighetti, Milena, Giovanna Turvani, Giulia Santoro, Marco Vacca, Andrea Marchesin, Fabrizio Ottati, Massimo Ruo Roch, Mariagrazia Graziano y Maurizio Zamboni. "Data Processing and Information Classification—An In-Memory Approach". Sensors 20, n.º 6 (18 de marzo de 2020): 1681. http://dx.doi.org/10.3390/s20061681.
Texto completoSludds, Alexander, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Jared Cochrane, Liane Bernstein, Darius Bunandar et al. "Delocalized photonic deep learning on the internet’s edge". Science 378, n.º 6617 (21 de octubre de 2022): 270–76. http://dx.doi.org/10.1126/science.abq8271.
Texto completoWang, Juan, Jing Zhong y Jiangqi Li. "IoT-Portrait: Automatically Identifying IoT Devices via Transformer with Incremental Learning". Future Internet 15, n.º 3 (7 de marzo de 2023): 102. http://dx.doi.org/10.3390/fi15030102.
Texto completoDawadi, Babu R., Danda B. Rawat, Shashidhar R. Joshi y Pietro Manzoni. "Intelligent Approach to Network Device Migration Planning towards Software-Defined IPv6 Networks". Sensors 22, n.º 1 (26 de diciembre de 2021): 143. http://dx.doi.org/10.3390/s22010143.
Texto completoГерасимов, I. Gerasimov, Яшин y A. Yashin. "Ion-Molecular Memory Model. Basic Notions. Types of Memory (review)". Journal of New Medical Technologies 20, n.º 4 (20 de diciembre de 2013): 165–70. http://dx.doi.org/10.12737/2754.
Texto completoSun, Wookyung, Sujin Choi, Bokyung Kim y Hyungsoon Shin. "Effect of Initial Synaptic State on Pattern Classification Accuracy of 3D Vertical Resistive Random Access Memory (VRRAM) Synapses". Journal of Nanoscience and Nanotechnology 20, n.º 8 (1 de agosto de 2020): 4730–34. http://dx.doi.org/10.1166/jnn.2020.17798.
Texto completoAbbasi, Mahdi, Navid Mousavi, Milad Rafiee, Mohammad R. Khosravi y Varun G. Menon. "A CRC-Based Classifier Micro-Engine for Efficient Flow Processing in SDN-Based Internet of Things". Mobile Information Systems 2020 (18 de mayo de 2020): 1–8. http://dx.doi.org/10.1155/2020/7641073.
Texto completoMorgado, Ana C., Catarina Andrade, Luís F. Teixeira y Maria João M. Vasconcelos. "Incremental Learning for Dermatological Imaging Modality Classification". Journal of Imaging 7, n.º 9 (7 de septiembre de 2021): 180. http://dx.doi.org/10.3390/jimaging7090180.
Texto completoAhanger, Tariq Ahamed, Abdulaziz Aldaej, Mohammed Atiquzzaman, Imdad Ullah y Muhammad Yousufudin. "Federated Learning-Inspired Technique for Attack Classification in IoT Networks". Mathematics 10, n.º 12 (20 de junio de 2022): 2141. http://dx.doi.org/10.3390/math10122141.
Texto completoBiffi, E., D. Ghezzi, A. Pedrocchi y G. Ferrigno. "Development and Validation of a Spike Detection and Classification Algorithm Aimed at Implementation on Hardware Devices". Computational Intelligence and Neuroscience 2010 (2010): 1–15. http://dx.doi.org/10.1155/2010/659050.
Texto completoSun, Zhong, Giacomo Pedretti, Alessandro Bricalli y Daniele Ielmini. "One-step regression and classification with cross-point resistive memory arrays". Science Advances 6, n.º 5 (enero de 2020): eaay2378. http://dx.doi.org/10.1126/sciadv.aay2378.
Texto completoVelichko, Andrei. "Neural Network for Low-Memory IoT Devices and MNIST Image Recognition Using Kernels Based on Logistic Map". Electronics 9, n.º 9 (2 de septiembre de 2020): 1432. http://dx.doi.org/10.3390/electronics9091432.
Texto completoAfrooz, Sonia y Nima Jafari Navimipour. "Memory Designing Using Quantum-Dot Cellular Automata: Systematic Literature Review, Classification and Current Trends". Journal of Circuits, Systems and Computers 26, n.º 12 (agosto de 2017): 1730004. http://dx.doi.org/10.1142/s0218126617300045.
Texto completoKyriakos, Angelos, Elissaios-Alexios Papatheofanous, Charalampos Bezaitis y Dionysios Reisis. "Resources and Power Efficient FPGA Accelerators for Real-Time Image Classification". Journal of Imaging 8, n.º 4 (15 de abril de 2022): 114. http://dx.doi.org/10.3390/jimaging8040114.
Texto completoHuang, Kaizhi, Xinglu Li, Shaoyu Wang, Zengchao Geng y Ge Niu. "RFID Scheme for IoT Devices Based on LSTM-CNN". Journal of Sensors 2022 (18 de noviembre de 2022): 1–9. http://dx.doi.org/10.1155/2022/8122815.
Texto completoTasci, Mustafa, Ayhan Istanbullu, Selahattin Kosunalp, Teodor Iliev, Ivaylo Stoyanov y Ivan Beloev. "An Efficient Classification of Rice Variety with Quantized Neural Networks". Electronics 12, n.º 10 (18 de mayo de 2023): 2285. http://dx.doi.org/10.3390/electronics12102285.
Texto completoAbu Abu Doush, Iyad y Sanaa Jarrah. "Accessible Interface for Context Awareness in Mobile Devices for Users With Memory Impairment". International Journal of Biomedical and Clinical Engineering 8, n.º 2 (julio de 2019): 1–30. http://dx.doi.org/10.4018/ijbce.2019070101.
Texto completoLiu, Xufei. "A Novel ECG Automatic Detection Using LongShort-Term Memory Network and Internet of Things Technology". Journal of Medical Imaging and Health Informatics 11, n.º 6 (1 de junio de 2021): 1592–98. http://dx.doi.org/10.1166/jmihi.2021.3684.
Texto completoDeshmukh, Akshata y Dr Tanuja Pattanshetti. "Deep Learning Technique to Identify the Malicious Traffic in Fog based IoT Networks". International Journal of Innovative Technology and Exploring Engineering 11, n.º 8 (30 de julio de 2022): 59–66. http://dx.doi.org/10.35940/ijitee.h9179.0711822.
Texto completoWang, Yajie, Xiaomei Zhang y Haomin Hu. "Continuous User Authentication on Multiple Smart Devices". Information 14, n.º 5 (5 de mayo de 2023): 274. http://dx.doi.org/10.3390/info14050274.
Texto completoAjerla, Dharmitha, Sazia Mahfuz y Farhana Zulkernine. "A Real-Time Patient Monitoring Framework for Fall Detection". Wireless Communications and Mobile Computing 2019 (22 de septiembre de 2019): 1–13. http://dx.doi.org/10.1155/2019/9507938.
Texto completoZhang, Hai-Tian, Tae Joon Park, A. N. M. Nafiul Islam, Dat S. J. Tran, Sukriti Manna, Qi Wang, Sandip Mondal et al. "Reconfigurable perovskite nickelate electronics for artificial intelligence". Science 375, n.º 6580 (4 de febrero de 2022): 533–39. http://dx.doi.org/10.1126/science.abj7943.
Texto completoGong, An, Xingyu Zhang, Yu Wang, Yongan Zhang y Mengyan Li. "Hybrid Data Augmentation and Dual-Stream Spatiotemporal Fusion Neural Network for Automatic Modulation Classification in Drone Communications". Drones 7, n.º 6 (25 de mayo de 2023): 346. http://dx.doi.org/10.3390/drones7060346.
Texto completoFeng, Kai, Xitian Pi, Hongying Liu y Kai Sun. "Myocardial Infarction Classification Based on Convolutional Neural Network and Recurrent Neural Network". Applied Sciences 9, n.º 9 (7 de mayo de 2019): 1879. http://dx.doi.org/10.3390/app9091879.
Texto completoAndreadis, Alessandro, Giovanni Giambene y Riccardo Zambon. "Monitoring Illegal Tree Cutting through Ultra-Low-Power Smart IoT Devices". Sensors 21, n.º 22 (16 de noviembre de 2021): 7593. http://dx.doi.org/10.3390/s21227593.
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 completoAbubakar, Adamu, Teddy Mantoro, Sardjoeni Moedjiono, Media Anugerah Ayu, Haruna Chiroma, Ahmad Waqas, Shafi’i Muhammad Abdulhamid, Mukhtar Fatihu Hamza y Abdulsalam Ya'u Gital. "A Support Vector Machine Classification of Computational Capabilities of 3D Map on Mobile Device for Navigation Aid". International Journal of Interactive Mobile Technologies (iJIM) 10, n.º 3 (26 de julio de 2016): 4. http://dx.doi.org/10.3991/ijim.v10i3.5056.
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