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Material Type: Artigo
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Exergy model of the human heartMady, Carlos Eduardo Keutenedjian, 1984- Universidade Estadual de Campinas (Unicamp); Universidade Estadual De CampinasMADY, Carlos Eduardo Keutenedjian. Exergy model of the human heart. Energy. London : Elsevier, 2016.. Vol. 117 (Dec., 2016), p. 612-619. Disponível em: https://hdl.handle.net/20.500.12733/1653771. Acesso em: 14 jun. 2024.2016Acesso online |
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Material Type: Artigo
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A Survey on Evolutionary Neural Architecture SearchLiu, Yuqiao ; Sun, Yanan ; Xue, Bing ; Zhang, Mengjie ; Yen, Gary G. ; Tan, Kay ChenIEEE transaction on neural networks and learning systems, 2023-02, Vol.34 (2), p.550-570United States: IEEETexto completo disponível |
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Material Type: Artigo
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Deep Federated Learning Enhanced Secure POI Microservices for Cyber-Physical SystemsGuo, Zhiwei ; Yu, Keping ; Lv, Zhihan ; Choo, Kim-Kwang Raymond ; Shi, Peng ; Rodrigues, Joel J. P. C.IEEE wireless communications, 2022-04, Vol.29 (2), p.22-29 [Periódico revisado por pares]New York: IEEETexto completo disponível |
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Material Type: Ata de Congresso
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End-To-End Multi-Task Learning With AttentionLiu, Shikun ; Johns, Edward ; Davison, Andrew J.2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.1871-1880IEEESem texto completo |
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Material Type: Ata de Congresso
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In-datacenter performance analysis of a tensor processing unitJouppi, Norman P. ; Borchers, Al ; Boyle, Rick ; Cantin, Pierre-luc ; Chao, Clifford ; Clark, Chris ; Coriell, Jeremy ; Daley, Mike ; Dau, Matt ; Dean, Jeffrey ; Gelb, Ben ; Young, Cliff ; Ghaemmaghami, Tara Vazir ; Gottipati, Rajendra ; Gulland, William ; Hagmann, Robert ; Ho, C. Richard ; Hogberg, Doug ; Hu, John ; Hundt, Robert ; Hurt, Dan ; Ibarz, Julian ; Patil, Nishant ; Jaffey, Aaron ; Jaworski, Alek ; Kaplan, Alexander ; Khaitan, Harshit ; Killebrew, Daniel ; Koch, Andy ; Kumar, Naveen ; Lacy, Steve ; Laudon, James ; Law, James ; Patterson, David ; Le, Diemthu ; Leary, Chris ; Liu, Zhuyuan ; Lucke, Kyle ; Lundin, Alan ; MacKean, Gordon ; Maggiore, Adriana ; Mahony, Maire ; Miller, Kieran ; Nagarajan, Rahul ; Agrawal, Gaurav ; Narayanaswami, Ravi ; Ni, Ray ; Nix, Kathy ; Norrie, Thomas ; Omernick, Mark ; Penukonda, Narayana ; Phelps, Andy ; Ross, Jonathan ; Ross, Matt ; Salek, Amir ; Bajwa, Raminder ; Samadiani, Emad ; Severn, Chris ; Sizikov, Gregory ; Snelham, Matthew ; Souter, Jed ; Steinberg, Dan ; Swing, Andy ; Tan, Mercedes ; Thorson, Gregory ; Tian, Bo ; Bates, Sarah ; Toma, Horia ; Tuttle, Erick ; Vasudevan, Vijay ; Walter, Richard ; Wang, Walter ; Wilcox, Eric ; Yoon, Doe Hyun ; Bhatia, Suresh ; Boden, Nan2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture (ISCA), 2017, p.1-12ACMSem texto completo |
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Material Type: Artigo
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Efficient Architecture Search for Continual LearningGao, Qiang ; Luo, Zhipeng ; Klabjan, Diego ; Zhang, FengliIEEE transaction on neural networks and learning systems, 2023-11, Vol.34 (11), p.8555-8565United States: IEEETexto completo disponível |
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Material Type: Artigo
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An Energy-Efficient Architecture for Binary Weight Convolutional Neural NetworksWang, Yizhi ; Lin, Jun ; Wang, ZhongfengIEEE transactions on very large scale integration (VLSI) systems, 2018-02, Vol.26 (2), p.280-293 [Periódico revisado por pares]IEEETexto completo disponível |
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Material Type: Artigo
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Object Detection With Deep Learning: A ReviewZhao, Zhong-Qiu ; Zheng, Peng ; Xu, Shou-Tao ; Wu, XindongIEEE transaction on neural networks and learning systems, 2019-11, Vol.30 (11), p.3212-3232United States: IEEETexto completo disponível |
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Material Type: Artigo
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Deep Learning Prior Model for Unsupervised Seismic Data Random Noise AttenuationQiu, Chenyu ; Wu, Bangyu ; Liu, Naihao ; Zhu, Xu ; Ren, HaoranIEEE geoscience and remote sensing letters, 2022, Vol.19, p.1-5 [Periódico revisado por pares]Piscataway: IEEETexto completo disponível |
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Material Type: Ata de Congresso
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DyTox: Transformers for Continual Learning with DYnamic TOken eXpansionDouillard, Arthur ; Rame, Alexandre ; Couairon, Guillaume ; Cord, Matthieu2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.9275-9285IEEESem texto completo |