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ReMember: Using Biosignals to Recall Memories of Companion Animals.

, , , , , , и . Proc. ACM Comput. Graph. Interact. Tech., 4 (2): 29:1-29:7 (2021)

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Soonil Bae

Han Bae

Jun-Sang Bae

Jin-Woo Bae

Young-bae Song

 

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ReMember: Using Biosignals to Recall Memories of Companion Animals., , , , , , и . Proc. ACM Comput. Graph. Interact. Tech., 4 (2): 29:1-29:7 (2021)Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks., , , , , , , , и . CoRR, (2019)Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads., , , , и . MEMSYS, стр. 194-208. ACM, (2020)Memory Abstraction and Optimization for Distributed Executors., , , , , и . CIC, стр. 78-87. IEEE, (2020)RDMAbox : Optimizing RDMA for Memory Intensive Workloads., , , , и . CoRR, (2021)Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems., , , , , , , и . TPS-ISA, стр. 263-272. IEEE, (2020)Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks., , , , , , , , и . IEEE BigData, стр. 1971-1980. IEEE, (2019)Classification of Driving Behavior Events Utilizing Kinematic Classification and Machine Learning for Down Sampled Time Series Data., , , , , и . IEEE BigData, стр. 3789-3796. IEEE, (2019)Transparent Network Memory Storage for Efficient Container Execution in Big Data Clouds., , , , , и . IEEE BigData, стр. 76-85. IEEE, (2021)Distributed services with elastic container memory abstractions for big data clouds.. Georgia Institute of Technology, Atlanta, GA, USA, (2023)base-search.net (ftgeorgiatech:oai:repository.gatech.edu:1853/72456).