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An architecture-level analysis on deep learning models for low-impact computations.

, , , , , and . Artif. Intell. Rev., 56 (3): 1971-2010 (March 2023)

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Performance Improvement of a Fiber-Reinforced Polymer Bar for a Reinforced Sea Sand and Seawater Concrete Beam in the Serviceability Limit State., , , and . Sensors, 19 (3): 654 (2019)A Comprehensive Analysis of Low-Impact Computations in Deep Learning Workloads., , , , , and . ACM Great Lakes Symposium on VLSI, page 385-390. ACM, (2021)An architecture-level analysis on deep learning models for low-impact computations., , , , , and . Artif. Intell. Rev., 56 (3): 1971-2010 (March 2023)Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area., , , , , and . CoRL, volume 229 of Proceedings of Machine Learning Research, page 1425-1436. PMLR, (2023)Machine learning-based real-time visible fatigue crack growth detection., , , , , and . Digit. Commun. Networks, 7 (4): 551-558 (2021)Prediction of highway asphalt pavement performance based on Markov chain and artificial neural network approach., , , and . J. Supercomput., 77 (2): 1354-1376 (2021)Research on The Control of Out-of-Round Wheel Profiles of High-Speed Railway Derived From Numerical Simulations., and . Int. J. Online Biomed. Eng., 9 (S6): 92-95 (2013)Research on the Current Status of Sparse Neural Network Acceleration Processing Technology in Deep Learning., and . CSAI, page 122-127. ACM, (2019)Vision-Based Framework for Automatic Progress Monitoring of Precast Walls by Using Surveillance Videos during the Construction Phase., , , , , , and . J. Comput. Civ. Eng., (2021)Interpretable Motion Planner for Urban Driving via Hierarchical Imitation Learning., , , , , , , and . IROS, page 1691-1696. (2023)