垄断 发表于 2025-3-23 11:07:34
Xiangying Huorameworks that target (mainly) far edge devices: TensorFlow Lite for MCUs, GLOW, and IREE. For a fair comparison, our performance analysis targets to reveal the performance benefits offered by the different optimization levels for the three studied frameworks as well as the strength of specific grap敌意 发表于 2025-3-23 16:39:19
Xiangying Huorameworks that target (mainly) far edge devices: TensorFlow Lite for MCUs, GLOW, and IREE. For a fair comparison, our performance analysis targets to reveal the performance benefits offered by the different optimization levels for the three studied frameworks as well as the strength of specific grap藐视 发表于 2025-3-23 20:59:38
http://reply.papertrans.cn/43/4269/426853/426853_13.pngesthetician 发表于 2025-3-24 01:53:16
Xiangying Huoor learning to predict physical disturbances in an iterative manner. We evaluate our approach using a freely available dataset from the broader domain of Predictive Maintenance research and show that our approach is able to build predictors with reasonable prediction quality autonomously.Defiance 发表于 2025-3-24 05:59:40
http://reply.papertrans.cn/43/4269/426853/426853_15.pngOrnament 发表于 2025-3-24 09:46:22
http://reply.papertrans.cn/43/4269/426853/426853_16.png生意行为 发表于 2025-3-24 11:12:29
http://reply.papertrans.cn/43/4269/426853/426853_17.png磨碎 发表于 2025-3-24 15:45:30
http://reply.papertrans.cn/43/4269/426853/426853_18.pngeuphoria 发表于 2025-3-24 23:00:53
http://reply.papertrans.cn/43/4269/426853/426853_19.png使激动 发表于 2025-3-25 02:22:27
978-3-030-60601-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl