Bravura
发表于 2025-3-25 06:16:38
aterials.Includes supplementary material: .This volume covers all aspects of carbon and oxide based nanostructured materials. The topics include synthesis, characterization and application of carbon-based namely carbon nanotubes, carbon nanofibres, fullerenes, carbon filled composites etc. In additi
Canary
发表于 2025-3-25 08:47:24
Abdulsalam K. Alhazmi,Fatima Al-Hammadi,Ezzadeen Kaed,Athar Imtiazaterials.Includes supplementary material: .This volume covers all aspects of carbon and oxide based nanostructured materials. The topics include synthesis, characterization and application of carbon-based namely carbon nanotubes, carbon nanofibres, fullerenes, carbon filled composites etc. In additi
Exposition
发表于 2025-3-25 15:19:27
aterials.Includes supplementary material: .This volume covers all aspects of carbon and oxide based nanostructured materials. The topics include synthesis, characterization and application of carbon-based namely carbon nanotubes, carbon nanofibres, fullerenes, carbon filled composites etc. In additi
abolish
发表于 2025-3-25 16:18:14
Justin Bryce Torres,Josiah Eleazar Regencia,William Emmanuel S. Yuaterials.Includes supplementary material: .This volume covers all aspects of carbon and oxide based nanostructured materials. The topics include synthesis, characterization and application of carbon-based namely carbon nanotubes, carbon nanofibres, fullerenes, carbon filled composites etc. In additi
小口啜饮
发表于 2025-3-25 23:53:22
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Minutes
发表于 2025-3-26 00:44:33
An NMT-Based Approach to Translate Natural Language Questions to SPARQL Queries deep neural networks, Neural Machine Translation (NMT) models are employed to directly translate natural language questions into SPARQL queries in recent years. In this paper, we propose an NMT-based approach with Transformer model to generate SPARQL queries. Transformer model is chosen due to its
飞镖
发表于 2025-3-26 06:13:07
Efficient Training Convolutional Neural Networks on Edge Devices with Gradient-Pruned Sign-SymmetricHowever, the lack of training capability for edge devices significantly limits the energy efficiency of distributed learning in real life. This paper describes a novel approach of training DNNs exploiting the redundancy and the weight asymmetry potential of conventional back propagation. We demonstr
Entropion
发表于 2025-3-26 12:02:06
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茁壮成长
发表于 2025-3-26 13:15:02
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石墨
发表于 2025-3-26 19:45:32
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