24,092 research outputs found
Dasaset supporting the publication "Late Breaking Results: Adaptive Ensembles of Dynamic DNNs for Collaborative Edge Inference"
No full textThis dataset supports the publication: "Late Breaking Results: Adaptive Ensembles of Dynamic DNNs for Collaborative Edge Inference" by Mingyu Hu, Amit Kumar Singh, Jonathon Hare, Geoff V. Merrett.
CONFERENCE: Design, Automation and Test in Europe Conference 2026
This dataset includes the experimental results for:
Figure 3: Results of Ensemble accuracy from different combinations of 4 model instance of Dynamic ResNet-18.
Figure 4: Comparison of inference latency with different methods under different deadlines.
Figure 5: Comparison of inference accuracy with different methods under different deadlines.</span
Dataset supporting the conference paper "Fluid dynamic DNNs for reliable and adaptive distributed inference on edge devices"
No full textThis dataset supports the publication:
"Fluid Dynamic DNNs for Reliable and Adaptive Distributed Inference on Edge Devices" by Lei Xun, Mingyu Hu, Hengrui Zhao, Amit Kumar Singh, Jonathon Hare, Geoff V. Merrett
CONFERENCE: Design, Automation and Test in Europe Conference 2024
This dataset includes the experimental results for Figure 2 of the paper, showing the throughput and accuracy of the different models (static, dynamic and fluid) considered under different distributed-system cases (master & worker, master, worker).
This dataset contains:
-'data.csv': Data supporting Fig. 2. The throughput and accuracy of the different models (static, dynamic and fluid) considered under different distributed-system cases (master & worker, master, worker).
Related projects: International Centre for Spatial Computational Learning
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Structural and dynamical insights on HLA-DRB1: peptide complexes which confer resistance and susceptibility to multiple sclerosis in sardinia: a molecular dynamics simulation study
No full textDynamical footprint of cross-reactivity in a human autoimmune T-cell receptor
No full textThe present work focuses on the dynamical aspects of cross-reactivity between myelin based protein (MBP) self-peptide and two microbial peptides (UL15, PMM) for Hy.1B11 T-cell receptor (TCR). This same TCR was isolated from a patient suffering from multiple sclerosis (MS). The study aims at highlighting the chemical interactions underlying recognition mechanisms between TCR and the peptides presented by Major Histocompatibility Complex (MHC) proteins, which form a crucial component in adaptive immune response against foreign antigens. Since the ability of a TCR to recognize different peptide antigens presented by MHC depends on its cross-reactivity, we used molecular dynamics methods to obtain atomistic detail on TCR-peptide-MHC complexes. Our results show how the dynamical basis of Hy.1B11 TCR's cross-reactivity is rooted in a similar bridging interaction pattern across the TCR-peptide-MHC interface. Our simulations confirm the importance of TCR CDR3α E98 residue interaction with MHC and a predominant role of P6 peptide residue in MHC binding affinity. Altogether, our study provides energetic and dynamical insights into factors governing peptide recognition by the cross-reactive Hy.1B11 TCR, found in MS patient
KumarSupplementalMaterial_rev – Supplemental material for Undervaluing Gratitude: Expressers Misunderstand the Consequences of Showing Appreciation
No full textSupplemental material, KumarSupplementalMaterial_rev for Undervaluing Gratitude: Expressers Misunderstand the Consequences of Showing Appreciation by Amit Kumar and Nicholas Epley in Psychological Science</p
KumarOpenPracticesDisclosure_rev – Supplemental material for Undervaluing Gratitude: Expressers Misunderstand the Consequences of Showing Appreciation
No full textSupplemental material, KumarOpenPracticesDisclosure_rev for Undervaluing Gratitude: Expressers Misunderstand the Consequences of Showing Appreciation by Amit Kumar and Nicholas Epley in Psychological Science</p
sj-docx-1-pie-10.1177_09544089221139102 - Supplemental material for Experimental and theoretical analyses of material removal in poppet valve magnetorheological finishing
No full textSupplemental material, sj-docx-1-pie-10.1177_09544089221139102 for Experimental and theoretical analyses of material removal in poppet valve magnetorheological finishing by Manjesh Kumar, Chandan Kumar, Amit Kumar, Debashish Gogoi and Manas Das in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
sj-docx-2-pie-10.1177_09544089221139102 - Supplemental material for Experimental and theoretical analyses of material removal in poppet valve magnetorheological finishing
No full textSupplemental material, sj-docx-2-pie-10.1177_09544089221139102 for Experimental and theoretical analyses of material removal in poppet valve magnetorheological finishing by Manjesh Kumar, Chandan Kumar, Amit Kumar, Debashish Gogoi and Manas Das in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
Microscale Dynamics in Suspensions of Non-Spherical Particles
No full textSubmitted by Amit Kumar ([email protected]) on 2010-05-13T20:29:09Z
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