Research topics:
• Real-Time Systems
• Model-based Design Methodologies
• Energy Management

Datasets from the CPS@NTU research group in the School of Computer Science and Engineering

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101 to 110 of 159 Results
test8.tar.xz
Jul 3, 2024 - Replication Data for: Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems
XZ Archive - 955.4 MB - MD5: 6ba6d8072ed401dd5582d510ce18f759
test9.tar.xz
Jul 3, 2024 - Replication Data for: Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems
XZ Archive - 962.4 MB - MD5: 659b35ee520bb418baee4fb80043967c
train.tar.xz
Jul 3, 2024 - Replication Data for: Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems
XZ Archive - 4.5 GB - MD5: e743df8c222394e2701ef39628b4a3fa
val.tar.xz
Jul 3, 2024 - Replication Data for: Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems
XZ Archive - 1.5 GB - MD5: 2fbcc919f84d6383cd3f56df99bff739
Replication Data for: Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems
Jul 2, 2024 - Safe ML
Yuhas, Michael; Ng, Daniel Jun Xian; Easwaran, Arvind, 2024, "Replication Data for: Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems", https://doi.org/10.21979/N9/UZY54Q, DR-NTU (Data), V1
Replication Data for: Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems
calibration.tar.xz
Jul 2, 2024 - Replication Data for: Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems
XZ Archive - 140.5 MB - MD5: 9e10fc932878e1ab0903dc56bcd9916c
README.md
Jul 2, 2024 - Replication Data for: Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems
Markdown Text - 3.6 KB - MD5: 7b09ce68bb17fea19675c4a09af60885
test.tar.xz
Jul 2, 2024 - Replication Data for: Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems
XZ Archive - 706.2 MB - MD5: 03539df8d06d419a2e9b35f01dc686f7
train.tar.xz
Jul 2, 2024 - Replication Data for: Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems
XZ Archive - 3.3 GB - MD5: f6c17b790f45caeab157982fb374c980
Replication Data for: Out of Distribution Reasoning by Weakly-Supervised Disentangled Logic Variational Autoencoder
Jul 1, 2024 - Safe ML
Yuhas, Michael; Rahiminasab, Zahra; Easwaran, Arvind, 2024, "Replication Data for: Out of Distribution Reasoning by Weakly-Supervised Disentangled Logic Variational Autoencoder", https://doi.org/10.21979/N9/0YI4HT, DR-NTU (Data), V1
Replication Data for: Out of Distribution Reasoning by Weakly-Supervised Disentangled Logic Variational Autoencoder
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