Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Rupesh Raj Karn"'
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 31, Iss 1, Pp 71-78 (2022)
Head pose estimation is used in a variety of human computer interface applications, like stare tracking, driving assistance, impaired assistance, and entertainment. Advances in convolutional neural networks have a considerable improvement in the perf
Externí odkaz:
https://doaj.org/article/d9f7bfa58d10458b974fdc09020389ea
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 31, Iss 1, Pp 79-88 (2022)
Microservices technology has gained considerable popularity in software design to deploy complex applications in the form of micro-modular microservice components. Each service is implemented as an autonomous system, and its internal constituent data
Externí odkaz:
https://doaj.org/article/74f95ddddaf348af915cd29784c54aa6
Publikováno v:
IEEE Access, Vol 9, Pp 137042-137062 (2021)
Progressive learning addresses the problem of incrementally learning new tasks without compromising the prediction accuracy of previously learned tasks. In the context of artificial neural networks, several algorithms exist for achieving the progress
Externí odkaz:
https://doaj.org/article/57d02985b9914c51bea53824df85e857
Publikováno v:
2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8e8d7aca851692f5033e104cf4663a1
https://doi.org/10.1109/icecta57148.2022.9990202
https://doi.org/10.1109/icecta57148.2022.9990202
Publikováno v:
2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df1b8a3b05f5c43693fc1106e0ce879b
https://doi.org/10.1109/vlsi-soc54400.2022.9939567
https://doi.org/10.1109/vlsi-soc54400.2022.9939567
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 32:674-691
The use of containers in cloud computing has been steadily increasing. With the emergence of Kubernetes, the management of applications inside containers (or pods) is simplified. Kubernetes allows automated actions like self-healing, scaling, rolling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3b2a0c89cc72dbab06a6b9eebada46e
https://doi.org/10.1109/tpds.2020.3029088
https://doi.org/10.1109/tpds.2020.3029088
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 30:1052-1064
Cloud network monitoring data is dynamic and distributed. Signals to monitor the cloud can appear, disappear or change their importance and clarity over time. Machine learning (ML) models tuned to a given data set can therefore quickly become inadequ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a56f0d4147451dee8f684c6a3c1ef936
https://doi.org/10.1109/tpds.2018.2876844
https://doi.org/10.1109/tpds.2018.2876844
Publikováno v:
ISCAS
Task progressive learning is often required where the training data become available in batches over the time. Such learning has the characteristic of using an existing model trained over a set of tasks to learn a new task while maintaining the accur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a34f18f91164e0fdf6b3607e7156ba9
https://doi.org/10.1109/iscas45731.2020.9181240
https://doi.org/10.1109/iscas45731.2020.9181240
Publikováno v:
ICCC
Task progressive learning without catastrophic forgetting using artificial neural networks (ANNs) has demonstrated viability and promise. Due to the large number of ANN hyper-parameters, a model already trained over a group of tasks can further learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::436fb5b66f28425c105b9dac8cd3eb87
https://doi.org/10.1109/iccc.2019.00027
https://doi.org/10.1109/iccc.2019.00027
Autor:
Rupesh Raj Karn, Ibrahim M. Elfadel
Publikováno v:
Machine Learning in VLSI Computer-Aided Design ISBN: 9783030046651
The use of performance counters (PCs) to develop per-core power and thermal proxies for multicore processors is now well established. These proxies are typically obtained using traditional linear regression techniques. These techniques have the disad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f65d77c2d62a3a16f0a36f6892da38bb
https://doi.org/10.1007/978-3-030-04666-8_19
https://doi.org/10.1007/978-3-030-04666-8_19
