Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Amar Prakash Azad"'
Publikováno v:
EAI Endorsed Transactions on Mobile Communications and Applications, Vol 1, Iss 3, Pp 1-14 (2013)
Delay Tolerant Networks (DTNs) are an emerging type of networks which do not need a predefined infrastructure. In fact, data forwarding in DTNs relies on the contacts among nodes which may possess different features, radio range, battery consumption
Externí odkaz:
https://doaj.org/article/8a1eb2f5a8df45cda17c0835f64d26d0
Autor:
Amar Prakash Azad, Supriyo Ghosh, Ajay Gupta, Harshit Kumar, Prateeti Mohapatra, Lena Eckstein, Leonard Posner, Robert Kern
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:12440-12446
Site Reliability Engineers (SREs) play a key role in identifying the cause of an issue and preforming remediation steps to resolve it. After an issue is reported, SREs come together in a virtual room (collaboration platform) to triage the issue. Whil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4be3d9950b018b21796d766af87b897e
https://doi.org/10.1609/aaai.v36i11.21510
https://doi.org/10.1609/aaai.v36i11.21510
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90b48f8f841c8a987a6c932239b7ce3e
https://doi.org/10.1109/bigdata55660.2022.10020746
https://doi.org/10.1109/bigdata55660.2022.10020746
Publikováno v:
CLOUD
Change is one of the biggest contributors to service outages. With more enterprises migrating their applications to cloud and using automated build and deployment the volume and rate of changes has significantly increased. Furthermore, microservice-b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::adb358bc87cc450e7f1afd2199525dd9
https://doi.org/10.1109/cloud53861.2021.00025
https://doi.org/10.1109/cloud53861.2021.00025
Publikováno v:
COMAD/CODS
The goal behind Domain Adaptation (DA) is to leverage the labeled examples from a source domain to infer an accurate model for a target domain where labels are not available or in scarce at the best. Recently, there has been a surge in adversarial le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6969d2a653ffc4a6ed6b6f7cf0df46c3
https://doi.org/10.1145/3430984.3431017
https://doi.org/10.1145/3430984.3431017
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783030757670
PAKDD (3)
PAKDD (3)
Transformer-based models, such as GPT-2, have revolutionized the landscape of dialogue generation by capturing the long-range structures through language modeling. Though these models have exhibited excellent language coherence, they often lack relev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d4351ceb7ca8fcd03056a42dd2ffa1e
https://doi.org/10.1007/978-3-030-75768-7_23
https://doi.org/10.1007/978-3-030-75768-7_23
The sudden widespread menace created by the present global pandemic COVID-19 has had an unprecedented effect on our lives. Man-kind is going through humongous fear and dependence on social media like never before. Fear inevitably leads to panic, spec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22b7e4d4f38e8e436a77f620623842f8
http://arxiv.org/abs/2010.06906
http://arxiv.org/abs/2010.06906
Publikováno v:
AAAI
We propose a novel framework for controllable natural language transformation. Realizing that the requirement of parallel corpus is practically unsustainable for controllable generation tasks, an unsupervised training scheme is introduced. The crux o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d623008f58473505f17fdc701b5d73a7
http://arxiv.org/abs/1809.04556
http://arxiv.org/abs/1809.04556
Autor:
Saneem A. Chemmengath, Shivkumar Kalyanaraman, Amar Prakash Azad, Vikas C. Raykar, Sachin Mehta
Publikováno v:
WACV
The impact of soiling on solar panels is an important and well-studied problem in renewable energy sector. In this paper, we present the first convolutional neural network (CNN) based approach for solar panel soiling and defect analysis. Our approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07f851c4438f94e30aea5e7f6b59a36e
https://doi.org/10.1109/wacv.2018.00043
https://doi.org/10.1109/wacv.2018.00043
Publikováno v:
ISGT
Condition monitoring and forecasting applications require accurate PV models that can predict power from weather parameters. However PV output is also dependent on the potentially suboptimal behavior of the MPPT controller, which can introduce both i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::260a0aafb56a2e3d1a2d8c1c0c4219ce
https://doi.org/10.1109/isgt.2018.8403327
https://doi.org/10.1109/isgt.2018.8403327