Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Nipun Batra"'
Autor:
Rishiraj Adhikary, Dhruvi Lodhavia, Chris Francis, Rohit Patil, Tanmay Srivastava, Prerna Khanna, Nipun Batra, Joseph Breda, Jacob Peplinski, Shwetak Patel
Publikováno v:
ACM Transactions on Computing for Healthcare. 4:1-34
According to the World Health Organisation (WHO), 235 million people suffer from respiratory illnesses and four million people die annually due to air pollution. Regular lung health monitoring can lead to prognoses about deteriorating lung health con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de542594264f865b194c79366b374b4e
https://doi.org/10.1145/3570167
https://doi.org/10.1145/3570167
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:12080-12088
Air pollution is a global problem and severely impacts human health. Fine-grained air quality (AQ) monitoring is important in mitigating air pollution. However, existing AQ station deployments are sparse. Conventional interpolation techniques fail to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de318007c66218961556f12649eb5a4a
https://doi.org/10.1609/aaai.v36i11.21467
https://doi.org/10.1609/aaai.v36i11.21467
Publikováno v:
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3de0183d3aa59eb32cb01c026ea2fa0
https://doi.org/10.1145/3563357.3564063
https://doi.org/10.1145/3563357.3564063
Publikováno v:
Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e2de3484a03d1683e8fd03326fbf443
https://doi.org/10.1145/3544793.3560348
https://doi.org/10.1145/3544793.3560348
Publikováno v:
ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8af60d82eabf74af8fa49fd5128f683c
https://doi.org/10.1145/3530190.3534812
https://doi.org/10.1145/3530190.3534812
Autor:
Zeel B. Patel, Rishiraj Adhikary, Udit Bhatia, Mayank Singh, Tanmay Srivastava, Sarath Guttikunda, Nipun Batra
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 5:1-29
Air pollution is a global challenge for cities across the globe. Understanding the public perception of air pollution can help policymakers engage better with the public and appropriately introduce policies. Accurate public perception can also help p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::213f8fcb11973aa8850e75f32d687924
https://doi.org/10.1145/3449170
https://doi.org/10.1145/3449170
Publikováno v:
5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::918a7e39cfd31bd26045c5db3ffe1f30
https://doi.org/10.1145/3493700.3493721
https://doi.org/10.1145/3493700.3493721
Air pollution kills around 7 million people annually, and approximately 2.4 billion people are exposed to hazardous air pollution. Accurate, fine-grained air quality (AQ) monitoring is essential to control and reduce pollution. However, AQ station de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ef06cf0c9c038e39a24bf86e2ef4ac3
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811690075
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fe613b3e656ae2ecaec3c880e7b5570
https://doi.org/10.1007/978-981-16-9008-2_31
https://doi.org/10.1007/978-981-16-9008-2_31
Autor:
Shaurya Agarawal, Ronak Kaoshik, Utsav Jethva, Nipun Batra, Ritik Dutta, Rohit Patil, Harshil Jain
Publikováno v:
COMAD/CODS
Deep learning-based innovations, particularly GANs, have recently shown great success in fashion modelling for various use cases such as pose and face generation. A famous work, FashionGAN[1], can generate images with modified clothing as per natural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6d5337343aa38a3b4b6d438d4a9b214
https://doi.org/10.1145/3430984.3431057
https://doi.org/10.1145/3430984.3431057