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pro vyhledávání: '"Anand, Gaurangi"'
Autor:
Anand, Gaurangi, Nayak, Richi
Time-series data is generated ubiquitously from Internet-of-Things (IoT) infrastructure, connected and wearable devices, remote sensing, autonomous driving research and, audio-video communications, in enormous volumes. This paper investigates the pot
Externí odkaz:
http://arxiv.org/abs/2111.10309
Autor:
Anand, Gaurangi, Koniusz, Piotr, Kumar, Anupama, Golding, Lisa A., Morgan, Matthew J., Moghadam, Peyman
Publikováno v:
In Journal of Hazardous Materials 5 July 2024 472
Visual place recognition is challenging because there are so many factors that can cause the appearance of a place to change, from day-night cycles to seasonal change to atmospheric conditions. In recent years a large range of approaches have been de
Externí odkaz:
http://arxiv.org/abs/2006.05700
Autor:
Malhotra, Pankaj, TV, Vishnu, Ramakrishnan, Anusha, Anand, Gaurangi, Vig, Lovekesh, Agarwal, Puneet, Shroff, Gautam
Many approaches for estimation of Remaining Useful Life (RUL) of a machine, using its operational sensor data, make assumptions about how a system degrades or a fault evolves, e.g., exponential degradation. However, in many domains degradation may no
Externí odkaz:
http://arxiv.org/abs/1608.06154
Autor:
Malhotra, Pankaj, Ramakrishnan, Anusha, Anand, Gaurangi, Vig, Lovekesh, Agarwal, Puneet, Shroff, Gautam
Mechanical devices such as engines, vehicles, aircrafts, etc., are typically instrumented with numerous sensors to capture the behavior and health of the machine. However, there are often external factors or variables which are not captured by sensor
Externí odkaz:
http://arxiv.org/abs/1607.00148