Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sindhu Padakandla"'
Publikováno v:
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56657d038f0035cbd387077f6620298e
https://doi.org/10.1109/smc53654.2022.9945313
https://doi.org/10.1109/smc53654.2022.9945313
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 22:107-118
This paper presents our method for enabling a UAV quadrotor, equipped with a monocular camera, to autonomously avoid collisions with obstacles in unstructured and unknown indoor environments. When compared to obstacle avoidance in ground vehicular ro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::daba209a03f9a80b6b187e3158086a7c
https://doi.org/10.1109/tits.2019.2954952
https://doi.org/10.1109/tits.2019.2954952
Publikováno v:
Applied Intelligence. 50:3590-3606
Reinforcement learning (RL) methods learn optimal decisions in the presence of a stationary environment. However, the stationary assumption on the environment is very restrictive. In many real world problems like traffic signal control, robotic appli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53b8c6e1b6d921941cd91c4b4a8e5deb
https://doi.org/10.1007/s10489-020-01758-5
https://doi.org/10.1007/s10489-020-01758-5
Publikováno v:
PIMRC
We consider an industrial internet-of-things (IIoT) system with multiple IoT devices, a user equipment (UE), together with a base station (BS) that receives the UE and IoT data. To circumvent the issue of numerous IoT-to-BS connections and to conserv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::551a2cdb1dfd62a9ab2aafe6768a1182
https://doi.org/10.1109/pimrc48278.2020.9217170
https://doi.org/10.1109/pimrc48278.2020.9217170
Autor:
Sindhu Padakandla
Reinforcement learning (RL) algorithms find applications in inventory control, recommender systems, vehicular traffic management, cloud computing, and robotics. The real-world complications arising in these domains makes them difficult to solve with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac96cddbd930111b663e04d3da64974e
Publikováno v:
IEEE Transactions on Communications. 63:1811-1823
We consider the problem of finding optimal energy sharing policies that maximize the network performance of a system comprising of multiple sensor nodes and a single energy harvesting (EH) source. Sensor nodes periodically sense the random field and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccd61d70017324bc1e6873db76fa4272
https://doi.org/10.1109/tcomm.2015.2415777
https://doi.org/10.1109/tcomm.2015.2415777
Autor:
Sandeep Kumar, Shalabh Bhatnagar, Priyank Parihar, Kanchi Gopinath, Sindhu Padakandla, Chandrashekar Lakshminarayanan
Publikováno v:
IndraStra Global.
Hadoop MapReduce is a popular framework for distributed storage and processing of large datasets and is used for big data analytics. It has various configuration parameters which play an important role in deciding the performance i.e., the execution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::053d13b4abdf1639a96b7d9aeb8744d9
http://eprints.iisc.ac.in/59635/1/Ieee_InT_Con_Clo_Com_375_2017.pdf
http://eprints.iisc.ac.in/59635/1/Ieee_InT_Con_Clo_Com_375_2017.pdf
Publikováno v:
IndraStra Global.
We propose a simulation-based algorithm for computing the optimal pricing policy for a product under uncertain demand dynamics. We consider a parameterized stochastic differential equation (SDE) model for the uncertain demand dynamics of the product
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56b0eb53de0b5790dafc45096c855ab5
http://eprints.iisc.ac.in/49918/1/int_tra_ope_res_21-5_737_2014.pdf
http://eprints.iisc.ac.in/49918/1/int_tra_ope_res_21-5_737_2014.pdf