Wireless Information Systems and Computational Architectures (WISCA)

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Solar cells Engineering & Materials Science
Silicon Chemical Compounds
Heterojunctions Engineering & Materials Science
Radar Engineering & Materials Science
Communication Engineering & Materials Science
Silicon solar cells Engineering & Materials Science
solar cells Physics & Astronomy
Amorphous silicon Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1991 2019

A Deep Q-Learning Approach for Dynamic Management of Heterogeneous Processors

Gupta, U., Mandal, S. K., Mao, M., Chakrabarti, C. & Ogras, U., Jan 1 2019, (Accepted/In press) In : IEEE Computer Architecture Letters.

Research output: Contribution to journalArticle

Reinforcement learning
Electric power utilization

A simple steady-state analysis of load balancing algorithms in the sub-Halfin-Whitt regime

Liu, X. & Ying, L., Jan 17 2019, In : Performance Evaluation Review. 46, 2, p. 15-17 3 p.

Research output: Contribution to journalConference article

Resource allocation

Cooperative Radar and Communications Coexistence Using Reinforcement Learning

Ma, O., Chiriyath, A. R., Herschfelt, A. & Bliss, D., Feb 19 2019, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. Matthews, M. B. (ed.). IEEE Computer Society, p. 947-951 5 p. 8645080. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reinforcement learning
Electronic circuit tracking
Network management