Interpretable AI: Building explainable machine learning systems A Thampi Manning Publications Company, 2022 | 28 | 2022 |
A sparse sampling algorithm for self-optimisation of coverage in LTE networks A Thampi, D Kaleshi, P Randall, W Featherstone, S Armour 2012 International Symposium on Wireless Communication Systems (ISWCS), 909-913, 2012 | 21 | 2012 |
Physical-layer network coding in two-way heterogeneous cellular networks with power imbalance A Thampi, SC Liew, S Armour, Z Fan, L You, D Kaleshi IEEE, 2014 | 14 | 2014 |
Clustered network MIMO and fractional frequency reuse for the downlink in LTE-A systems A Thampi, S Armour, Z Fan, D Kaleshi European Wireless 2014; 20th European Wireless Conference, 1-6, 2014 | 6 | 2014 |
A logistic regression approach to location classification in OFDMA-based FFR systems A Thampi, S Armour, Z Fan, D Kaleshi World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2013 …, 2013 | 4 | 2013 |
Mitigating inter-cluster interference on the uplink for a three-cell clustered cooperative network A Thampi, S Armour, Z Fan, D Kaleshi EURASIP Journal on Wireless Communications and Networking 2016, 1-15, 2016 | 2 | 2016 |
A fast, offline reverse geocoder in Python A Thampi https://github.com/thampiman/reverse-geocoder, 2015 | 2 | 2015 |
Scalable cooperative communications in cellular networks A Thampi University of Bristol, 2016 | | 2016 |