Eric Samikwa

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Machine Learning

Top Venues

IEEE Internet Things J.

iThings/GreenCom/CPSCom/SmartData/Cybermatics

Publications

Eric Samikwa, Antonio Di Maio, Torsten Braun
DISNET: Distributed Micro-Split Deep Learning in Heterogeneous Dynamic IoT. IEEE Internet Things J. 11 (4) (2024)
Haitham Afifi, Sabrina Pochaba, Andreas Boltres, Dominic Laniewski, Janek Haberer, Leonard Paeleke, Reza Poorzare, Daniel Stolpmann, Nikolas Wehner, Adrian Redder, Eric Samikwa, Michael Seufert
Machine Learning With Computer Networks: Techniques, Datasets, and Models. IEEE Access 12 (2024)
Eric Samikwa, Jakob Schärer, Torsten Braun, Antonio Di Maio
Machine Learning-based Energy Optimisation in Smart City Internet of Things. MobiHoc (2023)
Dimitris Xenakis, Eric Samikwa, Jesutofunmi Ajayi, Antonio Di Maio, Torsten Braun, Katja Schlegel
Towards Personality Detection and Prediction using Smartphone Sensor Data. MedComNet (2023)
Eric Samikwa, Antonio Di Maio, Torsten Braun
Adaptive Early Exit of Computation for Energy-Efficient and Low-Latency Machine Learning over IoT Networks. CCNC (2022)
Eric Samikwa, Antonio Di Maio, Torsten Braun
ARES: Adaptive Resource-Aware Split Learning for Internet of Things. Comput. Networks 218 (2022)
Eric Samikwa, Thiemo Voigt, Joakim Eriksson
Flood Prediction Using IoT and Artificial Neural Networks with Edge Computing. iThings/GreenCom/CPSCom/SmartData/Cybermatics (2020)