collaborators

5 papers

cs.CV2026

Feature extraction for plant growth estimation

Simbarashe Aldrin Ngorima, Albert Helberg, Marelie H. Davel

Precision agriculture requires the estimation of plant growth stages in real-time. When the plant growth stage is known, the wastage of resources in cultivation, such as nutrients…

eess.SP2026

REACH: Interpretability-Driven Feature Identification and Architecture Compression for Multi-Channel Vehicular Channel Estimation

Simbarashe Aldrin Ngorima, Albert Helberg, Marelie H. Davel

Multi-channel mixed-SNR training improves out-of-distribution (OOD) generalisation of deep learning channel estimators for IEEE 802.11p vehicular communications, yet the internal m…

eess.SP2026

Simplified Temporal Convolutional-Based Channel Estimation for a WiFi Vehicular Communication Channel

Simbarashe Aldrin Ngorima, Albert Helberg, Marelie Davel

Channel estimation in vehicular communication is a crucial element in the advancement of intelligent transportation systems. However, the use of pilot signals in the IEEE 802.11p s…

cs.LG2025

Neural Network-based Vehicular Channel Estimation Performance: Effect of Noise in the Training Set

Simbarashe Aldrin Ngorima, Albert Helberg, Marelie H. Davel

Vehicular communication systems face significant challenges due to high mobility and rapidly changing environments, which affect the channel over which the signals travel. To addre…

eess.SP2025

A Data Pilot-Aided Temporal Convolutional Network for Channel Estimation in IEEE 802.11p Vehicle-to-Vehicle Communications

Simbarashe Aldrin Ngorima, Albert Helberg, Marelie H. Davel

In modern communication systems, having an accurate channel estimator is crucial. However, when there is mobility, it becomes difficult to estimate the channel and the pilot signal…