3 papers
cs.LG2026
Optimisation of Resource Allocation in Heterogeneous Wireless Networks Using Deep Reinforcement Learning
Oluwaseyi Giwa, Jonathan Shock, Jaco Du Toit +1
Dynamic resource allocation in open radio access network (O-RAN) heterogeneous networks (HetNets) presents a complex optimisation challenge under varying user loads. We propose a n…
cs.CL2025
Combining Language and Topic Models for Hierarchical Text Classification
Jaco du Toit, Marcel Dunaiski
Hierarchical text classification (HTC) is a natural language processing task which has the objective of categorising text documents into a set of classes from a predefined structur…
cs.IR2024
Introducing Three New Benchmark Datasets for Hierarchical Text Classification
Jaco du Toit, Herman Redelinghuys, Marcel Dunaiski
Hierarchical Text Classification (HTC) is a natural language processing task with the objective to classify text documents into a set of classes from a structured class hierarchy.…