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Showing 9 of 29 academic articles

Optimising Contextual Embeddings for Meaning Conflation Deficiency Resolution in Low-Resourced Languages

Mosima A. Masethe, Sunday O. Ojo, Hlaudi D. Masethe • Computers (2025)

Meaning conflation deficiency (MCD) presents a continual obstacle in natural language processing (NLP), especially for low-resourced and morphologically complex languages, where polysemy and contextual ambiguity diminish model precision in ...

DOAJ Open Access (DOAJ) DOI: 10.3390/computers14090402

A Deep Backtracking Bare‐Bones Particle Swarm Optimisation Algorithm for High‐Dimensional Nonlinear Functions

Jia Guo, Guoyuan Zhou, Ke Yan, Yi Di et al. • CAAI Transactions on Intelligence Technology (2025)

ABSTRACT The challenge of optimising multimodal functions within high‐dimensional domains constitutes a notable difficulty in evolutionary computation research. Addressing this issue, this study introduces the Deep Backtracking Bare‐Bones P...

DOAJ Open Access (DOAJ) DOI: 10.1049/cit2.70028

A novel agricultural commodity price prediction model integrating deep learning and enhanced swarm intelligence algorithm.

Kaixuan Sun, Qi Yao, Yanhui Li • PLoS ONE (2025)

The volatility of agricultural commodity prices significantly affects market stability and financial market dynamics, especially during periods of economic uncertainty and global shocks. Accurate price prediction, however, remains challengi...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pone.0337103

Quantum algorithms for matrix geometric means

Nana Liu, Qisheng Wang, Mark M. Wilde, Zhicheng Zhang • npj Quantum Information (2025)

Abstract Matrix geometric means between two positive definite matrices can be defined from distinct perspectives—as solutions to certain nonlinear systems of equations, as points along geodesics in Riemannian geometry, and as solutions to c...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41534-025-00973-7

An introduction to quantum machine learning

Maria Schuld, Ilya Sinayskiy, Francesco Petruccione • Contemporary Physics (2014)

Machine learning algorithms learn a desired input-output relation from examples in order to interpret new inputs. This is important for tasks such as image and speech recognition or strategy optimisation, with growing applications in the IT...

OPENALEX Open Access DOI: https://doi.org/10.1080/00107514.2014.964942

Unified Multimodal Information Flows for Immersive and Context-Aware 6G Systems

Rajesh Manoharan, R. V. Siva Balan, G. Govinda Rajulu, Amit Kumar Padhy et al. • IEEE Open Journal of the Communications Society (2026)

Communication is moving from being data-centric to being experience-centric and perception-aware with the advent of 6G wireless networks. Immersive applications such as digital twins, holographic telepresence, extended reality, tactile Inte...

DOAJ Open Access (DOAJ) DOI: 10.1109/OJCOMS.2026.3683716