Large language models for forecasting and anomaly detection: A systematic literature review
This systematic literature review comprehensively examines the application of Large
Language Models (LLMs) in forecasting and anomaly detection, highlighting the current …
Language Models (LLMs) in forecasting and anomaly detection, highlighting the current …
Enhancing E-commerce Recommendations: Unveiling Insights from Customer Reviews with BERTFusionDNN
In the domain of e-commerce, customer reviews wield significant influence over business
strategies. Despite the existence of various recommendation methodologies like …
strategies. Despite the existence of various recommendation methodologies like …
Enhancing E-commerce Chatbots with Falcon-7B and 16-bit Full Quantization
Y Luo, Z Wei, G Xu, Z Li, Y **e… - Journal of Theory and …, 2024 - centuryscipub.com
E-commerce chatbots play a crucial role in customer service but often struggle with
understanding complex queries. This study introduces a breakthrough approach leveraging …
understanding complex queries. This study introduces a breakthrough approach leveraging …
Selection performance using a smartphone in VR with redirected input
S Kyian, R Teather - Proceedings of the 2021 ACM Symposium on …, 2021 - dl.acm.org
We present a method to track a smartphone in VR using a fiducial marker displayed on the
screen. Using WebRTC transmission protocol, we capture smartphone touchscreen input …
screen. Using WebRTC transmission protocol, we capture smartphone touchscreen input …
Combining virtual reality and narrative visualisation to persuade
J Bastiras, BH Thomas - … on Big Data Visual Analytics (BDVA), 2017 - ieeexplore.ieee.org
This paper combines narrative visualisations with modern 3D virtual reality technology to
create an effective and focused presentation that persuades the user of a given theory or …
create an effective and focused presentation that persuades the user of a given theory or …