A firm that wants to use a large language model (LLM) to summarize sales reports or triage customer inquiries can choose between hundreds of unique LLMs with dozens of model variations, each with ...
Abstract: It remains a challenging to capture inter-variable correlations in time series forecasting (TSF), which leads researchers to focus more on channel-independent TSF methods. However, it is ...
Is Nebraska basketball following a similar track as Indiana football? Nebraska's Berke Büyüktuncel (9) celebrates during the first half of a college men's basketball game against Oregon at Pinnacle ...
Abstract: The presence of noise in acquired data invariably leads to performance degradation in cross-modal matching. Unfortunately, obtaining precise annotations in the multimodal field is expensive, ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA, United States An alternative to ranking cultivars based on mean and stability of phenotype is ...
ABSTRACT: In many parts of the world, beekeeping, a pillar of agricultural production and biodiversity conservation, is subject to the harmful effects of climate change and climate variability. In ...
This study introduces a sophisticated intelligent predictive maintenance system for industrial conveyor belts powered by a random forest machine learning model. The random forest model was evaluated ...
This study provides a valuable set of analyses and theoretical derivations to understand the mechanisms used by recurrent neural networks (RNNs) to perform context-dependent accumulation of evidence.
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