Large language models are evolving from answer engines into conversational partners that shape decisions by asking their own questions. Research comparing more than 1,600 executives with 13 leading ...
This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under ...
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CNN-based system improves lung nodule detection and classification
Background and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.
Abstract: This paper introduces Q-learning with gradient target tracking, a novel reinforcement learning framework that provides a learned continuous target update mechanism as an alternative to the ...
High-temperature proton exchange membrane fuel cells (HT-PEMFCs) are highly promising for next-generation aviation, as they can operate above 160 °C and tolerate impurities in the fuel. However, they ...
ABSTRACT: The surge of digital data in tourism, finance and consumer markets demands predictive models capable of handling volatility, nonlinear dynamics, and long-term dependencies, where traditional ...
Official implementation of the SAM-GS optimizer for multitask learning ArxIv Comparison of different MTL methods for 20000 steps.\ Top row: The loss trajectories of different MTL methods in the loss ...
Abstract: Deep learning plays increasingly important role in future wireless network management and optimization. Existing training methods such as label-based supervised learning and label-free ...
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