Articles with "knowledge guided" as a keyword



Prior knowledge-guided improved wiener filter network for gear interpretable edge diagnosis under multi-speed conditions

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Published in 2025 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/ae0354

Abstract: Benefiting from end-to-end learning, automatic feature extraction, and high-dimensional data processing capabilities, deep learning significantly improves the accuracy and efficiency of mechanical fault diagnosis. However, its diagnostic performance under varying operating conditions of gears (e.g.… read more here.

Keywords: diagnosis; prior knowledge; edge; knowledge guided ... See more keywords

Learning to Recognize Thoracic Disease in Chest X-Rays With Knowledge-Guided Deep Zoom Neural Networks

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3020579

Abstract: Automatic and accurate thorax disease diagnosis in Chest X-ray (CXR) image plays an essential role in clinical assist analysis. However, due to its imaging noise regions and the similarity of visual features between diseases and… read more here.

Keywords: guided deep; region; knowledge guided; disease ... See more keywords

LLaMA-UTP: Knowledge-Guided Expert Mixture for Analyzing Uncertain Tax Positions

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Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3571502

Abstract: This paper introduces LLaMA-UTP, a novel framework for classifying and interpreting uncertain tax positions (UTPs) in technology companies. Tax professionals face significant challenges when analyzing UTPs: navigating vast bodies of intricate legal text, interpreting highly… read more here.

Keywords: guided expert; knowledge; llama utp; knowledge guided ... See more keywords

MsKAT: Multi-Scale Knowledge-Aware Transformer for Vehicle Re-Identification

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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2022.3166463

Abstract: Existing vehicle re-identification (Re-ID) methods usually suffer from intra-instance discrepancy and inter-instance similarity. The key to solving this problem lies in filtering out identity-irrelevant interference and collecting identity-relevant vehicle details. In this paper, we aim… read more here.

Keywords: multi scale; knowledge guided; knowledge; inline formula ... See more keywords

Knowledge-Guided Semantic Transfer Network for Few-Shot Image Recognition.

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Published in 2023 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2023.3240195

Abstract: Deep learning-based models have been shown to outperform human beings in many computer vision tasks with massive available labeled training data in learning. However, humans have an amazing ability to easily recognize images of novel… read more here.

Keywords: network; transfer network; guided semantic; knowledge guided ... See more keywords

Knowledge-Guided Deep Reinforcement Learning for Multiobjective Energy Management of Fuel Cell Electric Vehicles

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Published in 2025 at "IEEE Transactions on Transportation Electrification"

DOI: 10.1109/tte.2024.3421342

Abstract: In the realm of fuel cell electric vehicles (FCEVs), the deep reinforcement learning (DRL) technique is increasingly recognized as a key technique for developing effective energy management strategies. Conventional DRL methods, however, struggle in complex… read more here.

Keywords: energy management; management; knowledge guided; fuel cell ... See more keywords

Knowledge-Guided Learning for Transceiver Design in Over-the-Air Federated Learning

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Published in 2022 at "IEEE Transactions on Wireless Communications"

DOI: 10.1109/twc.2022.3192550

Abstract: In this paper, we consider communication-efficient over-the-air federated learning (FL), where multiple edge devices with non-independent and identically distributed datasets perform multiple local iterations in each communication round and then concurrently transmit their updated gradients… read more here.

Keywords: air; knowledge guided; transceiver design; guided learning ... See more keywords

Knowledge-Guided Reinforcement Learning with Artificial Potential Field-Based Demonstrations for Multi-Autonomous Underwater Vehicle Cooperative Hunting

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Published in 2025 at "Journal of Marine Science and Engineering"

DOI: 10.3390/jmse13030423

Abstract: Multi-AUV cooperative hunting requires autonomous underwater vehicles (AUVs) to strategize the encirclement of evaders while navigating around obstacles and other AUVs. Despite the promise of multi-agent reinforcement learning (MARL) in continuous control problems, its low… read more here.

Keywords: cooperative hunting; knowledge; knowledge guided; autonomous underwater ... See more keywords

Prior Knowledge Guided Ultra-high Dimensional Variable Screening with Application to Neuroimaging Data.

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Published in 2022 at "Statistica Sinica"

DOI: 10.5705/ss.202020.0427

Abstract: Variable screening is a powerful and efficient tool for dimension reduction under ultrahigh dimensional settings. However, most existing methods overlook useful prior knowledge in specific applications. In this work, from a Bayesian modeling perspective, we… read more here.

Keywords: prior knowledge; knowledge guided; variable screening; high dimensional ... See more keywords