Sign Up to like & get
recommendations!
0
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
Sign Up to like & get
recommendations!
1
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
Sign Up to like & get
recommendations!
0
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
Sign Up to like & get
recommendations!
1
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
Sign Up to like & get
recommendations!
2
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
Sign Up to like & get
recommendations!
0
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
Sign Up to like & get
recommendations!
1
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
Sign Up to like & get
recommendations!
0
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
Sign Up to like & get
recommendations!
1
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