Results 1 to 10 of about 10,208 (167)
AI-powered recognition of Chinese medicinal herbs with semantic structure modeling and gradient-guided enhancement [PDF]
Frontiers in Plant ScienceDigital image processing and object recognition are fundamental tasks in sensor-driven intelligent systems. This paper proposes a structure-aware artificial intelligence framework tailored for fine-grained recognition of medicinal plant images captured ...
Jiaxing Zou, Ruiwei Liao
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A Bidirectional Context Embedding Transformer for Automatic Speech Recognition
Information, 2022 Transformers have become popular in building end-to-end automatic speech recognition (ASR) systems. However, transformer ASR systems are usually trained to give output sequences in the left-to-right order, disregarding the right-to-left context ...
Lyuchao Liao +6 more
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Subsentence Extraction from Text Using Coverage-Based Deep Learning Language Models
Sensors, 2021 Sentiment prediction remains a challenging and unresolved task in various research fields, including psychology, neuroscience, and computer science. This stems from its high degree of subjectivity and limited input sources that can effectively capture ...
JongYoon Lim +5 more
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IEEE Access, 2023 Due to the great uncertainty of the output power of renewable energy sources (RESs), the storage and reuse of RESs is the focus of new energy technology. The bidirectional DC-DC resonant converter is preferred in the new energy technology.
Lei Guo +4 more
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Bidirectional DC-DC converter circuits and smart control algorithms: a review
Journal of Electrical Systems and Information Technology, 2022 The entire article has been dedicated to cover the current state of the art in bidirectional DC-DC converter topologies and its smart control algorithms, identified the research gaps and concluded with the motivation for taking up the work. It covers the
V. Viswanatha +2 more
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Toward Transformer Fusions for Chinese Sentiment Intensity Prediction in Valence-Arousal Dimensions
IEEE Access, 2023 BERT (Bidirectional Encoder Representations from Transformers) uses an encoder architecture with an attention mechanism to construct a transformer-based neural network.
Yu-Chih Deng +3 more
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A Bidirectional Long Short-Term Memory Autoencoder Transformer for Remaining Useful Life Estimation
Mathematics, 2023 Estimating the remaining useful life (RUL) of aircraft engines holds a pivotal role in enhancing safety, optimizing operations, and promoting sustainability, thus being a crucial component of modern aviation management.
Zhengyang Fan, Wanru Li, Kuo-Chu Chang
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Journal of Algorithms & Computational Technology, 2023 Power transformers are crucial components of power transmission and transformation networks. Their operational status has a direct impact on the reliability of power supply systems.
Haomin Chen +7 more
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ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic [PDF]
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021 All authors contributed equally.
Abdul-Mageed, Muhammad +2 more
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Power Reversal Algorithm for Resonant Direct Current Transformers for DC Networks
IEEE Access, 2022 The bidirectional resonant DC transformer has all the desired features to drive the development of the DC power distribution networks of the future. This power-electronics converter provides galvanic isolation between DC buses, has desired open loop ...
Renan Pillon Barcelos +2 more
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