Search: data augmentation — Academic Articles

Feature Augmenting Networks for Improving Depression Severity Estimation From Speech Signals

Le Yang, Dongmei Jiang, Hichem Sahli • IEEE Access (2020)

Depression disorder has become one of the major psychological diseases endangering human health. Researcher in the affective computing community is supporting the development of reliable depression severity estimation system, from multiple ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2020.2970496

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Deep learning in food category recognition

Yudong Zhang, Lijia Deng, Hengde Zhu, Wei Wang et al. • Information Fusion (2023)

Integrating artificial intelligence with food category recognition has been a field of interest for research for the past few decades. It is potentially one of the next steps in revolutionizing human interaction with food. The modern advent...

OPENALEX cc-by DOI: https://doi.org/10.1016/j.inffus.2023.101859

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Text Data Augmentation for Deep Learning

Connor Shorten, Taghi M. Khoshgoftaar, Borko Furht • Journal Of Big Data (2021)

Natural Language Processing (NLP) is one of the most captivating applications of Deep Learning. In this survey, we consider how the Data Augmentation training strategy can aid in its development. We begin with the major motifs of Data Augme...

OPENALEX cc-by DOI: https://doi.org/10.1186/s40537-021-00492-0 PMC: 8287113

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Research Progress on Distributed Fiber Optic Event Recognition Methods Under Data Constraints

ZHANG Lei, LI Yuewen, SHI Yi • Guangtongxin yanjiu (2026)

Due to the dynamic monitoring capability, Distributed Acoustic Sensing (DAS) has been widely deployed in various industrial scenarios. Deep learning greatly boosts the event detection accuracy of fiber sensing systems. Nevertheless, practic...

DOAJ Open Access (DOAJ)

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Composition Design and Property Prediction for AlCoCrCuFeNi High-Entropy Alloy Based on Machine Learning

Cuixia Liu, Meng Meng, Xian Luo • Metals (2025)

Based on the innovative mode driven by “data + artificial intelligence”, in this study, three methods, namely Gaussian noise (GAUSS Noise), the Generative Adversarial Network (GAN), and the optimized Generative Adversarial Network (GANPro),...

DOAJ Open Access (DOAJ) DOI: 10.3390/met15070733

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Academic Articles & Research Papers

Feature Augmenting Networks for Improving Depression Severity Estimation From Speech Signals

Deep learning in food category recognition

Text Data Augmentation for Deep Learning

Research Progress on Distributed Fiber Optic Event Recognition Methods Under Data Constraints

Composition Design and Property Prediction for AlCoCrCuFeNi High-Entropy Alloy Based on Machine Learning