A Survey on Deep Learning Event Extraction: Approaches and Applications. arXiv 2021 paper bib Qian Li, Jianxin Li, Jiawei Sheng, Shiyao Cui, Jia Wu, Yiming Hei, Hao Peng, Shu Guo, Lihong Wang, Amin Beheshti, Philip S. Yu A Survey on Open Information Extraction. COLING 2018 paper bib Ch...
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MediGuard: A Survey on Security Attacks in Blockchain-IoT Ecosystems for e-Healthcare Applications CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 3975-4029, 2025, DOI:10.32604/cmc.2025.061965 - 19 May 2025 Abstract Cloud-based setups are intertwined with the Internet of Things ...
DNA methylation plays an important role in various biological processes, including cell differentiation, ageing, and cancer development. The most important methylation in mammals is 5-methylcytosine mostly occurring in the context of CpG dinucleotides. S
Given a GitHub repository with an OWL file, OnToology will survey it and produce diagrams, a complete documentation and validation based on common pitfalls. OBA - Automatically create OpenAPI specifications from OWL and launch a server that serves JSON objects according to your ontology. MEL - (...
The lack of a comprehensive survey covering all employed techniques complicates the identification of trends, gaps, and research opportunities. Unlike Constancio et al.’s systematic review focused on ML (Constâncio et al., 2023), our research provides a thorough exploration of contemporary ...
Survey paper of Reyes et al. [116] was based on the usage of EEG test to diagnose dementia disorder and observed that with processing methods (FT, FFT, STFT, WT) and ML classifiers like SVM and NN, the obtained accuracy was greater than 90% in various applications. Further research in ...
of anisotropic etchants and therefore, a prolonged etching always leads to the appearance of {111} facets at the sidewalls of the fabricated structures. In wet anisotropic etching, undercutting occurs at the extruded corners and the curved edges of the mask patterns on the wafer surface. The ...
2. In this paper, we explore various methods for automating data processing tasks for deep learning and big data applications. In the context of this survey, we broadly divide data processing tasks into three main subtasks: preprocessing, data augmentation and feature engineering (i.e., feature...
’. Then, we sample the probabilities of ‘Yes’ (Pyes) and ‘No’ (Pno) from the next predicted token by GPT. Finally, ifPyes > Pno, we take the ‘Yes’ as the output of LLMs; ifPyes < Pno, we take the ‘No’ as the output of LLMs. In this way, we can ...