Xiaohui Cui^1,2,#, Chao Song^1,2,#, Dongmei Li^1,2,*, Xiaolong Qu^1,2, Jiao Long^1,2, Yu Yang^1,2, Hanchao Zhang³

CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 3603-3618, 2024, DOI:10.32604/cmc.2024.047321 - 26 March 2024

Abstract Named Entity Recognition (NER) stands as a fundamental task within the field of biomedical text mining, aiming to extract specific types of entities such as genes, proteins, and diseases from complex biomedical texts and categorize them into predefined entity types. This process can provide basic support for the automatic construction of knowledge bases. In contrast to general texts, biomedical texts frequently contain numerous nested entities and local dependencies among these entities, presenting significant challenges to prevailing NER models. To address these issues, we propose a novel Chinese nested biomedical NER model based on RoBERTa and Global Pointer… More >

M. Adjailia¹, H. Derbal Habak^2,*, Y. Hamaizi¹, H. Triki¹

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.3, pp. 831-844, 2023, DOI:10.32604/fdmp.2022.022162 - 29 September 2022

Abstract Fiber Bragg grating (FBG) sensors are often used in monitoring activities and to ensure that environmental parameters satisfy industrial requirements. They offer crucial safety measures in the early detection of hazards due to their greatly reduced size, low weight, flexibility, and immunity to electromagnetic interference. These characteristics make FBGs suitable also for use in relation to the human body for in vivo measurements and long-term monitoring. In this study, recent developments are presented with regard to the utilization of these sensors to measure the so-called post-mortem interval (PMI). Such developments rely on numerical simulations based on More >