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Restriction Enzyme Recognition Sequence Search Program [PDF]
BioTechniques, 2002 A critical and difficult part of characterizing restriction enzymes and methylases is the identification of recognition sequences. To simplify this process, we have developed a plasmid transformation method along with a computer program named RM search ...
Kyle P. Ellrott +3 more
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Parallel sequence tagging for concept recognition
BMC Bioinformatics, 2022 Background Named Entity Recognition (NER) and Normalisation (NEN) are core components of any text-mining system for biomedical texts. In a traditional concept-recognition pipeline, these tasks are combined in a serial way, which is inherently prone to ...
Lenz Furrer +2 more
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BtsCI and BseGI display sequence preference in the nucleotides flanking the recognition sequence. [PDF]
PLoS ONE, 2018 Restriction enzymes are the bread and butter of Molecular Biology. Nonetheless, how restriction enzymes recognize and cleave their target is not always clear. When developing a method for the enzymatic production of oligonucleotides, we noticed that type
João Rosa +3 more
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On the Choice of Modeling Unit for Sequence-to-Sequence Speech Recognition [PDF]
, 2019 In conventional speech recognition, phoneme-based models outperform grapheme-based models for non-phonetic languages such as English. The performance gap between the two typically reduces as the amount of training data is increased.
Bruguier, Antoine +5 more
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Optical Music Recognition with Convolutional Sequence-to-Sequence Models [PDF]
, 2017 Optical Music Recognition (OMR) is an important technology within Music Information Retrieval. Deep learning models show promising results on OMR tasks, but symbol-level annotated data sets of sufficient size to train such models are not available and ...
Ullrich, Karen, van der Wel, Eelco
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S_TransNeXtM: a pig behavior recognition model based on the TransNeXtM and the sLSTM [PDF]
Frontiers in Veterinary SciencePig behavior recognition serves as a crucial indicator for monitoring health and environmental conditions. However, conventional pig behavior recognition methods are limited in their ability to effectively extract image features and analyze long sequence
Wangli Hao +5 more
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Proline-rich Sequence Recognition [PDF]
Molecular & Cellular Proteomics, 2009 Andreas Schlundt +8 more
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Dysarthric Speech Transformer: A Sequence-to-Sequence Dysarthric Speech Recognition System
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Automatic Speech Recognition (ASR) technologies can be life-changing for individuals who suffer from dysarthria, a speech impairment that affects articulatory muscles and results in incomprehensive speech.
Seyed Reza Shahamiri +2 more
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Face expression image detection and recognition based on big data technology
International Journal of Intelligent Networks, 2023 This research addresses the deficiencies in current dynamic sequence facial expression recognition methods, which suffer from limited accuracy and effectiveness.
Shuji Deng
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Algorithms, 2023 As a practical application of Optical Character Recognition (OCR) for the digital situation, the digital instrument recognition is significant to achieve automatic information management in real-industrial scenarios.
Shenghan Wei +3 more
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