Showing 181 - 200 results of 1,846 for search '(((bears OR (bers OR (bert OR best))) OR bee) OR beer)', query time: 0.18s Refine Results
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    AI based stock market trending analysis by Goon, Redmond Aldric Yonghao

    Published 2020
    “…BERT achieved the best evaluation results of 0.957, 0.931, 0.964, and 0.947 for accuracy, precision, recall, and f1 score respectively. …”
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    Final Year Project (FYP)
  4. 184
  5. 185

    Lightweight transformers for clinical natural language processing by Rohanian, O, Nouriborji, M, Jauncey, H, Kouchaki, S, Nooralahzadeh, F, Clifton, L, Merson, L, Clifton, DA

    Published 2024
    “…Specialised pre-trained language models are becoming more frequent in Natural language Processing (NLP) since they can potentially outperform models trained on generic texts. BioBERT (Sanh et al., Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter. …”
    Journal article
  6. 186

    Learning automations in game engine by Ju, Peng

    Published 2013
    “…First, design and develop a server-client software version of Beer Game using Java. Second, develop a software entity (AI agent) in the Beer Game software utilizing Memetic approach. …”
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    Final Year Project (FYP)
  7. 187
  8. 188

    Object-oriented indoor navigation for delivery robot by Li, Yuanwei

    Published 2024
    “…Although the BERT model has good performance in VLN, the mismatch between instructions and visual information at the input leads to navigation errors for robots in similar scenes. …”
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    Thesis-Master by Coursework
  9. 189

    Generalized AutoNLP model for name entity recognition task by Wong, Yung Shen

    Published 2022
    “…In this project, we have proposed an architecture of a combination of deep-learning based approach word embeddings, BERT with static word embeddings, GloVe. Experiments are conducted to study the performance of our proposed architecture with BERT word embeddings on AutoNLP name entity recognition tasks.…”
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    Final Year Project (FYP)
  10. 190

    An overview of stock trading with sentiment analysis by Tang, Yi Qwan

    Published 2024
    “…Utilising multiple sentiment analysis models like Sentic API, TextBlob, VADER, BERT, and FinBERT, alongside varying preprocessing methods and news formats, the research explores optimal trading signals for high-frequency trading. …”
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    Final Year Project (FYP)
  11. 191

    Large scale paired antibody language models by Kenlay, H, Dreyer, FA, Kovaltsuk, A, Miketa, D, Pires, D, Deane, CM

    Published 2024
    “…To address this challenge, we present IgBert and IgT5, the best performing antibody-specific language models developed to date which can consistently handle both paired and unpaired variable region sequences as input. …”
    Journal article
  12. 192

    Public opinion trend analysis on nuclear energy via aspect-based sentiment analysis methods by Huang, Fan

    Published 2022
    “…The Bidirectional Encoder Representation Transformers (BERT) model was applied to detect the sentiment polarities of collected tweets. …”
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    Thesis-Master by Coursework
  13. 193

    Sentiment analysis for COVID-19 vaccination news by Lim, Pei Yan

    Published 2022
    “…Different sentiment analysis models, TextBlob, VADER, Flair and CT-BERT, are used. Several rules are defined through analysis to improve the models' accuracy. …”
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    Final Year Project (FYP)
  14. 194

    Biovalorisation of brewer's spent grain (BSG) and sensory evaluation of BSG bread by Goh, Luo Lin

    Published 2021
    “…Brewer’s spent grain (BSG) is the largest by-product of beer production, generating over an approximate 38 billion kg annually. …”
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    Final Year Project (FYP)
  15. 195

    Keyword and named entity recognition on emergency call texts by Hu, Wanyu

    Published 2020
    “…The model used for this project is the Bidirectional Representations from Transformers (BERT) model. 75% of the Emergency Call Texts dataset is obtained online. …”
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    Final Year Project (FYP)
  16. 196
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    Topological data analysis for fake news detection by Deng, Ran

    Published 2022
    “…For this task, three individual models have been used: least absolute shrinkage and selection operator (LASSO) using 0th Dimensional Persistent Image (PI) vectors, Bidirectional Long Short-Term Memory (BiLSTM), and Bidirectional Encoder Representations from Transformers (BERT). Two ensemble models were also used to improve performances by supplementing contextual information from deep-learning models with structural information from PI vectors: BiLSTM + TDA and BERT + TDA. …”
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    Final Year Project (FYP)
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    Hermitian symmetric DFT codes : a new class of complex DFT codes by Kumar, A. Anil, Makur, Anamitra

    Published 2013
    “…For a Gauss-Markov source, on a binary symmetric channel at lower to moderate bit error rates (BERs), HSDFT codes show better performance than RBDFT codes, and on a Gilbert-Elliot channel HSDFT codes consistently perform better than RBDFT codes.…”
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    Journal Article
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