Importance of the features that remained significant over short/mid/long-term prediction windows. by Maria Mahbub (11914235)

A Survey on Large Language Model-based Agents for Statistics and Data Science by Sun Maojun (21464946)

“…<p>In recent years, data science agents powered by Large Language Models (LLMs), known as “data agents,” have shown significant potential to transform the traditional data analysis paradigm. …”

The RBC-GEM model in Systems Biology Markup Language. by Zachary B. Haiman (5607746)

Translated and modified lists of words for Czech language conditions. by Mária Chocholáčková (16764352)

Data_Sheet_1_Significant Global Yield-Gap Closing Is Possible Without Increasing the Intensity of Environmentally Harmful Nitrogen Losses.docx by Andrew Smerald (12416149)

Summary of the MANOVA results of the language measures for the spontaneous speech task. by Sarah Fahmy (596146)

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Comparison of results between BGRU and BLSTM based models. by Khadija Akter Lima (17027752)

Univariable multinominal logistic regression analysis for the association between characteristics of included systematic reviews and language restrictions (N = 3465) based on the a... by Tatjana Lörscher (21396049)

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Multivariable multinominal logistic regression analysis for the association between characteristics of included systematic reviews and language restrictions (N = 3465) based on the... by Tatjana Lörscher (21396049)

Subjects:

Variation in band gap energy with respect to Co dopant concentration in ZnO-NPs. by Adil Muhammad (13003230)

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Energy band gap of various dopant concentration of Co-doped ZnO-NPs. by Adil Muhammad (13003230)

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Our framework to investigate the link between vision and language in material perception. by Chenxi Liao (5622617)

De-identified Arabic-language questionnaire responses collected during the study. by Noura Abu Asab (21615757)

Sign language recognition pipeline. by A.R. Syulistyo (21820170)

“…Experimental results demonstrate that the integration of MediaPipe and multiple reservoirs yields competitive outcomes compared with deep recurrent neural and echo state networks and promises significantly lower training times. Our proposed MRC achieved accuracies of 60.35%, 84.65%, and 91.51% for the top-1, top-5, and top-10, respectively, on the WLASL100 dataset, outperforming the deep learning-based approaches Pose-TGCN and Pose-GRU. …”

Retrieval-based word learning I (Leonard et al., 2019) by Laurence B. Leonard (5917856)

“…Krok, W. (2019). Retrieval-based word learning in young typically developing children and children with developmental language disorder I: The benefits of repeated retrieval.…”

Data-driven severity classification based on natural language extracted labels and computer vision-based cardiothoracic ratio calculation. by Tianhao Zhu (4166059)

Overview of monolingual and multilingual PLM-based fine-tuning for Sentiment Analysis. The SAfriSenti is utilised for training and evaluation purposes. by Koena Ronny Mabokela (21492394)

Application of the fine-tuned language model-based classifiers to vaccine response repertoire datasets. by Meng Wang (124646)

GAP-43 immunoreactivity. by Dalal G. Al-Adwani (8190696)

“…Whereas the EGBE, G-B and GBE-treated groups showed significant decrease intensity of the GAP-43 immunoreactivity at week 3 and week 6 compared to crush group. …”

Observed success probabilities (triangles for women, squares for men) and predictions according to Model 3 (increasing curves for women, decreasing curves for men) for the Veni dat... by Casper Albers (4871716)