Results 31 to 40 of about 85,416 (307)

Transformer-Based Deep Learning Model for Coffee Bean Classification

Journal of Applied Informatics and Computing
Coffee is one of the most popular beverage commodities consumed worldwide. The process of selecting high-quality coffee beans plays a vital role in ensuring that the resulting coffee has superior taste and aroma.
Imam Ekowicaksono, I Wayan Wiprayoga Wisesa, Vita Fitriani   +2 more
doaj   +1 more source

Evaluating the Effectiveness of Time Series Transformers for Demand Forecasting in Retail

Mathematics
This study investigates the effectiveness of Transformer-based models for retail demand forecasting. We evaluated vanilla Transformer, Informer, Autoformer, PatchTST, and temporal fusion Transformer (TFT) against traditional baselines like AutoARIMA and ...
José Manuel Oliveira, Patrícia Ramos
doaj   +1 more source

Scope in model transformations [PDF]

Software & Systems Modeling, 2016
A notion of hierarchical scope is commonplace in many programmatic systems. In the context of model, and in particular graph transformation, the use of scope can present two advantages: first, more natural expression of transformation application locality, and second, reduction in the number of match candidates, promising performance improvements ...
Maris Jukss, Clark Verbrugge, Maged Elaasar, Hans Vangheluwe   +3 more
openaire   +2 more sources

Emapalumab for Immune Effector Cell‐Associated Hemophagocytic Lymphohistiocytosis‐Like Syndrome Following CD19‐Directed CAR‐T in Two Patients With B‐ALL: Clinical and Biomarker Correlates

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Immune effector cell‐associated hemophagocytic lymphohistiocytosis‐like syndrome (IEC‐HS) is a life‐threatening hyperinflammatory toxicity distinct from cytokine release syndrome (CRS) and neurotoxicity following chimeric antigen receptor T‐cell (CAR‐T) therapy. In a single‐institution retrospective cohort of pediatric and young adult patients
Thomas J. Galletta, Jeremy D. Rubinstein, Christopher E. Dandoy, Ruby Khoury, Angela Faulhaber, Christine L. Phillips, Christa Krupski   +6 more
wiley   +1 more source

Modelling Transformative Education [PDF]

FORUM, 2019
This article is a call to rebalance and broaden contemporary education to include a focus on both conformity and transformation. It includes an overview of three different models of education, relating to different educational purposes. Two emphasise conformity in knowledge acquisition – 'mastering knowledge' and 'discovering knowledge' – as well as a
Webb, Rebecca, Kirby, Perpetua
openaire   +1 more source

Dietary Protein Intake and Peritoneal Protein Losses in Peritoneal Dialysis Patients

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Peritoneal dialysis (PD) patients lose protein in their waste dialysate, potentially increasing their risk for malnutrition. We wished to determine whether there was any association between losses and dietary protein intake (DPI). Methods DPI was assessed from 24‐h dietary recall using Nutrics software.
Haalah Shaaker, Andrew Davenport
wiley   +1 more source

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

FEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi, Pilar Samperio Ventayol, Natalie Burkard, Nicolas Schlegel, Carmen Aguilar, Sina Bartfeld   +5 more
wiley   +1 more source

A Survey of Techniques for Optimizing Transformer Inference

, 2023
Recent years have seen a phenomenal rise in performance and applications of transformer neural networks. The family of transformer networks, including Bidirectional Encoder Representations from Transformer (BERT), Generative Pretrained Transformer (GPT ...
Chitty-Venkata, Krishna Teja, Mittal, Sparsh, Somani, Arun, Vishwanath, Venkatram, Emani, Murali   +4 more
core  

Multiple objectives escaping bird search optimization and its application in stock market prediction based on transformer model

Scientific Reports
Stock market prediction has long attracted the attention of academia and industry due to its potential for substantial financial returns. Despite the availability of various forecasting methods, such as CNN, LSTM, BiLSTM, GRU, and Transformer, the ...
Dedai Wei, Zimo Wang, Minyu Qiu, Juntao Yu, Jiaquan Yu, Yurun Jin, Xinye Sha, Kaichen Ouyang   +7 more
doaj   +1 more source

Hybrid Transformer Architectures With Diverse Audio Features for Deepfake Speech Classification

IEEE Access
The rise of synthetic speech technologies has triggered growing concerns about the increasing difficulty in distinguishing between real and fake voices.
Khalid Zaman, Islam J. A. M. Samiul, Melike Sah, Cem Direkoglu, Shogo Okada, Masashi Unoki   +5 more
doaj   +1 more source