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Sustainability in wood products: a new perspective for handling natural diversity
Wood is a renewable resource with excellent qualities and the potential to become a key
element of a future bioeconomy. The increasing environmental awareness and drive to …
element of a future bioeconomy. The increasing environmental awareness and drive to …
Emotion detection of textual data: An interdisciplinary survey
Emotion is a primary aspect of communication and can be expressed in many modalities.
Text-Based Emotion Detection (TBED), one of the fastest growing branches of Natural …
Text-Based Emotion Detection (TBED), one of the fastest growing branches of Natural …
Comparative analysis of vision transformers and convolutional neural networks in osteoporosis detection from X-ray images
Within the scope of this investigation, we carried out experiments to investigate the potential
of the Vision Transformer (ViT) in the field of medical image analysis. The diagnosis of …
of the Vision Transformer (ViT) in the field of medical image analysis. The diagnosis of …
Development and application of ship detection and classification datasets: A review
C Zhang, X Zhang, G Gao, H Lang, G Liu… - … and Remote Sensing …, 2024 - ieeexplore.ieee.org
Ship detection and classification pose significant challenges in remote sensing. The potent
feature extraction capabilities of deep learning algorithms render them pivotal for these …
feature extraction capabilities of deep learning algorithms render them pivotal for these …
[HTML][HTML] Mixing process-based and data-driven approaches in yield prediction
Yield prediction models can be divided between data-driven and process-based models
(crop growth models). The first category contains many different types of models with …
(crop growth models). The first category contains many different types of models with …
Transfer learning in brain tumor classification: challenges, opportunities, and future prospects
Brain tumor classification plays a critical role in diagnosing and treating patients effectively.
However, the limited availability of annotated data and the complexity of tumor images …
However, the limited availability of annotated data and the complexity of tumor images …
[ספר][B] Handbook of price impact modeling
KT Webster - 2023 - taylorfrancis.com
The Handbook of Price Impact Modeling provides practitioners and students with a
mathematical framework grounded in academic references to apply price impact models to …
mathematical framework grounded in academic references to apply price impact models to …
Radio galaxy zoo: towards building the first multipurpose foundation model for radio astronomy with self-supervised learning
In this work, we apply self-supervised learning with instance differentiation to learn a robust,
multipurpose representation for image analysis of resolved extragalactic continuum images …
multipurpose representation for image analysis of resolved extragalactic continuum images …
Predicting shield position deviation based on double-path hybrid deep neural networks
Timely and reliably predicting shield-position deviation is crucial to ensure the successful
completion of tunneling projects. In this study, a double-path hybrid deep neural networks …
completion of tunneling projects. In this study, a double-path hybrid deep neural networks …
TLimmuno2: predicting MHC class II antigen immunogenicity through transfer learning
Major histocompatibility complex (MHC) class II molecules play a pivotal role in antigen
presentation and CD4+ T cell response. Accurate prediction of the immunogenicity of MHC …
presentation and CD4+ T cell response. Accurate prediction of the immunogenicity of MHC …