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Outputs (216)

Forest Smoke-Fire Net (FSF Net): A Wildfire Smoke Detection Model That Combines MODIS Remote Sensing Images with Regional Dynamic Brightness Temperature Thresholds (2024)
Journal Article
Ding, Y., Wang, M., Fu, Y., & Wang, Q. (2024). Forest Smoke-Fire Net (FSF Net): A Wildfire Smoke Detection Model That Combines MODIS Remote Sensing Images with Regional Dynamic Brightness Temperature Thresholds. Forests, 15(5), Article 839. https://doi.org/10.3390/f15050839

Satellite remote sensing plays a significant role in the detection of smoke from forest fires. However, existing methods for detecting smoke from forest fires based on remote sensing images rely solely on the information provided by the images, overl... Read More about Forest Smoke-Fire Net (FSF Net): A Wildfire Smoke Detection Model That Combines MODIS Remote Sensing Images with Regional Dynamic Brightness Temperature Thresholds.

Introducing the TISMIR Education Track: What, Why, How? (2024)
Journal Article
Müller, M., Dixon, S., Volk, A., Sturm, B. L. T., Rao, P., & Gotham, M. (2024). Introducing the TISMIR Education Track: What, Why, How?. Transactions of the International Society for Music Information Retrieval, 7(1), 85-98. https://doi.org/10.5334/tismir.199

This editorial introduces the new education track for the Transactions of the International Society for Music Information Retrieval (TISMIR) and aims to provide guidance to both prospective authors and users of this track’s material regarding its con... Read More about Introducing the TISMIR Education Track: What, Why, How?.

Mapping flagellated swimmers to surface-slip driven swimmers (2024)
Journal Article
Gidituri, H., Kabacaoğlu, G., Ellero, M., & Balboa Usabiaga, F. (2024). Mapping flagellated swimmers to surface-slip driven swimmers. Journal of Computational Physics, 510, Article 113081. https://doi.org/10.1016/j.jcp.2024.113081

Flagellated microswimmers are ubiquitous in natural habitats. Understanding the hydrodynamic behavior of these cells is of paramount interest, owing to their applications in bio-medical engineering and disease spreading. Since the last two decades, c... Read More about Mapping flagellated swimmers to surface-slip driven swimmers.

Big Data Analytics: Theory, Techniques, Platforms, and Applications (2024)
Book
Demirbaga, Ü., Aujla, G. S., Jindal, A., & Kalyon, O. (2024). Big Data Analytics: Theory, Techniques, Platforms, and Applications. Springer Nature. https://doi.org/10.1007/978-3-031-55639-5

This book introduces readers to big data analytics. It covers the background to and the concepts of big data, big data analytics, and cloud computing, along with the process of setting up, configuring, and getting familiar with the big data analytics... Read More about Big Data Analytics: Theory, Techniques, Platforms, and Applications.

Unveiling crisis in globalised higher education: Artificial intelligence insights from doctoral research in EThOS (2024)
Journal Article
Montgomery, C., Stewart, C., Aduragba, O., & Poli, F. (2024). Unveiling crisis in globalised higher education: Artificial intelligence insights from doctoral research in EThOS. Higher Education Quarterly, 78(4), Article e12537. https://doi.org/10.1111/hequ.12537

This paper seeks to illuminate new perspectives on the concept of crisis in globalised higher education (HE) by focusing on knowledge generated by doctoral research. Doctoral research is a significant part of research and knowledge building in HE, pa... Read More about Unveiling crisis in globalised higher education: Artificial intelligence insights from doctoral research in EThOS.

A Multimodal Sentiment Analysis Approach Based on a Joint Chained Interactive Attention Mechanism (2024)
Journal Article
Qiu, K., Zhang, Y., Zhao, J., Zhang, S., Wang, Q., & Chen, F. (2024). A Multimodal Sentiment Analysis Approach Based on a Joint Chained Interactive Attention Mechanism. Electronics, 13(10), Article 1922. https://doi.org/10.3390/electronics13101922

The objective of multimodal sentiment analysis is to extract and integrate feature information from text, image, and audio data accurately, in order to identify the emotional state of the speaker. While multimodal fusion schemes have made some progre... Read More about A Multimodal Sentiment Analysis Approach Based on a Joint Chained Interactive Attention Mechanism.

Leveraging Self-Distillation and Disentanglement Network to Enhance Visual–Semantic Feature Consistency in Generalized Zero-Shot Learning (2024)
Journal Article
Liu, X., Wang, C., Yang, G., Wang, C., Long, Y., Liu, J., & Zhang, Z. (2024). Leveraging Self-Distillation and Disentanglement Network to Enhance Visual–Semantic Feature Consistency in Generalized Zero-Shot Learning. Electronics, 13(10), Article 1977. https://doi.org/10.3390/electronics13101977

Generalized zero-shot learning (GZSL) aims to simultaneously recognize both seen classes and unseen classes by training only on seen class samples and auxiliary semantic descriptions. Recent state-of-the-art methods infer unseen classes based on sema... Read More about Leveraging Self-Distillation and Disentanglement Network to Enhance Visual–Semantic Feature Consistency in Generalized Zero-Shot Learning.

Diagnosis of multiple sclerosis by detecting asymmetry within the retina using a similarity-based neural network (2024)
Journal Article
Bolton, R. C., Kafieh, R., Ashtari, F., & Atapour-Abarghouei, A. (2024). Diagnosis of multiple sclerosis by detecting asymmetry within the retina using a similarity-based neural network. IEEE Access, 12, 62975-62985. https://doi.org/10.1109/access.2024.3395995

Multiple sclerosis (MS) is a chronic neurological disorder that targets the central nervous system, causing demyelination and neural disruption, which can include retinal nerve damage leading to visual disturbances. The purpose of this study is to de... Read More about Diagnosis of multiple sclerosis by detecting asymmetry within the retina using a similarity-based neural network.

Graphs with minimum degree-entropy (2024)
Journal Article
Dong, Y., Gadouleau, M., Wan, P., & Zhang, S. (2024). Graphs with minimum degree-entropy. Information Sciences, 671, 120629. https://doi.org/10.1016/j.ins.2024.120629

We continue studying extremal values of the degree-entropy, which is an information-theoretic measure defined as the Shannon entropy based on the information functional involving vertex degrees. For a graph with a given number of vertices and edges a... Read More about Graphs with minimum degree-entropy.