Works (3)

Updated: March 11th, 2024 08:13

2021 journal article

Atlantic Hurricane Activity Prediction: A Machine Learning Approach


By: T. Asthana n, H. Krim n, X. Sun n, S. Roheda n & L. Xie n

author keywords: hurricanes; tropical cyclones; fusion networks; weather forecast
TL;DR: A machine learning model capable of making good preseason-prediction of Atlantic hurricane activity is presented, which has the potential to make skillful predictions up to 18 months in advance. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: April 4, 2021

2021 journal article

Event driven sensor fusion


By: S. Roheda n, H. Krim n, Z. Luo* & T. Wu n

author keywords: Sensor fusion; Multi-modal fusion; Event driven classification
TL;DR: This paper addresses the issue of coping with damaged sensors when using the model, by learning a hidden space between sensor modalities which can be exploited to safeguard detection performance. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 23, 2021

2021 journal article

Robust Multi-Modal Sensor Fusion: An Adversarial Approach

IEEE SENSORS JOURNAL, 21(2), 1885–1896.

By: S. Roheda n, H. Krim n & B. Riggan*

author keywords: Sensor fusion; Sensor phenomena and characterization; Generators; Sensor systems; Generative adversarial networks; Feature extraction; Multi-modal sensors; target detection; Generative Adversarial Networks (GAN); Event Driven Fusion
TL;DR: This work exploits selected optimal features from an estimated latent space of data across all modalities, learned via a generative network conditioned on individual sensor modalities and shows that such an approach can achieve automatic system robustness against noisy/damaged sensors. (via Semantic Scholar)
Source: Web Of Science
Added: January 19, 2021

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