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pro vyhledávání: '"Singh, Aryan"'
Determining the underlying equations of motion and parameter values for vibrating structures is of great concern in science and engineering. This work introduces a new data-driven approach called the energy-based dual-phase dynamics identification (E
Externí odkaz:
http://arxiv.org/abs/2410.17845
Autor:
Manzoor, Anam, Singh, Aryan, Sistu, Ganesh, Mohandas, Reenu, Grua, Eoin, Scanlan, Anthony, Eising, Ciarán
Publikováno v:
Proceedings of the Irish Machine Vision and Image Processing Conference 2024
This study investigates the effectiveness of modern Deformable Convolutional Neural Networks (DCNNs) for semantic segmentation tasks, particularly in autonomous driving scenarios with fisheye images. These images, providing a wide field of view, pose
Externí odkaz:
http://arxiv.org/abs/2407.16647
In this study, we present the Graph Sub-Graph Network (GSN), a novel hybrid image classification model merging the strengths of Convolutional Neural Networks (CNNs) for feature extraction and Graph Neural Networks (GNNs) for structural modeling. GSN
Externí odkaz:
http://arxiv.org/abs/2407.14772
This paper describes the architecture and systems built towards solving the SemEval 2023 Task 2: MultiCoNER II (Multilingual Complex Named Entity Recognition) [1]. We evaluate two approaches (a) a traditional Conditional Random Fields model and (b) a
Externí odkaz:
http://arxiv.org/abs/2401.00698
Predicting the trajectory of an ego vehicle is a critical component of autonomous driving systems. Current state-of-the-art methods typically rely on Deep Neural Networks (DNNs) and sequential models to process front-view images for future trajectory
Externí odkaz:
http://arxiv.org/abs/2312.13104
Publikováno v:
AICS 2023
Deep learning models have demonstrated remarkable results for various computer vision tasks, including the realm of medical imaging. However, their application in the medical domain is limited due to the requirement for large amounts of training data
Externí odkaz:
http://arxiv.org/abs/2311.07321
Publikováno v:
Proceedings of the Irish Machine Vision and Image Processing Conference 2023
Graph-based neural network models are gaining traction in the field of representation learning due to their ability to uncover latent topological relationships between entities that are otherwise challenging to identify. These models have been employ
Externí odkaz:
http://arxiv.org/abs/2307.12790
Date: 2021-06-03 Level: Bachelor Thesis in Business Administration, 15 cr Institution: School of Business, Society and Engineering, Mälardalen University Authors: Aryan Singh Omar Eyad Shaheen Mohammad Title: How Market Intelligence Helps With Prici
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-54436
Autor:
Poceviciute, Roberta, Mitchell, Kenneth, Nikolakopoulou, Angeliki Maria, Cho, Suehyun K., Ma, Xiaobo, Chen, Phillip, Figueroa, Samantha, Sarmiento, Ethan J., Singh, Aryan, Hartstein, Oren, Loudon, William G., Cros, Florent, Kiselyov, Alexander S.
Publikováno v:
In Neuroimage: Reports December 2024 4(4)
Autor:
Chen, Tianhao, Lau, Kylie Sin Ki, Singh, Aryan, Zhang, Yi Xin, Taromsari, Sara Mohseni, Salari, Meysam, Naguib, Hani E., Morshead, Cindi M.
Publikováno v:
In Biomaterials April 2025 315