Zobrazeno 1 - 10
of 659
pro vyhledávání: '"Nguyen, Andy"'
In this paper, we develop a framework for the automatic taxiing of aircraft between hangar and take-off given a graph-based model of an airport. We implement a high-level path-planning algorithm that models taxiway intersections as nodes in an undire
Externí odkaz:
http://arxiv.org/abs/2410.03890
Autor:
Allam, Kareem, Wang, Xiaohong Iris, Zhang, Songlin, Ding, Jianmin, Chiu, Kevin, Saluja, Karan, Wahed, Amer, Sun, Hongxia, Nguyen, Andy N. D.
Deep learning has been shown to be useful to detect breast cancer metastases by analyzing whole slide images of sentinel lymph nodes. However, it requires extensive scanning and analysis of all the lymph nodes slides for each case. Our deep learning
Externí odkaz:
http://arxiv.org/abs/2301.05938
Publikováno v:
Information and Learning Sciences, 2023, Vol. 125, Issue 1/2, pp. 68-108.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ILS-07-2023-0091
Autor:
Moyer, Ethan Jacob, Augustin, Alisha Isabelle, Tripathi, Satvik, Dholakia, Ansh Aashish, Nguyen, Andy, Isozaki, Isamu Mclean, Schwartz, Daniel, Kim, Edward
In this work, we highlight our novel evolutionary sparse time-series forecasting algorithm also known as EvoSTS. The algorithm attempts to evolutionary prioritize weights of Long Short-Term Memory (LSTM) Network that best minimize the reconstruction
Externí odkaz:
http://arxiv.org/abs/2204.07066
Autor:
Nguyen, Andy, Helal, Ahmed E., Checconi, Fabio, Laukemann, Jan, Tithi, Jesmin Jahan, Soh, Yongseok, Ranadive, Teresa, Petrini, Fabrizio, Choi, Jee W.
Tensor decomposition (TD) is an important method for extracting latent information from high-dimensional (multi-modal) sparse data. This study presents a novel framework for accelerating fundamental TD operations on massively parallel GPU architectur
Externí odkaz:
http://arxiv.org/abs/2201.12523
Autor:
Nguyen, Andy
Thesis advisor: John Baldovin
Thesis advisor: Joseph Weiss
Thesis (STL) — Boston College, 2020.
Submitted to: Boston College. School of Theology and Ministry.
Discipline: Sacred Theology.
Thesis advisor: Joseph Weiss
Thesis (STL) — Boston College, 2020.
Submitted to: Boston College. School of Theology and Ministry.
Discipline: Sacred Theology.
Externí odkaz:
http://hdl.handle.net/2345/bc-ir:108878
Autor:
Gharehbaghi, Vahidreza, Kalbkhani, Hashem, Farsangi, Ehsan Noroozinejad, Yang, T. Y., Nguyen, Andy, Mirjalili, Seyedali, Malaga-Chuquitaype, C.
In this paper, a novel deterioration and damage identification procedure (DIP) is presented and applied to building models. The challenge associated with applications on these types of structures is related to the strong correlation of responses, whi
Externí odkaz:
http://arxiv.org/abs/2111.06155
Publikováno v:
10th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 10, 2021
Development of deep learning techniques to analyse image data is an expansive and emerging field. The benefits of tracking, identifying, measuring, and sorting features of interest from image data has endless applications for saving cost, time, and i
Externí odkaz:
http://arxiv.org/abs/2111.02079
Autor:
Ghazvineh, Shahin, Nouri, Gholamreza, Lavassani, Seyed Hossein Hosseini, Gharehbaghi, Vahidreza, Nguyen, Andy
In this paper, we present an application of 2-D convolutional neural networks (2-D CNNs) designed to perform both feature extraction and classification stages as a single organism to solve the highlighted problems. The method uses a network of lighte
Externí odkaz:
http://arxiv.org/abs/2110.15895