Publications (11)
A Novel Approach for Deterioration and Damage Identification in Building Structures Based on Stockwell-Transform and Deep Convolutional Neural Network
Vahidreza Gharehbaghi, Hashem Kalbkhani, Ehsan Noroozinejad Farsangi +4
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 type…
Application of 2-D Convolutional Neural Networks for Damage Detection in Steel Frame Structures
Shahin Ghazvineh, Gholamreza Nouri, Seyed Hossein Hosseini Lavassani +2
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…
Safe Reference Tracking and Collision Avoidance for Taxiing Aircraft Using an MPC-CBF Framework
Brooks A. Butler, Zarif Cabrera, Andy Nguyen +1
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-plan…
EvoSTS Forecasting: Evolutionary Sparse Time-Series Forecasting
Ethan Jacob Moyer, Alisha Isabelle Augustin, Satvik Tripathi +5
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 S…
Learning Program Embeddings to Propagate Feedback on Student Code
Chris Piech, Jonathan Huang, Andy Nguyen +3
Providing feedback, both assessing final work and giving hints to stuck students, is difficult for open-ended assignments in massive online classes which can range from thousands t…
Solving Cyclic Longest Common Subsequence in Quadratic Time
Andy Nguyen
We present a practical algorithm for the cyclic longest common subsequence (CLCS) problem that runs in O(mn) time, where m and n are the lengths of the two input strings. While thi…
Artificial intelligence application in lymphoma diagnosis: from Convolutional Neural Network to Vision Transformer
Daniel Rivera, Jacob Huddin, Alexander Banerjee +6
Recently, vision transformers were shown to be capable of outperforming convolutional neural networks when pretrained on sufficiently large datasets. Vision transformer models show…
Telepathology in Hematopathology Diagnostics: A Collaboration Between Ho Chi Minh City Oncology Hospital and University of Texas Health-McGovern Medical School
Uyen Ly, Quang Nguyen, Dang Nguyen +7
Digital pathology in the form of whole-slide-imaging has been used to support diagnostic consultation through telepathology. Previous studies have mostly addressed the technical as…
Efficient, Out-of-Memory Sparse MTTKRP on Massively Parallel Architectures
Andy Nguyen, Ahmed E. Helal, Fabio Checconi +6
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 accele…
ByteRover: Agent-Native Memory Through LLM-Curated Hierarchical Context
Andy Nguyen, Danh Doan, Hoang Pham +8
Memory-Augmented Generation (MAG) extends large language models with external memory to support long-context reasoning, but existing approaches universally treat memory as an exter…
Influence of image noise on crack detection performance of deep convolutional neural networks
Riccardo Chianese, Andy Nguyen, Vahidreza Gharehbaghi +2
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…