Zobrazeno 1 - 10
of 38 720
pro vyhledávání: '"A. Vinh"'
Autor:
Mahjourian, Nazanin, Nguyen, Vinh
Manufacturing requires reliable object detection methods for precise picking and handling of diverse types of manufacturing parts and components. Traditional object detection methods utilize either only 2D images from cameras or 3D data from lidars o
Externí odkaz:
http://arxiv.org/abs/2411.09062
Human understanding of language is robust to different word choices as far as they represent similar semantic concepts. To what extent does our human intuition transfer to language models, which represent all subwords as distinct embeddings? In this
Externí odkaz:
http://arxiv.org/abs/2411.04530
Autor:
Mobbs, Rowena, Nasrallah, Fatima, To, Xuan Vinh, Magnussen, John, Batchelor, Jennifer, Hsiao, Edward, Walterfang, Mark
Objectives: This study examined whether currently existing clinical structural magnetic resonance imaging (MRI) and fluorodeoxyglucose positron emission tomography (18FDG-PET) capabilities and board-certified radiologists' reports and interpretations
Externí odkaz:
http://arxiv.org/abs/2411.04334
Scatterometry is a tested method for measuring periodic semiconductor structures. Since the sizes of modern semiconductor structures have reached the nanoscale regime, the challenge is to determine the shape of periodic nanostructures with sub-nanome
Externí odkaz:
http://arxiv.org/abs/2410.24048
Autor:
Le, Cuong Chi, Truong-Vinh, Hoang-Chau, Phan, Huy Nhat, Le, Dung Duy, Nguyen, Tien N., Bui, Nghi D. Q.
Predicting program behavior and reasoning about code execution remain significant challenges in software engineering, particularly for large language models (LLMs) designed for code analysis. While these models excel at understanding static syntax, t
Externí odkaz:
http://arxiv.org/abs/2410.23402
Autor:
Nguyen, Vinh
Generating detailed descriptions from multiple cameras and viewpoints is challenging due to the complex and inconsistent nature of visual data. In this paper, we introduce PerspectiveNet, a lightweight yet efficient model for generating long descript
Externí odkaz:
http://arxiv.org/abs/2410.16824
Automatic polyp segmentation is crucial for effective diagnosis and treatment in colonoscopy images. Traditional methods encounter significant challenges in accurately delineating polyps due to limitations in feature representation and the handling o
Externí odkaz:
http://arxiv.org/abs/2410.01210
Autor:
Luong, Vinh, Dinh, Sang, Raghavan, Shruti, Nguyen, William, Nguyen, Zooey, Le, Quynh, Vo, Hung, Maegaito, Kentaro, Nguyen, Loc, Nguyen, Thao, Ha, Anh Hai, Nguyen, Christopher
Large Language Models (LLMs) have shown remarkable capabilities, but their inherent probabilistic nature often leads to inconsistency and inaccuracy in complex problem-solving tasks. This paper introduces DANA (Domain-Aware Neurosymbolic Agent), an a
Externí odkaz:
http://arxiv.org/abs/2410.02823
Autor:
Alevizos, Lampis, Ta, Vinh Thong
To address the challenges of internal security policy compliance and dynamic threat response in organizations, we present a novel framework that integrates artificial intelligence (AI), blockchain, and smart contracts. We propose a system that automa
Externí odkaz:
http://arxiv.org/abs/2409.08390
Advances in information extraction have enabled the automatic construction of large knowledge graphs (e.g., Yago, Wikidata or Google KG), which are widely used in many applications like semantic search or data analytics. However, due to their semi-au
Externí odkaz:
http://arxiv.org/abs/2409.07869