Zobrazeno 1 - 10
of 844
pro vyhledávání: '"A. Kuzminykh"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-2-W7-2024, Pp 81-87 (2024)
This paper presents a novel multi-stereo camera system for robust indoor localization, leveraging point cloud data and temporal fusion techniques. The system integrates three synchronized stereo cameras to capture point clouds from multiple angles, e
Externí odkaz:
https://doaj.org/article/6814d4d9159f46229380acf595d404d8
Autor:
Kuzminykh, Ievgeniia, Nawaz, Tareita, Shenzhang, Shihao, Ghita, Bogdan, Raphael, Jeffery, Xiao, Hannan
AI tools, particularly large language modules, have recently proven their effectiveness within learning management systems and online education programmes. As feedback continues to play a crucial role in learning and assessment in schools, educators
Externí odkaz:
http://arxiv.org/abs/2410.11904
Despite a plethora of research dedicated to designing HITs for non-workstations, there is a lack of research looking specifically into workers' perceptions of the suitability of these devices for managing and completing work. In this work, we fill th
Externí odkaz:
http://arxiv.org/abs/2409.04676
Crowdsourcing platforms have traditionally been designed with a focus on workstation interfaces, restricting the flexibility that crowdworkers need. Recognizing this limitation and the need for more adaptable platforms, prior research has highlighted
Externí odkaz:
http://arxiv.org/abs/2409.04658
As Artificial Intelligence (AI) changes how businesses work, there is a growing need for people who can work in this sector. This paper investigates how well universities in United Kingdom offering courses in AI, prepare students for jobs in the real
Externí odkaz:
http://arxiv.org/abs/2408.10788
Identity Access Management (IAM) is an area posing significant challenges, particularly in the context of remote connectivity and distributed or cloud-based systems. A wide range of technical solutions have been proposed by prior research, but the in
Externí odkaz:
http://arxiv.org/abs/2408.10634
Autor:
Kumar, Harsh, Yoo, Suhyeon, Bernuy, Angela Zavaleta, Shi, Jiakai, Luo, Huayin, Williams, Joseph, Kuzminykh, Anastasia, Anderson, Ashton, Kornfield, Rachel
Although engagement in self-directed wellness exercises typically declines over time, integrating social support such as coaching can sustain it. However, traditional forms of support are often inaccessible due to the high costs and complex coordinat
Externí odkaz:
http://arxiv.org/abs/2407.13067
An essential aspect of evaluating Large Language Models (LLMs) is identifying potential biases. This is especially relevant considering the substantial evidence that LLMs can replicate human social biases in their text outputs and further influence s
Externí odkaz:
http://arxiv.org/abs/2405.11048
As large language models (LLMs) advance to produce human-like arguments in some contexts, the number of settings applicable for human-AI collaboration broadens. Specifically, we focus on subjective decision-making, where a decision is contextual, ope
Externí odkaz:
http://arxiv.org/abs/2404.12558
Recent chart-authoring systems, such as Amazon Q in QuickSight and Copilot for Power BI, demonstrate an emergent focus on supporting natural language input to share meaningful insights from data through chart creation. Currently, chart-authoring syst
Externí odkaz:
http://arxiv.org/abs/2404.05103