Nevertheless, we continue to press on with research on increasing classification accuracy. In the Machine Learning literature isolated studies suggest that it is possible to weaken this assumption and still learn effeFoster Pro...
Savkovic, Milena,Ciric Lalic, Danijela - The International Conference on Artificial Intelligence and Applied Mathematics in Engineering 被引量: 0发表: 2024年 Machine learning in the discipline of architecture: A review on the research trends between 2014 and 2020 Through the recent technological develo...
Such a large number of studies hinders the community from understanding the current research landscape. This paper aims to summarize the current knowledge in applied machine learning for source code analysis. We review studies belonging to twelve categories of software engineering tasks and corresponding...
This study aims to present an overall review of the recent research status regarding Machine Learning (ML) applications in machining processes. In the current industrial systems, processes require the capacity to adapt to manufacturing conditions continuously, guaranteeing high performance in terms of pro...
(This article belongs to the Special Issue Applied Machine Learning) Download keyboard_arrow_down Versions Notes 1. Introduction Machine learning (ML) is one of the most exciting fields of computing today. Over the past few decades, ML has become an entrenched part of everyday life and has ...
In addition to ensuring our generative models are highly capable, we have used a range of innovative techniques to optimize them on-device and on our private cloud for speed and efficiency. We have applied an extensive set of optimizations for both first token and extended token inference perform...
Executing AI-generated code automatically poses inherent risks. These include potential misuse by bad actors or unforeseen outcomes when AI systems operate outside of their typical, controlled environments. In developing our approach, we have taken insights from research on AI code generation and cyber...
(iii) Additionally, existing deep learning-based feature recognition research had primarily focused on machine parts for metalworking, with scarce attention given to sheet metal parts, another widely used mechanical component in the industrial sector. Therefore, a sheet metal CAD model dataset called SM...
In recent years, machine learning algorithms based on social networks have emerged and been widely applied in online public opinion research. Scholars use machine learning algorithms to study the influence of social network users, summarise user behaviour patterns through extensive training and testing of...
According to this research, considering all influential variables in machine learning methods is necessary to achieve precise models. In addition to the thermal conductivity, machine learning methods are applied for modeling other properties of nanofluids [37]. The accuracy and confidence of the ...