Guideline knowledge is helpful for LLM (Large Language Model) based Agent in embody task planning. In this work, we introduce Textgrad to optimize the Guideline knowledge for the agent's embodied tasks. this allow...
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Directed Energy Deposition (DED) is an additive manufacturing (AM) method with applications in the aerospace, automotive, and healthcare sectors. In such complex and high-stakes applications, accurate and reliable mon...
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the proceedings contain 71 papers. the topics discussed include: stock market movement prediction using LDA-online learning model;benefits and challenges in the use of big data and AI;human body model using multiple d...
ISBN:
(纸本)9781538658895
the proceedings contain 71 papers. the topics discussed include: stock market movement prediction using LDA-online learning model;benefits and challenges in the use of big data and AI;human body model using multiple depth camera for gait analysis;multi-label class-imbalanced action recognition in hockey videos via 3D convolutional neural networks;development and reconstitution of software quality measurement and evaluation standards;Hadoop based demography big data management system;recommendation statements identification in clinical practice guidelines using heuristic patterns;estimation improvement of objective scores of answer statements with consideration of semantic similarity;social media comment management using SMOTE and random forest algorithms;an improved partitioning heuristic for solving TSP: an empirical study;interactive distance media learning collaborative based on virtual reality with solar system subject;global minimal diagnosis algorithm for repair incoherent mappings in ontology alignment;and an improvement on ArUco marker for pose tracking using Kalman filter.
Two variables (planning and organisation of e-tutorials, and knowledge of the subject matter, before and during covid-19) are preliminarily considered to assess e-tutoring in an engineering department of the Universit...
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Audio recordings contain very sensitive content, such as historical archival material in public archives that protects and conserves our cultural heritage, digital evidence in the context of law enforcement, the onlin...
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In the design of collaborative software in a traditional way, it is often overlooked how complex user interactions become in a social context. this article presents a systematic literature review, investigating the mo...
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Machine learning (ML) has been widely adopted in modern software, but the manual configuration of ML (e.g., hyper-parameter configuration) poses a significant challenge to software developers. therefore, automated ML ...
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ISBN:
(纸本)9798350311846
Machine learning (ML) has been widely adopted in modern software, but the manual configuration of ML (e.g., hyper-parameter configuration) poses a significant challenge to software developers. therefore, automated ML (AutoML), which seeks the optimal configuration of ML automatically, has received increasing attention from the softwareengineering community. However, to date, there is no comprehensive understanding of how AutoML is used by developers and what challenges developers encounter in using AutoML for software development. To fill this knowledge gap, we conduct the first study on understanding the use and challenges of AutoML from software developers' perspective. We collect and analyze 1,554 AutoML downstream repositories, 769 AutoML-related Stack Overflow questions, and 1,437 relevant Github issues. the results suggest the increasing popularity of AutoML in a wide range of topics, but also the lack of relevant expertise. We manually identify specific challenges faced by developers for AutoML-enabled software. Based on the results, we derive a series of implications for AutoML framework selection, framework development, and research.
the Coronavirus disease 2019 (COVID-19) outbreak quickly spread around the world, resulting in over 240 million infections and 4 million deaths by Oct 2021. While the virus is spreading from person to person silently,...
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ISBN:
(纸本)9781665495943
the Coronavirus disease 2019 (COVID-19) outbreak quickly spread around the world, resulting in over 240 million infections and 4 million deaths by Oct 2021. While the virus is spreading from person to person silently, fear has also been spreading around the globe. the COVID-19 information from the Australian Government is convincing but not timely or detailed, and there is much information on social networks with both facts and rumors. As software engineers, we have spontaneously and rapidly constructed a COVID-19 information dashboard aggregating reliable information semi-automatically checked from different sources for providing one-stop information sharing site about the latest status in Australia. Inspired by the John Hopkins University COVID-19 Map, our dashboard contains the case statistics, case distribution, government policy, latest news, with interactive visualization. In this paper, we present a participant's in-person observations in which the authors acted as founders of https://***/serving more than 830K users with 14M page views since March 2020. According to our first-hand experience, we summarize 9 lessons for developers, researchers and instructors. these lessons may inspire the development, research and teaching in software engineer aspects for coping with similar public crises in the future.
Reverse engineering is a critical process in softwareengineering and communication networks, playing a vital role in optimizing protocols and complex systems. By enabling the analysis and understanding of existing st...
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the history of animation began in the late 19th century. At that time, it was a new way to present films. In those days, there was no screen or projector. the only way to watch movies is through magic lanterns and sha...
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