Results 221 to 230 of about 169,559 (249)

Research on public library user profile based on conceptual grid in the context of cultural and tourism integration

Frontiers in Interdisciplinary Educational Methodology
This study aims to enhance the cultural tourism service capabilities of public libraries to meet the diverse cultural tourism needs of users. To achieve this goal, Python was used to obtain user review data of the National Library of China from the ...
Hui Bai
semanticscholar   +1 more source

A modular and extensible library for parameterized terrain generation

arXiv.org
Simulation-driven development of intelligent machines benefits from artificial terrains with controllable, well-defined characteristics. However, most existing tools for terrain generation focus on artist-driven workflows and visual realism, with limited
Erik Wallin
semanticscholar   +1 more source

KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction

Annual Meeting of the Association for Computational Linguistics
In this paper, we propose KnowCoder, a Large Language Model (LLM) to conduct Universal Information Extraction (UIE) via code generation. KnowCoder aims to develop a kind of unified schema representation that LLMs can easily understand and an effective ...
Zixuan Li, Yutao Zeng, Yuxin Zuo, Weicheng Ren, Wenxuan Liu, Miao Su, Yucan Guo, Yantao Liu, Xiang Li, Zhilei Hu, Long Bai, Wei Li, Yidan Liu, Pan Yang, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng   +16 more
semanticscholar   +1 more source

Understanding and Analysing Causal Relations through Modelling using Causal Machine Learning

International Journal of Computational and Experimental Science and Engineering
The study of causal inference has gained significant attention in artificial intelligence (AI) and machine learning (ML), particularly in areas such as explainability, automated diagnostics, reinforcement learning, and transfer learning..
D. N. Jyothi, U. N. Dulhare
semanticscholar   +1 more source

Attention-based hybrid convolutional-long short-term memory network for bridge pier hysteresis and backbone curves prediction

Integr. Comput. Aided Eng.
This paper proposes a solution to the problem of automatically predicting hysteresis and backbone curves of bridge piers under seismic loads. The proposed solution utilizes a stacked hybrid Convolutional Neural Network-bidirectional Cuda Deep Neural ...
O. Yazdanpanah, Minwoo Chang, Ensieh Ali Bakhshi   +2 more
semanticscholar   +1 more source

CAD-Coder:Text-Guided CAD Files Code Generation

arXiv.org
Computer-aided design (CAD) is a way to digitally create 2D drawings and 3D models of real-world products. Traditional CAD typically relies on hand-drawing by experts or modifications of existing library files, which doesn't allow for rapid ...
Changqi He, Shuhan Zhang, Liguo Zhang, Jiajun Miao   +3 more
semanticscholar   +1 more source

Modelling and Conversion of Heterogeneous Modbus Protocols Based on UML and MySQL

CAIBDA
With the development of industrial fieldbus technology, Modbus derives many different variants of protocols, and the communication between devices using different Modbus protocols faces certain challenges.
Weiming Tong, Enrui Zhang, Jiaqi Shen, Wenqi Jiang, Zhongwei Li   +4 more
semanticscholar   +1 more source

Three-Dimensional Path Planning: Navigating through Rough Mereology

arXiv.org
In this paper, we present an innovative technique for the path planning of flying robots in a 3D environment in Rough Mereology terms. The main goal was to construct the algorithm that would generate the mereological potential fields in 3-dimensional ...
Aleksandra Szpakowska, Piotr Artiemjew
semanticscholar   +1 more source

UNDERSTANDING THE MATHEMATICAL BACKGROUND OF MODERN PORTFOLIO THEORY

Pressacademia
Purpose- Modern Portfolio Theory (MPT), pioneered by Harry Markowitz, provides a quantitative framework for portfolio optimization by balancing risk and return through diversification.
Ibrahim Kaya
semanticscholar   +1 more source

AI-Driven Personal Desktop Assistant

2024 IEEE 2nd International Conference on Innovations in High Speed Communication and Signal Processing (IHCSP)
The purpose of developing technical AI is enabling realistic human-machine transmission. Various IT-based organizations used conversation networks technology to construct different types of Virtual A.I Assistants like Alexa, Cortana, Google Assistant ...
Ayush Dobriyal, Daksh Rawat, S. Vats, V. Sharma   +3 more
semanticscholar   +1 more source