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PYDOP: A Generic Python Library for Delta-Oriented Programming

Software Product Lines Conference, 2023
Delta-Oriented Programming (DOP) is a modular and flexible approach to implement Software Product Lines (SPLs). In DOP, an SPL is structured in four parts: the feature model describes the configuration space of the SPL; the base artifact is an initial ...
Michael Lienhardt
semanticscholar   +1 more source

Optical Character Recognition (OCR) based Vehicle's License Plate Recognition System Using Python and OpenCV

2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA), 2021
License Platform Detection is a computer technology that enables us to identify digital images on the platform automatically. Different operations are covered in this system, such as imaging, number pad locations, alphanumeric character truncation and ...
Milan Samantaray   +5 more
semanticscholar   +1 more source

Bloat beneath Python's Scales: A Fine-Grained Inter-Project Dependency Analysis

Proc. ACM Softw. Eng.
Modern programming languages promote software reuse via package managers that facilitate the integration of inter-dependent software libraries.
Georgios-Petros Drosos   +3 more
semanticscholar   +1 more source

EL Greco Platform: A novel Python programming learning platform that uses a real robot

Computer Applications in Engineering Education
This paper introduces the El Greco Platform, a Python programming platform for distance learning that employs an educational robot. This website allows prospective learners to remotely control Greco, a social humanoid robot designed to be cost‐effective,
Minas Rousouliotis   +3 more
semanticscholar   +1 more source

Computer Python Network Security Monitoring System Based on Intelligent Algorithms

2024 4th International Conference on Mobile Networks and Wireless Communications (ICMNWC)
In response to the increasingly complex and diverse network security threats, a network security monitoring system is introduced that combines intelligent algorithms and Python software to achieve efficient and accurate real-time security monitoring and ...
Ren Na, Rui Xiang
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   +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

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

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