Artificial Intelligence; Dataset; Machine Learning

Zip includes commented Jupyter notebook with associated data files. Abstract for paper is:

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Zip includes commented Jupyter notebook with associated data files. Abstract for paper is:

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9 Views

Nasal cytology is a medicine field that focuses on the examination of nasal mucosa cells with the objective of recognizing changes in the epithelium, which is frequently subjected to acute or chronic irritation and inflammation caused by viruses, bacteria, or fungi; in the last decade, nasal cytology is becoming increasingly critical in diagnosing nasal conditions.

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Smart contract vulnerabilities have led to substantial disruptions, ranging from the DAO attack
to the recent Poolz Finance arithmetic overflow incident. While historically, the definition of smart contract
vulnerabilities lacked standardization, even with the current advancements in Solidity smart contracts, the
potential for deploying malicious contracts to exploit legitimate ones persists.
The abstract Syntax Tree (AST ), Opcodes, and Control Flow Graph (CFG) are the intermediate representa-

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This data set contains four types of road images: asphalt roads and gravel roads; Wading roads and snowy roads. It is mainly used to train road recognition models. Due to the large amount of original data, this data set only contains a part of road images. If you feel it is useful for your research, please email (wangzhangu1@163.com) to get the complete data set.

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362 Views

This data set contains four types of road images: asphalt roads and gravel roads; Wading roads and snowy roads. It is mainly used to train road recognition models. Due to the large amount of data, this data set only contains some images. If you feel it is useful for your research, please email wangzhangu1@163.com to get the complete data set.

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The real system in our experiment comprises four production stations: Pick and place, assembly, muscle compressing and sorting. These modular stations are controlled by Siemens PLC. This is the data gathered from a real manufacturing system and its Digital Twin data when under the denial of service attacks.

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484 Views

This report presents an end-to-end methodology for collecting datasets to recognize handwritten English alphabets in the Indian context by utilizing Inertial Measurement Units (IMUs) and leveraging the diversity present in the Indian writing style. The IMUs are utilized to capture the dynamic movement patterns associated with handwriting, enabling more accurate recognition of alphabets. The Indian context introduces various challenges due to the heterogeneity in writing styles across different regions and languages.

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This dataset was acquired during the dissertation entitled "Optical Camera Communications and Machine Learning for Indoor Visible Light Positioning". This work was carried out in the academic year 2020/2021 at the Instituto de Telecomunicações in Aveiro in the scope of the Integrated Master in Electronics and Telecommunications Engineering at the Department of Electronics, Telecommunication and Informatics of the University of Aveiro.

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A dataset comprising 500 data points was gathered by collecting answers to 250  computer science problems assigned in classes and quizzes from students. To generate this dataset, a response was selected from a random student for each question. The same questions were then asked to ChatGPT 3.0, and the answers were recorded. Based on the source of the response (either student or GPT), the dataset was labeled accordingly. The resulting labeled dataset includes the list of assignment and quiz questions, along with the corresponding answers from students and ChatGPT.

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