Artificial Intelligence
Datasets and code in "Do Deep Learning Models Indeed Understand Software Engineering Tasks?"Do Deep Learning Models Indeed Understand
Software Engineering Tasks?Do Deep Learning Models Indeed Understand
Software Engineering Tasks?Do Deep Learning Models Indeed Understand
Software Engineering Tasks?
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Datasets and code in "Do Deep Learning Models Indeed Understand Software Engineering Tasks?"Do Deep Learning Models Indeed Understand
Software Engineering Tasks?Do Deep Learning Models Indeed Understand
Software Engineering Tasks?Do Deep Learning Models Indeed Understand
Software Engineering Tasks?
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这是从视频中提取的 5 个等级的 ppd 数据集
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The RAHG experimental data includes six public datasets and one self-built dataset. The experimental process of RAHG on these seven datasets is also recorded in it
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The RAHG experimental data includes four public datasets and one self-built dataset. The experimental process of RAHG on these five datasets is also recorded.
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*** The paper published on Multimedia Tools and Applications (Springer) - 2024 ***
*** Title: "SPRITZ-PS: Vlaidation of Synthetic Face Images Using A Large Dataset of Printed Docuemnts"***
*** Authors: Ehsan Nowroozi, Yoosef Habibi, and Mauro Conti ***
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The code is the sequence of prying grasp. The failure detection and recovery are included in the code.
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Drone based wildfire detection and modeling methods enable high-precision, real-time fire monitoring that is not provided by traditional remote fire monitoring systems, such as satellite imaging. Precise, real-time information enables rapid, effective wildfire intervention and management strategies. Drone systems’ ease of deployment, omnidirectional maneuverability, and robust sensing capabilities make them effective tools for early wildfire detection and evaluation, particularly so in environments that are inconvenient for humans and/or terrestrial vehicles.
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In the last few years, several organizations have manifested their concern over the increase in use of Hateful Speech or Hate Speech for short, this concept refers to forms of expression or audio-visual content that encourage discrimination or violence against individuals or groups solely based on their gender, sexual orientation, ethnicity, religion or nationality.
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