2023
DOI: 10.1016/j.engappai.2023.106304
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DCServCG: A data-centric service code generation using deep learning

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Cited by 8 publications
(3 citation statements)
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“…The DC-AI paradigm has already achieved breakthroughs in many AI applications such as reducing the time from the implementation to the deployment of AI models, training AI models with fewer data, accelerating the convergence of AI models, reducing the overall complexity of AI models, reducing the cost of AI technology by exploiting the code of already-developed models, and extending AI applications [59][60][61][62][63]. The umbrella of DC-AI applications and techniques is constantly expanding, and therefore, the adoption of AI technology is increasing worldwide.…”
Section: Case Study (Proof Of Concept Example) To Evaluate the Effect...mentioning
confidence: 99%
“…The DC-AI paradigm has already achieved breakthroughs in many AI applications such as reducing the time from the implementation to the deployment of AI models, training AI models with fewer data, accelerating the convergence of AI models, reducing the overall complexity of AI models, reducing the cost of AI technology by exploiting the code of already-developed models, and extending AI applications [59][60][61][62][63]. The umbrella of DC-AI applications and techniques is constantly expanding, and therefore, the adoption of AI technology is increasing worldwide.…”
Section: Case Study (Proof Of Concept Example) To Evaluate the Effect...mentioning
confidence: 99%
“…Deep learning is a subcategory of machine learning that focuses on algorithms inspired by the structure and function of the brain, called artificial neural networks (Chan, et al, 2016;Kothadiya et al, 2022, Alizadehsani et al, 2023. These networks, especially when they have many (deep) layers, have proven to be extremely effective in a variety of AI tasks.…”
Section: History and Evolution From Ai To Generative Aimentioning
confidence: 99%
“…DL leverages the power of large-scale computing and vast amounts of data [17] to enable neural networks to perform sophisticated tasks, such as image and speech recognition, NLP, and even autonomous decision-making. By emulating the structure and functionality of the human brain, DL has revolutionized AI by significantly enhancing the accuracy and performance of various applications [18] including medical image analysis (MIA) [19], while also demanding substantial computational resources.…”
mentioning
confidence: 99%