2023
DOI: 10.1016/j.engappai.2023.106111
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DeepDrive: A braking decision making approach using optimized GAN and Deep CNN for advanced driver assistance systems

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Cited by 8 publications
(2 citation statements)
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“…Interaction systems that include organizational change theory and transformational growth affect informed judgments (Vilda, Yagüe Fabra, & Torrents, 2019). The indicated systems use platforms and technology to encourage teamwork and cross-functional communication, representing the key premise of applied university expansion (Veluchamy, Mahesh, Bharathi A., & Sheeba, 2023). Businesses need a thorough requirements evaluation before transforming systems.…”
Section: Interaction System and Informed Decision-makingmentioning
confidence: 99%
“…Interaction systems that include organizational change theory and transformational growth affect informed judgments (Vilda, Yagüe Fabra, & Torrents, 2019). The indicated systems use platforms and technology to encourage teamwork and cross-functional communication, representing the key premise of applied university expansion (Veluchamy, Mahesh, Bharathi A., & Sheeba, 2023). Businesses need a thorough requirements evaluation before transforming systems.…”
Section: Interaction System and Informed Decision-makingmentioning
confidence: 99%
“…The CNN can mine the local spatial features related to brake pad wear, but it is difficult to extract longer time series data [28]. Therefore, this paper uses the LSTM network to further process the feature vector output by the CNN model and construct the relationship between the sample features and the time series.…”
Section: 2 Long Short-term Memory (Lstm) Neural Networkmentioning
confidence: 99%