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  1. ; ; ; ; ( , Engineering Applications of Artificial Intelligence)
    Free, publicly-accessible full text available October 11, 2024
  2. ; ; ; ; ; ; ; ; ( , Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation)
  3. ; ; ; ; ; ; ( , Expert Systems with Applications)
    Free, publicly-accessible full text available October 1, 2024
  4. ; ; ; ; ; ( , IEEE Sensors Journal)
    Free, publicly-accessible full text available May 15, 2024
  5. ; ; ; ; ; ; ( , Information Sciences)
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  6. ; ; ; ; ; ; ; ; ; ( , Annual Reviews in Control)
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  7. ; ; ; ( , IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM))
    The potentials of automotive radar for autonomous driving have not been fully exploited due to the difficulty of extracting targets' information from the radar signals and the lack of radar datasets. In this paper, a novel signal processing pipeline is proposed to address the max ambiguous velocity reduction issue introduced by staggered time division multiplexing (TDM) scheme of high resolution imaging radar system with a large number of transmit antennas. A dataset of 1,410 synchronized frames (stereo cameras, LiDAR, radar) with three classes, i.e., bus, car, and people, is constructed from field experiments. Next, we implement a vanilla SpectraNet and show its promising performance on moving object detection and classification with a mean average precision (mAP) of 81.9% at an intersection over union (IoU) of 0.5. 
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  8. ; ; ; ; ; ( , International Journal of Heat and Mass Transfer)
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  9. ; ; ; ; ; ; ; ( , SPIE Medical Imaging)
    Iftekharuddin, Khan M. ; Drukker, Karen ; Mazurowski, Maciej A. ; Lu, Hongbing ; Muramatsu, Chisako ; Samala, Ravi K. (Ed.)
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  10. ; ; ; ; ; ; ( , Energy and Buildings)
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