Sensing and machine learning for automotive perception: a review by Pandharipande, Ashish, Cheng, Chih-Hong, Dauwels, Justin, Gurbuz, Sevgi Z., Ibanez-Guzman, Javier, Li, Guofa, Piazzoni, Andrea, Wang, Pu, Santra, Avik

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Detection of faults in machines using power signatures and assessment of faults on energy consumption by Lin, Ian Liyang.

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Opening the AI Black Box: Distilling Machine-Learned Algorithms into Code by Michaud, Eric J., Liao, Isaac, Lad, Vedang, Liu, Ziming, Mudide, Anish, Loughridge, Chloe, Guo, Zifan Carl, Kheirkhah, Tara Rezaei, Vukelić, Mateja, Tegmark, Max

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Machine-Learning-Assisted Analysis of Visible Spectroscopy in Pulsed-Power-Driven Plasmas by Datta, Rishabh, Ahmed, Faez, Hare, Jack D.

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MLTCP: A Distributed Technique to Approximate Centralized Flow Scheduling For Machine Learning by Rajasekaran, Sudarsanan, Narang, Sanjoli, Zabreyko, Anton A., Ghobadi, Manya

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Vista: Machine Learning based Database Performance Troubleshooting Framework in Amazon RDS by Singh, Vikramank, Song, Zhao, Narayanaswamy, Balakrishnan (Murali), Vaidya, Kapil Eknath, Kraska, Tim

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Machine Learning‐Guided Computational Screening of New Candidate Reactions with High Bioorthogonal Click Potential by Stuyver, Thijs, Coley, Connor W

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Reproducing Reaction Mechanisms with Machine‐Learning Models Trained on a Large‐Scale Mechanistic Dataset by Joung, Joonyoung F, Fong, Mun Hong, Roh, Jihye, Tu, Zhengkai, Bradshaw, John, Coley, Connor W

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Integrating high-sensitivity photodetector and high-energy aqueous battery in all-in-one triple-twisted fiber by Lu, Zecheng, Chen, Long, Zhou, Jianxian, He, Bing, Liu, Ruijian, Zhu, Chengjun, Xue, Pan, Sun, Yan, Li, Chunsheng, Wei, Lei, Li, Qingwen, Zhang, Qichong

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Hermes: Boosting the Performance of Machine-Learning-Based Intrusion Detection System through Geometric Feature Learning by Zhang, Chaoyu, Shi, Shanghao, Wang, Ning, Xu, Xiangxiang, Li, Shaoyu, Zheng, Lizhong, Marchany, Randy, Gardner, Mark, Hou, Y. Thomas, Lou, Wenjing

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Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review by Birdi, Sharon, Rabet, Roxana, Durant, Steve, Patel, Atushi, Vosoughi, Tina, Shergill, Mahek, Costanian, Christy, Ziegler, Carolyn P., Ali, Shehzad, Buckeridge, David, Ghassemi, Marzyeh, Gibson, Jennifer, John-Baptiste, Ava, Macklin, Jillian, McCradden, Melissa, McKenzie, Kwame

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Judging facts, judging norms: Training machine learning models to judge humans requires a modified approach to labeling data by Balagopalan, Aparna, Madras, David, Yang, David H., Hadfield-Menell, Dylan, Hadfield, Gillian K., Ghassemi, Marzyeh

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Practical Exocompilation for Performance Engineers in User-Schedulable Languages by Qian, Kevin

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Improved methodology for evaluating adversarial robustness in deep neural networks by Lee, Kyungmi,(Computer scientist)Massachusetts Institute of Technology.

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Quantum Speed-ups for String Synchronizing Sets, Longest Common Substring, and \(k\) -mismatch Matching by Jin, Ce, Nogler, Jakob

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16.36 Communication Systems Engineering, Spring 2003 by Modiano, Eytan H.

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Incorporating Energy Storage in the Design of an All-electric Naval Vessel by Tavagnutti, Andrea Alessia, Atchison, Hayden, Chalfant, Julie, Chryssostomidis, Chryssostomos, Wetz, David, Sulligoi, Giorgio

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Gelation, clustering, and crowding in the electrical double layer of ionic liquids by Goodwin, Zachary AH, McEldrew, Michael, Pedro de Souza, J, Bazant, Martin Z, Kornyshev, Alexei A

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Intelligent disassembly of electric-vehicle batteries: a forward-looking overview by Meng, Kai, Xu, Guiyin, Peng, Xianghui, Youcef-Toumi, Kamal, Li, Ju

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Modeling, air balancing and optimal pressure set-point selection for the ventilation system with minimized energy consumption by Jing, Gang, Cai, Wenjian, Zhang, Xin, Cui, Can, Yin, Xiaohong, Xian, Huacai

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