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Pruning CNNs for LiDAR-based Perception in Resource Constrained Environments., , , , , , , , and . IV Workshops, page 228-235. IEEE, (2021)Data Driven Prediction of Battery Cycle Life Before Capacity Degradation., , , and . CoRR, (2021)Adversarial Robust Model Compression Using In-Train Pruning., , , , , , , , , and 2 other author(s). CVPR Workshops, page 66-75. Computer Vision Foundation / IEEE, (2021)AnaCoNGA: Analytical HW-CNN Co-Design Using Nested Genetic Algorithms., , , , , , , , , and 3 other author(s). DATE, page 238-243. IEEE, (2022)Incorporation of DNA methylation into eQTL mapping in African Americans., , , , , , and . PSB, WorldScientific, (2021)Hardware-Aware Mixed-Precision Neural Networks using In-Train Quantization., , , , , , , , and . BMVC, page 60. BMVA Press, (2021)Dynamic Reactive Modules., , , , , and . CONCUR, volume 6901 of Lecture Notes in Computer Science, page 404-418. Springer, (2011)Operational Age Estimation of ICs using Gaussian Process Regression., , , and . DFT, page 1-5. IEEE, (2022)Ontology-Driven Sentiment Analysis in Indian Healthcare Sector., , , and . FICTA (2), volume 1177 of Advances in Intelligent Systems and Computing, page 69-85. Springer, (2020)Preventing versus curing: avoiding conflicts in transactional memories., , , and . PODC, page 7-16. ACM, (2009)