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SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size, , , , , and . (2016)cite arxiv:1602.07360Comment: In ICLR Format.Experimental investigation of temperature and relative humidity effects on resonance frequency and quality factor of CMOS-MEMS paddle resonator., , , , , and . Microelectron. Reliab., (2016)Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks., , , and . CoRR, (2017)SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size., , , , , and . CoRR, (2016)FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters., , , and . CVPR, page 2592-2600. IEEE Computer Society, (2016)Temperature dependent Young's modulus and quality factor of CMOS-MEMS resonator: Modelling and experimental approach., , , , , and . Microelectron. Reliab., (2016)Shallow Networks for High-Accuracy Road Object-Detection., , , , and . CoRR, (2016)Sepsis Prediction and Vital Signs Ranking in Intensive Care Unit Patients., and . CoRR, (2018)File Management in a Mobile DHT-based P2P Environment., , and . AINA, page 415-422. IEEE Computer Society, (2012)Shallow Networks for High-accuracy Road Object-detection., , , , and . VEHITS, page 33-40. SciTePress, (2017)