DFBVS: deep feature-based visual servo by Adrian, Nicholas, Do, Van Thach, Pham, Quang-Cuong

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A powder-scale multiphysics framework for powder bed fusion of fiber-reinforced polymer composites by Tan, Pengfei, Zhou, Meixin, Tang, Chao, Zhou, Kun

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Enhancing the mechanical strength of Multi Jet Fusion–printed polyamide 12 and its glass fiber-reinforced composite via high-temperature annealing by Liu, Xiaojiang, Tey, Wei Shian, Choo, Jasper Yeng Chee, Chen, Jiayao, Tan, Pengfei, Cai, Chao, Ong, Adrian, Zhao, Lihua, Zhou, Kun

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Fatigue strength of additively manufactured 316L austenitic stainless steel by Kumar, Punit, Jayaraj, R., Suryawanshi, J., Satwik, U. R., McKinnell, J., Ramamurty, Upadrasta

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Controlling droplet impact velocity and droplet volume: key factors to achieving high cell viability in sub-nanoliter droplet-based bioprinting by Ng, Wei Long, Huang, Xi, Shkolnikov, Viktor, Goh, Guo Liang, Suntornnond, Ratima, Yeong, Wai Yee

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Collate: collaborative neural network learning for latency-critical edge systems by Huai, Shuo, Liu, Di, Kong, Hao, Luo, Xiangzhong, Liu, Weichen, Subramaniam, Ravi, Makaya, Christian, Lin, Qian

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EMNAPE: efficient multi-dimensional neural architecture pruning for EdgeAI by Kong, Hao, Luo, Xiangzhong, Huai, Shuo, Liu, Di, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen

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Effect of build direction on tension–tension low cycle fatigue behavior of polyamide 12 parts printed by Multi Jet fusion by Chen, Kaijuan, Teo, Benjamin How Wei, Tian, Yuanyuan, Wu, Shengchuan, Kang, Guozheng, Zhou, Kun, Zeng, Jun, Du, Hejun

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Additively manufactured dual-faced structured fabric for shape-adaptive protection by Tian, Yuanyuan, Chen, Kaijuan, Zheng, Han, Kripalani, Devesh Raju, Zeng, Zhuohong, Jarlöv, Asker, Chen, Jiayao, Bai, Lichun, Ong, Adrian, Du, Hejun, Kang, Guozheng, Fang, Qihong, Zhao, Lihua, Qi, H. Jerry, Wang, Yifan, Zhou, Kun

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Self-parameterization based multi-resolution mesh convolution networks by Shi, Hezi, Jiang, Luo, Zheng, Jianmin, Zeng, Jun

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4D printing of reprogrammable liquid crystal elastomers with synergistic photochromism and photoactuation by Chen, Mei, Hou, Yanbei, An, Ran, Qi, H. Jerry, Zhou, Kun

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NNFacet: splitting neural network for concurrent smart sensors by Chen, Jiale, Le, Duc Van, Tan, Rui, Ho, Daren

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EvoLP: self-evolving latency predictor for model compression in real-time edge systems by Huai, Shuo, Kong, Hao, Li, Shiqing, Luo, Xiangzhong, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen

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Comparative study on 3D printing of polyamide 12 by selective laser sintering and multi jet fusion by Cai, Chao, Tey, Wei Shian, Chen, Jiayao, Zhu, Wei, Liu, Xingjian, Liu, Tong, Zhao, Lihua, Zhou, Kun

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KUBO: a framework for automated efficacy testing of anti-virus behavioral detection with procedure-based malware emulation by Pružinec, Jakub, Nguyen, Quynh Anh, Baldwin, Adrian, Griffin, Jonathan, Liu, Yang

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Applicability of a Material Constitutive Model Based on a Transversely Isotropic Behaviour for the Prediction of the Mechanical Performance of Multi Jet Fusion Printed Polyamide 12... by Sergio Perez-Barcenilla, Xabier Cearsolo, Amaia Aramburu, Ruben Castano-Alvarez, Juan R. Castillo, Jorge Gayoso Lopez

“…Multi Jet Fusion (MJF), an innovative additive manufacturing (AM) technique in the field of Powder Bed Fusion (PBF) developed by Hewlett-Packard (HP) Inc. (Palo Alto, CA, USA), has been designed to produce polymer parts using thermoplastic-based powders, primarily focusing on polyamide 12 (PA12). …”
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Context-Based Patterns in Machine Learning Bias and Fairness Metrics: A Sensitive Attributes-Based Approach by Tiago P. Pagano, Rafael B. Loureiro, Fernanda V. N. Lisboa, Gustavo O. R. Cruz, Rodrigo M. Peixoto, Guilherme A. de Sousa Guimarães, Ewerton L. S. Oliveira, Ingrid Winkler, Erick G. Sperandio Nascimento

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Three-dimensional-printing for microfluidics or the other way around? by Zhang, Yi

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ZeroBN : learning compact neural networks for latency-critical edge systems by Huai, Shuo, Zhang, Lei, Liu, Di, Liu, Weichen, Subramaniam, Ravi

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HACScale : hardware-aware compound scaling for resource-efficient DNNs by Kong, Hao, Liu, Di, Luo, Xiangzhong, Liu, Weichen, Subramaniam, Ravi

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