Search Results - "Lin, Chenhao"

Matching Contactless and Contact-Based Conventional Fingerprint Images for Biometrics Identification by Chenhao Lin, Kumar, Ajay

“…Vast databases of billions of contact-based fingerprints have been developed to protect national borders and support e-governance programs. Emerging…”
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Contactless and partial 3D fingerprint recognition using multi-view deep representation by Lin, Chenhao, Kumar, Ajay

“…•New framework to recover multi-view deep feature representation from contactless 3D fingerprint.•First paper to address challenging contactless partial 3D…”
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Genetically predicted body composition in relation to cardiometabolic traits: a Mendelian randomization study by Zeng, Hailuan, Lin, Chenhao, Wang, Sijia, Zheng, Yan, Gao, Xin

“…Fat mass and fat-free mass are found to be associated with different health outcomes in observational studies, but the underlying causality remains unclear. We…”
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Expert knowledge data-driven based actor–critic reinforcement learning framework to solve computationally expensive unit commitment problems with uncertain wind energy by Liang, Huijun, Lin, Chenhao, Pang, Aokang

“…With the expansion of power grid, unaffordable computational cost and time will pose serious challenges of time-efficient scheduling in unit commitment problem…”
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A Surrogate-Assisted Adaptive Bat Algorithm for Large-Scale Economic Dispatch by Pang, Aokang, Liang, Huijun, Lin, Chenhao, Yao, Lei

“…Large-scale grids have gradually become the dominant trend in power systems, which has increased the importance of solving the challenges associated with…”
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A binary bat algorithm with improved crossover operators and Cauchy mutation for unit commitment problem by Pang, Aokang, Liang, Huijun, Lin, Chenhao, Yao, Lei

“…Power system operators are faced with the problem of unit commitment belonging to mixed integer programming, which becomes very complicated, as units become…”
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The causal associations of circulating amino acids with blood pressure: a Mendelian randomization study by Lin, Chenhao, Sun, Zhonghan, Mei, Zhendong, Zeng, Hailuan, Zhao, Manying, Hu, Jianying, Xia, Mingfeng, Huang, Tao, Wang, Chaolong, Gao, Xin, Zheng, Yan

“…Circulating levels of amino acids were associated with blood pressure (BP) in observational studies. However, the causation of such associations has been…”
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Data-driven method of solving computationally expensive combined economic/emission dispatch problems in large-scale power systems: an improved kriging-assisted optimization approach by Lin, Chenhao, Liang, Huijun, Pang, Aokang, Zhong, Jianwei

“…Combined economic/emission dispatch (CEED) is generally studied using analytical objective functions. However, for large-scale, high-dimension power systems,…”
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Data-Driven Surrogate-Assisted Method for High-Dimensional Multi-Area Combined Economic/Emission Dispatch by Chenhao Lin, Huijun Liang, Aokang Pang, Jianwei Zhong, Yongchao Yang

“…Multi-area combined economic/emission dispatch (MACEED) problems are generally studied using analytical functions. However, as the scale of power systems…”
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Improving cross sensor interoperability for fingerprint identification by Chenhao Lin, Kumar, Ajay

“…Improving accuracy of matching fingerprint images acquired from two different fingerprint sensors is an important research problem with several promising…”
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Associations of visceral adipose tissue with bone mineral density and fracture: observational and Mendelian randomization studies by Hu, Jianying, Zhao, Manying, Lin, Chenhao, Sun, Zhonghan, Chen, Guo-Chong, Mei, Zhendong, Zheng, Yan

“…The associations between visceral adipose tissue (VAT) and bone mineral density (BMD) or fracture have been controversial and the causality of the associations…”
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A CNN-Based Framework for Comparison of Contactless to Contact-Based Fingerprints by Lin, Chenhao, Kumar, Ajay

“…Accurate comparison of contactless 2-D fingerprint images with contact-based fingerprints is critical for the success of emerging contactless 2-D fingerprint…”
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Tetrahedron Based Fast 3D Fingerprint Identification Using Colored LEDs Illumination by Lin, Chenhao, Kumar, Ajay

“…Emerging 3D fingerprint recognition technologies have attracted growing attention in addressing the limitations from contact-based fingerprint acquisition and…”
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Multi-Siamese networks to accurately match contactless to contact-based fingerprint images by Chenhao Lin, Kumar, Ajay

“…Contactless 2D fingerprint identification is more hygienic, and enables deformation free imaging for higher accuracy. Success of such emerging contactless…”
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A fast data-driven optimization method of multi-area combined economic emission dispatch by Lin, Chenhao, Liang, Huijun, Pang, Aokang

“…To provide more feasible schemes for power system optimization management and operation, the interconnection of power grids in different areas is inevitable…”
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Surrogate-assisted Optimization Method for Optimal Dynamic Economic Dispatch including Aggregation Regulation of Wind and Biomass Farms by Liang, Huijun, Lin, Chenhao, Pang, Aokang

“…Due to the uncertain nature of wind and the booming number of generator units, a novel dynamic economic dispatch (DED) approach involving wind-biomass…”
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Relations between buckling & vibrational characteristics of coupled shear walls by Tong, Genshu, Lin, Chenhao

“…This paper developed relations between buckling and vibrational characteristics of coupled walls systems. The buckling behavior and the vibrational period of…”
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LESSON: Multi-Label Adversarial False Data Injection Attack for Deep Learning Locational Detection by Tian, Jiwei, Shen, Chao, Wang, Buhong, Xia, Xiaofang, Zhang, Meng, Lin, Chenhao, Li, Qian

“…Deep learning methods can not only detect false data injection attacks (FDIA) but also locate attacks of FDIA. Although adversarial false data injection…”
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DeepLogic: Priority Testing of Deep Learning Through Interpretable Logic Units by Lin, Chenhao, Zhang, Xingliang, Shen, Chao

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Sensitive region-aware black-box adversarial attacks by Lin, Chenhao, Han, Sicong, Zhu, Jiongli, Li, Qian, Shen, Chao, Zhang, Youwei, Guan, Xiaohong

“…Recent research on adversarial attacks has highlighted the vulnerability of deep neural networks (DNNs) to perturbations. While existing studies generate…”
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