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A Bio-inspired Learning Approach for the Classification of Risk Zones in a Smart Space

机译：生物启发的学习方法，用于智能空间中的危险区域分类

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Alessio Dore; Matteo Pinasco; Carlo S. Regazzoni;
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年度 2013
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1. Interaction Modeling and Prediction in Smart Spaces: A Bio-Inspired Approach Based on Autobiographical Memory [J] . Dore A.Cattoni A. F.Regazzoni C. S. Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on . 2010,第6期

机译：智能空间中的交互建模和预测：一种基于自传体记忆的生物启发方法
2. Making EMERGENCY PLANNING ZONES SMARTER: A risk-informed approach for new reactors [J] . Curtis Smith, Koroush Shirvan, Jason Christensen, Nuclear news . 2021,第4期

机译：使紧急计划区更智能：新反应堆的风险信息
3. Grey relational analysis based on instance based learning approach for classification of risks of occupational low back disorders [J] . Diyar Akay Safety science . 2011,第8a9期

机译：基于实例学习方法的灰色关联分析在职业性腰背疾病风险分类中的应用
4. A Bio-inspired Learning Approach for the Classification of Risk Zones in a Smart Space [C] . Dore, A., Pinasco, Computer Vision and Pattern Recognition (CVPR), 2007 IEEE Conference on . 2007

机译：生物启发的学习方法，用于智能空间中的危险区域分类
5. Modeling Space-Time Activities and Places for a Smart Space---A Semantic Approach [D] . Fan, Junchuan. 2017

机译：为智能空间建模时空活动和场所-一种语义方法
6. Country-level pandemic risk and preparedness classification based on COVID-19 data: A machine learning approach [O] . Jordan J. Bird, Chloe M. Barnes, Cristiano Premebida, 2020

机译：基于Covid-19数据的国家级大流行风险和准备分类：机器学习方法
7. "A Bio-inspired Learning Approach for the Classification of Risk Zones in a Smart Space" [O] . C. REGAZZONI, A. DORE, M. PINASCO 2007

机译：“在智能空间中对危险区域进行分类的生物启发式学习方法”

A Bio-inspired Learning Approach for the Classification of Risk Zones in a Smart Space

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