Xin Ning
Biographic Data
| ID | 3724992 |
|---|---|
| NAME | Xin Ning |
| GIVEN NAMES | Xin |
| FAMILY NAME | Ning |
| SIGNATURE | NING X |
| AFFILIATIONS | Dongbei University of Finance and Economics |
| ORCID | 0000-0002-6547-9812 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 7 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Data-driven neighborhood-level carbon emission accounting models and decarbonization strategies
Synergistic evolution of urban twin transformations and carbon emission reduction in the construction industry
Revealing regional climate adaptation development patterns to explore potential strategies for coordinated responses to climate change
Synergy or conflict? Identification of coordination effects in the framework of climate adaptation and mitigation strategies
Reciprocity or conflict? The impact of dual-policy of broadband China and low-carbon city on firms’ green technology innovation
A Recognizable Expression Line Portrait Synthesis Method in Portrait Rendering Robot
An artistic line portrait robot can generate, process, and draw line portraits. Compared to real face images, line portraits lose some recognizable information. Maintaining recognizability during the process of expression edition of line portraits is an important challenge for artistic portrait robots. A recognizable expression line portrait synthesis method based on a triangle coordinate system (TCS) is proposed. First, based on public facial ex…
Multi-sectoral based innovative approach for evaluating human well-being efficiency of urban metabolism
Urbanization and urban ecological resilience in resource-based cities
Hierarchical Domain Adaptation Projective Dictionary Pair Learning Model for EEG Classification in IoMT Systems
Epilepsy recognition based on electroencephalogram (EEG) and artificial intelligence technology is the main tool of health analysis and diagnosis in Internet of medical things (IoMT). As a distributed learning framework, federated learning can train a shared model from multiple independent edge nodes using local data, which has greatly promoted the development of IoMT. One of the main challenges of EEG-based epilepsy recognition in IoMT is that E…
Multi-Source Domain Transfer Discriminative Dictionary Learning Modeling for Electroencephalogram-Based Emotion Recognition
Cognitive computing is dedicated to researching a computing principle and method that can simulate the intelligence ability of human brain. Human emotion is the basic component of human cognitive activities. Electroencephalogram (EEG) computer signals obtained from a brain computer interface are difficult to conceal, and using machine learning methods to analyze EEG emotion is a hot topic in artificial intelligence. However, the EEG signal is non…
Urbanization and depressive symptoms among middle-aged and older adults in China
Aims: Urbanization plays an important role in individuals' health. However, it is difficult to isolate healthy migrant effect between urbanization and health. This study examined the effects of urbanization on depressive symptoms and its possible pathways among Chinese middle-aged and older adults independent of the influence of health-selective migration. Methods: Using the baseline survey of the China Health and Retirement Longitudinal Study, t…
The Double-Edged Sword of Safety Training for Safety Behavior
Safety training (ST) is the primary means of avoiding unsafe behaviors, but it has not achieved the expected impact on improving workplace safety because of the high psychological stress it brings to workers. The coronavirus disease 2019 (COVID-19) further threatens workers' psychological conditions, thereby diminishing the effectiveness of ST. However, the existing literature has mainly laid emphasis on the bright side of ST and neglected examin…
Residential satisfaction among resettled tenants in public rental housing in Wuhan, China
Residential satisfaction among resettled tenants in public rental housing in Wuhan, China
Multi-Source Domain Transfer Discriminative Dictionary Learning Modeling for Electroencephalogram-Based Emotion Recognition
Cognitive computing is dedicated to researching a computing principle and method that can simulate the intelligence ability of human brain. Human emotion is the basic component of human cognitive activities. Electroencephalogram (EEG) computer signals obtained from a brain computer interface are difficult to conceal, and using machine learning methods to analyze EEG emotion is a hot topic in artificial intelligence. However, the EEG signal is non…
Urbanization and depressive symptoms among middle-aged and older adults in China
Aims: Urbanization plays an important role in individuals' health. However, it is difficult to isolate healthy migrant effect between urbanization and health. This study examined the effects of urbanization on depressive symptoms and its possible pathways among Chinese middle-aged and older adults independent of the influence of health-selective migration. Methods: Using the baseline survey of the China Health and Retirement Longitudinal Study, t…
The Double-Edged Sword of Safety Training for Safety Behavior
Safety training (ST) is the primary means of avoiding unsafe behaviors, but it has not achieved the expected impact on improving workplace safety because of the high psychological stress it brings to workers. The coronavirus disease 2019 (COVID-19) further threatens workers' psychological conditions, thereby diminishing the effectiveness of ST. However, the existing literature has mainly laid emphasis on the bright side of ST and neglected examin…
Hierarchical Domain Adaptation Projective Dictionary Pair Learning Model for EEG Classification in IoMT Systems
Epilepsy recognition based on electroencephalogram (EEG) and artificial intelligence technology is the main tool of health analysis and diagnosis in Internet of medical things (IoMT). As a distributed learning framework, federated learning can train a shared model from multiple independent edge nodes using local data, which has greatly promoted the development of IoMT. One of the main challenges of EEG-based epilepsy recognition in IoMT is that E…
A Recognizable Expression Line Portrait Synthesis Method in Portrait Rendering Robot
An artistic line portrait robot can generate, process, and draw line portraits. Compared to real face images, line portraits lose some recognizable information. Maintaining recognizability during the process of expression edition of line portraits is an important challenge for artistic portrait robots. A recognizable expression line portrait synthesis method based on a triangle coordinate system (TCS) is proposed. First, based on public facial ex…
Multi-sectoral based innovative approach for evaluating human well-being efficiency of urban metabolism
Urbanization and urban ecological resilience in resource-based cities
Data-driven neighborhood-level carbon emission accounting models and decarbonization strategies
Synergistic evolution of urban twin transformations and carbon emission reduction in the construction industry
Revealing regional climate adaptation development patterns to explore potential strategies for coordinated responses to climate change
Synergy or conflict? Identification of coordination effects in the framework of climate adaptation and mitigation strategies
Reciprocity or conflict? The impact of dual-policy of broadband China and low-carbon city on firms’ green technology innovation
Computer Science (6 works) · Psychology (5 works) · Business (4 works) · China (4 works) · Ecology (4 works) · Environmental Science (4 works) · Sustainable development (4 works) · Artificial Intelligence (3 works) · Biology (3 works) · Economics (3 works)