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Ning Fang
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2020 – today
- 2024
- [j15]Ning Fang, Qi Cao:
Leaf in Wind Optimization: A New Metaheuristic Algorithm for Solving Optimization Problems. IEEE Access 12: 56291-56308 (2024) - [j14]Chang Zhai, Ruoxuan Geng, Zhibin Ren, Chengcong Wang, Peng Zhang, Yujie Guo, Shengyang Hong, Wenhai Hong, Fanyue Meng, Ning Fang:
Spatiotemporal Dynamics of Urban Green Space Coverage and Its Exposed Population under Rapid Urbanization in China. Remote. Sens. 16(15): 2836 (2024) - [c30]Ning Fang, Jon R. Pluyter, Saskia Bakker, Igor Jacobs, Misha Luyer, Joost Nederend, Jeroen Raijmakers, Lin-Lin Chen, Mathias Funk:
From Experience to Experience: Key Insights for Improved Interaction with AI in Radiology. CHI Extended Abstracts 2024: 169:1-169:7 - 2023
- [c29]Ning Fang, P. Srinivasa Pai:
A Machine Learning Technique for Intelligent Manufacturing: Integrating Wavelet Packet Transform (WPT) Into Neural Network Modeling. ICE/ITMC 2023: 1-6 - [c28]Ning Fang:
Intelligent Evaluation Model for Role Transformation Ability of Vocational Teachers Based on Neural Networks. ICKII 2023: 448-451 - 2022
- [j13]Jia Liu, Qun Yu Xu, Min Su, Ning Fang, Bao Fa Wang:
A Hybrid Eigenmode Restoration Algorithm for Computational Lithography Problems Based on Mode Matching Principle. IEEE Access 10: 45799-45810 (2022) - [j12]Ning Fang, Zongqian Zhan:
High-resolution optical flow and frame-recurrent network for video super-resolution and deblurring. Neurocomputing 489: 128-138 (2022) - [c27]Ning Fang, P. Srinivasa Pai:
A Statistical Correlation Analysis of Big Data in Machining. IEEE Big Data 2022: 6636-6638 - [c26]Ning Fang, Chao Zhang, Supraja Sankaran, Shaoya Ren:
Role of Socially Assistive Robots in Reducing Anxiety and Preserving Autonomy in Children. HRI 2022: 754-759
2010 – 2019
- 2019
- [c25]Wei Ou, Ning Fang, Hequn Xian, Wei Guo, Feilu Hang, Linjiang Xie, Xuyue Tang:
Accelerating Public Key Cryptography in Android Platforms. BigCom 2019: 245-249 - 2018
- [j11]Oai Ha, Ning Fang:
Effects of interactive computer simulation and animation (CSA) on student learning: A case study involving energy, impulse, and momentum in rigid-body engineering dynamics. Comput. Appl. Eng. Educ. 26(5): 1804-1812 (2018) - [j10]Ning Fang, Mohammad Tajvidi:
The effects of computer simulation and animation (CSA) on students' cognitive processes: A comparative case study in an undergraduate engineering course. J. Comput. Assist. Learn. 34(1): 71-83 (2018) - [c24]Ning Fang:
Student Experiences With Collaborative Problem-Based Learning (CPBL) in a Second-Year Undergraduate Engineering Course. FIE 2018: 1-5 - 2016
- [j9]Ning Fang, Yongqing Guo:
Interactive computer simulation and animation for improving student learning of particle kinetics. J. Comput. Assist. Learn. 32(5): 443-455 (2016) - [c23]Ning Fang, Oenardi Lawanto, Wade H. Goodridge, Idalis Villanueva:
Research Experiences for Undergraduates (REU) on self-regulated learning in engineering education. FIE 2016: 1-5 - 2015
- [c22]Yongqing Guo, Ning Fang:
Interactive Computer Simulation and Animation (CSA) to Improve Student Learning of Projectile Motion in an Undergraduate Engineering Dynamics Course. CSEDU (2) 2015: 173-180 - [c21]Ning Fang:
A Qualitative Analysis of Student-constructed Concept Maps in a Foundational Undergraduate Engineering Course. CSEDU (2) 2015: 181-186 - [c20]Ning Fang:
Student-constructed concept maps for active learning in a foundational undergraduate engineering course. FIE 2015: 1-5 - 2013
- [j8]Shaobo Huang, Ning Fang:
Predicting student academic performance in an engineering dynamics course: A comparison of four types of predictive mathematical models. Comput. Educ. 61: 133-145 (2013) - [c19]Ning Fang, Yongqing Guo:
A web-based interactive intelligent tutoring system for undergraduate engineering dynamics. FIE 2013: 159-160 - [c18]Oai Ha, Ning Fang:
Development of interactive 3D tangible models as teaching aids to improve students' spatial ability in STEM education. FIE 2013: 1302-1304 - [c17]Ning Fang, Xiuli Zhao:
A comparative study of motivation and learning strategies between American and Chinese undergraduate engineering students. FIE 2013: 1702-1703 - [c16]Ning Fang, Xiuli Zhao:
A comparative study of learning style preferences between American and Chinese undergraduate engineering students. FIE 2013: 1704-1705 - 2012
- [c15]Ning Fang:
Work in progress: A new concept mapping approach in an introductory engineering course: Correlation between students' conceptual understanding and problem-solving skills. FIE 2012: 1-2 - [c14]Yongqing Guo, Ning Fang:
Work in progress: An Intelligent Tutoring System for improving student learning in a sophomore engineering dynamics course. FIE 2012: 1-2 - [c13]Shaobo Huang, Ning Fang:
Work in progress: Early prediction of students' academic performance in an introductory engineering course through different mathematical modeling techniques. FIE 2012: 1-2 - 2011
- [c12]Ning Fang:
Work in progress - Integrating mathematical modeling with computer visualization to improve students' problem solving in an introductory engineering course. FIE 2011: S2 - [c11]Shaobo Huang, Ning Fang:
Work in progress - Prediction of students' academic performance in an introductory engineering course. FIE 2011: S4 - 2010
- [j7]Liu Wenyin, Ning Fang, Xiaojun Quan, Bite Qiu, Gang Liu:
Discovering phishing target based on semantic link network. Future Gener. Comput. Syst. 26(3): 381-388 (2010) - [j6]Ning Fang, P. Srinivasa Pai, Nathan Edwards:
Prediction of built-up edge formation in machining with round edge and sharp tools using a neural network approach. Int. J. Comput. Integr. Manuf. 23(11): 1002-1014 (2010) - [c10]Bite Qiu, Ning Fang, Liu Wenyin:
Detect Visual Spoofing in Unicode-Based Text. ICPR 2010: 1949-1952
2000 – 2009
- 2009
- [j5]Ning Fang, Xiangfeng Luo, Weimin Xu:
Measuring Textual Context Based on Cognitive Principles. Int. J. Softw. Sci. Comput. Intell. 1(4): 61-89 (2009) - 2008
- [j4]Xiangfeng Luo, Ning Fang, Bo Hu, Kai Yan, Huizhe Xiao:
Semantic representation of scientific documents for the e-science Knowledge Grid. Concurr. Comput. Pract. Exp. 20(7): 839-862 (2008) - [j3]Xiangfeng Luo, Ning Fang, Weimin Xu, Sheng Yu, Kai Yan, Huizhe Xiao:
Experimental study on the extraction and distribution of textual domain keywords. Concurr. Comput. Pract. Exp. 20(16): 1917-1932 (2008) - [c9]Ning Fang, Xiangfeng Luo, Weimin Xu:
Evaluating text understanding based on context. IEEE ICCI 2008: 195-204 - 2007
- [c8]Jin-gui Lu, Ning Fang, Jinguo Lin, Fengxin Chen, Guanghui Chen:
Constructing the Model of Propylene Distillation Based on Neural Networks. ISIC 2007: 430-434 - [c7]Ning Fang:
The Study of Electronic Image Recognition System Using Fuzzy Sets Theory. FSKD (2) 2007: 176-180 - [c6]Jin Liu, Yongliang Shi, Ning Fang, Keqing He:
Developing Methods to Train Neural Networks for Time-Series Prediction in Environmental Systems. FSKD (1) 2007: 372-376 - [c5]Jin-gui Lu, Ning Fang, Dinghong Shao, Congyan Liu:
An Improved Immune-Genetic Algorithm for the Traveling Salesman Problem. ICNC (4) 2007: 297-301 - [c4]Ning Fang, Xiangfeng Luo, Weimin Xu:
Single Text Combinatorial Semantic Field (STCSF): Construction and Visualization. SKG 2007: 188-193 - 2006
- [c3]Xiangfeng Luo, Ning Fang, Zhe Yang, Huizhe Xiao, Weimin Xu:
Scientific Text Topics Discovery for e-science Semantic Grid Environment. GCC 2006: 440-447 - [c2]Xiangfeng Luo, Ning Fang, Weimin Xu, Sheng Yu, Kai Yan, Huizhe Xiao:
Experiments Study for Scientific Texts Domain Keyword Acquisition. SKG 2006: 45 - 2004
- [c1]Zhongmin Wang, Yangquan Chen, Ning Fang:
Minimum-time swing-up of a rotary inverted pendulum by iterative impulsive control. ACC 2004: 1335-1340
1990 – 1999
- 1993
- [j2]Ning Fang, Ming-Chieh Cheng:
An automatic crossover point selection technique for image enhancement using fuzzy sets. Pattern Recognit. Lett. 14(5): 397-406 (1993) - [j1]Yung-Tsan Lin, Ning Fang, Ming-Chieh Cheng, Shu-Min Chiang:
A modified homomorphic approach on invariant features of object images. Pattern Recognit. Lett. 14(6): 453-463 (1993)
Coauthor Index
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last updated on 2024-10-10 21:17 CEST by the dblp team
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