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A Dialogue Module at the Conceptual Product Design Stage through Genetic Algorithm

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  1. Article

    Open Access

    Design of DDS based on Hybird-CORDIC Architecture

    Communication technology and its signal processing are basic supportive factors of intelligent transportation system. Because of rapid progress in modern communication engineering, direct digital synthesizer (...

    **ujie Qu, He Chen, Yubin Zhang in International Journal of Computational Int… (2011)

  2. Article

    Open Access

    Informative Energy Metric for Similarity Measure in Reproducing Kernel Hilbert Spaces

    In this paper, information energy metric (IEM) is obtained by similarity computing for high-dimensional samples in a reproducing kernel Hilbert space (RKHS). Firstly, similar/dissimilar subsets and their corre...

    Songhua Liu, Junying Zhang, Caiying Ding in International Journal of Computational Int… (2012)

  3. Article

    Open Access

    Scalable Content Authentication in H.264/SVC Videos Using Perceptual Hashing based on Dempster-Shafer theory

    The content authenticity of the multimedia delivery is important issue with rapid development and widely used of multimedia technology. Till now many authentication solutions had been proposed, such as cryptol...

    Ye Dengpan, Wei Zhuo, Ding Xuhua in International Journal of Computational Int… (2012)

  4. Article

    Open Access

    The impact of cooperation and competition on the performance of flexible decentralized manufacturing networks

    Due to the mismatch between the order of costumers and the production capacity resulting from demand uncertainty, product shortages or wastes of production capacity occur. In response, the subcontracting of pr...

    Hu-Song Ding, ** He, Fu-**ang Wu in International Journal of Computational Int… (2013)

  5. Article

    Open Access

    Multi-Criteria Group Decision Making With Heterogeneous Information Based on Ideal Points Concept

    This paper presents a flexible multi-criteria group decision making method based on ideal points concept, which can be used to deal with heterogeneous information(numerical, interval valued and linguistic vari...

    Ding-Hong Peng, Chang-Yuan Gao, Li-Li Zhai in International Journal of Computational Int… (2013)

  6. Article

    Open Access

    Incremental update of rough set approximation under the grade indiscernibility relation

    The incremental updating of lower and upper approximations under the variation of information systems is an important issue in rough set theory. Many incremental updating approaches with respect to different k...

    Junfang Luo, Yaya Liu, Keyun Qin, Heng Ding in International Journal of Computational Int… (2017)

  7. Article

    Special issue on “Data-driven evolutionary optimization”

    Yaochu **, **liang Ding in Soft Computing (2017)

  8. Article

    Open Access

    Multi-task learning for intelligent data processing in granular computing context

    Classification is a popular task in many application areas, such as decision making, rating, sentiment analysis and pattern recognition. In the recent years, due to the vast and rapid increase in the size of d...

    Han Liu, Mihaela Cocea, Weili Ding in Granular Computing (2018)

  9. Article

    Correction to: An extended prospect theory–VIKOR approach for emergency decision making with 2-dimension uncertain linguistic information

    The first author name was incorrectly published. The correct name has been copied below:

    Xue-Feng Ding, Hu-Chen Liu in Soft Computing (2019)

  10. Article

    Open Access

    Research on National Pattern Reuse Design and Optimization Method Based on Improved Shape Grammar

    Considering the low degree of abstraction of traditional shape grammar in national pattern reuse design, this paper proposes a method based on the combination of improved shape grammar and an optimization algo...

    Ning Ding, Jian Lv, Lai Hu in International Journal of Computational Intelligence Systems (2020)

  11. Article

    Correction to: Deep Transfer Learning for Image Emotion Analysis: Reducing Marginal and Joint Distribution Discrepancies Together

    The original article contains two mistakes.

    Yuwei He, Guiguang Ding in Neural Processing Letters (2020)

  12. Article

    Open Access

    Study on the prediction of stock price based on the associated network model of LSTM

    Stock market has received widespread attention from investors. It has always been a hot spot for investors and investment companies to grasp the change regularity of the stock market and predict its trend. Cur...

    Guangyu Ding, Liangxi Qin in International Journal of Machine Learning and Cybernetics (2020)

  13. Article

    Open Access

    Deep Transfer Learning for Image Emotion Analysis: Reducing Marginal and Joint Distribution Discrepancies Together

    A lot of research attentions have been paid to image emotion analysis in recent years. Meanwhile, as convolutional neural networks (CNNs) have made great successful in computer vision, many researchers start t...

    Yuwei He, Guiguang Ding in Neural Processing Letters (2020)

  14. Article

    Open Access

    Fault tolerant control for nonlinear systems using sliding mode and adaptive neural network estimator

    This paper proposes a new fault tolerant control scheme for a class of nonlinear systems including robotic systems and aeronautical systems. In this method, a sliding mode control is applied to maintain system...

    Haiying Qi, Yiran Shi, Shoutao Li, Yantao Tian, Ding-Li Yu, J. B. Gomm in Soft Computing (2020)

  15. Article

    Open Access

    Human posture recognition based on multiple features and rule learning

    The use of skeleton data for human posture recognition is a key research topic in the human-computer interaction field. To improve the accuracy of human posture recognition, a new algorithm based on multiple f...

    Weili Ding, Bo Hu, Han Liu, **nming Wang in International Journal of Machine Learning … (2020)

  16. Article

    A hybrid method of recurrent neural network and graph neural network for next-period prescription prediction

    Electronic health records (EHRs) have been widely used to help physicians to make decisions by predicting medical events such as diseases, prescriptions, outcomes, and so on. How to represent patient longitudi...

    Sicen Liu, Tao Li, Haoyang Ding, Buzhou Tang in International Journal of Machine Learning … (2020)

  17. Article

    TODIM Dynamic Emergency Decision-Making Method Based on Hybrid Weighted Distance Under Probabilistic Hesitant Fuzzy Information

    The classical TODIM method solves problems by expressing the attribute values as crisp numbers, thus incurring information loss. This paper, noting the ambiguity and fuzziness of information especially in a pr...

    Quanyu Ding, Ying-Ming Wang, Mark Goh in International Journal of Fuzzy Systems (2021)

  18. Article

    Interval-valued hesitant fuzzy TODIM method for dynamic emergency responses

    Emergency responses bear the characteristics of uncertainty and possess multi-attributes in decision making. This paper applies the interval evidential reasoning approach and the interval-valued hesitant fuzzy...

    Quanyu Ding, Mark Goh, Ying-Ming Wang in Soft Computing (2021)

  19. Article

    Study on e-commerce logistics cost control methods in the context of COVID-19 prevention and control

    The severe situation caused by THE COVID-19 epidemic has not only hindered the steady development of social economy, but also had a great impact on the development of e-commerce logistics. For e-commerce enter...

    Qi Ding, Huimin Zhao in Soft Computing (2021)

  20. Article

    Open Access

    A novelty detection approach to effectively predict conversion from mild cognitive impairment to Alzheimer’s disease

    Accurately recognising patients with progressive mild cognitive impairment (pMCI) who will develop Alzheimer’s disease (AD) in subsequent years is very important, as early identification of those patients will...

    Shuo Liu, Yi Cao, Junxiu Liu, Xuemei Ding in International Journal of Machine Learning … (2023)

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