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Article
Open AccessDesign 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 (...
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Article
Open AccessInformative 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...
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Article
Open AccessScalable 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...
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Article
Open AccessThe 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...
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Article
Open AccessMulti-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...
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Article
Open AccessIncremental 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...
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Article
Special issue on “Data-driven evolutionary optimization”
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Open AccessMulti-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...
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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:
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Open AccessResearch 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...
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Article
Correction to: Deep Transfer Learning for Image Emotion Analysis: Reducing Marginal and Joint Distribution Discrepancies Together
The original article contains two mistakes.
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Open AccessStudy 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...
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Article
Open AccessDeep 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...
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Open AccessFault 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...
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Article
Open AccessHuman 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...
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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...
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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...
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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...
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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...
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Article
Open AccessA 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...