Abstract The production of traditional Peking opera facial masks often relies on hand painting by experienced painters, which restricts the inheritance and development this intangible cultural heritage. Current research mainly focuses digital reconstruction storage existing masks, while high-quality mask generation technology is still in an infancy stage. In paper, different deep learning frameworks are improved for features generating new can effectively promote creative application masks....

The vast amounts of mobile communication data collected by operators can provide important insights regarding epidemic transmission or traffic patterns. By analyzing historical and extracting user location information, various methods be used to predict the mobility users. However, existing prediction algorithms are mainly based on all users at an aggregated level ignore heterogeneity individual behavior To improve accuracy, this paper proposes a weighted Markov model classification....

AbstractIn the context of unbalanced regional economic development in China, there are large differences construction industry. These long-standing and increasing not only influence total productivity China's industry but also hinder effective resource distribution. Total factor (TFP) is a measure long-term growth comprehensive industry-level measure. The objectives to put forward set systematic methodologies for selecting index, develop TFP conduct an analysis spatial differences. First,...

Incomplete data are frequently encountered and bring difficulties when it comes to further processing. The concepts of granular computing (GrC) help deliver a higher level abstraction address this problem. Most the existing imputation related modeling methods numeric nature require prior models be provided. underlying objective study is introduce novel straightforward approach that uses information granules as vehicle effectively represent missing build fuzzy directly from resulting hybrid...

Dementia is an incurable neurodegenerative disease primarily affecting the older population, for which World Health Organisation has set to promoting early diagnosis and timely management as one of primary goals dementia care. While a range popular machine learning algorithms their variants have been applied diagnosis, fuzzy systems, known effective in dealing with uncertainty offer explicitly reason how can be inferred, sporadically appear recent literature. Given advantages rule-based...

Multi-view clustering has been received considerable attention due to the widespread collection of multi-view data from diverse domains and sources. However, storing across multiple devices in many real scenarios poses significant challenges for efficient analysis. Federated Learning framework enables collaborative machine learning on distributed while preserving privacy constraints. Even though there have intensive algorithms fuzzy clustering, federated not adequately investigated so far....

In this paper, we regard the membership degree and non-membership of intuitionistic fuzzy set (IFS) as a whole propose new approach to measuring correlation between IFSs in finite sets. Like computational process coefficient rea l number variables, first define deviation numbers, variance IFS, covariance IFSs; then formula get IFSs. The proposed method not only reflects symbol attribute (the value lies interval [–1, 1]), but also makes sure integrity IFS is maintained. Several examples are...

In this paper, we develop a comprehensive conceptual and algorithmic framework to cope with problem of clustering homogeneous information granules. While there have been several approaches coping granular (viz. non-numeric) data, the origin data themselves considered is somewhat unclear and, as consequence, results start lacking some full-fledged interpretation. offer holistic view at granules an evaluation clustering. We process forming use principle justifiable granularity (PJG). With...

Fuzzy rule-based models (FRBMs) are sound constructs to describe complex systems. However, in reality, we may encounter situations, where the user or owner of a system only owns either input output data that (the other part could be owned by another user); and due consideration privacy, he/she not obtain all needed build FRBMs. Since this type situation has been fully realized (noticed) studied before, our objective is come up with some strategy address challenge meet specific privacy during...

Abstract Mural is an important component of culture and art Dunhuang in China. Unfortunately, these murals had been ruined or are being by some diseases such as cracking, hollowing, falling off, mildew, dirt, so on. Existing image restoration algorithms have problems incomplete repair disharmonious texture during large-area repair, the effect mural disease area poor. Due to lack a standard datasets, datasets created paper. Meanwhile, our network architecture SeparaFill proposed which...

Total factor productivity (TFP) is a measure of long-term economic growth and comprehensive industry-level measure. There are large gaps in China's regional construction industry development due to unbalanced economy. Based on TFP measurement, this article puts forward two-hierarchical analysis framework with coefficient variation, Moran scatterplot convergence analyse change trend the three major regions terms spatial diversity, correlation convergence. Then, geographically weighted...

The ageing coefficient is selected as the index to evaluate population ageing, and some methods are proposed for analyzing differences in regional from temporal spatial perspectives. China used case study over period 1998–2014. concentration degree of elderly varies regionally, but fluctuations remain relatively stable. variation fluctuates with an overall decreasing tendency. Population exhibits a ladder-like distribution different corresponding economic strength. Spatial autocorrelation...