Sentiment classification ISC) aims to determine whether a document. conveys a positiveor negative opinion. Due to the rapid development of the digital world. SC hm, rwmme an impor-tant research topic that affects to many aspects of our life. In SC hast-d on maritim- Earning. The representation of the document strongly influences on its accuracy. Embedding 35E; swam techniques, techniques. are proved to be beneficial techniques to the SC problem. Howeve is often not. enough to represent the semantic of Vietnamese (1062235 due tothe complexity of semantics and syntactic structure. In this paper. we propose a new:sematiun learning model called a two-channel vector to learn a higher-level feature of a (locum-er: for SC. Our model uses two neural networks to learn both the semantic feature and the feature. The semantic feature is learnt using W'ord and the syntactic feature is learnt tho-.3; Parts of Speech tag (POS). Two features are then combined and input to a Softmax functic-r. 1.51 med-2:3 the final classification.

Attribute reduction is one important part researched in rough set theory. A reduct from a decision table is a minimal subset of the conditional attributes which provide the same information for classification purposes as the entire set of available attributes. The classification task for the high dimensional decision table could be solved faster if a reduct, instead of the original whole set of attributes, is used. In this paper, we propose a reduct computing algorithm using attribute clustering. The proposed algorithm works in three main stages. In the first stage, irrelevant attributes are eliminated. In the second stage relevant attributes are divided into appropriately selected number of clusters by Partitioning Around Medoids (PAM) clustering method integrated with a special metric in attribute space which is the normalized variation of information. In the third stage, the representative attribute from each cluster is selected that is the most class—related. The selected attributes form the approximate reduct. The proposed algorithm is implemented and experimented. The experimental results show that the proposed algorithm is capable of computing approximate reduct with small size and high classification accuracy, when the number of clusters used to group the attributes is appropriately selected

This work investigates the update security model in a collaborative learning or federatedlearning network by using the covert communication. The covert communication (CC) uses the jamming signal and multiple friendly jammers (FJS) are deployed that can offer jamming services to the model owner, i.e., a base station (BS). To enable the BS to select the best FJ, i.e., the lowest cost FJ, a truthful auction is adopted. Then, we formulate an optimization problem that aims to optimize the transmission power, jamming power, and local accuracy. The objective is to minimize the training latency, subject to the security performance requirement and budget of the BS. To solve the non-convex problem, we adopt a Successive Convex Approximation algorithm. The numerical results reveal some interesting things. For example, the trustful auction reduces the jamming cost of the BS as the number of FJs increases.

Following our investigations on particular fuzzy algebraic structures. we reaisit fuzzysubgroups and fuzzy ideals and introduce some numerical examples. As usual. we associated relationsto fuzzy subgroup and fuzzy ideal. Consequently, right and left cosets modulo a fuzzy relation were introduced. This work and the our previous works can be considered as a continuation of irrestigaiions initiated by Abu Osman and Antony in the 19805. Toward our investigation, we have in mind that by introducing these new definitions, the results that we can get should represent a real generalization of classical and commonly known concepts of algebra

Incoterms ® define obligations, risks and costs that each of the seller and buyer must incur in the movement of the goods for a trade. New versions are issued when deemed necessary by the International Chamber of Commerce (ICC) and are aimed at including new trade realities and fostering trade. A new version Incoterms® 2020 is now available to replace the previous version, namely Incoterms®2010.