Darwish, Saad M Mhaimeed, Ibrahim Abdullah Elzoghabi, Adel A
Published in
Entropy (Basel, Switzerland)
The majority of the recent research on text similarity has been focused on machine learning strategies to combat the problem in the educational environment. When the originality of an idea is copied, it increases the difficulty of using a plagiarism detection system in practice, and the system fails. In cases like active-to-passive conversion, phra...
Pastushenko, Valeria A Kronberg, Dmitry A
Published in
Entropy (Basel, Switzerland)
Security of quantum key distribution (QKD) protocols rely solely on quantum physics laws, namely, on the impossibility to distinguish between non-orthogonal quantum states with absolute certainty. Due to this, a potential eavesdropper cannot extract full information from the states stored in their quantum memory after an attack despite knowing all ...
Huang, Huajuan Liao, Zepeng Wei, Xiuxi Zhou, Yongquan
Published in
Entropy (Basel, Switzerland)
Data clustering is one of the most influential branches of machine learning and data analysis, and Gaussian Mixture Models (GMMs) are frequently adopted in data clustering due to their ease of implementation. However, there are certain limitations to this approach that need to be acknowledged. GMMs need to determine the cluster numbers manually, an...
Shi, Xin Liang, Fei Qin, Pengjie Yu, Liang He, Gaojie
Published in
Entropy (Basel, Switzerland)
Evidence theory is widely used to deal with the fusion of uncertain information, but the fusion of conflicting evidence remains an open question. To solve the problem of conflicting evidence fusion in single target recognition, we proposed a novel evidence combination method based on an improved pignistic probability function. Firstly, the improved...
Akhouri, Unnati Shandera, Sarah Yesmurzayeva, Gaukhar
Published in
Entropy (Basel, Switzerland)
An interesting class of physical systems, including those associated with life, demonstrates the ability to hold thermalization at bay and perpetuate states of high free-energy compared to a local environment. In this work we study quantum systems with no external sources or sinks for energy, heat, work, or entropy that allow for high free-energy s...
Marulanda, Esteban Restrepo, Alejandro Restrepo, Johans
Published in
Entropy (Basel, Switzerland)
In classical physics, there is a well-known theorem in which it is established that the energy per degree of freedom is the same. However, in quantum mechanics, due to the non-commutativity of some pairs of observables and the possibility of having non-Markovian dynamics, the energy is not equally distributed. We propose a correspondence between wh...
Zhang, Zhiyi
Published in
Entropy (Basel, Switzerland)
During the last few decades, research activity in modeling the properties of random systems via entropies has grown noticeably across a wide spectrum of fields [...].
Guan, Mengsheng Zhu, Min Bai, Baoming
Published in
Entropy (Basel, Switzerland)
To improve the decoding performance of asynchronous sparse code multiple access (SCMA) systems over additive white Gaussian noise (AWGN) channels, this paper proposes a novel windowed joint detection and decoding algorithm for a rate-compatible (RC), LDPC code-based, incremental redundancy (IR) hybrid automatic repeat quest (HARQ) scheme. Since inc...
Kang, Jin-Wen Shen, Ke-Ming Zhang, Ben-Wei
Published in
Entropy (Basel, Switzerland)
In order to study as a whole a wide part of entropy measures, we introduce a two-parameter non-extensive entropic form with respect to the h-derivative, which generalizes the conventional Newton-Leibniz calculus. This new entropy, Sh,h', is proved to describe the non-extensive systems and recover several types of well-known non-extensive entropic e...
Zhang, Changlu Fan, Haojie Zhang, Jian Yang, Qiong Tang, Liqian
Published in
Entropy (Basel, Switzerland)
Currently, sentiment analysis is a research hotspot in many fields such as computer science and statistical science. Topic discovery of the literature in the field of text sentiment analysis aims to provide scholars with a quick and effective understanding of its research trends. In this paper, we propose a new model for the topic discovery analysi...
