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Secure multi-party computation has seen substantial performance improvements in recent years and is being increasingly used in commercial products. While a significant amount of work was dedicated to improving its efficiency under standard security models,...

We study the identity testing problem for high-dimensional distributions. Given as input an explicit distribution \(\mu\), an \(\varepsilon \gt 0\), and access to sampling oracle(s) for a hidden distribution \(\pi\), the goal in identity testing is ...

Genetic Algorithms (GAs) are powerful optimization techniques inspired by the principles of natural selection and genetics. One critical aspect of their success lies in the diversity of solutions within their populations. Diversity ensures ...

Distrust in voting is not a rare phenomenon even in developed countries. Electronic voting (e-voting), however, appeared as an alternative, but is still not practiced on a large scale. This is due to the fact that despite the huge number of ...

We present a new sorting algorithm, called adaptive ShiversSort, that exploits the existence of monotonic runs for sorting efficiently partially sorted data. This algorithm is a variant of the well-known algorithm TimSort, which is the sorting algorithm ...

In recent years, the proliferating of IoT (Internet of things)-originated applications have generated huge amounts of data, which has put enormous pressure on infrastructures such as the network cloud. In this regard, scholars have proposed an ...

The efficiency of threshold and no-threshold wavelet noise filtering methods in processing radar signals is analyzed. Three methods of wavelet analysis are considered: a method with a general limit threshold for wavelet coefficients of detail; a ...

Hand-crafted features to detect idiolect (individual language style) in short text passages with k-means clustering differentiate individuals based on stylistic indicators. With a relatively small number of input samples and low computational resources, ...

Social media platforms, with their extensive and real-time text data, are important application environments for linguistic generative steganography. However, the fragmented and context-constrained nature of social media text leads to a notably low ...

Secure multi-party computation has seen substantial performance improvements in recent years and is being increasingly used in commercial products. While a significant amount of work was dedicated to improving its efficiency under standard security ...

This article analyzes the theoretical and methodological provisions of seminal works concerning the efficiency of research, development and development management, and production for hi-tech products in the context of uncertainty in order to make ...

The problem of estimating data properties using sampling frequency histograms has attracted extensive interest in the area of databases. The properties include the number of distinct values (NDV), entropy, and so on. In the field of databases, property ...

Currently, with the expansion of the use of social networks, the topic of information dissemination has achieved significant importance. The spread of rumors and efforts to stop them have led researchers to pay more attention than ever to predicting the ...

Modern Web APIs allow developers to provide extensively customized experiences for website visitors, but the richness of the device information they provide also make them vulnerable to being abused to construct browser fingerprints, device-specific ...

This paper presents and implements a variable block range fractal (VBRF) method for image compression on RGB images of different categories. The proposed technique shows improvement in compression ratio (CR), peak signal noise ratio (PSNR), similarity ...

Detecting anomalies in patterns of sensor data is important in many practical applications, including domestic activity monitoring for Active Assisted Living (AAL). How to represent and analyse these patterns, however, remains a challenging task, ...

The interval-valued intuitionistic fuzzy sets (IVIFSs), based on the intuitionistic fuzzy sets (IFSs), combine the classical decision method and its research and application is attracting attention. After a comparative analysis, it becomes clear that ...

Due to the fact that no single clustering approach is capable of producing the optimal result for any given data, the notion of clustering ensembles has emerged, which attempts to extract a novel and robust consensus clustering from a given ensemble of ...

Cross-efficiency evaluation is an extension of data envelopment analysis (DEA), which can effectively distinguish between decision-making units (DMUs) through self- and peer-evaluation. The cross-efficiency of each DMU in a set of DMUs is measured in ...

A wavelet packet filtering algorithm has been developed, which includes cyclic movement along the branches of the wavelet packet tree with a constraint on each branch of the approximation and detail coefficients until the minimum root-mean-square ...