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We present a study and comparison of computer vision methods for the task of finding repetitive motifs in ancient Peruvian pottery. Under this context, the main difficulties for solving the task are that the motifs are in most cases highly repetitive, ...

Atmospheric gravity waves occur in the Earth’s atmosphere caused by an interplay between gravity and buoyancy forces. These waves have profound impacts on various aspects of the atmosphere, including the patterns of precipitation, cloud formation, ...

As people increasingly rely on mobile applications for their daily activities and needs, the digital traces left by smartphones have become an essential instrument to provide information about human activities. In this work, we focus on identifying ...

Manifold learning method is a dimensionality reduction method that treats the data in non-Euclidean space as a Euclidean space in a local scope. However, most existing manifold learning methods cannot obtain the true neighborbood relationship of each ...

The stability of the financial market plays a key role in the overall health of the economic system, and optimizing corporate financial risk management and crisis warning systems is of great significance. Traditional financial risk management methods ...

Due to the fast-paced advances in mobile devices and the Internet, mobility data volume has grown significantly in the last few years. The explosion of social media data, sensors, IoT, and Internet-enabled sources allowed the semantic enrichment ...

Cryptanalysis requires the identification of cryptographic algorithms, yet in practice, analysts often lack a clear understanding of the algorithms used, leading to ineffective analysis. This paper takes block cipher algorithm as the research ...

Graph Neural Networks (GNNs) are efficient in learning expressive representations of structured data such as graphs. Recent studies have been focused on addressing heterophily, a common phenomenon in real-world networks, which challenges the ...

Gestures and body language exert a significant impact on communication and interactions among individuals. This project's objective entailed the development of a gesture recognition system that analyzes the way people interact with their surroundings. ...

An algorithm for processing the continuous stream of incoming video data to detect and recognize signed expressions is proposed. The aim is to improve an assistive technology system. The method is based on the dynamic flow of expression models ...

Tumors can be viewed as ecosystems consisting of diverse cells within a host environment. Tumor microenvironment ecotyping can be investigated through gene expression at single cell level. In this study, we leverage the benefits of state-of -art analytic ...

This paper presents a comprehensive approach to predicting the ratings of bakery establishments on diverse online platforms using natural language reviews. The study incorporates Large Language Models (LLMs) and Aspect-Based sentiment analysis to ...

Motor imagery (MI) serves as a vital approach to constructing brain-computer interfaces (BCIs) based on electroencephalogram (EEG) signals. However, the time-variant and label-coupling characteristics of EEG signals, combined with the limited ...

This work introduces a new approach to spatial analysis of brain activity in optogenetics datasets based on application of flocking method for an identification of stable neuronal activity locations. Our method uses a multiple local directivity ...

With the cheapening of certain electronic devices, the use of biometric user authentication systems is becoming increasingly common. In particular, the use of microphones for user recognition is a reality for many people in the most common tasks, ...${\mathbb{}}^{}$

Currently, there is a massive data generation in the most diverse areas of knowledge, as bioinformatics that generates huge amounts of data, requiring the analysis and the summarization of this data for its understanding. Semantic similarity can ...

The parallelization in a High Performance Computing (HPC) environment of a method, algorithm and software called RINCCAS (Rotation-Invariant NCC for 2D Color Matching of Arbitrary Shaped Fragments of a Fresco) is presented. RINCCAS is designed for ...

The frequent utilization of land transportation systems has led to the further deterioration of roads and caused traffic hazards. Early detection of asphalt pavement distresses has a necessary role in eliminating these hazards. Implementing an ...

Identification of individual turtles for population studies usually uses fin tags or other physical markers. Since this method is not very practical, we are studying different convolutional neural networks (CNN) to identify individual images of turtles ...

Corrosion is the process of the deterioration of metals through chemical and electrochemical reactions. The early identification of high-risk areas affected by corrosion allows time for making decisions to prevent disasters that could result from ...