During this modest work, we focused on developing a peer-learning platform. Our work was conducted in two parts: a theoretical part, where we studied various popular peer-to-peer platforms and their management, and a ...

This work focuses on the use of a mobile sink to improve data collection in wireless sensor networks (WSN). We considered application scenarios involving event-driven data collection and random movement of the sink. In ...

In recent years, image analysis has become crucial across various fields, from medical diagnostics to autonomous vehicles. At the core of image analysis lies segmentation, a critical step that influences the performance ...

Network security is increasingly challenged by sophisticated cyber threats, necessitating advanced methods for anomaly detection. In this project, we developed an anomaly detection application specifically designed for ...

Record Linkage (RL) is the process of identifying the records that refers to the same real-world entity. Several RL approaches were proposed in the literature but most of them were introduced without a bloc’s sizes controlling ...

Data mining is a data analysis technique that uncovers hidden information and relationships between data. It is used to extract useful information from large amounts of unstructured data. Our study particularly focused on ...

FANET is considered a subset of MANET. However, due to the high mobility and rapid topology changes in FANET, the application of routing protocols in FANET is a significant challenge. In this work, we propose a new mechanism ...

One of the major challenges faced by doctors is making decisions regarding disease related to the patient’s condition. Our topic addresses one of the problems related to this, which is : can data be further used to improve ...

In this work, we focus on real-time routing in Wireless Sensor Networks (WSN) and the Prolongation of their operational lifetime. Specifically, we aim to find a solution that minimizes energy consumption in WSNs as well ...

Emotion analysis and emotional computing have attracted much interest in various research fields in recent decades, particularly with the emergence of problems concerning users' psychological health such as stress, anxiety ...