Unmanned Aerial Vehicles (UAVs) have emerged as a transformative technology across
diverse sectors, offering adaptable solutions to complex challenges in both military and …

This article aims to present the results of a bibliometric analysis of relevant literature and
discuss the main research streams related to the topic of risks in drone applications. The …

Although there is a considerable amount of studies in drone forensics that describe
numerous practical and technical perspectives, there is a lack of a comprehensive …

The dataset is constructed from the drone flight log messages extracted from publicly
available drone image datasets provided by VTO Labs under the Drone Forensic Program …

An IoT device such as a drone is constantly generating log records to store every event that
happens to the drone during a flight. In case the drone encounters a problem or experiences …

Feature space enrichment is an integral part of the development of attention mechanisms in
Convolutional Neural Networks (CNNs). The ability to efficiently extract channel and spatial …

Mobile forensics, particularly in the Android ecosystem, is a rapidly evolving field that
demands continuous advancements to address the growing complexity and diversity of …

There are many uses for drones, such as photography, hobbies, and the military. Most drone
incidents are caused by bird attacks, collide with other drones, and malfunctioning systems …

A key element of many Natural Language Processing (NLP) applications is Named Entity
Recognition (NER). It involves categorizing and identifying text into separate categories …

With the proliferation of social media platforms, characterized by features such as anonymity,
user-friendly access, and the facilitation of online community building and discourse, the …