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View article: Harnessing Large Language Models and Deep Neural Networks for Fake News Detection
Harnessing Large Language Models and Deep Neural Networks for Fake News Detection Open
The spread of fake news threatens trust in both traditional and digital media. Early detection methods, based on linguistic patterns and handcrafted features, struggle to identify more sophisticated misinformation. Large language models (L…
View article: Real-Time Quality Monitoring and Anomaly Detection for Vision Sensors in Connected and Autonomous Vehicles
Real-Time Quality Monitoring and Anomaly Detection for Vision Sensors in Connected and Autonomous Vehicles Open
The emergence of Connected and Autonomous Vehicles (CAVs) has revolutionized the transportation landscape paving the way for enhanced traffic mobility and innovative and sustainable transportation. Autonomous vehicles rely on sensor data t…
View article: Kleptotrace-micro-dataset
Kleptotrace-micro-dataset Open
This micro-benchmark dataset was made for evaluation of the proposed pipeline in Koletsis et al. Entity Extraction from High-Level CorruptionSchemes via Large Language Models. BDA4FCT@IEEE Big Data 2024. Also available at https://arxiv.org…
View article: A Survey on the Use of Large Language Models (LLMs) in Fake News
A Survey on the Use of Large Language Models (LLMs) in Fake News Open
The proliferation of fake news and fake profiles on social media platforms poses significant threats to information integrity and societal trust. Traditional detection methods, including rule-based approaches, metadata analysis, and human …
View article: TEACHING Platform for Human-Centric Autonomous Applications: Design and Overview
TEACHING Platform for Human-Centric Autonomous Applications: Design and Overview Open
The TEACHING project enhances AI applications in pervasive environments via Humanistic Intelligence, fostering synergy between humans and Cyber-Physical Systems of Systems (CPSoS). Here, we present the TEACHING Platform, a microservice-bas…
View article: A Holistic Approach to Use Educational Robots for Supporting Computer Science Courses
A Holistic Approach to Use Educational Robots for Supporting Computer Science Courses Open
Robots are intelligent machines that are capable of autonomously performing intricate sequences of actions, with their functionality being primarily driven by computer programs and machine learning models. Educational robots are specifical…
View article: Autonomous Vehicle Systems in Intelligent Interconnected Transportation Networks
Autonomous Vehicle Systems in Intelligent Interconnected Transportation Networks Open
This work explores the problem of the personalization of the autonomous driving experience, leveraging the existing Advanced Driving- Assistance Systems (ADAS) through a combination of reinforcement learning (RL) algorithms and federated l…
View article: A Survey on the use of Federated Learning in Privacy-Preserving Recommender Systems
A Survey on the use of Federated Learning in Privacy-Preserving Recommender Systems Open
In the age of information overload, recommender systems have emerged as essential tools, assisting users in decision-making processes by offering personalized suggestions. However, their effectiveness is contingent on the availability of l…
View article: Adaptive Deep Reinforcement Learning for Efficient 3D Navigation of Autonomous Underwater Vehicles
Adaptive Deep Reinforcement Learning for Efficient 3D Navigation of Autonomous Underwater Vehicles Open
The exploration of the underwater environments has recently accelerated with the development of the Autonomous Underwater Vehicle (AUV). One of the key elements for enhancing the autonomy of AUVs navigation across various applications is e…
View article: Path planning of autonomous UAVs using reinforcement learning
Path planning of autonomous UAVs using reinforcement learning Open
Autonomous BVLOS Unmanned Aerial Vehicles (UAVs) are gradually gaining their share in the drone market. Together with the demand for extended levels of autonomy comes the necessity for high-performance obstacle avoidance and navigation alg…
View article: Dynamic Navigation in Unconstrained Environments Using Reinforcement Learning Algorithms
Dynamic Navigation in Unconstrained Environments Using Reinforcement Learning Algorithms Open
The potential for the use of drones in logistics and transportation is continuously growing, with multiple applications both in urban and rural environments. The safe navigation of drones in such environments is a major challenge that requ…
View article: FOSSBot: An Open Source and Open Design Educational Robot
FOSSBot: An Open Source and Open Design Educational Robot Open
In the last few years, the interest in the use of robots in STEM education has risen. However, their main drawback is the high cost, which makes it almost impossible for schools to have one robot per student. Another drawback is the propri…
View article: AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving Open
<p>This paper presents a proof-of-concept implementation of the AI-as-a-Service toolkit developed within the H2020 TEACHING project and designed to implement an autonomous driving personalization system according to the output of an …