Cybersecurity of IoT systems in water management is a growing concern due to increasing digital threats. This research focuses on the development of a novel approach that combines dynamic trust management and anomaly detection systems, with a focus on ...

The security of ad hoc networks continues to pose a major challenge in today's digital age. Threatened by unscrupulous users, especially in decentralized and open architectures, ad-hoc vehicular networks make protection against malicious attacks a ...

The integration of Internet of Things (IoT) systems into water treatment facilities has transformed resource management, presenting new security and trust management challenges. This paper presents an innovative approach to assess user trust levels ...

This research explores trust management in IoT water treatment plants, emphasizing the collaboration between advanced technologies and qualified personnel. We measure trust based on actor-specific criteria by integrating tailored policy languages. Our ...

Since the beginning of the covid-19 crisis, people from all over the world have used social media platforms to publish their opinions, sentiments, and ideas about the coronavirus epidemic and their news. Due to the nature of social networks, users ...

Wearing a mask is an effective measure that prevents the spread of respiratory droplets into the air and thereby curtails the dissemination of coronavirus. Unfortunately, despite the proven effectiveness, the idea of wearing a face mask has ...

A conversational agent (chatbot) is a software that can communicate with humans using natural language. Conversation modeling is an extremely important topic in natural language processing and artificial intelligence (AI). Indeed, since the birth ...

New and innovative approaches are expected to improve road safety and prevent road traffic incidents, based on the exchange of information between vehicles. Our aim is to respond to the need for rapid and reliable exchange of messages containing ...

Sentiment analysis has become an important field in scientific research in recent years. The goal is to extract opinions and sentiments from written text using artificial intelligence algorithms. In this article, we propose a new approach for ...

In recent years, the classification of the social networks' data has witnessed an increasing interest. It aims at extracting opinions, emotions and attitudes from social networks' data such as Facebook comments or tweets. This new scientific ...

The problem of road congestion is becoming more and more serious in urban areas, which calls for solutions. This makes life in cities uncomfortable and costs a huge budget every year. Several resources are wasted during a bottling of fuel, weather,...

Sentiment analysis or opinion mining is a domain that analyses people's opinions, sentiments, evaluations, attitudes, and emotions from a written language; it had become a very active area of scientific research in recent years, especially with the ...

Calculating semantic similarity between words is a challenging task of a lot of domains such as Natural language processing (NLP), information retrieval and plagiarism detection. WordNet is a lexical dictionary conceptually organized, where each ...

Determining semantic similarity between documents is crucial to many tasks such as plagiarism detection, automatic technical survey and semantic search. In this paper, we have mainly focused on detecting the semantic similarity between documents ...

In recent years, learning online using the e-learning platforms becomes indispensable in the teaching process. Companies and scientific researchers try to find new optimal methods and approaches that can improve education online. In this paper, we ...

In urban areas, the problem of congestion in road traffic presents itself as a very persistent problem which requires solutions. During a traffic jam, several resources are wasted, such as time, fuel and many other resources. Through the VANET ...

The need for e-learning platforms to provide advanced and adapted training requires the introduction of new approaches to the resolution of the problems encountered. In this respect, the adaptability of training systems becomes a desired ...

Wireless sensor networks (WSN) are considered as a special type of ad hoc networks, that represent an emerging technology that is having an increasing success in the scientific, logistical, and military areas. It not only realizes benefits for the ...

Businesses always need to know the offers exist so they need a platform that helps them to easily find the offers they have. The platform based on the mobile agents describe this article is a platform allows to detect the existing offers and to ...

In traditional word-based information retrieval systems, a document is considered a set of words representing graphs without semantics. In this paper, we focus on enriching the similarity measure by using synonymy and performance evaluation of ...