Aznam Yacoub | Searcharxiv

arXiv2025

Psychlysis: Towards the Creation of a Questionnaire-based Machine Learning Tool to Analyze States of Mind

This paper describes the development of Psychlysis, a work-in-progress questionnaire-based machine learning application analyzing the user's current state of mind and suggesting ways to improve their mood using Machine Learning. The application utilizes the OCEAN model to understand the user's personality traits and make customized suggestions to enhance their well-being. The proposed application focus on improving the user's mood rather than just detecting their emotions. Preliminary results of the model are presented, showing the potential of the application in predicting the user's mood and providing personalized recommendations. The paper concludes by highlighting the potential benefits of such an application for various societal segments, including doctors, individuals, and mental health organizations, in improving emotional well-being and reducing the negative impact of mental health issues on daily life.

cs.HC↗

arXiv2020

Virtual Communication Stack: Towards Building Integrated Simulator of Mobile Ad Hoc Network-based Infrastructure for Disaster Response Scenarios

Responses to disastrous events are a challenging problem, because of possible damages on communication infrastructures. For instance, after a natural disaster, infrastructures might be entirely destroyed. Different network paradigms were proposed in the literature in order to deploy adhoc network, and allow dealing with the lack of communications. However, all these solutions focus only on the performance of the network itself, without taking into account the specificities and heterogeneity of the components which use it. This comes from the difficulty to integrate models with different levels of abstraction. Consequently, verification and validation of adhoc protocols cannot guarantee that the different systems will work as expected in operational conditions. However, the DEVS theory provides some mechanisms to allow integration of models with different natures. This paper proposes an integrated simulation architecture based on DEVS which improves the accuracy of ad hoc infrastructure simulators in the case of disaster response scenarios.

cs.DC↗