This paper comprehensively examines Large Language Models (LLMs) in sentiment analysis, specifically focusing on financial markets and exploring the correlation between news sentiment and Bitcoin prices. We systematically categorize various LLMs used in financial sentiment analysis, highlighting their unique applications and features. We also inves...
The mapping of soils in Africa is at least a century old. We currently have access to various maps depicting mapping units locally and for the continent. In the past two decades, there has been a growing interest in alternatives for generating soil maps through digital soil mapping (DSM) techniques. There are, however, numerous challenges pertainin...
Eutelsat 7C (E7C), a telecommunication spacecraft, was launched on 21 st of June 2019 and reached geostationary (GEO) orbit four months later after a quasi-equatorial electric orbit raising (EOR) phase. An ICARE-NG (Influence sur les Composant Avancés des Radiations de l’Espace, Nouvelle Génération) radiation monitor was implemented on the spacecra...
Spatio-temporal Predictive Queries encompass a spatio tem- poral constraint, defining a region, a target variable, and an evaluation metric. The output of such queries presents the future values for the tar- get variable computed by predictive models at each point of the spatio- temporal region. Unfortunately, especially for large spatio-temporal d...
This work tackles the problem of automatically predicting the grasping intention of humans observing their environment, with eye-tracker glasses and video cameras recording the scene view. Our target application is the assistance to people with motor disabilities and potential cognitive impairments, using assistive robotics. Our proposal leverages ...
A numerical model, developed to shape the field in the Fresnel region using transmitarray antennas (TA), is proposed here. This tool allows the prediction of the amplitude of the electric field, taking into account all the characteristics of the elementary building blocks of the system: the injected power, the gain of the focal source, the distance...
status: published
The industrial revolution has led to a rise in energy needs and the demand for better control strategies. Intelligent Energy Management Systems (IEMS) and the Internet of Energy (IoE) offer promising solutions to cut down energy usage in the construction industry. This paper looks at the first step before combining these ideas to address challenges...
Domain Generalized Semantic Segmentation (DGSS) deals with training a model on a labeled source domain with the aim of generalizing to unseen domains during inference. Existing DGSS methods typically effectuate robust features by means of Domain Randomization (DR). Such an approach is often limited as it can only account for style diversification a...
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