A finite element (FE) model of particle reinforced metal matrix composite (PRMMC) was
developed by considering load transfer, grain refinement, thermal residual stress/strain …

POREnet, a novel approach to model effective properties of thin porous media, TPM, is
presented. The methodology allows the extraction of local effective property tensors by …

Abstract “Can you tell me where San Jose is located?”“Uh! Do you know that there are more
than 1700 locations named San Jose in the world?” The official name of a location is often …

In the evolving landscape of video enhancement and editing methodologies, a majority of
deep learning techniques often rely on extensive datasets of observed input and ground …

Diffusion models have made significant strides in image generation, mastering tasks such as
unconditional image synthesis, text-image translation, and image-to-image conversions …

Obstacle-aware trajectory navigation is crucial for many systems. For example, in real-world
navigation tasks, an agent must avoid obstacles, such as furniture in a room, while planning …

Federated Learning (FL) addresses the need to create models based on proprietary data in
such a way that multiple clients retain exclusive control over their data, while all benefit from …

Textual data is available to an increasing extent through different media (social networks,
companies data, data catalogues, etc.). New information extraction methods are needed …

An increasing amount of textual data is made available through different medium (eg, social
networks, company, data catalog, etc.). These new resources are highly heterogeneous …

De nos jours, la majorité des systèmes de recherche d'information (RI) basent leurs
algorithmes de recherche et d'indexation de document sur leur dimension thématique. Dans …