Zobrazeno 1 - 10
of 6 702
pro vyhledávání: '"P. Jacinto"'
Autor:
Herrera-Poyato, David, Domínguez-Rull, Jacinto, Montes, Rosana, Hernánde, Inés, Barrio, Ignacio, Poblete-Echeverria, Carlos, Tardaguila, Javier, Herrera, Francisco, Herrera-Poyatos, Andrés
Early detection of diseases in crops is essential to prevent harvest losses and improve the quality of the final product. In this context, the combination of machine learning and proximity sensors is emerging as a technique capable of achieving this
Externí odkaz:
http://arxiv.org/abs/2409.17119
We present an exploratory study of the possibilities of the Deep Ritz Method (DRM) for the modeling of strain localization in solids as a sharp discontinuity in the displacement field. For this, we use a regularized strong discontinuity kinematics wi
Externí odkaz:
http://arxiv.org/abs/2409.13241
Traditional control interfaces for robotic-assisted minimally invasive surgery impose a significant cognitive load on surgeons. To improve surgical efficiency, surgeon-robot collaboration capabilities, and reduce surgeon burden, we present a novel vo
Externí odkaz:
http://arxiv.org/abs/2409.10225
Recent advances in robotic learning in simulation have shown impressive results in accelerating learning complex manipulation skills. However, the sim-to-real gap, caused by discrepancies between simulation and reality, poses significant challenges f
Externí odkaz:
http://arxiv.org/abs/2409.10204
Minimally invasive surgery (MIS) procedures benefit significantly from robotic systems due to their improved precision and dexterity. However, ensuring safety in these dynamic and cluttered environments is an ongoing challenge. This paper proposes a
Externí odkaz:
http://arxiv.org/abs/2409.10135
The unitary bound restricts thermal relics to be lighter than $100$ TeV. This work investigates the production of ultraheavy dark matter and WIMPs in the presence of primordial black holes. Firstly, we describe how Hawking evaporation can produce ult
Externí odkaz:
http://arxiv.org/abs/2408.13313
Autor:
Hsieh, Chihcheng, Moreira, Catarina, Nobre, Isabel Blanco, Sousa, Sandra Costa, Ouyang, Chun, Brereton, Margot, Jorge, Joaquim, Nascimento, Jacinto C.
X-ray images are vital in medical diagnostics, but their effectiveness is limited without clinical context. Radiologists often find chest X-rays insufficient for diagnosing underlying diseases, necessitating comprehensive clinical features and data i
Externí odkaz:
http://arxiv.org/abs/2407.08227
We present, for the first time, a novel theoretical approach to address the problem of correspondence free multivector cloud registration in conformal geometric algebra. Such formalism achieves several favorable properties. Primarily, it forms an ort
Externí odkaz:
http://arxiv.org/abs/2406.11732
Publikováno v:
Image and Vision Computing 146 (2024): 105012
In the context of medical imaging and machine learning, one of the most pressing challenges is the effective adaptation of pre-trained models to specialized medical contexts. Despite the availability of advanced pre-trained models, their direct appli
Externí odkaz:
http://arxiv.org/abs/2406.10050
Publikováno v:
2023 IEEE International Conference on Mechatronics and Automation (ICMA), pp. 569-574
In robot-assisted minimally invasive surgery (RMIS), inverse kinematics (IK) must satisfy a remote center of motion (RCM) constraint to prevent tissue damage at the incision point. However, most of existing IK methods do not account for the trade-off
Externí odkaz:
http://arxiv.org/abs/2406.10013