Zobrazeno 1 - 10
of 132 448
pro vyhledávání: '"A SAXENA"'
Despite advancements in Text-to-Video (T2V) generation, producing videos with realistic motion remains challenging. Current models often yield static or minimally dynamic outputs, failing to capture complex motions described by text. This issue stems
Externí odkaz:
http://arxiv.org/abs/2410.24219
This paper presents a topology optimization approach to design 2D contact-aided compliant mechanisms (CCMs) that can trace the desired output paths with more than one kink while experiencing self and/or external contacts. Such CCMs can be used as mec
Externí odkaz:
http://arxiv.org/abs/2410.23714
Modelling the large deformation of hyperelastic solids under plane stress conditions for arbitrary compressible and nearly incompressible material models is challenging. This is in contrast to the case of full incompressibility where the out-of-plane
Externí odkaz:
http://arxiv.org/abs/2410.22562
Autor:
Strachan, James W. A., Pansardi, Oriana, Scaliti, Eugenio, Celotto, Marco, Saxena, Krati, Yi, Chunzhi, Manzi, Fabio, Rufo, Alessandro, Manzi, Guido, Graziano, Michael S. A., Panzeri, Stefano, Becchio, Cristina
Large Language Models (LLMs) are capable of reproducing human-like inferences, including inferences about emotions and mental states, from text. Whether this capability extends beyond text to other modalities remains unclear. Humans possess a sophist
Externí odkaz:
http://arxiv.org/abs/2410.22309
Python is a low-cost and open-source substitute for the MATLAB programming language. This paper presents ``\texttt{PyTOPress}", a compact Python code for topology optimization that is primarily meant for pedagogical purposes. \texttt{PyTOPress}, base
Externí odkaz:
http://arxiv.org/abs/2410.22131
In this work we addressed the challenge of multi-class anomaly classification in Video Capsule Endoscopy (VCE)[1] with a variety of deep learning models, ranging from custom CNNs to advanced transformer architectures. The purpose is to correctly clas
Externí odkaz:
http://arxiv.org/abs/2410.19973
Stock return forecasting is a major component of numerous finance applications. Predicted stock returns can be incorporated into portfolio trading algorithms to make informed buy or sell decisions which can optimize returns. In such portfolio trading
Externí odkaz:
http://arxiv.org/abs/2410.17212
A systematic investigation of superheavy nuclei in the isotopic chains of proton numbers Z=106, 114, 120, and 126 together with isotonic chains of neutron numbers N=162, 172, and 184 is presented in the theoretical framework of relativistic mean-fiel
Externí odkaz:
http://arxiv.org/abs/2410.15157
Autor:
Khan, Imran, Saxena, Vikrant
The cutoff energy and the divergence of the protons generated by the target normal sheath acceleration mechanism are known to be significantly influenced by micrometer and nanometer-size structures on the target front and rear surfaces. Specifically,
Externí odkaz:
http://arxiv.org/abs/2410.14412
Our proposal is on a new stochastic optimizer for non-convex and possibly non-smooth objective functions typically defined over large dimensional design spaces. Towards this, we have tried to bridge noise-assisted global search and faster local conve
Externí odkaz:
http://arxiv.org/abs/2410.14270