24 hours ago · In this paper, we study monotone properties of random and stochastic functional differential equations and their global dynamics.

9 hours ago · Open Physics (PHYS) is a peer-reviewed, open access, electronic journal devoted to the publication of fundamental research results in all fields of physics.

8 hours ago · This research has successfully optimized the Densnet121 deep learning architecture by tuning parameters. With a harmonic means value of 0.98, DenseNet121 ...

7 hours ago · Active learning (AL) is a specific instance of sequential experimental design and uses machine learning to intelligently choose the next data point or batch of ...

18 hours ago · Therefore, it is beneficial to choose a machine learning model that can effectively handle both the complexity of biological systems and the noise in the data.

12 hours ago · Finite element model reveals the involvement of cartilage endplate in quasi-static biomechanics of intervertebral disc degeneration.

18 hours ago · A minimal machine learning glacier mass balance model. Marijn van der Meer ... The study defines optimal experiment parameters and a robust field protocol.

10 hours ago · The article introduces a mathematical model that facilitates the automation of planning the progression of the rehabilitation process by utilizing predictive ...

20 hours ago · Similar approaches explore the formulation of constraints to control the generation of internal porous structures with varying pore sizes, mixed structures.

9 hours ago · This talk considers an optimal control problem governed by a semi-linear heat equation within a two-dimensional pillar-type domain $\Omega_{\epsilon}$ .The ...