Results 181 to 190 of about 16,362 (263)
Modelling the dynamically consistent numerical methods for COVID-19 disease with cost effectiveness strategies. [PDF]
Li S +5 more
europepmc +1 more source
Research on a Drone‐Based Vacant Parking Detection System
It can be difficult to know which spaces are available in parking lots and bicycle parking areas, so knowing the availability status is necessary for efficient parking. Therefore, in this study, we developed the drone that can display the availability status. Availability is determined by whether it can read a QR code attached to the ground. To conduct
Hiroki Mineshita +2 more
wiley +1 more source
Square integrable solutions and stability of a second-order stochastic integro-differential equation. [PDF]
Oudjedi-Damerdji LF +4 more
europepmc +1 more source
A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis +7 more
wiley +1 more source
Steady bubbles and drops in inviscid fluids. [PDF]
Meyer D, Niebel L, Seis C.
europepmc +1 more source
Enhancing Generalisation via Cascaded Inertia SGD With Learnt Hyperparameters
ABSTRACT A central challenge in deep learning lies in achieving strong model generalisation, an area in which conventional optimisers such as stochastic gradient descent (SGD) often exhibit limitations, even though they ensure convergence. This paper introduces cascaded inertia SGD (CISGD), a novel optimisation algorithm specifically designed to ...
Yongji Guan +3 more
wiley +1 more source
The 3d Mixed BF Lagrangian 1-Form: A Variational Formulation of Hitchin's Integrable System. [PDF]
Caudrelier V +3 more
europepmc +1 more source
ABSTRACT Generalisation is a crucial aspect of deep learning, enabling models to perform well on unseen data. Currently, most optimisers that improve generalisation typically suffer from efficiency bottlenecks. This paper proposes a double‐integration‐enhanced stochastic gradient descent (DIESGD) optimiser, which treats the negative gradient as an ...
Ting Li +3 more
wiley +1 more source
Discrete stochastic maximal regularity. [PDF]
Evangelopoulos-Ntemiris F, Veraar M.
europepmc +1 more source
AstroECP: towards more practical electron channeling contrast imaging
We explore and address many of the major challenges associated with using electron channeling contrast imaging in a scanning electron microscope, with the goal of more easily revealing and characterizing crystalline defects such as dislocations.Electron channeling contrast imaging (ECCI) is a scanning electron microscope based technique which enables ...
M. Haroon Qaiser +7 more
wiley +1 more source

