Mind and Cosmos as Throughput Systems: A Convergence Through the Throughput Model
ABSTRACT This paper advances a conceptual and mathematical foundations approach by applying the throughput model (TPM) to cosmic phenomena, reframing the universe as an extended information processing system. TPM's four stages, Perception, Information, Judgement and Decision Choice, are reformulated in explicit information‐theoretic and dynamical ...
Waymond Rodgers
wiley +1 more source
Improved convergent cross mapping method for causal inference based on decomposition of the Lorenz trajectory. [PDF]
Sunu Z, Ma J, He B, Gan X, Da C.
europepmc +1 more source
Abstract With the market introduction of new reinforcing materials, such as corrosion‐resistant steel, the effect of their stress–strain relationship on the ductility of reinforced concrete structures needs to be evaluated. Their moment‐curvature behavior significantly influences bending moment redistributions, rotation capacity, and deformation at ...
Nathalie Reckinger +2 more
wiley +1 more source
Gradient Descent Provably Escapes Saddle Points in the Training of Shallow ReLU Networks. [PDF]
Cheridito P, Jentzen A, Rossmannek F.
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
Neural Active Manifolds: Nonlinear Dimensionality Reduction for Uncertainty Quantification. [PDF]
Zanoni A +4 more
europepmc +1 more source
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source
Dynamics of a two-patch epidemic model with deterministic/stochastic migration and distributed delays. [PDF]
Kang T, Cao B, Shi Z, Wang Q.
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
Modeling and Analysis of SIRR Model (Ebola Transmission Dynamics Model) with Delay Differential Equation. [PDF]
Lasekan AE +6 more
europepmc +1 more source

