Results 91 to 100 of about 457 (250)
We present a novel AI‐integrated implantation‐on‐chip platform that enables mimicking and monitoring the maternal–fetal interactions at the early phases of human embryo implantation with high spatiotemporal resolution. The complexity of the trophoblast invasion process was addressed by conducting the analysis at global (rate of invasion) and local ...
Joanna Filippi +12 more
wiley +1 more source
Anatolij Nikolaevich Sherstnev (on 80th birthday anniversary)
The paper describes the biography and the main scientific achievements of Professor Anatolij Nikolaevich Sherstnev. The scientific interests of A.N.
A.M. Bikchentaev +2 more
doaj
Systems of Precision: Coherent Probabilities on Pre-Dynkin Systems and Coherent Previsions on Linear Subspaces. [PDF]
Derr R, Williamson RC.
europepmc +1 more source
Optimizing 3D Bin Packing of Heterogeneous Objects Using Continuous Transformations in SE(3)
This article presents a method for solving the three‐dimensional bin packing problem for heterogeneous objects using continuous rigid‐body transformations in SE(3). A heuristic optimization framework combines signed‐distance functions, neural network approximations, point‐cloud bin modeling, and physics simulation to ensure feasibility and stability ...
Michele Angelini, Marco Carricato
wiley +1 more source
Statistical convergence on probalistic normed spaces
In this paper we define concepts of statistical convergence and statistical Cauchy on probabilistic normed spaces. Then we give a useful characterization for statistically convergent sequences. Furthermore, we display an example such that our method of
Karakus, Sevda, Sevda Karakus
core
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Equilibrium Propagation for Dissipative Dynamics
This work develops local learning rules for damped linear dynamical systems, including mechanical structures and resistor‐inductor‐capacitor (RLC) circuits, by leveraging an effective action formulation. It demonstrates how physical systems can autonomously compute gradients and learn temporal patterns, enabling applications such as sound ...
Marc Berneman, Daniel Hexner
wiley +1 more source
Community Partitioning over Feature-Rich Networks Using an Extended K-Means Method. [PDF]
Shalileh S, Mirkin B, Mirkin B.
europepmc +1 more source
Time‐Delayed Spiking Reservoir Computing Enables Efficient Time Series Prediction
This study proposes time‐delayed spiking reservoir computing (TDSRC) for efficient time series prediction. By concatenating time‐lagged states, TDSRC constructs an expanded readout feature vector without altering internal reservoir dynamics. This approach enables highly accurate forecasting with significantly fewer neurons, providing a resource ...
Pin Jin +3 more
wiley +1 more source
Some results in probabilistic n-Banach spaces [PDF]
In this article, after introducing the probabilistic n-normed spaces we define probabilistic n-Banach spaces and study convergence in these spaces by some ...
Salimi, Mehdi +2 more
core

