Results 151 to 160 of about 603,661 (358)
Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren+6 more
wiley +1 more source
Test Assembly for Cognitive Diagnosis Using Mixed-Integer Linear Programming. [PDF]
Wang W, Zheng J, Song L, Tu Y, Gao P.
europepmc +1 more source
Designing Memristive Materials for Artificial Dynamic Intelligence
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source
Tabu Search-Based Heuristic Solver for General Integer Linear Programming Problems
This paper presents a tabu search-based heuristic solver for general integer linear programming (ILP) problems as a dependable alternative to branch-and-bound (B&B) solvers.
Yuji Koguma
doaj +1 more source
A mixed integer linear programming model and a basic variable neighbourhood search algorithm for the repatriation scheduling problem. [PDF]
Al-Shihabi S, Mladenović N.
europepmc +1 more source
A Comparison of Mixed-Integer Programming Models for Nonconvex Piecewise Linear Cost Minimization Problems [PDF]
Keely L. Croxton+2 more
openalex +1 more source
Fusing Gathers with Integer Linear Programming
12 pages, 6 figures, submitted to FProPer ...
David van Balen+3 more
openaire +2 more sources
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone+11 more
wiley +1 more source
A simplex method for zero-one mixed integer linear programs
Robert W. Rutledge
openalex +1 more source
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source