Results 161 to 170 of about 6,356,541 (351)
Mixed-integer programming in motion planning
Annual Reviews in Control, 2020 Daniel-Mihail Ioan +4 more
semanticscholar +1 more source
Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution
Advanced Intelligent Discovery, EarlyView.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
Optimal resource allocation in HIV self-testing secondary distribution among Chinese MSM: data-driven integer programming models. [PDF]
Philos Trans A Math Phys Eng Sci, 2022 Jing F +8 more
europepmc +1 more source
Integer linear programming formulations for treewidth [PDF]
In this paper we consider an ILP-based approach to tackle the problem of determining a treewidth of the graph. We give an overview of existing attempts and develop further LP-based techniques for the problem. We present two different ILP formulations for
Ensinck Hans +2 more
core +1 more source
Reducing computational effort in solving a hard integer program [PDF]
, 1978 Robert Daniel
openalex +1 more source
Mixed integer polynomial programming
Computers & Chemical Engineering, 2015 AbstractThe mixed integer polynomial programming problem is reformulated as a multi-parametric programming problem by relaxing integer variables as continuous variables and then treating them as parameters. The optimality conditions for the resulting parametric programming problem are given by a set of simultaneous parametric polynomial equations which
openaire +3 more sources
Designing Memristive Materials for Artificial Dynamic Intelligence
Advanced Intelligent Discovery, EarlyView.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
Integer Programming for Learning Directed Acyclic Graphs from Continuous Data. [PDF]
INFORMS J Optim, 2021 Manzour H +3 more
europepmc +1 more source
An integer programming approach to reference staff scheduling [PDF]
, 1985 James C. Bean, Margaret Bean
openalex +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.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