Results 71 to 80 of about 164,901 (283)
Path planning algorithm for a car like robot based on MILP method [PDF]
, 2013 This project is presents an algorithm for path planning optimal routes mobile robot “like a car” to a target in unknown environment. The proposed algorithm allows a mobile robot to navigate through static obstacles and finding the path in order to ...
Mohd Sadri, Mohd Pawzi
core
Advanced Science, EarlyView.This work proposes a multifunctional Bi2WO6:Yb,Er@CuS@CS nanocomposite that integrates photodynamic therapy (PDT), near‐infrared‐triggered photothermal therapy (PTT), and Cu2+ release for infected wound repair. The nanocomposite demonstrates enhanced antibacterial efficacy via combined PDT, PTT, and Cu2+ release, effective immunomodulatory by mild ...
Yihao Sun +9 more
wiley +1 more source
Designing networks: A mixed‐integer linear optimization approach [PDF]
Networks, 2016 Designing networks with specified collective properties is useful in a variety of application areas, enabling the study of how given properties affect the behavior of network models, the downscaling of empirical networks to workable sizes, and the analysis of network temporal evolution.
Chrysanthos E. Gounaris +3 more
openaire +2 more sources
Advanced Science, EarlyView.This work provides a practical guide for neuroengineers to design advanced neural interfaces, embracing and tailoring the concept of functional disorder. By bridging 2D and 3D in vitro models, this work highlights how non‐periodic, spatially heterogeneous, multiscale nanotopography can enable more physiologically relevant platforms for studying neural ...
F. Maita +4 more
wiley +1 more source
Exploring the Numerics of Branch-and-Cut for Mixed Integer Linear Optimization
, 2018 We investigate how the numerical properties of the LP relaxations evolve throughout the solution procedure in a solver employing the branch-and-cut algorithm.
Miltenberger, Matthias +2 more
core +1 more source
Practical Mixed-Integer Optimization for Geometry Processing [PDF]
, 2012 Solving mixed-integer problems, i.e., optimization problems where some of the unknowns are continuous while others are discrete, is NP-hard. Unfortunately, real-world problems like e.g., quadrangular remeshing usually have a large number of unknowns such that exact methods become unfeasible.
David Bommes +2 more
openaire +1 more source
Advanced Science, EarlyView.This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu +7 more
wiley +1 more source
Implied Integrality in Mixed-Integer Optimization
Implied-integer detection is a well-known presolving technique that is used by many Mixed-Integer Linear Programming solvers. Informally, a variable is said to be implied integer if its integrality is enforced implicitly by integrality of other variables and the constraints of a problem.
Rolf van der Hulst, Matthias Walter
openaire +2 more sources
Advanced Science, EarlyView.STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu +5 more
wiley +1 more source
An Interactive Method of Linear Mixed Integer Multicriteria Optimization [PDF]
, 2004 The paper describes a learning-oriented interactive method for solving linear mixed integer problems of multicriteria optimization. The method increases the possibilities of the decision maker (DM) to describe his/her local preferences and at the same ...
Genova, Krasimira +3 more
core