Results 81 to 90 of about 1,024,245 (290)
DNA Computing the Hamiltonian Path Problem
The directed Hamiltonian path (DHP) problem is one of the hard computational problems for which there is no practical algorithm on a conventional computer available. Many problems, including the traveling sales person problem and the longest path problem, can be translated into the DHP problem, which implies that an algorithm for DHP can also solve all
C M, Lee, S W, Kim, S M, Kim, U, Sohn
openaire +2 more sources
Applying an Ethical Lens to the Treatment of People With Multiple Sclerosis
ABSTRACT The practice of neurology requires an understanding of clinical ethics for decision‐making. In multiple sclerosis (MS) care, there are a wide range of ethical considerations that may arise. These involve shared decision‐making around selection of a disease‐modifying therapy (DMT), risks and benefits of well‐studied medications in comparison to
Methma Udawatta, Farrah J. Mateen
wiley +1 more source
GPU Based Path Integral Control with Learned Dynamics [PDF]
We present an algorithm which combines recent advances in model based path integral control with machine learning approaches to learning forward dynamics models.
Daniel, Tom +2 more
core
Constrained Shortest Path Computation
This paper proposes and solves a-autonomy and k-stops shortest path problems in large spatial databases. Given a source s and a destination d, an a-autonomy query retrieves a sequence of data points connecting s and d, such that the distance between any two consecutive points in the path is not greater than a.
TERROVITIS, Manolis +3 more
openaire +3 more sources
Effects of Biological Sex and Age on Cerebrospinal Fluid Markers—A Retrospective Observational Study
ABSTRACT Objective Cerebrospinal fluid (CSF) analysis is a key diagnostic tool for neurological diseases. To date, only a few studies have investigated in larger cohorts the effect of age and biological sex on diagnostic markers extracted from CSF. Methods For this retrospective observational study, 4163 CSF findings (2012–2020) were evaluated.
Isabel‐Sophie Hafer +3 more
wiley +1 more source
Robot visual navigation estimation and target localization based on neural network
The high computational cost, complex external environment, and limited computing resources of embedded system are some major problems in traditional autonomous robot navigation methods.
Zhao Yanping +2 more
doaj +1 more source
Efficient Computation of Greyscale Path Openings
Abstract Path openings are morphological operators that are used to preserve long, thin, and curved structures in images. They have the ability to adapt to local image structures,which allows them to detect lines that are not perfectly straight. They are applicable in extracting cracks, roads, and similar structures.
Schubert, Herman +2 more
openaire +2 more sources
Five‐Year Disease Progression in Synuclein Seeding Positive Sporadic Parkinson's Disease
ABSTRACT Objective To provide a comprehensive description of disease progression in synuclein seeding assay (SAA) positive sporadic Parkinson Disease participants, using Neuronal Synuclein Disease integrated biological and functional impairment staging framework.
Paulina Gonzalez‐Latapi +19 more
wiley +1 more source
Research on AGV Path Planning Based on Improved Directed Weighted Graph Theory and ROS Fusion
This article addresses the common issues of insufficient computing power and path congestion for automated guided vehicles (AGVs) in real-world production environments, as well as the shortcomings of traditional path-planning algorithms that mainly ...
Yinping Li, Li Liu
doaj +1 more source
Electric Vehicle Charging Warning and Path Planning Method Based on Spark
Electric vehicles (EVs) are increasing popular as clean transportation. However electric vehicle (EV) users often encounter a shortage of electricity in the driving process. Especially when vehicle charging path planning system request reaches peak hour,
Dong Ding +5 more
doaj +1 more source

