Results 11 to 20 of about 52,077 (195)
Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age [PDF]
, 2016 Simultaneous Localization and Mapping (SLAM)consists in the concurrent construction of a model of the environment (the map), and the estimation of the state of the robot moving within it.
Cadena, Cesar +7 more
core +4 more sources
An Efficient Algorithm for Clustering of Large-Scale Mass Spectrometry Data
, 2013 High-throughput spectrometers are capable of producing data sets containing thousands of spectra for a single biological sample. These data sets contain a substantial amount of redundancy from peptides that may get selected multiple times in a LC-MS/MS ...
Hoffert, Jason D. +3 more
core +1 more source
An Approximate Kernel for Connected Feedback Vertex Set [PDF]
, 2019 The Feedback Vertex Set problem is a fundamental computational problem which has been the subject of intensive study in various domains of algorithmics. In this problem, one is given an undirected graph G and an integer k as input.
Ramanujan, M. S.
core +1 more source
Graph Algorithm Animation with Grrr [PDF]
, 2000 We discuss geometric positioning, highlighting of visited nodes and user defined highlighting that form the algorithm animation facilities in the Grrr graph rewriting programming language. The main purpose of animation was initially for the debugging and
Rodgers, Peter, Vidal, Natalia
core +2 more sources
Game theoretic controller synthesis for multi-robot motion planning Part I : Trajectory based algorithms [PDF]
, 2014 We consider a class of multi-robot motion planning problems where each robot is associated with multiple objectives and decoupled task specifications. The problems are formulated as an open-loop non-cooperative differential game.
Chaudhari, Pratik +3 more
core +1 more source
FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Radio Co-location Aware Channel Assignments for Interference Mitigation in Wireless Mesh Networks
, 2015 Designing high performance channel assignment schemes to harness the potential of multi-radio multi-channel deployments in wireless mesh networks (WMNs) is an active research domain.
Kala, Srikant Manas +3 more
core +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Two Optimal Strategies for Active Learning of Causal Models from Interventional Data
, 2013 From observational data alone, a causal DAG is only identifiable up to Markov equivalence. Interventional data generally improves identifiability; however, the gain of an intervention strongly depends on the intervention target, that is, the intervened ...
Alain Hauser +24 more
core +1 more source
An All‐Optical Driven Bio‐Photovoltaic Interface for Active Control of Live Cells
Advanced Functional Materials, EarlyView.Bio‐photovoltaic Interface (BIO‐PV‐I) for live cell manipulation is presented. BIO‐PV‐I can be activated non‐invasively and remotely to control the spatial motility, adhesion, and morphology of cells adhering to it. BIO‐PV‐I uses a patterned light‐induced electric potential in iron‐doped lithium niobate crystals whose light‐driven and reversible nature,
Lisa Miccio +8 more
wiley +1 more source