Related references
Note: Only part of the references are listed.Toward Emerging Cubic-Spline Patterns With a Mobile Robotics Swarm System
Belkacem Khaldi et al.
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS (2022)
An Efficient Statistical Strategy to Monitor a Robot Swarm
Fouzi Harrou et al.
IEEE SENSORS JOURNAL (2020)
Fast Moving of a Population of Robots Through a Complex Scenario
Leandro Nesi et al.
NONLINEAR DYNAMICS AND CONTROL, VOL II: PROCEEDINGS OF THE FIRST INTERNATIONAL NONLINEAR DYNAMICS CONFERENCE (NODYCON 2019) (2020)
Machine Learning: A Review of the Algorithms and Its Applications
Devanshi Dhall et al.
PROCEEDINGS OF RECENT INNOVATIONS IN COMPUTING, ICRIC 2019 (2020)
Detection of Citrus Tristeza Virus in Mandarin Orange Using a Custom-Developed Electronic Nose System
Sudipta Hazarika et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)
Wind Power Prediction Using Ensemble Learning-Based Models
Junho Lee et al.
IEEE ACCESS (2020)
Monitoring Robotic Swarm Systems Under Noisy Conditions Using an Effective Fault Detection Strategy
Fouzi Harrou et al.
IEEE SENSORS JOURNAL (2019)
Wind power prediction using bootstrap aggregating trees approach to enabling sustainable wind power integration in a smart grid
Fouzi Harrou et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
Flexible and Efficient Topological Approaches for a Reliable Robots Swarm Aggregation
Belkacem Khaldi et al.
IEEE ACCESS (2019)
Perpetual Robot Swarm: Long-Term Autonomy of Mobile Robots Using On-the-fly Inductive Charging
Farshad Arvin et al.
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS (2018)
The Information-Cost-Reward framework for understanding robot swarm foraging
Lenka Pitonakova et al.
SWARM INTELLIGENCE (2018)
Self-organization in in aggregating robot swarms: A DW-KNN topological approach
Belkacem Khaldi et al.
BIOSYSTEMS (2018)
Self-Adaptive Collective Motion of Swarm Robots
Haitao Zhao et al.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2018)
Load Forecasting for a Campus University Using Ensemble Methods Based on Regression Trees
Maria del Carmen Ruiz-Abellon et al.
ENERGIES (2018)
Toward a Possibilistic Swarm Multi-robot Task Allocation: Theoretical and Experimental Results
Jose Guerrero et al.
NEURAL PROCESSING LETTERS (2017)
Monitoring a robot swarm using a data-driven fault detection approach
Belkacem Khaldi et al.
ROBOTICS AND AUTONOMOUS SYSTEMS (2017)
Indoor Localization Without a Prior Map by Trajectory Learning From Crowdsourced Measurements
Jaehyun Yoo et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2017)
Acoustic Tomography Reconstruction Method for the Temperature Distribution Measurement
Sha Liu et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2017)
Collective decision with 100 Kilobots: speed versus accuracy in binary discrimination problems
Gabriele Valentini et al.
AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS (2016)
A review of swarm robotics tasks
Levent Bayindir
NEUROCOMPUTING (2016)
Prediction of Pollutant Emissions of Biomass Flames Through Digital Imaging, Contour let Transform, and Support Vector Regression Modeling
Nan Li et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2015)
Bearing Health Monitoring Based on Hilbert-Huang Transform, Support Vector Machine, and Regression
Abdenour Soualhi et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2015)
A gradient boosting method to improve travel time prediction
Yanru Zhang et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2015)
Property-Driven Design for Robot Swarms: A Design Method Based on Prescriptive Modeling and Model Checking
Manuele Brambilla et al.
ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS (2015)
On the use of Bio-PEPA for modelling and analysing collective behaviours in swarm robotics
Mieke Massink et al.
SWARM INTELLIGENCE (2013)
Towards swarm calculus: urn models of collective decisions and universal properties of swarm performance
Heiko Hamann
SWARM INTELLIGENCE (2013)
Swarm robotics: a review from the swarm engineering perspective
Manuele Brambilla et al.
SWARM INTELLIGENCE (2013)
Research Advance in Swarm Robotics
Ying Tan et al.
DEFENCE TECHNOLOGY (2013)
Predicting the Behavior of Robotic Swarms in Search and Tag Tasks
Joseph P. Lancaster et al.
COMPLEX ADAPTIVE SYSTEMS: EMERGING TECHNOLOGIES FOR EVOLVING SYSTEMS: SOCIO-TECHNICAL, CYBER AND BIG DATA (2013)
Collective motion
Tamas Vicsek et al.
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS (2012)
ARGoS: a modular, parallel, multi-engine simulator for multi-robot systems
Carlo Pinciroli et al.
SWARM INTELLIGENCE (2012)
Multi-level spatial modeling for stochastic distributed robotic systems
Amanda Prorok et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2011)
Modeling Self-Organized Aggregation in Swarm Robotic Systems
Levent Bayindir et al.
2009 IEEE SWARM INTELLIGENCE SYMPOSIUM (2009)
A working guide to boosted regression trees
J. Elith et al.
JOURNAL OF ANIMAL ECOLOGY (2008)
Stochastic gradient boosting
JH Friedman
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2002)