Use of supervised machine learning for real-time classification of underwater targets using Autonomous Underwater Vehicle sampled bistatic acoustic scattered fields

Underwater Vehicle ◽

Underwater Targets ◽

Scattered Fields ◽

Supervised machine learning for real time classification of underwater targets from sampled scattered acoustic fields

The Journal of the Acoustical Society of America ◽

10.1121/1.3654559 ◽

2011 ◽

Vol 130 (4) ◽

pp. 2384-2384

Author(s):

Erin M. Fischell ◽

Henrik Schmidt

Keyword(s):

Machine Learning ◽

Real Time ◽

Acoustic Fields ◽

Underwater Targets ◽

Classification of underwater targets from autonomous underwater vehicle sampled bistatic acoustic scattered fields

The Journal of the Acoustical Society of America ◽

10.1121/1.4938017 ◽

2015 ◽

Vol 138 (6) ◽

pp. 3773-3784 ◽

Cited By ~ 21

Author(s):

Erin M. Fischell ◽

Henrik Schmidt

Keyword(s):

Underwater Vehicle ◽

Underwater Targets ◽

Scattered Fields

Classification of Military Aircraft in Real-time Radar Systems based on Supervised Machine Learning with Labelled ADS-B Data

2018 Sensor Data Fusion: Trends, Solutions, Applications (SDF) ◽

10.1109/sdf.2018.8547077 ◽

2018 ◽

Cited By ~ 3

Author(s):

Kaeye Dastner ◽

Susie Brunessaux ◽

Elke Schmid ◽

Bastian von Hasler zu Roseneckh-Kohler ◽

Felix Opitz

Keyword(s):

Machine Learning ◽

Real Time ◽

Military Aircraft ◽

Radar Systems

Signal processing and machine learning for real-time classification of ergonomic posture with unobtrusive on-body sensors; application in dental practice

2009 ICME International Conference on Complex Medical Engineering ◽

10.1109/iccme.2009.4906675 ◽

2009 ◽

Cited By ~ 1

Author(s):

Grace F. Olsen ◽

Susan S. Brilliant ◽

David Primeaux ◽

Kayvan Najarian

Keyword(s):

Machine Learning ◽

Signal Processing ◽

Real Time ◽

Dental Practice ◽

Body Sensors ◽

Machine-learning-based Brokers for Real-time Classification of the LSST Alert Stream

The Astrophysical Journal Supplement Series ◽

10.3847/1538-4365/aab781 ◽

2018 ◽

Vol 236 (1) ◽

pp. 9 ◽

Cited By ~ 38

Author(s):

Gautham Narayan ◽

Tayeb Zaidi ◽

Monika D. Soraisam ◽

Zhe Wang ◽

Michelle Lochner ◽

...

Keyword(s):

Machine Learning ◽

Real Time ◽

Nonintrusive Real Time Classification of Home and Office Appliances from Smart Meter by Using Machine Learning Techniques

2019 8th Mediterranean Conference on Embedded Computing (MECO) ◽

10.1109/meco.2019.8760094 ◽

2019 ◽

Author(s):

Nejdet Dogru ◽

Emir Salihagic ◽

Mehrija Hasicic ◽

Jasmin Kevric ◽

Jasna Hivziefendic

Keyword(s):

Machine Learning ◽

Real Time ◽

Machine Learning Techniques ◽

Smart Meter ◽

Learning Techniques ◽

Real-time Image Enhancement for Vision-based Autonomous Underwater Vehicle Navigation in Murky Waters

Proceedings of the International Conference on Underwater Networks & Systems ◽

10.1145/3366486.3366523 ◽

2019 ◽

Cited By ~ 1

Author(s):

Wenjie Chen ◽

Mehdi Rahmati ◽

Vidyasagar Sadhu ◽

Dario Pompili

Keyword(s):

Real Time ◽

Image Enhancement ◽

Underwater Vehicle ◽

Vehicle Navigation ◽

Real Time Image ◽

Time Image

A real-time vertical plane flight anomaly detection system for a long range autonomous underwater vehicle

OCEANS 2015 - MTS/IEEE Washington ◽

10.23919/oceans.2015.7404462 ◽

2015 ◽

Cited By ~ 1

Author(s):

Ben Yair Raanan ◽

James Bellingham ◽

Yanwu Zhang ◽

Brian Kieft ◽

M. Jordan Stanway ◽

...

Keyword(s):

Anomaly Detection ◽

Real Time ◽

Long Range ◽

Detection System ◽

Vertical Plane ◽

Underwater Vehicle ◽

Anomaly Detection System

2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) ◽

Effectuating Supervised Machine Learning Techniques for Multiclass Classification of Problematic Internet and Mobile Usage

10.1109/icccis51004.2021.9397062 ◽

2021 ◽

Author(s):

Sneha Sarkar ◽

Samanyu Bhandary ◽

Arti Arya

Keyword(s):

Machine Learning ◽

Multiclass Classification ◽

Machine Learning Techniques ◽

Learning Techniques

A real-time navigation system for autonomous underwater vehicle

Journal of the Brazilian Society of Mechanical Sciences and Engineering ◽

10.1007/s40430-014-0231-2 ◽

2014 ◽

Vol 37 (4) ◽

pp. 1111-1127 ◽

Cited By ~ 4

Author(s):

Fábio Doro Zanoni ◽

Ettore Apolônio de Barros

Keyword(s):

Real Time ◽

Navigation System ◽

Underwater Vehicle