Nanoscience advances in cbrn agent detection, information and energy security: An introduction

P Petkov, D Tsiulyanu, C Popov, W Kulisch - Nanoscience Advances in …, 2015 - Springer
The present volume comprises the most important contributions to the NATO ASI
“Nanoscience advances in CBRN agent detection, information and energy security” held on …

Autonomous incident detection on spectrometers using deep convolutional models

X Zhang, D Zhang, A Leye, A Scott, L Visser, Z Ge… - Sensors, 2021 - mdpi.com
This paper focuses on improving the performance of scientific instrumentation that uses
glass spray chambers for sample introduction, such as spectrometers, which are widely …

E-nose: Multichannel analog signal conditioning circuit with pattern recognition for explosive sensing

VS Palaparthy, SN Doddapujar, G Gupta… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
This paper presents E-Nose, a novel cost-effective, field-deployable portable system that
constitutes a 4-channel signal conditioning circuit and multi-coated piezo-resistive micro …

Sensor-netting algorithm for CB threat mapping

T Gruber, L Grim, C Keiser… - … Radiological, Nuclear, and …, 2010 - spiedigitallibrary.org
Large networks of disparate chemical/biological (CB) sensors, MET sensors, and
intelligence, surveillance, and reconnaissance (ISR) sensors reporting to various …

Artificial intelligence technologies utilization for detecting explosive materials

A Alshahrani - International Journal of Data and Network …, 2024 - m.growingscience.com
Explosive material detection considers the identification and classification of explosive
materials using techniques from traditional sniffer dogs to cutting-edge sensing technology …

A review of sensor data fusion for explosives and weapons detection

MC Kemp - … , Nuclear, and Explosives (CBRNE) Sensing XIV, 2013 - spiedigitallibrary.org
The combination or fusion of data from multiple complementary sensors can potentially
improve system performance in many explosives and weapons detection applications. The …

Single-shot compact spectrometer based standoff LIBS configuration for explosive detection using artificial neural networks

R Junjuri, AP Gummadi, MK Gundawar - Optik, 2020 - Elsevier
We report the development and optimization of a compact standoff laser-induced breakdown
spectroscopy (ST-LIBS) system for the investigation of explosives combined with multivariate …

Joint chemical agent detector (JCAD): the future of chemical agent detection

CE Laljer - Chemical and Biological Sensing IV, 2003 - spiedigitallibrary.org
The Joint Chemical Agent Detector (JCAD) has continued development through 2002. The
JCAD has completed Contractor Validation Testing (CVT) that included chemical warfare …

Procedurally generated simulated datasets for aerial explosive hazard detection

J Kerley, A Fuller, M Kovaleski… - Chemical …, 2022 - spiedigitallibrary.org
Recent advancements in signal processing and computer vision are largely due to machine
learning (ML). While exciting, the reality is that most modern ML approaches are based on …

Wireless sensors and sensor networks for homeland security applications

RA Potyrailo, N Nagraj, C Surman, H Boudries… - TrAC Trends in …, 2012 - Elsevier
New sensor technologies for homeland security applications must meet the key
requirements of sensitivity to detect agents below risk levels, selectivity to provide minimal …