Developing a novel network of CBRNe sensors in response to existing capability gaps in current technologies

Ł Szklarski, P Maik, W Walczyk - … , Radiological, Nuclear, and …, 2020 - spiedigitallibrary.org
State-of-the-art CBRNe detection systems are predominantly available as standalone
detectors, rarely offering the potential of networking and data fusion. This paper presents a …

[HTML][HTML] Machine learning-based decision support framework for CBRN protection

T Kegyes, Z Süle, J Abonyi - Heliyon, 2024 - cell.com
Detecting chemical, biological, radiological and nuclear (CBRN) incidents is a high priority
task and has been a topic of intensive research for decades. Ongoing technological, data …

Defense CBRNE Threat-Detection Systems For Transportation Security

MG Ceruti, RL Waters, PA Boss, R Patel… - … IEEE Conference on …, 2008 - ieeexplore.ieee.org
New technology is needed to counter the growing threat of Chemical, Biological,
Radiological, Nuclear, and Explosive (CBRNE) terrorist attacks. Joint Department of …

CBRNe Threat Detection and Monitoring System: Advanced Prototype

V Volpetti, V Ricci, FF Monai… - … European Intelligence and …, 2015 - ieeexplore.ieee.org
Thales Italia has developed an advanced prototype of a CBRNe (Chemical, Biological,
Radiological, Nuclear and explosives) Threat Detection & Monitoring System that features …

Hybrid pattern recognition for rapid explosive sensing with comprehensive analysis

VS Palaparthy, SN Doddapujar, SG Surya… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
This paper presents a hybrid pattern recognition with temperature compensation (HPR-TC)
used within an E-Nose system. HPR-TC with E-nose has the novelty, amongst MEMS sensor …

Improved detection of chemical substances from colorimetric sensor data using probabilistic machine learning

LL Mølgaard, OT Buus, J Larsen… - Chemical …, 2017 - spiedigitallibrary.org
We present a data-driven machine learning approach to detect drug-and explosives-
precursors using colorimetric sensor technology for air-sampling. The sensing technology …

Machine learning methods for the detection of explosives, drugs and precursor chemicals gathered using a colorimetric sniffer sensor

DP Francis, M Laustsen, E Dossi, T Treiberg… - Analytical …, 2023 - pubs.rsc.org
Colorimetric sensing technology for the detection of explosives, drugs, and their precursor
chemicals is an important and effective approach. In this work, we use various machine …

Cooperative use of standoff and UAV sensors for CBRNE detection

WJ Marinelli, T Schmit, JR Dupuis… - Chemical …, 2015 - spiedigitallibrary.org
The defense of the US armed forces against chemical and biological (CB) attack is
transitioning from a focus on standoff detection of these threats to the concept of Early …

Interpreting chemical detection alarms with live analysis of ml algorithms

PC Riley, SV Deshpande, BS Ince… - Chemical …, 2022 - spiedigitallibrary.org
Chemical Biological Radiological Nuclear and Explosive (CBRNE) sensing systems in the
field provide alarms in the form of simple graphical representations, lights, vibrations, and …

Improving the detection of explosives in a MOX chemical sensors array with LSTM networks

J Torres-Tello, AV Guaman, SB Ko - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Entities throughout the world face the problem of detecting hidden explosives, where human
and canine inspection might not be a viable solution. Therefore, it is important to develop …