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ML is a subset of AI. Discrimination based on SI signals is a module in monitoring systems(NDC & IDC. We will provde a prototype  that will incorporate elements of the discrimination procedures found

In the event of a radiological emergency first responders and critical personnel put themselves in harm’s way for the health and safety of the public. Critical to maintaining the health of individuals working in an emergent situation is to accurately monitor their radiological exposure and keep it within safe or acceptable limits. In order to overcome challenges in non-standardized radiological ...

Improvements will be made to the platform architecture and electronics to enhance system capability. Integration of Pegasus Mini into FoS allows Pegasus Mini to leverage capabilities FoS already uses.

Current state-of-the-art object detection algorithms are almost exclusively based on Deep Convolutional Neural Network (DCNN). These algorithms all require a large number of labeled examples for each of the object categories they can recognize. These algorithms will fail for novel objects that only very few or even no prior examples are available. These algorithms are also far less accurate when c ...

In a nuclear battlefield, rapid, reliable, and accurate mapping of the radiation contamination is critical. The radiation mapping is required to perform threat assessment and, during route clearance, to find the safest path that minimizes radiation exposure to the warfighter. Current detection methods using handheld or vehicle-borne detectors are inefficient, labor-intensive, and often limited to ...

The blockchain technology offers a distributed security mechanism which is resilient to denial-of-service attacks. Thus, the blockchain constitutes a favorable solution to be utilized to protect mission-critical data during wartime. However, current blockchain systems are not designed to be resilient against large physical attacks such as nuclear or electromagnetic pulse. Also, current Blockchain ...

Intelligent Automation, Inc. (IAI) proposes the application of a powerful imaging technique, based on the multiphase level set framework, for retrieving shapes, locations and dielectric properties of unknown objects within the building walls. To our knowledge, no other technique can simultaneously retrieves the object shapes, locations and their dielectric properties using measurements collected a ...

Current state-of-the-art object detection algorithms are almost exclusively based on Deep Convolutional Neural Network (DCNN). These algorithms all require a large amount of labeled examples for each of the object categories they can recognize. These algorithms will fail for novel objects that only very few or even no prior examples are available. These algorithms are also far less accurate when c ...