An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.
Peter Bajcsy, Nicholas J. Schaub, Michael P. Majurski
This paper addresses the problem of designing trojan detectors in neural networks (NNs) using interactive simulations. Trojans in NNs are defined as triggers in
Michael P. Brundage, Thurston B. Sexton, Melinda Hodkiewicz, Alden A. Dima, Sarah Lukens
Out-of-the-box natural-language processing (NLP) pipelines need re-imagining to understand and meet the requirements of the engineering sector. Text-based
Hamed Vakili, Mohammed N. Sakib, Samiran Ganguly, Mircea Stan, Matthew W. Daniels, Advait Madhavan, Mark D. Stiles, Avik W. Ghosh
Race logic is a relative timing code that represents information in a wavefront of digital edges on a set of wires in order to accelerate dynamic programming
Quality is a key determinant in deploying new processes, products or services, and influences the adoption of emerging manufacturing technologies. The advent of
Yan Lu, Zhuo Yang, Ho Yeung, Jaehyuk Kim, Hyunbo Cho
The quality of powder bed fusion (PBF) built parts is highly correlated to the melt pool characteristics. Camera-based coaxial melt pool monitoring (MPM) is
Yooyoung Lee, Amy N. Yates, Haiying Guan, Jonathan Fiscus, Daniel Zhou
The interest of forensic techniques capable of detecting many different manipulation types has been growing, and system developments with machine learning
Manufacturers need to be resilient to effectively mitigate substantial disruptions to manufacturing operations so they may remain competitive. Disruptions
In the era of the Internet of Things, botnet threats are rising, which has prompted many studies on botnet detection and measurement. In contrast, this study
Keith Curtis, George M. Awad, Shahzad K. Rajput, Ian M. Soboroff
This is the introduction paper to the International Workshop on Deep Video Understanding. In recent years, a growing trend towards working on understanding
When people try to understand nuanced language they typically process multiple input sensor modalities to complete this cognitive task. It turns out the human
Jun Wang, Youwei Jia, Eugene Yujun Fu, Jiajia Li, Wai Cheong Tam
This paper aims to facilitate the use of machine learning to carry out supervised classification/regression tasks for time series data in fire research
Jun Wang, Wai Cheong Tam, Paul A. Reneke, Richard D. Peacock, Thomas G. Cleary, Eugene Yujun Fu, Grace Ngai, Hong va Leong
This paper presents a study to examine the potential use of machine learning algorithms to build a model to forecast the likelihood of flashover occurrence for
Mobile edge computing (MEC) is an emerging paradigm that integrates computing resources in wireless access networks to process computational tasks in close
Abstract Many machine learning algorithms examine large amounts of data to discover insights from hidden patterns. Testing these algorithms can be expensive
Hansong Xu, Wei Yu, Xing Liu, David W. Griffith, Nada T. Golmie
Industrial Internet of Things (IIoT) is predicted to drive the fourth industrial revolution through massive interconnection of industrial devices, such as
P J. Phillips, Amanda C. Hahn, Peter C. Fontana, David A. Broniatowski, Mark A. Przybocki
We introduce four principles for explainable artificial intelligence (AI) that comprise the fundamental properties for explainable AI systems. They were
Melt pool size is a critical intermediate measure that reflects the outcome of a laser powder bed fusion process setting. Reliable melt pool predictions prior
Seyed Omid Sadjadi, Craig S. Greenberg, Elliot Singer, Douglas A. Reynolds, Lisa Mason
Following the success of the 2019 Conversational Telephone Speech (CTS) Speaker Recognition Challenge, which received 1347 submissions from 67 academic and
Brian L. DeCost, Jason R. Hattrick-Simpers, Zachary T. Trautt, Aaron G. Kusne, Martin L. Green, Eva Campo
Recent years have seen an ever-increasing trend in the use of machine learning (ML) and artificial intelligence (AI) methods by the materials science, condensed
Himanshu Neema, Peter Volgyesi, Xenofon Koutsoukos, Thomas P. Roth, Cuong T. Nguyen
Modern electric grids that integrate smart grid technologies require different approaches to grid operations. There has been a shift towards increased reliance
Werickson Fortunato de Carvalho Rocha, Charles Prado, Niksa Blonder
Food analysis is a challenging analytical problem, often addressed using sophisticated laboratory methods that produce large data sets. Linear and non-linear
Adele P. Peskin, Boris Wilthan, Michael P. Majurski
Using a unique data collection, we are able to study the detection of dense geometric objects in image data where object density, clarity, and size vary. The
Thurston B. Sexton, Michael P. Brundage, Alden A. Dima, Michael E. Sharp
The Manufacturing Science and Engineering Conference (MSEC) in 2020 is the 15th annual conference put on by the Manufacturing Engineering Division (MED) of ASME