• Predicting Dementia With Routine Care EMR Data 

  Ben Miled, Zina; Haas, Kyle; Black, Christopher M.; Khandker, Rezaul Karim; Chandrasekaran, Vasu; Lipton, Richard; Boustani, Malaz A. (Elsevier, 2020-01)

  Our aim is to develop a machine learning (ML) model that can predict dementia in a general patient population from multiple health care institutions one year and three years prior to the onset of the disease without any ...
• Cross-Selectivity Enhancement of Poly(vinylidene fluoride-hexafluoropropylene)-Based Sensor Arrays for Detecting Acetone and Ethanol 

  Daneshkhah, Ali; Shrestha, Sudhir; Siegel, Amanda; Varahramyan, Kody; Agarwal, Mangilal (MDPI, 2017-03-15)

  Two methods for cross-selectivity enhancement of porous poly(vinylidene fluoride-hexafluoropropylene) (PVDF-HFP)/carbon black (CB) composite-based resistive sensors are provided. The sensors are tested with acetone and ...
• Critical-Path Aware Scheduling for Latency Efficient Broadcast in Duty-Cycled Wireless Sensor Networks 

  Le, Duc-Tai; Im, Giyeol; Le Duc, Thang; Zalyubovskiy, Vyacheslav V.; Kim, Dongsoo S.; Choo, Hyunseung (Hindawi, 2018)

  Minimum latency scheduling has arisen as one of the most crucial problems for broadcasting in duty-cycled Wireless Sensor Networks (WSNs). Typical solutions for the broadcast scheduling iteratively search for nodes able ...
• Integrating Electrical Machines and Antennas via Scalar and Vector Magnetic Potentials; an Approach for Enhancing Undergraduate EM Education 

  Shayesteh, Seemein; Rahmani, Maryam; Christopher, Lauren; Rizkalla, Maher (IEEE, 2018-10)

  This Innovative Practice Work In Progress paper presents an approach for enhancing undergraduate Electromagnetic education.
• Social Media Sensing Framework for Population Health 

  Esperanca, Alvaro; Miled, Zina Ben; Mahoui, Malika (IEEE, 2019)

  Conducting large health population studies is expensive. For instance, collecting field information about the efficacy of health campaigns or the impact of a disease may require the involvement of many health providers ...
• Engineering and Informatics Student Multidisciplinary Learning using 3D Visualization and 3D Display of Radio Frequency (RF) Concepts 

  Christopher, Lauren; William, Albert; Rao, Anusha S.; Dale, Ashley; Chase, Anthony; Joshi, Mihir Piyush; Krogg, Wendy; Abernathy, Bree (IEEE, 2018-10)

  This full paper addresses the Innovative Practice Category. We discuss our multidisciplinary approach to create a truly 3D representation and 3D display of RF signals in space through the development of two different ...
• Minimum Initial Marking Estimation in Labeled Petri Nets With Unobservable Transitions 

  Ruan, Keyu; Li, Lingxi; Wu, Weimin (IEEE, 2019-01)

  In the literature, researchers have been studying the minimum initial marking (MIM) estimation problem in the labeled Petri nets with observable transitions. This paper extends the results to labeled Petri nets with ...
• Sensor Fusion to Detect Scale and Direction of Gravity in Monocular Slam Systems 

  Tucker, Seth; El-Sharkawy, Mohamed (IEEE, 2018-10)

  Monocular simultaneous localization and mapping (SLAM) is an important technique that enables very inexpensive environment mapping and pose estimation in small systems such as smart phones and unmanned aerial vehicles. ...
• Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation 

  Fu, Chichen; Lee, Soonam; Ho, David Joon; Han, Shuo; Salama, Paul; Dunn, Kenneth W.; Delp, Edward J. (IEEE, 2018-06)

  Advances in fluorescence microscopy enable acquisition of 3D image volumes with better image quality and deeper penetration into tissue. Segmentation is a required step to characterize and analyze biological structures in ...
• Kinetics of Hydrogen Storage on Catalytically-Modified Porous Silicon 

  Boaks, Mawla; Schubert, Peter J. (Elsevier, 2019-03)

  Porous silicon has been demonstrated as a hydrogen storage media with surface-bound hydrogen content as high as 6.6% by weight. Hydrogenated porous silicon is readily synthesized by electrochemical etching in a solution ...
• Integrating Electrical Machines and Antennas via Scalar and Vector Magnetic Potentials; an Approach for Enhancing Undergraduate EM Education 

  Shayesteh, Seemein; Rahmani, Maryam; Christopher, Lauren; Rizkalla, Maher (IEEE, 2018-10)

  This Innovative Practice Work In Progress paper presents an approach for enhancing undergraduate Electromagnetic education.
• Lunar-sourced GEO Powersats: An Integrated ISRU System 

  Schubert, Peter J.; Anderson, Richard J., III; Somera, Alex; Proctor, Patrick; Chin, Yung Wei; Bowyer, Jonathan; McIntyre, Nathan; Jackson, Tyler (AIAA, 2018-09)

  Solar power satellites (powersats) can be built almost entirely from lunar resources. When C-class asteroids are also included as ore bodies a complete powersat can be built through insitu resource utilization (ISRU) given ...
• Detecting Traffic Information From Social Media Texts With Deep Learning Approaches 

  Chen, Yuanyuan; Lv, Yisheng; Wang, Xiao; Li, Lingxi; Wang, Fei-Yue (IEEE, 2018-11)

  Mining traffic-relevant information from social media data has become an emerging topic due to the real-time and ubiquitous features of social media. In this paper, we focus on a specific problem in social media mining ...
• Critical-Path Aware Scheduling for Latency Efficient Broadcast in Duty-Cycled Wireless Sensor Networks 

  Le, Duc-Tai; Im, Giyeol; Le Duc, Thang; Zalyubovskiy, Vyacheslav V.; Kim, Dongsoo S.; Choo, Hyunseung (Hindawi, 2018)

  Minimum latency scheduling has arisen as one of the most crucial problems for broadcasting in duty-cycled Wireless Sensor Networks (WSNs). Typical solutions for the broadcast scheduling iteratively search for nodes able ...
• Administrative Policy for Stochastic Democracy 

  Schubert, Peter J.; Sommer, Joe (AIAA, 2018-09)

  Prior studies of stochastic democracy have compared it to other forms of governance, demonstrated how to scale up or scale down as population changes, and developed an algorithm for start-up on Day 1. Left unanswered is ...
• Complete Hydrogen Storage System by ISRU 

  Schubert, Peter J. (AIAA, 2018)

  New technologies make it possible to build in space a complete hydrogen storage system using ISRU methods and techniques. Hydrogen can be stored in a solid-state form on the surface atoms of high surface area matrices such ...
• Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation 

  Ding, Zhengming; Li, Sheng; Shao, Ming; Fu, Yun (Springer, 2018)

  Unsupervised domain adaptation has caught appealing attentions as it facilitates the unlabeled target learning by borrowing existing well-established source domain knowledge. Recent practice on domain adaptation manages ...
• A Water Demand Prediction Model for Central Indiana 

  Shah, Setu; Hosseini, Mahmood; Miled, Zina Ben; Shafer, Rebecca; Berube, Steve (AAAI, 2018)

  Due to the limited natural water resources and the increase in population, managing water consumption is becoming an increasingly important subject worldwide. In this paper, we present and compare different machine learning ...
• Identification of potential key genes associated with severe pneumonia using mRNA-seq 

  Feng, Cong; Huang, He; Huang, Sai; Zhai, Yong-Zhi; Dong, Jing; Chen, Li; Huang, Zhi; Zhou, Xuan; Li, Bei; Wang, Li-Li; Chen, Wei; Lv, Fa-Qin; Li, Tan-Shi (Spandidos, 2018-08)

  This study aimed to identify the potential key genes associated with severe pneumonia using mRNA-seq. Nine peripheral blood samples from patients with severe pneumonia alone (SP group, n=3) and severe pneumonia accompanied ...
• A Machine Learning Model for Average Fuel Consumption in Heavy Vehicles 

  Schoen, Alexander; Byerly, Andy; Hendrix, Brent; Bagwe, Rishikesh Mahesh; dos Santos, Euzeli C., Jr.; Ben Miled, Zina (IEEE, 2019)

  This paper advocates a data summarization approach based on distance rather than the traditional time period when developing individualized machine learning models for fuel consumption. This approach is used in conjunction ...

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