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Browsing Volgenau School of Engineering by Title

Browsing Volgenau School of Engineering by Title

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  • Stewart, Carson (2021)
    While Neural Engineering has had breakthrough technologies including cochlear implants for hearing restoration and deep brain stimulation for a range of diseases including Parkinson’s, engineering approaches to several ...
  • Hieb, Michael R.; Pullen, J. Mark (2006-05-05)
    Agents assist users with performing tasks in computer-based applications. The current practice of building an agent involves a developer programming it for each task it must perform, but agents constructed in this manner ...
  • O'Shea, Bailey (2020)
    With the reoccurrence of unnecessary open surgeries on potential malignant tissue, there is a need for additional non-invasive tools oncologists and radiologists can utilize to help argue the reason behind performing ...
  • Curtin, Kevin M. (2009-09-15)
    This paper outlines a motivation for associating IED events (and other significant physical and human geographic features) with the road network, describes the use of methods known as linear referencing in order to do so, ...
  • Givens, Jordan (2021)
    According to a systemic review of population-based data sets relevant to global vision impairment and or blindness between 1980 in 2015, there is an estimated 36 million people who suffer from blindness [4]. An additional ...
  • Perera, Kevin (2019-05)
    The Circle of Willis is a network of internal carotid arteries, basilar arteries, and vertebral arteries all coming together to perfuse the brain with blood. In the event that stenosis occludes part of the circle, the ...
  • Shams, Mohammad (2020-05)
    Machine learning techniques have been utilized to predict the outcome of repetitive transcranial magnetic stimulation (rTMS) treatment in depression, e.g., through classifying the responders (R) and non-responders (NR) to ...
  • Raju, Rini (2021-01-11)
    It is crucial to use advanced machine learning models to improve disaster and emergency response in critical events around the world. In this paper, we introduce a new model, which can highlight the essential help that ...
  • Shukla, Sanket; Kolhe, Gaurav; Homayoun, Houman; Manoj P D, Sai; Rafatirad, Setareh (2019)
    Malware is a global threat and it has seen a tremendous increase as well as diversity which made threat detection and analysis a pivotal challenge to address. The increasing diversity in the malware syntax and behavior is ...
  • Asif, Zara (2020-05)
    Mental fatigue is defined as a “state of reduced mental alertness that impairs performance” It affects nearly everyone in society at some point and has become one of the leading causes of workplace accidents [2]. Common ...
  • Costa, Paulo C. G.; Laskey, Kathryn B.; Takikawa, Masami; Pool, Michael; Fung, Francis; Wright, Edward J. (CCRP Publications, 2005-06)
    Among the lessons learned from recent conflicts stands the dramatic change in the very way wars are fought. There are no more clear-cut enemies or allies; rules of engagement have become increasingly fuzzy; guerrilla and ...
  • Laskey, Kathryn B. (2006-02-03)
    Uncertainty is a fundamental and irreducible aspect of our knowledge about the world. Probability is the most well-understood and widely applied logic for computational scientific reasoning under uncertainty. As theory and ...
  • Ibrahim, Lamis (2021)
    epileptic seizure is a neurological disorder caused by abnormal activity of nerve cells in the brain. Epileptic seizures may happen while the patient is awake or asleep, and may cause loss of consciousness, falling, or ...
  • AlGhamdi, Ghazi; Laskey, Kathryn B.; Wright, Edward J.; Barbará, Daniel; Chang, K.C. (2006-03-06)
    This paper tackles a key aspect of the information security problem: modeling the behavior of insider threats. The specific problem addressed by this paper is the identification of malicious insider behavior in trusted ...
  • Costa, Paulo C. G.; Laskey, Kathryn B. (2006-01-27)
    An introduction is provided to Multi-Entity Bayesian Networks (MEBN), a logic system that integrates First Order Logic (FOL) with Bayesian probability theory. MEBN extends ordinary Bayesian networks to allow representation ...
  • Kolhe, Gaurav S. (2019)
    Central Process Units (CPUs) are becoming the standard processors of current computing systems design. With the increasing performance requirements, the number of transistors on single chip unit cannot grow exponentially ...
  • Thomas, Alan; Turner, Thomas; Soderlund, Scott (2008)
    The Net-Centric Adapter for Legacy Systems (NCALS) is a software technology that makes legacy system data and services available in near real-time to the Global Information Grid (GIG). The intent of NCALS is to lower the ...
  • Blot, Thomas "T. J."; Duong, Loc; Kim, Douglas (2020)
  • O'Connell, Rachel (2021)
    This literature review discusses how researchers can control cardiac cells with neural networks. The cardiac system is controlled by the autonomic nervous system and coordinates with the respiratory system. Numerous ...
  • Sutton, Nate (2020)
    The focus of this review is neuroscience research using robots programmed to navigate spatial environments using methods based on animal cognition. The use of cognition-based methods in robot navigation has multiple ...

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