• Information Retrieval Model for Social Media Applications 

  Bhandari, Shova (2021-01)

  Social networks are rich source of data to analyze user habits in all aspects of life. User’s behaviour is decisiv e component of a health system in various countries. Promoting good behaviour can improve the public health ...
• Explicit programming strategies 

  LaToza, Thomas D.; Arab, Maryam; Loksa, Dastyni; Ko, Amy J. (Empirical Software Engineering, 2020-03-07)

  Software developers solve a diverse and wide range of problems. While software engineering research often focuses on tools to support this problem solving, the strategies that developers use to solve problems are at least ...
• Machine Learning Model to Detect Emergency in the Global Pandemic 

  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 ...
• Sentiment Analysis Methods to Mitigate Negative Effect of the COVID-19 Pandemic 

  Mohamud, Sofia A (2021-01-11)

  The goal of this research is to determine crucial factors that played a role in the number of confirmed COVID-19 infections within a given location. We hypothesize that political bias plays a significant role in the rise ...
• A Technical Report on Security Evaluation of Logic Locking: Attacks and Defenses 

  Zamiri Azar, Kimia (2020)
• Conditional Classification: A Solution for Computational Energy Reduction 

  Mirzaeian, Ali; Manoj P D, Sai; Vakil, Ashkan; Homayoun, Houman; Sasan, Avesta (2021)

  Deep convolutional neural networks have shown high efficiency in computer visions and other applications. However, with the increase in the depth of the networks, the computational complexity is growing exponentially. In ...
• Diverse Knowledge Distillation (DKD): A Solution for Improving The Robustness of Ensemble Models Against Adversarial Attacks 

  Mirzaeian, Ali; Kosecka, Jana; Homayoun, Houman; Mohsenin, Tinoosh; Sasan, Avesta (2021)

  This paper proposes an ensemble learning model that is resistant to adversarial attacks. To build resilience, we introduced a training process where each member learns a radically distinct latent space. Member models are ...
• A Technical Report On Accelerator Design For Deep Neural Networks 

  Mirzaeian, Ali (2019)
• A Side Channel Delay Analysis for Hardware Trojan Detection 

  Vakil, Ashkan (2020-10)

  This research proposal introduces a learning assisted modeling technique for the purpose of Hardware Trojan detection. Our proposed model, unlike the prior art, does not require a Golden fabricated chip as a fingerprint ...
• Comparing Muscle Spindle Afferent Models 

  Hachem, Stephanie (Teknos, 2020)

  Proprioception, the internal sense of where your body parts are relative to each other, is essential for many, particularly bimanual, daily activities. Unfortunately, because modern prosthetics lacks this sense it is often ...
• Study in Novel Peripheral Nerve Interface and Application 

  Samra, Amrtpal (2020)

  Bi-directional exchange of information between the peripheral nervous system (PNS) and a computer interface can be achieved through the use of a peripheral nerve interface (PNI). Sophisticated PNI’s can be used to augment ...
• Prosthetic Retina Literature Review 

  Holland, William (2020)

  Retinal implants have become a more feasible eye-corrective tool in recent years. Examples of modern retinal implants include: the Argus II electronic epiretinal device, and the IMS electronic subretinal device (Jalil, ...
• Measurements to Detect Mental Fatigue 

  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 ...
• A machine learning approach to predict rtms therapy response in major depressive disorder 

  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 ...
• DNA nanotechnology in neural engineering: A perspective 

  Vargas, Merlyn (2020-05)

  DNA nanotechnology has great potential as a platform to enhance neural engineering approaches. DNA based nanoparticles are biocompatible and easy to functionalize [1]. Peptides or proteins can be conjugated to DNA nanoparticles ...
• Utilizing EEG to detect covert command-following in vegetative traumatic brain injury patients: A review 

  Leonard, Julia (2020)

  1.7 million people in the US suffer from traumatic brain injury (TBI) each year, typically resulting from car accidents, contact sports, military operations, and falls [1]. Currently, healthcare personnel rely on the Glasgow ...
• Interpreting Speech and Sounds from Neural Activity, a Brief Overview 

  Ryan, Andrew (2020)

  For people who are mute, or are completely paralyzed, one of the primary problems they have to deal with is being able to communicate. One potential solution to compensate for decreased communication functions is by using ...
• Network Video Recording and Their Challenges 

  Blot, Thomas "T. J."; Duong, Loc; Kim, Douglas (2020)
• Neuroscience Research in Spatial Navigation Using Robotic Animals 

  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 ...
• Biophysical Neuromodulation: An Integrative Approach 

  Bush, Joshua (2020)

  The brain remains the key to our experiential reality. From sensory perception to an internal expanse the brain remains the hardware and processing unit. The age in which we can precisely alter the hardware with which we ...

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