• Ocular motion classification for mobile device presentation attack detection 

  Lowe, Jesse (2020)

  As a practical pursuit of quantified uniqueness, biometrics explores the parameters that make us who we are and provides the tools we need to secure the integrity of that identity. In our culture of constant connectivity, ...

• AudioCNN: Audio Event Classification With Deep Learning Based Multi-Channel Fusion Networks 

  Chilukuri, Nagababu (2020)

  In recent years, there is growing interest in environmental sound classification with a plethora of real-world applications, especially in audio fields like speech and music. Recent research works have proven spectral ...

• Automated End-to-End Management of the Deep Learning Lifecycle 

  Gharibi, Gharib (2020)

  Deep learning has improved the state-of-the-art results in an ever-growing number of domains. This success heavily relies on the development of deep learning models--an experimental, iterative process that produces tens ...

• Learning Efficient Deep Feature Extraction For Mobile Ocular Biometrics 

  Reddy, Narsi (2020)

  Ocular biometrics uses physical traits from eye regions such as iris, conjunctival vasculature, and periocular for recognizing the person. Ocular biometrics has gained popularity amongst research and industry alike for its ...

• Data-Driven Modeling of the Lake Chad Basin Hydrologic Systems 

  Djimadoumngar, Kim-Ndor (University of Missouri -- Kansas City, 2019)

  The drying of the Lake, located in Central Africa, is one example of a water crisis, which requires more research and studies. The lake has been progressively shrinking since the 1960s due to climate change and anthropogenic ...

• Anisotropic Mesh Adaptation for Image Segmentation based on Partial Differential Equations 

  Abbas, Karrar Kadhim (2020)

  As the resolution of digital images increases significantly, the processing of images becomes more challenging in terms of accuracy and efficiency. In this dissertation, we consider image segmentation by solving a partial ...

• Deep Open Representative Learning for Image and Text Classification 

  Chandrashekar, Mayanka (2020)

  An essential goal of artificial intelligence is to support the knowledge discovery process from data to the knowledge that is useful in decision making. The challenges in the knowledge discovery process are typically due ...

• Class Representative Projection for Text-based Zero-Shot Learning 

  Narne, Sai Sri (2020)

  There have been significant advances in supervised machine learning and enormous benefits from deep learning for a range of diverse applications. Despite the success of deep learning, in reality, very few works have shown ...

• The Holistic Course Delivery: A Novel Pedagogy for Collegiate Introductory Computer Programming 

  Copus, Belinda Joan (2020)

  For many years there have not been enough computer science graduates to fill open positions. One of the chief barriers to the formation of computer science graduates is that many students are unsuccessful in the introductory ...

• Compression for Machine Vision and Beyond 

  Zhang, Zhaobin (2020)

  Compression has been one of the most fundamental and elusive challenges in both academia and industry. With the sheer increase of high-definition video content over the internet, developing improved compression algorithms ...

• Numerical Analysis of Helical and Log-periodic Antennas for Short Pulse Applications 

  Al-Shaikhli, Waleed (2020)

  The planar log-periodic (LP) and helical antennas are numerically studied as two antennas with a wide range of applications. The advantages of the LP antenna are the large adjustable bandwidth as a frequency independence ...

• Topic Sentiment Trend Detection and Prediction for Social Media 

  Thota, Aashish (2020)

  Social media often plays a crucial role in disseminating information to warn the public about health concerns. Opioid addiction has become of the significant outbreaks in the United States. Studying opioid issues in social ...

• DeepSampling: Image Sampling Technique for Cost-Effective Deep Learning 

  Gaikwad, Priyanka V. (2020)

  Deep learning is beneficial from big data while facing computationally expensive, with an increase in data size. Some severe data issues, such as the presence of highly skewed, sparse, and imbalanced data, would substantially ...

• Distributed Collaborative Framework for Deep Learning in Object Detection 

  Rella, Sirisha (2020)

  Object detection has gained much attention in recent years because of its ability to localize and classify the objects in videos and images that can be incorporated into many applications. Traditional object detection ...

• Siamese Network-Based Multi-Modal Deepfake Detection 

  Nekadi, Raju (2020)

  Deep learning widely applies to solve various problems in healthcare, robotics, and computer vision. Presently, an emerging deep learning application called "deepfake" has raised concerns about the multiple types of security ...

• Cooperative wireless relay networks and the impact of fade duration 

  Gebremichail, Aklilu Assefa (2020)

  In wireless communication networks, the Key Performance Indicator (KPI) parameters are mostly based on the average signal-to-noise ratio (SNR). Other parameters such as site selection during call initiation, handoff, relay ...

• An Arbitrary CRCW PRAM Algorithm for Sorting Integers Into a LinkedList and Chaining on a Trie 

  Goyal, Nikita (2020)

  The research work comprises of two parts. Part one is using an Arbitrary CRCW PRAM algorithm for sorting integers into a linked list. There are various algorithms and techniques to sort the integers in LinkedList. Arbitrary ...

• Lightweight cryptographic protocols for mobile devices 

  Albakri, Ashwag Othman (2020)

  In recent years, a wide range of resource-constrained devices have been built and integrated into many networked systems. These devices collect and transfer data over the Internet in order for users to access the data or ...

• Resilience and survivability of 5G networks 

  Abhishek, Rohit (2020)

  5G is going to be the central force behind the Fourth Industrial Revolution. It is the next-generation wireless technology which is slated to provide a wide range of services. It is geared to provide greater capacity, ...

• Identifying personality and topics of social media 

  Muppala, Trinadha Rajeswari (2019)

  Twitter and Facebook are the renowned social networking platforms where users post, share, interact and express to the world, their interests, personality, and behavioral information. User-created content on social media ...

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