• 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 ...

• Multi-modal emotion detection using deep learning for interpersonal communication analytics 

  Gogadi, Sravanthi (2019)

  In recent years, deep learning technologies have been increasingly applied to generate meaningful data for advanced research in humanities and sciences. Interpersonal communication skills are crucial to success in science. ...

• Static random-access memory designs based on different FinFET at lower technology node (7nm) 

  Nizam, Athiya (2019)

  The Static Random-Access Memory (SRAM) has a significant performance impact on current nanoelectronics systems. To improve SRAM efficiency, it is important to utilize emerging technologies to overcome short-channel effects ...

• Design and practical realization of polymorphic crosstalk circuits using 65nm TSMC PDK 

  Repalle, Bhavana Tejaswini (2019)

  As the technology node scales down, the coupling capacitance between the adjacent metal lines increases. With an increase in this electrostatic coupling, the unwanted signal interference also increases, which is popularly ...

• Frequency and time domain analysis of carbon nanotubes with realistic shape and distribution 

  Islam, Md Khadimul (2019)

  Carbon nanotube (CNT) composites have been of significant research interest in a wide range of applications. For electromagnetic applications, simplifying assumptions regarding the distribution and shapes of the CNTs are ...

• Improving Extreme Low-light Image Denoising via Residual Learning 

  Maharjan, Paras (2019)

  Taking a satisfactory picture in a low-light environment remains a challenging problem. Low-light imaging mainly suffers from noise due to the low signal-to-noise ratio. Many methods have been proposed for the task of image ...

• Efficient sequential designs with asymptotic second-order lower bound of Bayes risk for estimating product of means 

  Xia, Xing (2019)

  In order to estimate the reliability of sequentially designed procedures under the Bayesian framework with conjugate priors, a sharp lower bound for the Bayes risk has been derived. Chapter 1 and 2 introduce the background ...

• TaskDo: A Daily Task Recommender System 

  Gurram, Nikhil Sai Santosh (University of Missouri -- Kansas City, 2019)

  Time is a constant entity and an invaluable element for every living person on this planet. Even with all modern-day technologies being available, many individuals like working professionals, students, and house makers ...

• Parking Availability Forecasting Model 

  Boorlu, Manohar (University of Missouri -- Kansas City, 2019)

  Parking is increasingly an issue in the world today especially in large and growing cities with contemporary urban mobility. The effort spent in searching for available parking spots results in significant loss of ...

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