In retail 85% of sales occur in physical stores. In the U.S. alone, people spend roughly 37 billion hours each year waiting in line in physical stores. This leads to 4.4 billion potential work productive hours lost or comparatively 4.4 billion hours of leisure, rest or time with…
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Experiencing narratives about physical locations encourages connections between readers/listeners and increases their awareness of these places. This can hopefully in turn lead to further exploration and the spread of ideas and otherwise geo-fixed traditions and stories. Region …
In the fast-paced world of technology, life is transforming into a connected universe of Internet-of-Things (IoT), assisting human needs and creating a better world. United with AI, IoT technologies that once could only be dreamed of have become a reality. This work introduces A…
Opinion Mining plays a vital role in social networking sites like Twitter, where users share their opinions, and by analyzing the responses (likes, comments, and shares), we can obtain product popularity. Opinion Maximization (OM) is a variant of influence maximization (IM). Unl…
Communication is a universal process by which two or more individuals exchange information. A communication task that we study involves two (or more) parties, each given their own private input, trying to solve a function f or other computational task on their inputs together. F…
Virtual reality (VR) streaming (a.k.a., 360-degree video streaming) has been gaining popularity recently as a new form of multimedia providing the users with immersive viewing experience. However, the high volume of data for the 360-degree video frames creates significant bandwi…
Surveillance systems on a massive scale can be a vital tool for law enforcement agencies. In fact, an effective surveillance system automatically monitors all available data feeds in search of known suspects. These data could be directly linked to individuals as biometrics (face…
Image Forensics has become an important area of research due to the exponential increase in availability and free exchange of media. The accessibility to good quality sensors and image hosting websites is now at the disposal of more users than ever. The increase in sharing of im…
Automatic Question Answering (QA) is the problem of finding answers to natural language questions asked by human users. In recent years, research on QA has gone through tremendous progress with the emergence of new knowledge sources and the application of deep learning technolog…
With the explosion of chip transistor counts, the semiconductor industry has struggled with ways to continue scaling computing performance in line with historical trends. In recent years, the de facto solution to utilize excess transistors has been to increase the size of the on…
Neuromorphic engineering is a discipline that aims to address the shortcomings of today's serial computers, namely large power consumption, susceptibility to physical damage, as well as the need for explicit programming, by applying biologically-inspired principles to develop ne…
This dissertation addresses the fundamental problem of how to build computing systems for the nanoscale. With CMOS reaching fundamental limits, emerging nanomaterials such as semiconductor nanowires, carbon nanotubes, graphene etc. have been proposed as promising alternatives. H…
Radio Frequency IDentification (RFID) is an automatic identification technology that uses radio frequency to identify objects. Securing RFID systems and providing privacy in RFID applications has been the focus of much academic work lately. To ensure universal acceptance of RFID…
With the rapid development and popularity of information technology, criminals and mischievous computer users are given avenues to commit crimes and malicious activities. One of the commonly used tactics, called steganography, is to hide information under a cover media so that e…
With the growing ubiquity of mobile devices, users are turning to their smartphones and tablets to perform more complex tasks than ever before. Performing computer vision tasks on mobile devices must be done despite the constraints on CPU performance, memory, and power consumpti…
Prediction models based on different concepts have been proposed in recent years. Improving the accuracy of prediction models has remained as a challenging task for researchers. In the development of time series analysis, it is well known that many phenomena are non-linear and h…
The study focuses on building a financial model for a telecommunications carrier to guide it towards profitable network investments. The model shows optimal access-network topography by comparing two broadband delivery techniques over fibre technology. The study is a scenario ex…
Advances in super-resolution imaging have been made by reconstruction, interpolation and example-based algorithmic techniques drawn from the fields of signal and image processing, machine learning, biologically-inspired computer vision, and psychology. However, the performance o…
The semiconductor industry has been driven by Moore's law for almost half a century. Miniaturization of device size has allowed more transistors to be packed into a smaller area while the improved transistor performance has resulted in a significant increase in frequency. Increa…