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Articles 1 - 9 of 9
Full-Text Articles in Business
Artificial Intelligence And The Entertainment Industry, Caroline Rae Mccarthy
Artificial Intelligence And The Entertainment Industry, Caroline Rae Mccarthy
Honors Theses and Capstones
Artificial intelligence is a fast-growing technology that is quickly taking over many industries, such as the entertainment industry. Artificial intelligence has the capability to replicate voices, create fake videos and photos, called deepfakes, of just about anything, and can practically bring people back to life. This technology, as it stands now, is similar to the wild west because in the vast majority of places, it’s lawless. Artificial intelligence is growing so rapidly that lawmakers haven’t had a chance to keep up. This paper explains more of what AI does in everyday life, and how its abilities can impact the entertainment …
Electronic Banking And Fintech: Changes Over The Years, Disruptions And Where It Will Head In The Future, Patricia C. Laws
Electronic Banking And Fintech: Changes Over The Years, Disruptions And Where It Will Head In The Future, Patricia C. Laws
Honors Theses and Capstones
This paper investigates the changes to banking over the years, and the ways in which it has transformed. It investigates the advantages and disadvantages of online banking and looks forward into the future of banking. The research discusses where banking will head and how far it may advance. I use a survey to reveal customers’ perceptions regarding the preferences they have pertaining to electronic banking, and how participative they are in the system. It looks to gain valuable knowledge about electronic banking uses and advantages, so that we can predict how it may change the future, and how it is …
Realtime Event Detection In Sports Sensor Data With Machine Learning, Mallory Cashman
Realtime Event Detection In Sports Sensor Data With Machine Learning, Mallory Cashman
Honors Theses and Capstones
Machine learning models can be trained to classify time series based sports motion data, without reliance on assumptions about the capabilities of the users or sensors. This can be applied to predict the count of occurrences of an event in a time period. The experiment for this research uses lacrosse data, collected in partnership with SPAITR - a UNH undergraduate startup developing motion tracking devices for lacrosse. Decision Tree and Support Vector Machine (SVM) models are trained and perform with high success rates. These models improve upon previous work in human motion event detection and can be used a reference …
Are There Differences In Music Preferences Following Major Events?, Ian A. Grant
Are There Differences In Music Preferences Following Major Events?, Ian A. Grant
Honors Theses and Capstones
No abstract provided.
It Security Policy Compliance: A University Perspective, Jack D. Barnes
It Security Policy Compliance: A University Perspective, Jack D. Barnes
Honors Theses and Capstones
No abstract provided.
Data Disparity: Tiered Pricing As An Alternative To Consumer Iot Data Privacy Regulations, Matthew Lostocco
Data Disparity: Tiered Pricing As An Alternative To Consumer Iot Data Privacy Regulations, Matthew Lostocco
Honors Theses and Capstones
In recent years, Internet of Things (IoT) devices have exploded on the consumer scene. These emerging products bring new technological capabilities into our everyday lives. IoT is projected to contribute anywhere from $4-11 trillion to the global economy and companies are investing billions of dollars into the technology. However, with the vast amount of data that IoT devices collect, consumers are burdening the risk of having their personal data breached or sold to third parties. This paper first identifies why consumers may be weary or willing towards providing their personal data and how unconscious biases in the purchasing process cause …
Alternative Energy: An Examination Of Costs, Safety, And Potential, Evan Searles
Alternative Energy: An Examination Of Costs, Safety, And Potential, Evan Searles
Honors Theses and Capstones
No abstract provided.
Algorithms And Automation: Fostering Trustworthiness In Artificial Intelligence, Andrew B. Ware
Algorithms And Automation: Fostering Trustworthiness In Artificial Intelligence, Andrew B. Ware
Honors Theses and Capstones
No abstract provided.
The Use Of Twitter By Luxury And Midscale Hotels, Yolanda M. Tselepidakis
The Use Of Twitter By Luxury And Midscale Hotels, Yolanda M. Tselepidakis
Honors Theses and Capstones
Twitter has demanded a presence in company brands since its start up in 2008, including the hotel industry. As an up and coming marketing tool, the social media website is still new to both hotels and their guests. Observing the different strategies incorporated by luxury and midscale hotels, the paper provides explanations on how these two segments differ in utilizing Twitter. Through direct interviews with US luxury and midscale hotels and analyzing individual Twitter feeds, it was found that luxury hotels and their target market are much more active on Twitter than the midscale hotel segment. Implications suggest that although …