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Articles 1 - 8 of 8
Full-Text Articles in Library and Information Science
Exploring Algorithmic Literacy For College Students: An Educator’S Roadmap, Susan Gardner Archambault
Exploring Algorithmic Literacy For College Students: An Educator’S Roadmap, Susan Gardner Archambault
LMU/LLS Theses and Dissertations
Research shows that college students are largely unaware of the impact of algorithms on their everyday lives. Also, most university students are not being taught about algorithms as part of the regular curriculum. This exploratory, qualitative study aimed to explore subject-matter experts’ insights and perceptions of the knowledge components, coping behaviors, and pedagogical considerations to aid faculty in teaching algorithmic literacy to college students. Eleven individual, semi-structured interviews and one focus group were conducted with scholars and teachers of critical algorithm studies and related fields. Findings suggested three sets of knowledge components that would contribute to students’ algorithmic literacy: general …
Integration Of Blockchain Technology Into Automobiles To Prevent And Study The Causes Of Accidents, John Kim
Integration Of Blockchain Technology Into Automobiles To Prevent And Study The Causes Of Accidents, John Kim
Electronic Theses, Projects, and Dissertations
Automobile collisions occur daily. We now live in an information-driven world, one where technology is quickly evolving. Blockchain technology can change the automotive industry, the safety of the motoring public and its surrounding environment by incorporating this vast array of information. It can place safety and efficiency at the forefront to pedestrians, public establishments, and provide public agencies with pertinent information securely and efficiently. Other industries where Blockchain technology has been effective in are as follows: supply chain management, logistics, and banking. This paper reviews some statistical information regarding automobile collisions, Blockchain technology, Smart Contracts, Smart Cities; assesses the feasibility …
Fighting Mass Diffusion Of Fake News On Social Media, Abdallah Musmar
Fighting Mass Diffusion Of Fake News On Social Media, Abdallah Musmar
USF Tampa Graduate Theses and Dissertations
Fake news has been considered one of the most challenging problems in the last few years. The effects of spreading fake news over social media platforms are widely observed across the globe as the depth and velocity of fake news reach far more than real news (Vosoughi et al., 2018). The plan for the following dissertation is to investigate the mass spread of fake news across social media and propose a framework to fight the spread of fake news by mixing preventive methods that could hinder the overall percentage of fake news sharing. We plan to create a study on …
Improving Collection Understanding For Web Archives With Storytelling: Shining Light Into Dark And Stormy Archives, Shawn M. Jones
Improving Collection Understanding For Web Archives With Storytelling: Shining Light Into Dark And Stormy Archives, Shawn M. Jones
Computer Science Theses & Dissertations
Collections are the tools that people use to make sense of an ever-increasing number of archived web pages. As collections themselves grow, we need tools to make sense of them. Tools that work on the general web, like search engines, are not a good fit for these collections because search engines do not currently represent multiple document versions well. Web archive collections are vast, some containing hundreds of thousands of documents. Thousands of collections exist, many of which cover the same topic. Few collections include standardized metadata. Too many documents from too many collections with insufficient metadata makes collection understanding …
Bridging The Simulation-To-Reality Gap: Adapting Simulation Environment For Object Recognition, Hardik Yogesh Sonetta
Bridging The Simulation-To-Reality Gap: Adapting Simulation Environment For Object Recognition, Hardik Yogesh Sonetta
Electronic Theses and Dissertations
Rapid advancements in object recognition have created a huge demand for labeled datasets for the task of training, testing, and validation of different techniques. Due to the wide range of applications, object models in the datasets need to cover both variations in geometric features and diverse conditions in which sensory inputs are obtained. Also, the need to manually label the object models is cumbersome. As a result, it becomes difficult for researchers to gain access to adequate datasets for the development of new methods or algorithms. In comparison, computer simulation has been considered a cost-effective solution to generate simulated data …
Multimodal Data Fusion And Attack Detection In Recommender Systems, Mehmet Aktukmak
Multimodal Data Fusion And Attack Detection In Recommender Systems, Mehmet Aktukmak
USF Tampa Graduate Theses and Dissertations
The commercial platforms that use recommender systems can collect relevant information to produce useful recommendations to the platform users. However, these sources usually contain missing values, imbalanced and heterogeneous data, and noisy observations. Such characteristics render the process of exploiting the information nontrivial, as one should carefully address them during the data fusion process. In addition to the degenerative characteristics, some entries can be fake, i.e., they can be the outcomes of malicious intents to manipulate the system. These entries should be eliminated before incorporation to any recommendation task. Detecting such malicious attacks quickly and accurately and then mitigating them …
A Fuzzy Hierarchical Decision Model And Its Application In Networking Datacenters And In Infrastructure Acquisitions And Design, Michael Khader
A Fuzzy Hierarchical Decision Model And Its Application In Networking Datacenters And In Infrastructure Acquisitions And Design, Michael Khader
Walden Dissertations and Doctoral Studies
According to several studies, an inordinate number of major business decisions to acquire, design, plan, and implement networking infrastructures fail. A networking infrastructure is a collaborative group of telecommunications systems providing services needed for a firm's operations and business growth. The analytical hierarchy process (AHP) is a well established decision-making process used to analyze decisions related to networking infrastructures. AHP is concerned with decomposing complex decisions into a set of factors and solutions. However, AHP has difficulties in handling uncertainty in decision information. This study addressed the research question of solutions to AHP deficiencies. The solutions were accomplished through the …
Knowledge-Based System For Flight Information Management, Wendell R. Ricks
Knowledge-Based System For Flight Information Management, Wendell R. Ricks
Dissertations, Theses, and Masters Projects
No abstract provided.