Search Results - "Tappert, Charles C."

Keystroke Biometric Systems for User Authentication by Ali, Md Liakat, Monaco, John V., Tappert, Charles C., Qiu, Meikang

“…Keystroke biometrics (KB) authentication systems are a less popular form of access control, although they are gaining popularity. In recent years, keystroke…”
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A comparison of classifiers and features for authorship authentication of social networking messages by Li, Jenny S., Chen, Li‐Chiou, Monaco, John V., Singh, Pranjal, Tappert, Charles C.

“…Summary This paper develops algorithms and investigates various classifiers to determine the authenticity of short social network postings, an average of 20.6…”
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Who Is the Father of Deep Learning? by Tappert, Charles C.

“…This paper evaluates candidates for the father of deep learning. We conclude that Frank Rosenblatt developed and explored all the basic ingredients of the deep…”
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The partially observable hidden Markov model and its application to keystroke dynamics by Monaco, John V., Tappert, Charles C.

“…•The partially observable hidden Markov model (POHMM) is introduced.•In keystroke dynamics, the key names partially reveal typist behavior.•The POHMM hidden…”
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The Trend Toward Online Project-Oriented Capstone Courses by Tappert, Charles C., Stix, Allen

“…At Pace University we have been using real-world student projects in capstone computing courses for about 10 years. While the courses were conducted in a…”
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Approximate Query Processing for Big Data in Heterogeneous Databases by Muniswamaiah, Manoj, Agerwala, Tilak, Tappert, Charles C.

“…Big Data analytics is used in decision making. It involves heavy computation to obtain exact answers. To alleviate this problem, approximate query processing…”
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Green computing for Internet of Things by Muniswamaiah, Manoj, Agerwala, Tilak, Tappert, Charles C.

“…Cloud computing services are used to meet the ever-growing demand for IoT. Data centers are increasingly becoming one of the largest consumers of energy to…”
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Fog Computing and the Internet of Things (IoT): A Review by Muniswamaiah, Manoj, Agerwala, Tilak, Tappert, Charles C.

“…IoT integration with cloud brings about numerous benefits to devices that operate on heterogeneous platforms. IoT-based applications generate massive data from…”
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Energy Consumption for IoT Streaming Applications by Muniswamaiah, Manoj, Agerwala, Tilak, Tappert, Charles C.

“…Usage of Internet of Things (IoT) devices are growing rapidly, resulting in the evolution of IoT infrastructure and efficient energy consumption. Organizations…”
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Survey of the use of digital technologies to combat COVID-19 by Muniswamaiah, Manoj, Agerwala, Tilak, Tappert, Charles C.

“…As the world continues to encounter challenges related to public health and economic well-being, technology and big data can be used to carry out analyses and…”
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Federated Query processing for Big Data in Data Science by Muniswamaiah, Manoj, Agerwala, Tilak, Tappert, Charles C.

“…As the number of databases continues to grow data scientists need to use data from different sources to run machine learning algorithms for analysis. Data…”
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Integrating Polystore RDBMS with Common In-Memory Data by Muniswamaiah, Manoj, Agerwala, Tilak, Tappert, Charles C.

“…A polystore system is composed of multiple heterogeneous databases which are used to store data that best suites its features for faster processing and…”
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Performance of databases in IoT applications by Muniswamaiah, Manoj, Agerwala, Tilak, Tappert, Charles C.

“…IoT devices have become necessary today. As technology grows, the need for reliable, secure, and efficient applications has become essential. To have an active…”
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Brain Signal Authentication for Human-Computer Interaction in Virtual Reality by Li, Sukun, Savaliya, Sonal, Marino, Leonard, Leider, Avery M., Tappert, Charles C.

“…The purpose of this research was to determine whether active portions of the brain are influenced by the presence of Virtual Reality(VR) and whether those…”
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Quantum Computing and Deep Learning Working Together to Solve Optimization Problems by Barabasi, Istvan, Tappert, Charles C., Evans, Daniel, Leider, Avery M.

“…This paper explores the use of quantum computing for solving machine learning problems more efficiently. Today's quantum computers are rather primitive, so…”
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Analysis of a Parameter-Based Computational Model of Long-Term Declarative Episodic Memory by Alhwaiti, Yousef, Chowdhury, Mohammad Z., Kamruzzaman, Abu, Tappert, Charles C.

“…While substantial progress has been made to understand the functioning of the human brain from a computational perspective, little progress has been made in…”
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Keystroke Biometric User Verification Using Hidden Markov Model by Ali, Md Liakat, Thakur, Kutub, Tappert, Charles C., Meikang Qiu

“…Biometric systems such as fingerprint, iris, DNA became popular methods in user authentication. Compared to these biometric systems, keystroke biometric…”
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A Survey on Cloudlets, Mobile Edge, and Fog Computing by Muniswamaiah, Manoj, Agerwala, Tilak, Tappert, Charles C.

“…Internet of Things (IoT) continues to play a critical role with a rapid increase in connected devices. Fog computing, accompanied by the edge paradigms for…”
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Authentication and Identification Methods Used in Keystroke Biometric Systems by Ali, Md Liakat, Tappert, Charles C., Meikang Qiu, Monaco, John V.

“…Keystroke dynamics authentication is not as widely used compared to other biometric systems. In recent years, keystroke dynamic authentication systems have…”
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Spoofing key-press latencies with a generative keystroke dynamics model by Monaco, John V., Ali, Md Liakat, Tappert, Charles C.

“…This work provides strong empirical evidence for a two-state generative model of typing behavior in which the user can be in either a passive or active state…”
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