Publications

Artificial intelligence and machine learning applications in underwriting, fraud detection, and risk assessment

This paper examines the transformative role of artificial intelligence (AI) and machine learning (ML) in insurance, focusing on applications in underwriting, fraud detection, and risk assessment. It explores how AI/ML algorithms enhance underwriting accuracy b

A machine learning approach for detecting biofouling in oceanographic data

Autonomous ocean observing platforms collect long-term biogeochemical time series, but sensor degradation from biofouling introduces progressive biases that contaminate the climate record. This work focuses on the BGC-Argo fleet of profiling floats, where opti

What Artificial Intelligence is, Isn't and Might Become

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning

Artificial Intelligence and Machine Learning Algorithms for Engineering Applications

Impact of Artificial Intelligence and Machine Learning Platforms on Consumer Decision-Making Processes

Artificial Intelligence (AI) and Machine Learning (ML) platforms have become ubiquitous in various industries, reshaping traditional processes and significantly impacting consumer decision-making. This research article explores the multifaceted impact of AI an

Artificial Intelligence and Algorithmic Pricing in Practice: Machine Learning Methods and Antitrust Implications

Algorithmic pricing has emerged as the digital weapon in a world in which antitrust enforcement risks following statutory guidelines crafted for an analog age. This observation does not imply that existing antitrust laws do not address the role of algorithmic

Review of: "Supply Chain Fraud Prediction with Machine Learning and Artificial intelligence"

Also of Interest

Machine Learning

Machine Learning for Marketing Practitioners

Machine Learning (ML) has an impact on many facets of life, and it manifests itself in the shape of intelligent devices and intelligent applications, which are designed to analyze and anticipate customer behavior, requirements, and preferences in order to prov

Artificial Intelligence/Machine Learning Technologies for Advanced Reactors (Workshop Summary Report)

Review of: "Generative Artificial Intelligence Using Machine Learning on Wireless Ad Hoc Networks"

Front Matter

Conclusion and Future Directions

Artificial Intelligence and Machine Learning

From Coding to Creativity: Integrating Design Thinking into IT and Technology Education

This study examines how the integration of Design Thinking into Information Technology (IT) and technology education can bridge technical programming skills and creative, human-centered problem-solving. Specifically, it explores how the five stages of Design T

Digital technologies for innovative research networking including research to inform educational innovations in twenty-first century learning

The New Zealand Collaborative Action and Research Network (NZCA&RN) has attracted an unusually strong gathering of researchers working on innovations with digital technologies in education. The inaugural symposium proceedings (Davis, Fletcher, Morrow, McGrath

A New Generation of Goals for Technology Education

[Introduction, First paragraph] To develop meaningful instructional programs for technology education, goals need to be in place to direct the outcomes of curriculum development and teaching. Goals are program terminal outcomes that focus curriculum writers or

An Exploratory Research on Constructing a Model of Innovation and Entrepreneurship Education for College Students Based on Fuzzy Neural Network Algorithm

In order to improve the adaptive scheduling ability of the innovation and entrepreneurship education model for college students, a brain computing-based innovation and entrepreneurship education model for college students is proposed. Through career-planning e