Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

1Collaboration for Outcomes Research and Evaluation (CORE), Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada. 2International Collaboration on Repair Discoveries ...

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...

An HR advisor with a background in recruitment and HRIS functions, with a passion for video games and writing. Oliver grew up playing Call of Duty with his siblings and has garnered 1000s of hours ...

The art of finding patterns or communities plays a central role in the analysis of structured data such as networks. Community detection in graphs has become a field on its own. Real-world networks, ...

Using drone imagery, New Zealand researchers are evaluating a deep learning model called BirdDetector, as it analyzes Salvin’s albatross populations across the Bounty Islands. After testing the model ...

Introduction: Adolescent suicide is a critical public health concern worldwide, necessitating effective methods for early detection of high suicidal ideation. Traditional detection methods, such as ...

The current altcoin bear market has lasted over 1,200 days, surpassing all previous cycles in duration and severity. Despite Bitcoin hitting new highs, altcoins remain suppressed, with total market ...

Hi, I'm Bill. I'm a software developer with a passion for making and electronics. I do a lot of things and here is where I document my learning in order to be able to inspire other people to make ...