New 100 mg/dL Target Glucose setting offers more customization and tighter glucose management. Enhanced algorithm helps users remain in Automated Mode to improve the user experience. Most requested ...
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, ...
A new rule is going into effect next year that will affect high earners who make “catch-up contributions” in their 401(k)s or other tax-deferred workplace retirement plans. The rule, which was created ...
In August 2025, a rumor spread online that the language learning app Duolingo apologized for calling "Harry Potter" author JK Rowling "mean" in a German lesson. Duolingo did, in fact, apologize in an ...
President Trump signed executive order on Thursday aimed at allowing investors greater access to alternative assets to 401(k) plans. Private market assets bring diversification to investment ...
Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...
ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...
U.S. stocks continued to tumble in the wake of President Donald Trump’s Wednesday tariff announcement, raising concerns among investors stashing away money in retirement funds like 401(k)s. After ...
Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering algorithms to a ...
President Donald Trump promised on the campaign trail that he would usher America into a fresh era of economic prosperity. But jitters were felt on Wall Street last week when Trump decided to move ...
Abstract: Accurate offset measurement is crucial for recovering the size of past earthquakes and understanding the recurrence patterns of strike-slip faults. Traditional methods, which rely on manual ...
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