BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

Abstract: The K-nearest neighbors (kNNs) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...

ABSTRACT: The objective of this work is to determine the true owner of a land—public or private—in the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to the ...

Embedding-based search outperforms traditional keyword-based methods across various domains by capturing semantic similarity using dense vector representations and approximate nearest neighbor (ANN) ...

ABSTRACT: Elderly individuals undergoing long-term neuroleptic therapy are increasingly vulnerable to cognitive decline, a condition that significantly impairs quality of life and increases healthcare ...

Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guilin Medical University, Guilin, China Background: Liver metastasis is the most common site of metastasis in pancreatic ...

A man from Hải Dương in Vietnam was relaxing in his living room watching a movie on his cell phone when he noticed a huge python snake on the floor. A home security camera recorded the man's terrified ...

Abstract: This study is intended to provide a novel random forest-based strategy for software bug detection and contrast its efficiency to the conventional K-Nearest Neighbor (KNN) technique. The ...

Astronomers have revealed new evidence that there are not just one but four tiny planets circling around Barnard’s Star, the second-nearest star system to Earth. The four planets, each only about 20 ...