Public interest in “Ozempic face” rose sharply from 2022 to 2025, mirrored by increased searches for nonsurgical facial ...

Mingi Kang ’26 received a Fall Research Award from Bowdoin this semester to support his project exploring how two distinct ...

Abstract: Time-series calibration is essential for ensuring consistency and comparability across different Synthetic Aperture Radar (SAR) images, which is critical for long-term sequence analysis ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Abstract: This paper focuses on a multidimensional indicator prediction assessment method based on time series and multiple linear regression modelling. Through in-depth analysis of relevant data, ...

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...

ABSTRACT: Predicting stock market trends remains a heavily researched topic due to the inherent complexity of market fluctuations, driven by subjective and often unpredictable factors. These ...

Introduction: Public health data analysis is critical to understanding disease trends. Existing analysis methods struggle with the complexity of public health data, which includes both location and ...

Cerebral physiological signals embody complex neural, vascular, and metabolic processes that provide valuable insight into the brain’s dynamic nature. Profound comprehension and analysis of these ...