The emerging convergence of AI-first design principles and environmental consciousness is reshaping how we think about ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Kentucky Nonprofit Network (KNN) has named Aimee Jewell Director of Learning and Capacity. In the role, she will lead KNN’s statewide learning strategy, developing trainings, workshops and leadership ...

Artificial intelligence is rapidly changing the job market, automating jobs across industries. Therefore, in such a scenario, upskilling oneself in industry-relevant AI skills becomes even more ...

Abstract: This study examined methods for analyzing data with complex structures, extreme values, and NaN values using machine learning models. The techniques of removing NaN values and using KNN ...

The field of neuroimaging has undergone profound transformation in recent years, driven primarily by rapid advances in machine learning (ML), and especially deep learning (DL), techniques. These ...

ABSTRACT: This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples ...

SmartKNN is a nearest-neighbor–based learning method that belongs to the broader KNN family of algorithms.

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 ...

Postpartum depression (PPD) is a common and serious mental health complication after childbirth, with potential negative consequences for both the mother and her infant. This study aimed to develop an ...