Highly detailed 3D scans of dense tropical rain forest plots are enabling precise estimates of tree structure, volume and ...

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...

Meta has now rolled out the "Build Your 2026 Algorithm" feature for Instagram Reels to allow users use it to personalize their feeds. Instagram Reels 'Build Your 2026 Algorithm' Now Live After a test ...

Five principal factors were identified as significantly associated with DPN risk: age (OR = 1.257, 95% CI [1.188–1.367], p < 0.001), serum 25(OH)D3 levels (OR = 0.791, 95% CI [0.759–0.854], p < 0.001) ...

Abstract: A precise change detection in the multi-temporal optical images is considered as a crucial task. Although a variety of machine learning-based change detection algorithms have been proposed ...

In this video, we explore why Spotify's shuffle feature isn't truly random and operates based on an algorithm. We discuss the reasons behind our preferences for non-random shuffle, the results of an ...

Radiotherapy Department of the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China Background: Chemotherapy-induced peripheral neuropathy (CIPN) is a progressive and ...

ABSTRACT: This study presents a comparative analysis of machine learning models for threat detection in Internet of Things (IoT) devices using the CICIoT2023 dataset. We evaluate Logistic Regression, ...

ABSTRACT: Credit risk assessment plays an important role in financial services by estimating the chance of a borrower defaulting. Recently, although the Large Language Models (LLMs) have demonstrated ...