The intensifying global competition among cities necessitates accurate and efficient evaluations of urban business environments to drive economic growth, attract investment, and foster innovation. Traditional assessment methods, often reliant on expe... read more
This study developed price forecasting models for the CEPEA/ESALQ White Crystal Sugar and Hydrous Ethanol Fuel indicators, incorporating variables related to sugarcane supply and climatic conditions. Machine learning models such as Long Short-Term Me... read more
Algal blooms have become a critical environmental issue worldwide, with chlorophyll-a (Chl-a) serving as a key biological indicator for assessing bloom intensity and providing essential insights into bloom dynamics. Based on four field investigations... read more
Node influence prediction is fundamental to epidemic control, viral marketing, and infrastructure resilience, yet traditional susceptible-infected-recovered (SIR) simulations require [Formula: see text] computational operations, rendering real-time a... read more
High-throughput materials characterization is essential for accelerating materials discovery. To enable high-throughput characterization, machine learning (ML) has been a powerful tool. However, the broader application of ML in experimental settings ... read more
Online motor learning is central to effective learning and a crucial determinant of functional recovery after stroke. Despite its clinical significance, predictors of online motor learning remain understudied. Machine Learning (ML) offers a data-driv... read more
The rapid growth of Internet of Things (IoT) deployments has intensified the need for real-time data analytics using lightweight machine learning models that can operate under strict energy, latency, and reliability constraints. While existing studie... read more
To address the unstable target localization and insufficient path planning efficiency caused by complex lighting and dynamic environments during automated robotic arm loading, this study proposes a method for automated robotic arm loading that integr... read more
Cooperative learning has long been recognized as an effective pedagogical strategy, yet the development of innovative techniques tailored to modern educational demands remains a challenge. This study introduces the Curriculum Concept Constellation Te... read more
Against the backdrop of the rapid diffusion of Artificial Intelligence Generated Content (AIGC) and the rise of the "surprise economy," trendy blind-box toys have emerged as a consumption context characterized by emotional stimulation and community-b... read more
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.