Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?
Abstract: The rapid evolution of Adaptive Education highlights the necessity of personalized learning paths that cater to the unique cognitive styles, preferences, and capabilities of each student.
A lightweight framework that gives language models (LMs) a persistent, evolving memory during inference time. Dynamic Cheatsheet (DC) endows black-box language models with the ability to store and ...
The ChargeWise California pilot shows a major win for dynamic pricing in EV charging, dramatically improving load optimization over standard time-of-use methods. Dynamic pricing-based pilot with MCE ...
1 School of Geosciences and Info-Physics, Central South University, Changsha, Hunan, China 2 Institute of Resources and Environmental Engineering, Guizhou Institute of Technology, Guiyang, Guizhou, ...
Abstract: When the potential time-frequency distribution is affected by components of the signal intersecting in the time-frequency space, algorithms for estimating instantaneous frequency based on ...
Institute of Logistics Science and Engineering of Shanghai Maritime University, Pudong, China Introduction: This study addresses the joint scheduling optimization of continuous berths and quay cranes ...
Key Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), College of Laboratory Medicine, Chongqing Medical Laboratory Microfluidics and SPRi Engineering Research Center, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback