On a continent where the tyranny of distance is a day-to-day reality, autonomous approaches underpin the operation of mining, ...
Abstract: As deep learning (DL) continues to advance, effective feature extraction from large-scale data remains crucial for enhancing model performance. To leverage the advantages of the frequency ...
Introduction: Optimizing fracturing parameters under multi-factor, complex conditions remains challenging in low-permeability reservoirs. Methods: We extract stage-aware construction-curve features, ...
College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...
Researchers have successfully demonstrated quantum speedup in kernel-based machine learning. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.
ABSTRACT: In recent years, a considerable amount of scientific research has been conducted on eye tracking, distance/online learning and machine learning. However, there is no comprehensive ...
Soil contamination by environmental pollutants, particularly polycyclic aromatic hydrocarbons (PAHs), can significantly affect human health due to their carcinogenic and mutagenic properties. In this ...
Abstract: This research develops a machine vision algorithm integrating deep learning feature extraction (ResNet-based), edge computing optimization (TensorRT), and fast reconstruction (ICP) to ...
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