Abstract: Recent advancements in deep learning architectures have made it possible to solve a wide range of classification problems present in industrial applications. However, many CNN architectures ...
Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, Texas 77843, United States Chemical Engineering Department, Texas A&M University at Qatar, Education City, ...
A multimodal deep learning solution for predicting product prices using both text descriptions and product images, developed for the Amazon ML Challenge. amazon-ml-challenge/## 🎯 Overview## 🎯 ...
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In this paper, we introduce a methodology to improve upon the ...
Abstract: Models with high precision and strong generalisation capabilities can better solve prediction problems in daily life. However it is a challenge to select and build a highly adaptable model.
1 Aviation Service Institute,Jiangsu Aviation Technical College, Zhenjiang, China 2 Ocean College, Jiangsu University of Science and Technology, Zhenjiang, China Reliable forecasting of air cargo ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback