1 Department of Clinical Laboratory, The Second Affiliated Hospital of Hainan Medical University, Haikou, China 2 School of Computer Science and Technology, Hainan University, Haikou, China Pulmonary ...

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

ABSTRACT: The study aims to provide insights into the benefits and potential risks associated with its adoption. The findings will be valuable for organizations considering transitioning to SDN, ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...

Abstract: The scarcity of fault samples severely limits the performance of traditional fault diagnosis methods under small samples. To address this issue, this article proposes a multipath Siamese ...

This project contains the Python implementation used to train, validate, and test the proposed lightweight hybrid Siamese neural network on a personal computer. The trained models can be exported to ...

Abstract: Real-time object tracking in dynamic environments poses significant challenges in balancing computational efficiency with robust performance under complex scenarios such as occlusion and ...

Department of Chemistry, New York University, New York, New York 10003, United States Department of Chemistry, New York University, New York, New York 10003, United States Simons Center for ...

State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, P. R. China ...