Abstract: Semantic change detection (SCD) represents a challenging task in the interpretation of remote sensing images (RSIs), with the goal of identifying change regions and extracting semantic ...
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 ...
Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...
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 ...
ABSTRACT: The VMamba (Visual State Space Model) is built upon the Mamba model by stacking Visual State Space (VSS) modules and utilizing the 2D Selective Scan (SS2D) module to extend the original ...
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 ...
This thesis presents a new IoT-focused attack dataset and a Siamese neural network IDS designed for IoT networks. The model, benchmarked against TON_IoT, demonstrated high reliability in detecting ...
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