In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study ...
Swish-Cardioid CV-CNN: A Novel Complex-Valued Activation Framework for PolSAR Terrain Classification
Abstract: Activation functions are pivotal in complex-valued convolutional neural networks (CV-CNNs) as they govern the nonlinear learning of amplitude–phase relationships in polarimetric synthetic ...
Abstract: Electroencephalogram (EEG) has been widely employed in emotion recognition, seizure detection, and brain-computer interface applications. This article presents an elaborated RISC-V-based EEG ...
Abstract: This study investigates the performance of various algorithms, including SVM, CSSVM, SVM-TLBO, and CSSVM-TLBO, using ten-fold cross-validation to evaluate their accuracy in predicting ...
Years of rising costs for necessities like housing, transportation and healthcare are causing many Americans to feel like financial comfort — once a feature of middle-class life — is getting further ...
Abstract: Metals are used in almost every sector of human life, from household appliances and transportation equipment to high skyscrapers. One of the main problems that associated with metals is ...
(CNN) — While some teams continued to find their identity, others put down a marker for what could lie ahead as Week 3 of the 2025 NFL season rolled around. There were breakout performances from ...
These days, Austin, Texas feels like ground zero for autonomous cars. Although California was the early test bed for autonomous driving tech, the much more permissive regulatory environment in the ...
Abstract: Mechanical equipment operating in extreme environments is prone to damage critical components, thus affecting its performance and remaining service life, which leads mechanical equipment ...
Abstract: This paper presents an innovative approach for intelligent fault diagnosis of equipment by integrating Multivariate Variational Modal Decomposition (MVMD) with Symmetric Dot Plot (SDP) to ...
Abstract: Fuzzy support vector machine is a versatile machine learning technique for addressing binary classification and regression challenges. However, it still faces problems related to borderline ...
Abstract: Collaboratively utilizing the complementary information provided by hyperspectral imagery and light detection and ranging (LiDAR) data will extend the applications associated with land cover ...
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