Abstract: Automatic modulation classification (AMC) is becoming increasingly important in spectrum monitoring and cognitive radio. However, most existing modulation classification algorithms neglect ...
This study proposes robust convolutional neural network (CNN)-based automatic modulation classification (AMC) techniques. Traditional AMCs may be classified into two types: those that rely on ML ...
A new holographic storage technique uses light in three dimensions to dramatically increase how much data can be stored. It encodes information throughout a material using amplitude, phase, and ...
CAMBRIDGE, Mass., April 22, 2026 /PRNewswire/ -- Target identification is the first and perhaps most critical step in drug discovery and development. Although the human genome contains roughly 20,000 ...
Researchers developed a holographic data storage approach that stores and retrieves information in three dimensions by combining the amplitude, phase and polarization properties of light.Xiaodi Tan, ...
ABSTRACT: In the field of radiocommunication, modulation type identification is one of the most important characteristics in signal processing. This study aims to implement a modulation recognition ...
The rapid advancement in machine learning techniques and sensing devices over the past decades have opened new possibilities for the detection and tracking of objects, animals, and people. The ...
Abstract: Recent video recognition models utilize Transformer models for long-range spatio-temporal context modeling. Video transformer designs are based on self-attention that can model global ...
Introduction: Using MRI to synthesize CT and substitute its function in radiation therapy has drawn wide research interests. Currently, deep learning models have become the first choice for MRI—CT ...
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