On June 15, 2026, Circular Action Alliance (CAA) submitted its inaugural Program Plan to California’s Packaging Producer Responsibility ...

New Akida platform identifies radio-frequency signals in real time while using sub-watt power.

Autoimmune and autoinflammatory diseases have traditionally been interpreted as disorders arising from dysregulation of adaptive or innate immune responses, ...

Abstract: Automatic modulation classification (AMC), which aims to blindly identify the modulation type of an incoming signal at the receiver in wireless communication systems, is a fundamental signal ...

Abstract: With the evolutionary development of modern communications technology, automatic modulation classification (AMC) has played an increasing role in the complex wireless communication ...

Mod-CL is a self-supervised contrastive learning framework for automatic modulation classification (AMC). The key idea is to exploit intra-instance modulation consistency: different temporal segments ...

Transient receptor potential mucolipin 1 (TRPML1) functions as a lysosomal ion channel whose variants are associated with lysosomal storage disorder mucolipidosis type IV. This important report ...

Wireless Internet of Things (IoT) is widely accepted in data collection and transmission of power system, with the prerequisite that the base station of wireless IoT be compatible with a variety of ...

This paper mainly studies the data characteristics of high order cumulants using digitally modulated signals, and constructs the identification feature parameters that can distinguish the signal ...

In this paper, a classification method based on Support Vector Machine (SVM) is given in the digital modulation signal classification. The second, fourth and sixth order cumulants of the received ...