Abstract: The prediction of received signal strength (RSS) is essential for reliable coverage and efficient resource allocation in wireless networks. However, existing machine learning (ML)-based ...
An internationally recognized research leader in computational intelligence, machine learning, data fusion and signal ...
Wearable health sensors such as photoplethysmography (PPG) wristbands, ECG patches and multi-modal biometric devices are typically developed and calibrated under controlled laboratory conditions.
The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
An international research consortium announced on June 29 that it has experimentally confirmed two previously unknown superconductors — the first materials ever identified from scratch by a ...
Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...
Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...
France’s Safran.AI and Hemeria signed an MOU at Eurosatory 2026 to embed onboard machine learning in stratospheric balloons ...
Code Metal, the company that accelerates the path from code to metal with provable AI, today announced its acquisition of ...
Abstract: Radar signal recognition (RSR) plays a pivotal role in electronic warfare (EW), as accurately classifying radar signals is critical for informing decision-making. Recent advances in deep ...
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