Autonomous vehicles (AVs) represent a transformative advancement in transportation
technology, promising to enhance travel efficiency, reduce traffic accidents, and …

Radars and lidars are two primary sensor modalities complementing optical cameras in
active safety and autonomous driving applications. Radars and lidars operate at …

In this paper, a printed low‐profile antenna with frequency and pattern reconfigurable
functionality is designed in three modes. Each mode operates at different frequency bands …

Road accident data includes detailed information about incidents that occurred, such as
where they happened, the severity of the accident, and the number of people on the road at …

Abstract Intelligent Transportation Systems (ITS) are gaining momentum due to the
advantages it possesses in congestion-free traffic, reduced probability of accidents, and …

Develo** a robust artificial intelligence of things (AIoT) system with a self‐powered
triboelectric sensor for harsh environment is challenging because environmental fluctuations …

In this paper, the design and experimental evaluation of a hexagonalshaped coplanar
waveguide (CPW)-feed frequency reconfigurable antenna is presented using flame …

This work proposes a low-profile, printed antenna that offers pattern and frequency
reconfiguration functionalities printed on FR-4 substrate with a size of 46× 32× 1.6 mm3. The …

Radar point clouds will experience variations in density, which may cause incorrect alerts
during clustering. In turn, it will diminish the precision of the decision-level fusion method. To …

The stock market prices are dynamic, thus remaining a major challenge in forecasting future
stock trends. The Competitive Feedback Particle Swarm Optimization-based Deep …