Results 151 to 160 of about 12,544 (245)

A joint range-angle-velocity estimation algorithm for FDA-MIMO radar based on graph signal processing. [PDF]

Sci Rep
Li Q, Meng A, Liao K, Xie N, Liao X, Chen H, Ghazali KHB.   +6 more
europepmc   +1 more source

Automated Lawn Maintenance: An Agronomic and Operational Review of Turf Health, Biodiversity, and Field Performance

Journal of Field Robotics, EarlyView.
ABSTRACT Grass mowing is one of the most resource‐consuming activities in green maintenance, whether in private areas such as home gardens or in public spaces like urban parks. In recent years, concerns related to climate change, human health, and sustainability have become increasingly prominent in green maintenance, leading manufacturers and industry
Andrea Palladini, Lorenzo Guerrini, Marco Fontanelli, Lucia Bortolini   +3 more
wiley   +1 more source

Addressing Biases in Ice Jam Observations by Integrating Multi‐Source Data in a Forested Fluvial Landscape, Southern Quebec

River Research and Applications, EarlyView.
ABSTRACT Exhaustive long‐term and large‐scale ice jam records are scarce in most cold river environments. Many discrete events occur in small, sparsely populated river systems and are poorly represented in open‐source databases. These observation biases are transferred to predictive models of ice jams and the collective understanding of their formation
Lisane Arsenault‐Boucher, Étienne Boucher, Rachid Lhissou, Karem Chokmani, Christophe Kinnard   +4 more
wiley   +1 more source

Robust Adaptive Beamforming Algorithm Based on Improved Generalized Linear Combination. [PDF]

Sensors (Basel)
Gao Z, Zuo R, Huang P, Xu W, Tan W, Wu Z.   +5 more
europepmc   +1 more source

Design of a low noise amplier for a X-band phased array radar system in SiGe BiCMOS technology

A LNA is the first active stage of a radio frequency receiver module, with the prevalent goal of minimizing the noise figure of the whole system. This work presents the design of two narrow-band LNA and a wide-band LNA for phased array radar applications.
openaire   +1 more source

Evaluation of low noise and robust amplifier topologies using GaN technology for X-band radar or telecom applications

In order to increase telecommunication data rates and enhance the precision and range of modern radar systems, improving the noise factor of a communication link has become crucial. As demonstrated by the FRIIS formula, the noise factor of a reception architecture is mainly determined by the noise factor of the first stage.
openaire   +1 more source

A Method for Identifying Rainfall‐Runoff Events at Sub‐Hourly Time Scales: Applications for Nature‐Based Solutions and Water Resources

River Research and Applications, EarlyView.
ABSTRACT Understanding how changes in catchment conditions affect ecohydrology in response to rainfall‐runoff events is crucial when developing informed strategies to enhance flow resilience, restore natural habitats, interpret water quality data or reduce flood risk.
Josie Ashe, Daniella Montali‐Ashworth, Alan Puttock, Naomi Gatis, David Luscombe, Kirsty Frith, Pia Benaud, Richard E. Brazier   +7 more
wiley   +1 more source

Harnessing mmWave signals and machine learning for noninvasive taxonomic classification of insects. [PDF]

PNAS Nexus
Antony L, White C, Marchetti N, Donohue I, Stout JC, Narbudowicz A.   +5 more
europepmc   +1 more source

Validation of a Particle Image Velocimetry Algorithm Through Comparative Field and Laboratory Analysis

River Research and Applications, EarlyView.
ABSTRACT Flow velocity measurement is fundamental to hydrological and hydraulic studies, providing essential data for streamflow estimation and river dynamics analysis. Traditional in situ methods like propeller gauges and acoustic Doppler current profilers are accurate but intrusive and labour‐intensive, while non‐intrusive image processing methods ...
Ghazaleh Nassaji Matin, Gareth Bradbury, Alan Puttock, Kirsty Frith, Diego Panici   +4 more
wiley   +1 more source

A Hybrid Millimeter-Wave Radar-Ultrasonic Fusion System for Robust Human Activity Recognition with Attention-Enhanced Deep Learning. [PDF]

Sensors (Basel)
Yao L, Chung KL, Tang L, Ye T, Wang S, Xu P, Bi Y, Wu Y.   +7 more
europepmc   +1 more source