Results 241 to 250 of about 98,529 (315)

AI-enabled drones for date palm pollination. [PDF]

Sci Rep
AlRaeesi I, El-Khazali R.
europepmc   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Evaluating Environmental and Crop Factors Affecting Drone-Mounted GPR Performance in Agricultural Fields. [PDF]

Sensors (Basel)
Vahidi M, Shafian S.
europepmc   +1 more source

Comparative evaluation of sperm parameters in Italian (<i>Apis mellifera ligustica</i>) and Africanized (<i>Apis mellifera</i>) honeybee drones from the Caatinga biome. [PDF]

Anim Reprod
Dantas LL, da Silva AM, da Silva LA, Brito PAP, Matos YG, Santos RP, Gramacho KP, Silva AR.   +7 more
europepmc   +1 more source

Acoustic Source Drone Detection System Using Tetrahedral Microphone Array and Deep Neural Networks. [PDF]

Sensors (Basel)
Ghenescu MT, Ghenescu V, Carata SV.
europepmc   +1 more source

All eyes, no IMU: learning flight attitude from vision alone. [PDF]

Npj Robot
Hagenaars JJ, Stroobants S, Bohté SM, de Croon GCHE.   +3 more
europepmc   +1 more source

A Time-Synchronized Multi-Sensor drone dataset acquired from multiple radars and RF receiver. [PDF]

Sci Data
Han SK, Jung YH.
europepmc   +1 more source

An Adaptive Super-Resolution Network for Drone Ship Images. [PDF]

Entropy (Basel)
Li H, Xiong W, Cui Y, Yao L.
europepmc   +1 more source