Results 61 to 70 of about 4,138,925 (262)
Weed Identification Using Deep Learning and Image Processing in Vegetable Plantation
IEEE Access, 2021 Weed identification in vegetable plantation is more challenging than crop weed identification due to their random plant spacing. So far, little work has been found on identifying weeds in vegetable plantation.
Xiaojun Jin, Jun Che, Yong Chen
doaj +1 more source
FEBS Letters, EarlyView.Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell +2 more
wiley +1 more source
Foggy Drone Teacher: Domain Adaptive Drone Detection Under Foggy Conditions
DronesWith the growing use of drones, efficient detection algorithms are crucial, especially under adverse weather conditions. Most existing drone detection algorithms perform well only in clear weather, resulting in significant performance drops in foggy ...
Guida Zheng +5 more
doaj +1 more source
Dense symmetric temporal alignment learning for human pose estimation [PDF]
PeerJ Computer ScienceHuman pose estimation aims to locate the human joint positions from images or videos. This problem has drawn increasing attention and wide applications in autonomous driving, motion analysis, and intelligence robotics.
Guang Xv, Xingchen Wu
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Towards Meta-learning over Data Streams [PDF]
, 2014 Modern society produces vast streams of data. Many stream mining algorithms have been developed to capture general trends in these streams, and make predictions for future observations, but relatively little is known about which algorithms perform ...
Pfahringer, Bernhard +3 more
core
The RITAS algorithm: a constructive yield monitor data processing algorithm [PDF]
, 2020 Yield monitor datasets are known to contain a high percentage of unreliable records. The current tool set is mostly limited to observation cleaning procedures based on heuristic or empirically-motivated statistical rules for extreme value identification ...
Damiano, Luis
core +1 more source
The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation
FEBS Letters, EarlyView.Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge +6 more
wiley +1 more source
Algorithm-dependent parameters of the comparison algorithms.
, 2016 Algorithm-dependent parameters of the comparison algorithms.
Lina Zhang (112887) +3 more
core +1 more source
Prospecting the protein design landscape
FEBS Letters, EarlyView.This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona +4 more
wiley +1 more source
A Knowledge Representation and Reasoning System for Multimodal Neuroimaging Studies
Inteligencia Artificial, 2017 Multimodal neuroimaging analyses are of major interest for both research and clinical practice, enabling the combined evaluation of the structure and function of the human brain. These analyses generate large volumes of data and consequently increase the
Ana Coelho +5 more
doaj +1 more source