Results 11 to 20 of about 638,433 (245)

Advances in Drift Mitigation and Integrated Precision Spraying Technologies

Applied Sciences
Agricultural spraying has evolved from conventional passive drift mitigation toward active, intelligent precision management. This review synthesizes advancements in agricultural precision spraying, evaluating both established passive drift-reduction ...
Rui Ye, Jialin Wang, Zhihao Kong, Mingxiong Ou   +3 more
doaj   +2 more sources

Learning Mitigates Genetic Drift [PDF]

Scientific Reports, 2020
Abstract Genetic drift is a basic evolutionary principle describing random changes in allelic frequencies, with far-reaching consequences in various topics ranging from species conservation efforts to speciation. The conventional approach assumes that genetic drift has the same effect on all populations undergoing the same change in ...
Peter Lenart, Julie Bienertová-Vašků, Luděk Berec   +2 more
openaire   +3 more sources

Impact of PCM resistance-drift in neuromorphic systems and drift-mitigation strategy [PDF]

2013 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), 2013
Neuromorphic architectures that exploit emerging resistive memory devices as synapses are currently receiving a lot of interest. Phase Change Memory (PCM), in particular, is a strong candidate for such architectures. However, it suffers from a resistance-drift effect in the amorphous phase (high-resistance).
Suri, Manan, Garbin, Daniele, Bichler, Olivier, Querlioz, Damien, Vuillaume, Dominique, Gamrat, Christian, Desalvo, Barbara   +6 more
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Mitigating Concept Drift via Rejection [PDF]

, 2018
Learning in non-stationary environments is challenging, because under such conditions the common assumption of independent and identically distributed data does not hold; when concept drift is present it necessitates continuous system updates. In recent years, several powerful approaches have been proposed.
Göpfert, Jan Philip, Hammer, Barbara, Wersing, Heiko, Kurkova, Vera, Manolopoulos, Yannis, Hammer, Barbara, Iliadis, Lazaros, Maglogiannis, Ilias   +7 more
openaire   +1 more source

Mean drift forces on arrays of bodies due to incident long waves [PDF]

, 1986
The scattering of long water waves by an array of bodies is investigated using the method of matched asymptotic expansions. Two particular geometries are considered, these are a group of vertical cylinders extending throughout the depth and a group of ...
McIver, P
core   +6 more sources

Uncovering Drift in Textual Data: An Unsupervised Method for Detecting and Mitigating Drift in Machine Learning Models

CoRR, 2023
Drift in machine learning refers to the phenomenon where the statistical properties of data or context, in which the model operates, change over time leading to a decrease in its performance. Therefore, maintaining a constant monitoring process for machine learning model performance is crucial in order to proactively prevent any potential performance ...
Saeed Khaki, Akhouri Abhinav Aditya, Zohar S. Karnin, Lan Ma, Olivia Pan, Samarth Marudheri Chandrashekar   +5 more
openaire   +2 more sources

A comparison of runoff- and spray-drift-related pesticide contamination in agricultural surface waters : exposure, effects and mitigation [PDF]

, 2004
Includes bibliographical references.Runoff and spray-drift-related pesticide input are important sources of non pointsource pesticide pollution in surface waters but few studies have directly compared these routes in a risk assessment scenario ...
Dabrowski, James Michael
core   +1 more source

Do Arctic waders use adaptive wind drift? [PDF]

, 2004
We analysed five data sets of flight directions of migrating arctic waders in relation to winds, recorded by tracking radar and optical range finder, in order to find out if these birds compensate for wind drift, or allow themselves to be drifted by ...
Hedenström, Anders,, Alerstam, T, Green, M, Thomas Alerstam, Alerstam, Thomas, Gudmundsson, Gudmundur A.,, Piersma, T; id_orcid, Green, Martin, Hedenström, Anders, Gudmundsson, Gudmundur A., Alerstam, Thomas,, Martin Green, Piersma, T, Theunis Piersma, Piersma, Theunis,, Gudmundsson, G A, Hedenstrom, A, Gudmundsson, GA, Anders Hedenström, Gudmundur A. Gudmundsson, Green, Martin,   +20 more
core   +2 more sources

Drift Observations and Mitigation in LCLS-II RF

, 2023
Talk presented at LLRF Workshop 2023 (LLRF2023, arXiv: 2310.03199)
Doolittle, L., Murthy, S. D., Benwell, A., Chabot, D., Chen, J., Hong, B., Hoobler, S., Nelson, J., Xu, C.   +8 more
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Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent

Advances in Neural Information Processing Systems 36, 2023
Imperfect score-matching leads to a shift between the training and the sampling distribution of diffusion models. Due to the recursive nature of the generation process, errors in previous steps yield sampling iterates that drift away from the training distribution. Yet, the standard training objective via Denoising Score Matching (DSM) is only designed
Giannis Daras, Yuval Dagan, Alexandros G. Dimakis, Constantinos Daskalakis   +3 more
openaire   +4 more sources