Results 61 to 70 of about 1,261,630 (267)

Optimizing data collection requirements for machine learning models in wild blueberry automation through the application of DALL-E 2

open access: yesSmart Agricultural Technology
This research developed a workflow to assess the viability of AI-generated imagery in training machine learning models for detecting ripe wild blueberries (Vaccinium angustifolium Ait.), hair fescue weeds (Festuca filiformis Pourr.), and red leaf disease
Connor C. Mullins   +3 more
doaj   +1 more source

The shaky ground truth of real-time phase estimation

open access: yesNeuroImage, 2020
Instantaneous phase of brain oscillations in electroencephalography (EEG) is a measure of brain state that is relevant to neuronal processing and modulates evoked responses.
Christoph Zrenner   +5 more
doaj   +1 more source

Stability of matrix factorization for collaborative filtering [PDF]

open access: yes, 2012
We study the stability vis a vis adversarial noise of matrix factorization algorithm for matrix completion. In particular, our results include: (I) we bound the gap between the solution matrix of the factorization method and the ground truth in terms of ...
Wang, Yu-Xiang, Xu, Huan
core  

Cyber-Deception and Attribution in Capture-the-Flag Exercises

open access: yes, 2015
Attributing the culprit of a cyber-attack is widely considered one of the major technical and policy challenges of cyber-security. The lack of ground truth for an individual responsible for a given attack has limited previous studies.
Kulkarni, Nimish   +4 more
core   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

open access: yesMolecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Harnessing Geospatial Artificial Intelligence and Deep Learning for Landslide Inventory Mapping: Advances, Challenges, and Emerging Directions

open access: yesRemote Sensing
Recent advancements in artificial intelligence (AI) and deep learning enable more accurate, scalable, and automated mapping. This paper provides a comprehensive review of the applications of AI, particularly deep learning, in landslide inventory mapping.
Xiao Chen   +4 more
doaj   +1 more source

ATG4B is required for mTORC1‐mediated anabolic activity and is associated with clinical outcomes in non‐small cell lung cancer

open access: yesFEBS Open Bio, EarlyView.
The relationship between anabolic and catabolic processes governing lung cancer cell growth is nuanced. We show that ATG4B, an autophagy regulator, is elevated in lung cancer and that high ATG4B is associated with worse patient outcomes. Targeting ATG4B in cells reduces growth, protein synthesis, and mTORC1 activity, demonstrating a new relationship ...
Patrick J. Ryan   +6 more
wiley   +1 more source

UAS-Based SAR Repeat-Pass Interferometry With Ground Truth

open access: yesIEEE Access
Radar systems operating aboard unmanned aerial systems (UASs) or drones are gaining lot of interest in the remote sensing field. UASs have recently been tested as platforms for synthetic aperture radar (SAR) systems. There are many expectations regarding
Alessandra Beni   +5 more
doaj   +1 more source

ATP13A2 is involved in intracellular polyamine transport in lung epithelial cells

open access: yesFEBS Open Bio, EarlyView.
Spermidine transport in lung epithelial cells involves the polyamine transporter ATP13A2. Cell proliferation is associated with the upregulation of ATP13A2. Polyamines are present in all living cells and are implicated in various crucial cellular processes such as proliferation, apoptosis and autophagy.
Yuta Hatori   +8 more
wiley   +1 more source

Motion robust 4D-MRI sorting based on anatomic feature matching: A digital phantom simulation study

open access: yesRadiation Medicine and Protection, 2020
Purpose: Motion artifacts induced by breathing variations are common in 4D-MRI images. This study aims to reduce the motion artifacts by developing a novel, robust 4D-MRI sorting method based on anatomic feature matching and applicable in both cine and ...
Zi Yang   +4 more
doaj   +1 more source

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