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detection models » prediction models (Expand Search)
decrease » increase (Expand Search)
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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity
Published 2024“…However, questions related to its mechanism of interaction with the substrate, furimazine, as well as bioluminescence activity remain elusive. Here, we combined molecular dynamics (MD) simulation and mutational analysis to show that the R162A mutation results in a decreased but stable <u>bioluminescence </u>activity of NLuc in living cells and in vitro. …”
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Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex
Published 2022“…</p><p dir="ltr">Corrigendum: Decreased interfacial dynamics caused by the N501Y mutation in the SARS-CoV-2 S1 spike:ACE2 complex: Frontiers in Molecular Biosciences: <a href="https://dx.doi.org/10.3389/fmolb.2022.1018464" rel="noreferrer" target="_blank">https://dx.doi.org/10.3389/fmolb.2022.1018464</a>, published online 19 October 2022.…”
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Detection of statistically significant network changes in complex biological networks
Published 2017“…</p><h3>Conclusions</h3><p dir="ltr">We show that our network differencing procedure can effectively and efficiently detect statistical significant network re-wirings in different conditions. …”
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The Anti-Tumor Agent Sodium Selenate Decreases Methylated PP2A, Increases GSK3βY216 Phosphorylation, Including Tau Disease Epitopes and Reduces Neuronal Excitability in SHSY-5Y Neu...
Published 2019“…Somewhat surprisingly, the catalytically active form, methylated PP2A (mePP2A) was significantly decreased. In close correlation to these data, the phosphorylation state of two substrate proteins, sensitive to PP2A activity, GSK3β and Tau were found to be increased. …”
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Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells
Published 2019“…Among the tested molecules, LY411575, a potent γ-secretase and Notch signaling inhibitor, exhibited significant inhibitory effects on osteoblastic differentiation of hBMSCs manifested by reduced ALP activity, mineralized matrix formation, and decreased osteoblast-specific gene expression as well as in vivo ectopic bone formation. …”
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Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection
Published 2024“…These attacks can be detected using both traditional and modern AI-based models. …”
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How effective are synthetic attack models to detect real-world energy theft?
Published 2025“…However, available datasets lack annotated real anomalies, which poses significant challenges in developing effective detection systems. …”
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Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization
Published 2024“…Our method utilizes innovative model ensemble techniques—non-maximum suppression (NMS), Soft-NMS, and weighted bounding box fusion (WBF)—to combine predictions from state-of-the-art object detection models. …”
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Cyberbullying Detection Model for Arabic Text Using Deep Learning
Published 2023“…The proposed hybrid model improves the accuracy of all the studied datasets and can be integrated into different social media sites to automatically detect cyberbullying from Arabic social datasets. …”
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Cyberbullying Detection Model for Arabic Text Using Deep Learning
Published 2023“…The proposed hybrid model improves the accuracy of all the studied datasets and can be integrated into different social media sites to automatically detect cyberbullying from Arabic social datasets. …”
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Soiling Detection on Solar Panels Using Artificial Intelligence
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Dynamic model scaling based on segmented tumor size for breast cancer detection
Published 2025“…The segmentation model, trained on a specialized dataset of breast cancer regions, identifies tumor regions in testing images from breast cancer detection datasets. …”
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Anomaly Detection on Smart Grids With Optimized Convolutional Long Short-Term Memory Model
Published 2025“…The evaluated machine learning models include traditional shallow detectors, deep learning-based detectors, and hybrid models that employ both horizontal and vertical detection strategies. …”