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23071 |
Yes-associated protein (YAP) in pancreatic cancer: at the epicenter of a targetable signaling network associated with patient survival
Enthalten in Signal transduction and targeted therapy Bd. 3, 20.4.2018, Nr. 1, date:12.2018: 1-10
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23072 |
YKL-40/CHI3L1 facilitates migration and invasion in HER2 overexpressing breast epithelial progenitor cells and generates a niche for capillary-like network formation
Enthalten in In vitro cellular & developmental biology / Animal Bd. 55, 3.9.2019, Nr. 10, date:12.2019: 838-853
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23073 |
YOLO-FORGERY: Forgery Detection in images via Deep Clifford gradient-based YOLOv4 Network
Enthalten in Signal, image and video processing Bd. 18, 19.1.2024, Nr. 3, date:4.2024: 2095-2103
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23074 |
Young Men’s Social Network Characteristics and Associations with Sexual Partnership Concurrency in Tanzania
Enthalten in Aids and behavior Bd. 20, 14.8.2015, Nr. 6, date:6.2016: 1244-1255
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23075 |
YSegNet: a novel deep learning network for kidney segmentation in 2D ultrasound images
Enthalten in Neural computing & applications Bd. 34, 25.8.2022, Nr. 24, date:12.2022: 22405-22416
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23076 |
Zenith tropospheric delay model in mainland China based on geographically convolutional neural network weighted regression and tensor spline function
Enthalten in GPS solutions Bd. 28, 25.9.2024, Nr. 4, date:10.2024: 1-17
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23077 |
Zero-lag chaos synchronization properties in a hierarchical tree-type network consisting of mutually coupled semiconductor lasers
Enthalten in Nonlinear dynamics Bd. 99, 23.1.2020, Nr. 4, date:3.2020: 2893-2906
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23078 |
Zero singularity of codimension two or three in a four-neuron BAM neural network model with multiple delays
Enthalten in Nonlinear dynamics Bd. 77, 6.5.2014, Nr. 4, date:9.2014: 1783-1794
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23079 |
ZeSAI: AI vigilant malware detection in email security with zero shot-based hybrid network and threat intelligence integration
Enthalten in Journal of combinatorial optimization Bd. 49, 25.5.2025, Nr. 5, date:7.2025: 1-45
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23080 |
Zinc oxide thin-film chemical sensors in conjunction with neural network pattern recognition for trimethylamine and dimethylamine gases
Enthalten in Journal of materials science Bd. 29, 12.9.2004, Nr. 24, date:12.1994: 6529-6532
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