Results 261 to 270 of about 2,007,432 (328)

Machine Learning‐Enhanced Analysis of Exosomal Surface Sialic Acid Using Surface‐Enhanced Raman Spectroscopy for Ovarian Cancer Diagnosis and Therapeutic Monitoring

Advanced Science, EarlyView.
Machine learning‐assisted surface‐enhanced Raman spectroscopy analysis of exosomal sialic acid for ovarian cancer diagnosis, as well as independent monitoring of exosomal sialic acid expression levels across different treatment periods, reveals a potential correlation with treatment response.
Lili Cong, Jiaqi Wang, Sijun Huang, Xiaxia Man, Yi Guo, Shuping Xu, Songling Zhang   +6 more
wiley   +1 more source

Deep learning-based disease detection in potato and mango leaves: a comparative study of CNN, AlexNet, ResNet, and EfficientNet. [PDF]

Sci Rep
Mishra U, Pandey A, G L, K T.
europepmc   +1 more source

Confusion [PDF]

, 2008
Brown, Zachary
core   +1 more source

H⁺ Exchange‐Driven ppb‐Level and High‐Selective Formaldehyde Detection at Room Temperature for Environmental and Clinical Applications

Advanced Science, EarlyView.
This article presents an innovative room‐temperature formaldehyde sensor based on H⁺ exchange method, achieving ppb‐level detection limit and exceptional selectivity. The study highlights its practical potential for real‐time environmental monitoring and clinical diagnostic applications.
Lubing Cai, Mengyang Pang, Zhaosong Liu, Yanfei Li, Jiani Li, Zhaorui Zhang, Fengshuang Zheng, Chao Li, Ang Zheng, Xuemin Zhang   +9 more
wiley   +1 more source

The influence of conscientiousness and context on the emotional response during understanding. [PDF]

Front Psychol
Jun J, Lazic M, Woodruff E.
europepmc   +1 more source

Confusion matrix for anomaly detection performance.

Yongyan Zhao (9289466)
openalex   +1 more source

An Intelligent Magneto‐Mechanical Platform for Cellular Sensing in 3D Microenvironments

Advanced Science, EarlyView.
This study presents MagMI, a pioneering machine intelligence‐driven magneto‐mechanical sensing platform. It utilizes magneto‐mechanical arrays and machine learning to achieve label‐free, real‐time monitoring and classification of cellular proliferation dynamics within 3D microenvironments.
Yue Quan, Yuxin Wang, Sen Ding, Bingpu Zhou, Yinning Zhou   +4 more
wiley   +1 more source

Grading for grapevine downy mildew and feature extraction methods for predicting abaxial lesions from adaxial leaf images. [PDF]

Front Plant Sci
Liu B, Li C, Hao J, Song J, Liu H, Yan H, Zhai C.   +6 more
europepmc   +1 more source

The image Illustrated the Confusion Matrix provides a detailed summary of the performance of a naïve Bayes model by presenting the counts of true positives (TP), true negatives (TN), false positives (FP), and false negatives (FN).

Sajid Ullah (8299908), M. Irfan Uddin (8909933), Muhammad Adnan (678952), Ala Abdulsalam Alarood (21526803), Abdulkream Alsulami (21526806), Safa Habibullah (21526809)   +5 more
openalex   +1 more source