Results 131 to 140 of about 2,841,275 (318)

Development of a Mobile-Based Application for Classifying Caladium Plants Using the CNN Algorithm

JOIN: Jurnal Online Informatika
Caladium is a popular ornamental plant and has business potential. However, difficulties in recognizing the type of Caladium often occur because of the similarities in shape, pattern, and color of the leaves between the different kinds of Caladium.
Rudy Chandra, Tegar Arifin Prasetyo, Heni Ernita Lumbangaol, Veny Siahaan, Johan Immanuel Sianipar   +4 more
doaj   +1 more source

Intelligent Stain‐Free Histology on Structural Colorimetric Nanocavities

Advanced Science, EarlyView.
Chen and Gan et al. introduce a label‐free imaging platform using inexpensive Nanocavity‐on‐Silicon (NOS) slides. These slides transform subtle tissue variations into vivid structural colors, enabling high‐contrast histological imaging under a regular optical microscope. This stain‐free approach reveals morphological details comparable to traditional H&
Qizhe Chen, Yifei Ren, Lijie Hu, Yanyan Li, Wenyue Liang, Jin Wang, Han Gao, Xinhai Wang, Jiajun Li, Qiutao He, Yingfeng Zhu, Haifeng Hu, Qiwen Zhan, Imed Gallouzi, Jasmeen Merzaban, Di Wang, Zunguo Du, Xiaodong Gu, Qiaoqiang Gan   +18 more
wiley   +1 more source

Paradigms in Management [PDF]

The paper laments the current confusion in business science with regard to its epistemology. Any scientific discipline needs a firm structural basis, otherwise research is unfocused and flawed.
Matthias Huehn
core  

Recent Advances in Decoupling Strategies for Soft Sensors

Advanced Science, EarlyView.
This review provides an overview of recent advances in decoupling strategies for soft sensors. It summarizes single‐modal sensors that are insensitive to stretching, bending, crosstalk, and other environmental interferences, and highlights emerging multimodal decoupling methods enabled by spatiotemporal information and machine learning.
Yangbo Yuan, Wanqing Zhang, Jia‐Yu Yang, Manqi Peng, Huanyu Cheng   +4 more
wiley   +1 more source

Comparative Assessment of Several Effective Machine Learning Classification Methods for Maternal Health Risk

Computational Journal of Mathematical and Statistical Sciences
By analyzing maternal age, heart rate, blood oxygen level, blood pressure, and body temperature, it has the potential to evaluate the risk complexity for certain patients. Early identification and classification of risk variables can successfully prevent
Md Nurul Raihen, Sultana Akter
doaj   +1 more source

Setting nutrient boundaries to protect aquatic communities: The importance of comparing observed and predicted classifications using measures derived from a confusion matrix.

Science of the Total Environment, 2023
Geoff Phillips, Heliana Teixeira, Martyn G. Kelly, F. S. Herrero, Gábor Várbíró, A. Solheim, Agnieszka Kolada, Gary Free, S. Poikane   +8 more
semanticscholar   +1 more source

Highly Secure In Vivo DNA Data Storage Driven by Genomic Dynamics

Advanced Science, EarlyView.
Integrated computational‐biological programming enables secure in vivo data storage by generating code tables from either genomes or gene regulatory networks, expanding the encryption key space by over 100 orders of magnitude. Storing code tables within synthetic genes, genomes, or gene regulatory networks adds an additional layer of security by ...
Jiaxin Xu, Yu Wang, Haibo Zhou, Mingen Li, Yang Wang, Lingwei Wang, Hui Mei, Junbiao Dai, Shanze Chen, Xiaoluo Huang   +9 more
wiley   +1 more source

Confusion Matrix in Three-class Classification Problems: A Step-by-Step Tutorial

Journal of Engineering Research, 2023
Mahmoud Fahmy Amin
semanticscholar   +1 more source

A Deep Representation Learning Method for Quantitative Immune Defense Function Evaluation and Its Clinical Applications

Advanced Science, EarlyView.
ImmuDef, a novel algorithm to quantitatively evaluate the anti‐infection immune defense function of an individual based on RNA‐seq data via a variational autoencoder (VAE) model. It is validated on 3200+ samples across four immune states with high accuracy. It can serve as a metric for disease severity and prognosis across pathogenic cohorts.
Zhen‐Lin Tan, Tao Luo, Yu Lin, Xiao‐Jun Wu, Wen‐Kang Shen, Jie Chen, Qian Lei, An‐Yuan Guo   +7 more
wiley   +1 more source

UniMR: A Plug‐and‐Play Framework of Automated Molecular Recognition for Scanning Tunneling Microscopy

Advanced Science, EarlyView.
UniMR, a training‐free framework for automated molecular recognition in STM images. By integrating adaptive feature selection with CLIP embeddings and Gaussian Mixture Modeling, UniMR achieves robust performance across diverse molecular systems and low‐resolution conditions.
Ziqiang Cao, Lingyin Zhang, Bingzheng Wu, Haonan Chen, Junhao Sun, Linghao Yan, Wenfei Li, Yangyang Wu, Zhifang Wang, Qigang Zhong, Lifeng Chi   +10 more
wiley   +1 more source