Results 91 to 100 of about 338,614 (301)

Soft Sensing of Silicon Content via Bagging Local Semi-Supervised Models

Sensors, 2019
The silicon content in industrial blast furnaces is difficult to measure directly online. Traditional soft sensors do not efficiently utilize useful information hidden in process variables.
Xing He, Jun Ji, Kaixin Liu, Zengliang Gao, Yi Liu   +4 more
doaj   +1 more source

Smart REASSURED Sensors via Machine‐Augmented Printable On‐Paper Arrays

Advanced Sensor Research, EarlyView.
This perspective highlights the emerging role of pattern‐recognition, printable on‐paper sensor arrays for intelligent PoC diagnostics. It discusses how paper's inherent limitations can be overcome through surface modification and scalable printing, and how machine‐learning analysis of cross‐reactive arrays enables multiplexed, low‐cost, and REASSURED ...
Naimeh Naseri, Saba Ranjbar
wiley   +1 more source

Semi-Supervised Learning in Medical Images Through Graph-Embedded Random Forest [PDF]

, 2020
Lin Gu, Xiaowei Zhang, Shaodi You, Shen Zhao, Zhenzhong Liu, Tatsuya Harada   +5 more
openalex   +1 more source

Semi-supervised learning

, 2017
Semi-supervised learning deals with the problem of how, if possible, to take advantage of a huge amount of not classified data, to perform classification, in situations when, typically, the labelled data are few. Even though this is not always possible (it depends on how useful is to know the distribution of the unlabelled data in the inference of the ...
Cholaquidis, Alejandro, Fraiman, Ricardo, Sued, Mariela   +2 more
openaire   +2 more sources

Challenges and Future Directions in Assessing the Quality and Completeness of Advanced Materials Safety Data for Re‐Usability: A Position Paper From the Nanosafety Community

Advanced Sustainable Systems, EarlyView.
Nanosafety data provide a guiding example for establishing best practices in data management, aligning with FAIR principles and quality criteria. This review explores existing quality assessment approaches for reliability, relevance, and completeness, emphasizing the need for harmonization and adaptation to nanomaterials and advanced materials. The aim
Verónica I. Dumit, Irini Furxhi, Penny Nymark, Antreas Afantitis, Ammar Ammar, Monica J. B. Amorim, Dalila Antunes, Svetlana Avramova, Chiara L. Battistelli, Gianpietro Basei, Cecilia Bossa, Emil Cimpan, Mihaela Roxana Cimpan, Dmitri Ciornii, Anna Costa, Camilla Delpivo, Maria Dusinska, Ana Sofia Fonseca, Steffi Friedrichs, Vasile‐Dan Hodoroaba, Danail Hristozov, Panagiotis Isigonis, Nina Jeliazkova, Nikolay Kochev, Eva Kranjc, Dieter Maier, Georgia Melagraki, Anastasios G. Papadiamantis, Tomasz Puzyn, Hubert Rauscher, Katie Reilly, Araceli Sánchez Jiménez, Janeck J. Scott‐Fordsmand, Neeraj Shandilya, Hyun Kil Shin, Gergana Tancheva, Jeaphianne P. M. van Rijn, Egon L. Willighagen, Ewelina Wyrzykowska, Martine I. Bakker, Damjana Drobne, Thomas E. Exner, Martin Himly, Iseult Lynch   +43 more
wiley   +1 more source

Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data [PDF]

, 2023
Pramit Saha, Divyanshu Mishra, J. Alison Noble   +2 more
openalex   +1 more source

Single‐Cell Dissection Reveals Immune Dysregulation After CD5 or CD7‐Directed Chimeric Antigen Receptor T‐Cell Therapy

Advanced Science, EarlyView.
Single‐cell RNA/TCR/BCR sequencing reveals that 5CAR therapy in T‐ALL induces T‐cell exhaustion, reduces EBV‐associated TCRs, lowers TCR/BCR diversity, and increases NK/DC/monocyte activation and function. In contrast, 7CAR therapy reduces multiple pathogen‐associated TCRs, enhances NK cell activation and function, decreases monocyte activation, and ...
Yuechen Luo, Haixiao Zhang, Kaiting Tang, Yiming Wang, Huajiang Dong, Wei Qi, Lingling Shan, Yue Tan, Liping Zhao, Jun Shi, Erlie Jiang, Jing Pan, Xiaoming Feng   +12 more
wiley   +1 more source

Stretchable Curvature Sensors for Motion Capture with Bending‐Stretching Coupling Deformation

Advanced Science, EarlyView.
Stretchable curvature sensors based on a wavy symmetric stacked‐layer structure (WSSLS) enable decoupled bending‐stretching detection with high linearity, repeatability, and durability. Integrated into smart gloves, the sensors achieved precise motion capture and human‐robot interaction, with slip‐simulation tests demonstrating a remarkable 93.6 ...
Tairan Wang, Xinkai Xu, Shuang Li, Yuqun Lan, Kai Chen, Wei Li, Guangyuan Wang, Kuai Yu, Lijuan Sun, Yewang Su   +9 more
wiley   +1 more source

The Effectiveness of Semi-Supervised Learning Techniques in Identifying Calcifications in X-ray Mammography and the Impact of Different Classification Probabilities

Applied Sciences
Identifying calcifications in mammograms is crucial for early breast cancer detection, and semi-supervised learning, which utilizes a small dataset for supervised learning combined with deep learning, is anticipated to be an effective approach for ...
Miu Sakaida, Takaaki Yoshimura, Minghui Tang, Shota Ichikawa, Hiroyuki Sugimori, Kenji Hirata, Kohsuke Kudo   +6 more
doaj   +1 more source

Aberrant Splicing Signatures Underpin Oligodendrocyte Damage in ALS and Neuron Loss in FTD

Advanced Science, EarlyView.
Integrating bulk and single‐nucleus RNA‐seq from ALS and FTD patients, we revealed distinct cellular dysfunctions, with severe oligodendrocyte damage in ALS and pronounced neuron loss in FTD. We identified cell‐type‐specific aberrant splicing events as potential biomarkers with robust classification performance, some of which produce de novo peptides ...
Chen Du, Yinming Li, Rong Wu, Yufei Shen, Jiayi Yang, Xuan Xiao, Yu Zhou   +6 more
wiley   +1 more source