Results 151 to 160 of about 607,431 (276)

Study of anomaly registration detection based on multilayer kernel autoencoder extreme learning machine model. [PDF]

Sci Rep
Gu Z, Guo L, Huang J, Xiao D, Ke Y, Zhang Y.   +5 more
europepmc   +1 more source

GloPath: An Entity‐Centric Foundation Model for Glomerular Lesion Assessment and Clinicopathological Insights

Advanced Science, EarlyView.
An entity‐centric foundation model, GloPath, is introduced for comprehensive glomerular lesion assessment from routine renal biopsy images. Trained on over one million glomeruli, the framework enables robust lesion recognition, grading, and cross modality diag nosis, while uncovering large‐scale clinicopathological associations.
Qiming He, Jing Li, Tian Guan, Yifei Ma, Zimo Zhao, Yanxia Wang, Hongjing Chen, Yingming Xu, Shuang Ge, Yexing Zhang, Yizhi Wang, Xinrui Chen, Lianghui Zhu, Yiqing Liu, Qingxia Hou, Shuyan Zhao, Xiaoqin Wang, Lili Ma, Peizhen Hu, Qiang Huang, Zihan Wang, Zhiyuan Shen, Junru Cheng, Siqi Zeng, Jiurun Chen, Zhen Song, Chao He, Zhe Wang, Yonghong He   +28 more
wiley   +1 more source

Comprehensive evaluation and clinical implications of kernel extreme learning machine long short term memory transformer framework. [PDF]

Am J Transl Res
Zheng W, Pan Y, Wang Y, Zhu L.
europepmc   +1 more source

Plant Genetic Engineering: Technological Pathways, Application Scenarios, and Future Directions

Advanced Science, EarlyView.
This review maps the fast‐evolving landscape of plant genetic engineering, linking enabling platforms with trait‐focused applications in architecture optimization, stress resilience, yield improvement, and quality enhancement. It highlights how genome editing, transgenic strategies, and emerging multi‐gene approaches reshape breeding pipelines, while ...
Peilin Wang, Wenzhi Wang, Dongjiao Wang, Qibin Wu, Youxiong Que   +4 more
wiley   +1 more source

M-estimation activation functions for high-performance extreme learning machine ensemble classification. [PDF]

Sci Rep
Alimi F, Khan A, Ali H, Bouzidi M, Alshammari AO, Ahmad B.   +5 more
europepmc   +1 more source

A Bioinspired Three‐Dimensional High‐Curvature Nano‐Interface Integrated Microfluidic Chip for Small Extracellular Vesicles Enrichment and Machine Learning‐Assisted Prostate Cancer Precision Diagnosis

Advanced Science, EarlyView.
A biotin‐modified artificial insertion peptide functionalized three‐dimensional high‐curvature‐TiO2 nano‐interface was engineered in a microfluidic chip to improve the isolation efficiency of small extracellular vesicles (sEVs). This chip balanced affinity, releasability, and extendibility, enabling high‐throughput recovery of sEVs for downstream ...
Le Wang, Yizhong Liang, Manan Sulaiman, Jiaqi Du, Ming Jiang, Zhihua Wang, Xu Yu, Li Xu   +7 more
wiley   +1 more source

A prediction model for microseismic signals based on kernel extreme learning machine optimized by Harris Hawks algorithm. [PDF]

Sci Rep
Zhu W, Bian Y, Lin D, Liu L, Chen H, Liang G.   +5 more
europepmc   +1 more source

Retraction: Cerebral microbleed detection via convolutional neural network and extreme learning machine. [PDF]

Front Comput Neurosci, 2023
Frontiers Editorial Office.
europepmc   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Physics-informed extreme learning machine (PIELM) for consolidation around an expanded cylindrical cavity. [PDF]

PLoS One
Pang CQ, Zhang ZH, Chen SH, Yue HY, Zhang Y.   +4 more
europepmc   +1 more source