Results 211 to 220 of about 2,065,553 (347)

The Return of Pseudosciences in Artificial Intelligence: Have Machine Learning and Deep Learning Forgotten Lessons from Statistics and History? [PDF]

Jérémie Sublime
openalex   +1 more source

Soft Bioelectronic Interfaces for Continuous Peripheral Neural Signal Recording and Robust Cross‐Subject Decoding

Advanced Science, EarlyView.
A soft poly (3,4‐ethylenedioxythiophene):poly (styrenesulfonate)‐based electrode enables continuous, high‐quality recording of peripheral nerve activity. A neural network model integrating handcrafted and convolutional neural network‐based features decodes whisker movements with strong generalization, offering insights into peripheral nerve function ...
Liangpeng Chen, Yang Liu, Yewei Huang, Ziyang Li, Chao Zhang, Jun Tang, Xueyuan Ling, Bowen Cao, Baowang Li, Yuan Zhang, Wenjianlong Zhou, Qin Xu, Shunchang Ma, Xiudong Guan, Dan Xiao, Jingyao Geng, Yutong Zhao, Guolin Li, Yi‐xuan Wang, Wang Jia, Yuanwen Jiang, Milin Zhang, Deling Li   +22 more
wiley   +1 more source

Predicting clinical trial duration via statistical and machine learning models. [PDF]

Contemp Clin Trials Commun
Cho J, Xu Q, Wong CH, Lo AW.
europepmc   +1 more source

Advancements in Bio‐Integrated Flexible Electronics for Hemodynamic Monitoring in Cardiovascular Healthcare

Advanced Science, EarlyView.
This review explores the cutting‐edge development of bio‐integrated flexible electronics for real‐time hemodynamic monitoring in cardiovascular healthcare. It covers key physiological indicators, innovative sensing mechanisms, and materials considerations. This paper highlights the application of both invasive and non‐invasive devices in cardiovascular
Ke Huang, Zhiqiang Ma, Bee Luan Khoo
wiley   +1 more source

Enhancing ERα-targeted compound efficacy in breast cancer threapy with ExplainableAI and GeneticAlgorithm. [PDF]

PLoS One
Pun Z, Xue Q, Zhang Y.
europepmc   +1 more source

Large-Scale Machine Learning with Stochastic Gradient Descent

International Conference on Computational Statistics, 2010
L. Bottou
semanticscholar   +1 more source

Inverse Design of Highly Deformable Mechanical Metamaterial Based on Partitional Semi‐Random Optimization

Advanced Science, EarlyView.
This research presents a novel optimization method for the inverse design of flexible mechanical metamaterials, enhancing traditional strategies by evaluating deformation in subregions. Combining simulated annealing with a genetic algorithm, it improves design efficiency and enables customizable deformation paths.
Xueqing Cao, Zeang Zhao, Panding Wang, Shengyu Duan, Hongshuai Lei   +4 more
wiley   +1 more source

Automatic diagnosis of extraocular muscle palsy based on machine learning and diplopia images. [PDF]

Int J Ophthalmol
Jin XL, Li XM, Liu TJ, Zhou LY.
europepmc   +1 more source

Unveiling Multi‐Scale Architectural Features in Single‐Cell Hi‐C Data Using scCAFE

Advanced Science, EarlyView.
scCAFE is a deep learning framework designed to identify multi‐scale 3D genome architectural features from single‐cell Hi‐C data without dense imputation. It predicts chromatin loops, TAD‐like domains, and A/B compartments, enabling efficient characterization of organization at the single‐cell level. scCAFE also identifies marker loop anchors, offering
Fuzhou Wang, Jiecong Lin, Hamid Alinejad‐Rokny, Wenjing Ma, Lingkuan Meng, Lei Huang, Jixiang Yu, Nanjun Chen, Yuchen Wang, Zhongyu Yao, Weidun Xie, Ka‐Chun Wong, Xiangtao Li   +12 more
wiley   +1 more source

Machine learning model optimization for compressional sonic log prediction using well logs in Shahd SE field, Western Desert, Egypt. [PDF]

Sci Rep
Saleh K, Mabrouk WM, Metwally A.
europepmc   +1 more source