Results 191 to 200 of about 2,019,981 (302)

Bridging accuracy and explainability in AI-ECG: A multi-stage hyperparameter tuning framework for reinforcement learning-based random forests. [PDF]

J Electrocardiol
Daoud K, Ji RQ, Riek NT, Akcakaya M, Sejdic E, Gokhale T, Al-Zaiti S.   +6 more
europepmc   +1 more source

AI‐Powered, Temperature‐Resolved Centrifugal Microfluidics for Rapid 3D Phase‐Diagram Generation of Biomolecular Condensates

Advanced Science, EarlyView.
By merging centrifugal microfluidics, precise temperature control, and AI image recognition, T‐PhaseMap transforms biomolecular condensate phase mapping into a rapid, temperature‐resolved workflow. It generates 3D composition–temperature phase diagrams within 30 min, resolves four phase states, and uncovers temperature‐dependent heparin sodium ...
Jiashuo Li, Pengjie Li, Kaiting Zhang, Yongqi Guo, Peng Chen, Bi‐Feng Liu, Yiwei Li   +6 more
wiley   +1 more source

Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction. [PDF]

IEEE Trans Med Imaging
Yu H, Fessler JA, Jiang Y.
europepmc   +1 more source

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

Advanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia, Siyu Li, Songming Tang, Keju Gu, Shengquan Chen   +4 more
wiley   +1 more source

Hybrid ConvNeXt-Vision Mamba with Hemispheric Difference-Aware Attention and Bioinspired Optimization for Stroke Classification. [PDF]

Biomimetics (Basel)
Ali FBM, Santhi N, Ramasamy N.
europepmc   +1 more source

Molecular Atlas of Key Food Odorants Reveals Mixture‐Level Organization and Enables Generative Aroma Design

Advanced Science, EarlyView.
KFO‐Atlas reveals how real‐world aromas are organized as structured mixtures rather than individual molecules. Building on these principles, KFO‐Gen, a generative AI framework, designs perceptually valid aroma formulations and reconstructs meat‐like aromas exclusively from plant‐derived odorants, providing a foundation for mixture‐level studies and AI ...
Jingzhi Zhang, Huadong Xing, Antonella Di Pizio, Qinfei Ke, Xingran Kou, Dachuan Zhang   +5 more
wiley   +1 more source

scGEN: Leveraging an Adaptive Weighting Strategy for Challenging Cell Clustering in Single‐Cell RNA‐seq

Advanced Science, EarlyView.
scGEN combines attribute–structure encoding, adaptive hard‐sample weighting, and regularized zero‐inflated negative binomial loss to resolve ambiguous single‐cell states. In the developing human pituitary, refined annotations reveal Pre.Gonado cells at 7 weeks and previously obscured developmental communication networks.
Fang Huang, Dayu Hu, Yaqi Dai, Aoyi Geng, Renxiang Guan, Hao Quan, Brett A. McGregor, Zhihan Wang, Nadeem Khan, Hongsheng Zhang, Jinghua Zhang, Mingyang Xia, Xiaoqiong Gu, Di Che, Junguk Hur, Xiaoyu Cui, Kai Guo   +16 more
wiley   +1 more source

TPE-optimized XGBoost model for fine-grained prediction of tertiary vocational college students' employment destinations. [PDF]

PLoS One
Chen J, Zhan J, Zhou X, Yao J, Tang SK, Liu X.   +5 more
europepmc   +1 more source

Temperature‐Modulated MEMS Gas Sensor Array Enabled by Physics‐Informed Deep Learning for Thermal‐Runaway Characteristic Gas Discrimination

Advanced Science, EarlyView.
This work presents a 2 × 2 integrated single‐chip MEMS gas sensor array with temperature modulation and deep learning for discriminating thermal‐runaway characteristic gases. The array generates distinct temperature‐modulated response patterns for four characteristic gases (H2, CO, CH4, and CO2), while a HK‐MoE model is developed to achieve robust ...
Qin Luo, Qi Guo, Rongyue Liu, Yilin Li, Haiping Zhu, Wei Zhang, Zhongren Chen, Zhaojun Liu, Xing Cheng   +8 more
wiley   +1 more source

An Explainable Hybrid Machine Learning Approach Based on MPSO-XGBoost for Pest Density Prediction in Almond Orchards. [PDF]

Insects
Barut C, Demirol D, Bingöl H, Yüksel H, Alatas B, Özgen İ.   +5 more
europepmc   +1 more source