Results 231 to 240 of about 1,429,068 (340)

SGCD: High‐Resolution Spatial Domain Characterization via Data Interpolation and Cell‐Type Deconvolution

Advanced Science, EarlyView.
SGCD presents a novel approach for tissue spatial domain identification by employing interpolation to estimate inter‐spot gene expression and deconvolution to resolve cell‐type composition in both sampled and interstitial regions. By integrating gene expression, cell type, and spatial coordinates within a graph contrastive learning framework, SGCD ...
Tianjiao Zhang, Shenghe Li, Ruolan Zhang, Hongfei Zhang, Zhongqian Zhao, Hao Sun, Zhenao Wu, Guohua Wang   +7 more
wiley   +1 more source

Determination of the oral carcinoma and sarcoma in contrast enhanced CT images using deep convolutional neural networks. [PDF]

Sci Rep
Warin K, Limprasert W, Paipongna T, Chaowchuen S, Vicharueang S.   +4 more
europepmc   +1 more source

Harnessing Machine Learning to Enhance Transition State Search with Interatomic Potentials and Generative Models

Advanced Science, EarlyView.
Comprehensive evaluation of MLIPs and generative models for TS search using an end‐to‐end benchmark platform. Success rates, TS quality, and barrier prediction errors are systematically compared across models. The results reveal key performance trade‐offs and provide actionable insights for improving ML‐based transition state search and reaction ...
Qiyuan Zhao, Yunhong Han, Duo Zhang, Jiaxu Wang, Peichen Zhong, Taoyong Cui, Bangchen Yin, Yirui Cao, Haojun Jia, Chenru Duan   +9 more
wiley   +1 more source

Prediction of Ultra-High-Performance Concrete (UHPC) Compressive Strength Based on Convolutional Neural Networks. [PDF]

Materials (Basel)
Xu L, Yu X, Zhu C, Wang L, Yang J.
europepmc   +1 more source

Bioinspired Intelligent Soft Robotics: From Multidisciplinary Integration to Next‐Generation Intelligence

Advanced Science, EarlyView.
Soft robotics, featuring intrinsic compliance and biomimetic adaptability, emerges as transformative in next‐generation intelligent systems. This review outlines how advancements in four foundational domains—actuation, materials, manufacturing, and control—drive the evolution of bioinspired intelligent soft robotics, poised to redefine the boundaries ...
Xiaopeng Wang, Ruilai Wei, Zhongming Chen, Hao Pang, Haotian Li, Yang Yang, Qilin Hua, Guozhen Shen   +7 more
wiley   +1 more source

Brain tumour detection from magnetic resonance imaging using convolutional neural networks

Contemporary Oncology
Irene Rethemiotaki
doaj   +1 more source

Design of Low-Cost and Highly Energy-Efficient Convolutional Neural Networks Based on Deterministic Encoding. [PDF]

Sensors (Basel)
Tong T, He Q, Nie X, Zhao Y.
europepmc   +1 more source

Inductive‐Associative Meta‐learning Pipeline with Human Cognitive Patterns for Unseen Drug‐Target Interaction Prediction

Advanced Science, EarlyView.
Predicting unseen drug‐target interactions is challenging. BioBridge presents an Inductive‐Associative pipeline inspired by scientists' workflow. It combines transferable binding principles, learned via multi‐level encoders and adversarial training, with insights from weakly related references through meta‐learning.
Xiaoqing Lian, Tianxu Lv, Jie Zhu, Shiyun Nie, Hang Fan, Guosheng Wu, Yunjun Ge, Hong Xu, Xiaoting Wang, Lihua Li, Xiangxiang Zeng, Xiang Pan   +11 more
wiley   +1 more source

Fetal-Net: enhancing Maternal-Fetal ultrasound interpretation through Multi-Scale convolutional neural networks and Transformers. [PDF]

Sci Rep
Islam U, Ali YA, Al-Razgan M, Ullah H, Almaiah MA, Tariq Z, Wazir KM.   +6 more
europepmc   +1 more source

Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling

, 2015
Kun Xu, Yansong Feng, Songfang Huang, Dongyan Zhao   +3 more
openalex   +2 more sources