Results 121 to 130 of about 10,065 (265)

Enhancement Approachof Object Constraint Language Generation

, 2018
Samin Salemi, Ali Selamat
openalex   +1 more source

Specifying and Implementing Security Policies Using LaSCO, the Language for Security Constraints on Objects [PDF]

, 2000
James A. Hoagland, Raju Pandey
openalex   +1 more source

Data‐Driven Fatigue Prediction of Superalloys: A Novel Strategy Integrating Transfer Learning and Partial Label Learning for Addressing Ambiguous Data

Advanced Science, EarlyView.
A novel machine learning strategy tackles ambiguous compositional data to predict superalloy fatigue. By integrating partial label with transfer learning and enriching features through thermodynamic calculations, this approach achieves superior accuracy and interpretability.
Haopeng Lv, Jiawei Yin, Dayong Wu, Ziyuan Rao, Chao Su, Jie Kang, Qian Wang, Haikun Ma, Huicong Dong, Yandong Wang, Ru Su   +10 more
wiley   +1 more source

A multicriteria quality evaluation method for organized scientific research considering heterogeneous information. [PDF]

Sci Rep
Wang C, Zhang L.
europepmc   +1 more source

ggalign: Bridging the Grammar of Graphics and Biological Multilayered Complexity

Advanced Science, EarlyView.
The ggalign package provides a comprehensive framework for composable visualization built on top of ggplot2. Its primary purpose is to enable the construction of complex multi‐plot layouts with consistent observation alignment across plots, particularly for high‐dimensional data contexts such as genomics, transcriptomics, and microbiome studies ...
Yun Peng, Shan Jiang, Yuxuan Song, Peng Luo, Jianfeng Li, Dehua Hu, Jian‐Guo Zhou, Guangchuang Yu, Tao Xu, Shixiang Wang   +9 more
wiley   +1 more source

Interpretable PROTAC Degradation Prediction With Structure‐Informed Deep Ternary Attention Framework

Advanced Science, EarlyView.
PROTAC‐STAN, a structure‐informed deep learning framework is presented for interpretable PROTAC degradation prediction. By modeling molecular hierarchies and protein structures, and simulating ternary interactions via a novel attention network, PROTAC‐STAN achieves significant performance gains over baselines.
Zhenglu Chen, Chunbin Gu, Shuoyan Tan, Xiaorui Wang, Yuquan Li, Mutian He, Ruiqiang Lu, Shijia Sun, Chang‐Yu Hsieh, Xiaojun Yao, Huanxiang Liu, Pheng‐Ann Heng   +11 more
wiley   +1 more source

Diffusion models for robotic manipulation: a survey. [PDF]

Front Robot AI
Wolf R, Shi Y, Liu S, Rayyes R.
europepmc   +1 more source

Multiscale Cell–Cell Interactive Spatial Transcriptomics Analysis

Advanced Science, EarlyView.
In this study, we present the MultiScale Cell‐Cell Interactive Spatial Transcriptomics Analysis method, which unites the strengths of spatially resolved deep learning techniques with a topological representation of multi‐scale cell‐cell similarity relations.
Sean Cottrell, Guo‐Wei Wei
wiley   +1 more source

SIGNAL: Dataset for Semantic and Inferred Grammar Neurological Analysis of Language. [PDF]

Sci Data
Komissarenko A, Voloshina E, Cheveleva A, Semenkov I, Serikov O, Ossadtchi A.   +5 more
europepmc   +1 more source

Biodegradable MXene‐Bamboo Cellulose Paper Electrodes for Green Wearable Sensing and Exoskeleton Control

Advanced Science, EarlyView.
A biodegradable, soft, and conductive MXene‐cellulose nanofiber paper electrode integrates Ti3C2Tx nanosheets into bamboo‐derived scaffolds, with a porous Ecoflex coating that imparts waterproofing and breathability. The freestanding dry electrode enables high‐fidelity EMG sensing, strain and pressure detection, and wireless control of a knee ...
Tung‐Li Hung, Chien‐Yu Huang, Chun‐Ho Lin, Yu‐Chen Wei, Yung‐Jung Hsu, Jr‐Hau He, Yun‐Ting Kuo, An‐Yu Huang, You‐Yin Chen, You‐Rong Lin, Clemens M. Franz, Chia‐Hao Kuo, Pulikkutty Subramaniyan, Shan‐Chu Yu, Xinwei Guan, Tzu‐En Lin   +15 more
wiley   +1 more source