Results 141 to 150 of about 1,037,857 (302)

LLMs as Representation Generators for Gradient‐Free Scientific Optimization: A Case Study in Battery Fast Charging

Advanced Science, EarlyView.
Large language models serve as representation generators for gradient‐free scientific optimization. Two complementary approaches produce executable battery‐charging policies either directly or through LLM‐designed neural representations coupled to Bayesian optimization.
Ge Lei, Ferran Brosa Planella, Sterling G. Baird, Samuel J. Cooper   +3 more
wiley   +1 more source

Brain-Inspired Synergistic Adversarial Framework for Style Transfer-Guided Semantic Segmentation in Cross-Domain Remote Sensing Imagery

Remote Sensing
Domain shifts pose significant challenges for cross-domain semantic segmentation in high-resolution remote sensing imagery. Inspired by the cognitive mechanisms of the human brain, we propose a Brain-Inspired Style Transfer and Semantic Segmentation ...
Xinyao Wang, Haitao Wang, Yuqian Jing, Xiaodong Li, Xianming Yang   +4 more
doaj   +1 more source

Semantic Segmentation Map Dataset (Semap)

The Semantic Segmentation Map Dataset (Semap) contains 1,439 manually annotated map samples. Specifically, the dataset includes 356 image patches from the Historical City Maps Semantic Segmentation Dataset (HCMSSD, [1]), 78 samples extracted from 19th ...
Gomez Donoso, Damien, Petitpierre, Rémi, Kriesel, Ben   +2 more
core   +1 more source

A Generalizable Multimodal Model for Treatment‐Stratified Risk and Survival Assessment under Real‐World Constraints: A Multi‐Center Study of Colorectal Cancer

Advanced Science, EarlyView.
DAIMS is a multimodal model for treatment stratified risk and survival assessment in colorectal cancer. Training draws on pathology, genomics, and clinical reports, yet inference requires only whole slide images, and adaptation to new cohorts proceeds without target survival outcomes.
Chuangjie Cao, Zheyi Ji, Chang He, Jiying Wang, Xiaoming Luo, Junyi Liu, Xiaohu Jing, Fang Yan, Yirong Chen, Linhao Qu, Sen Yang, Le Lu, Yuming Jiang, Xiyue Wang, Chengyun Dou, Junhan Zhao   +15 more
wiley   +1 more source

An Expertise Transfer Framework For Autonomous Surgical Assistance

Advanced Science, EarlyView.
This study introduces an expertise transfer framework for procedure‐spanning autonomous surgical assistance. By emulating expert logic through hierarchical perception, attention modeling, and knowledge graph‐based decision‐making, the system provides near‐expert surgical view assistance.
Yuan Gao, Guangdi Chu, Wei Jiao, Yuchuan Zhong, Hang Yuan, Chengjun Li, Jinhua Li, Shuxin Wang, Bo Guan, Jianchang Zhao, Lizhi Pan, Haitao Niu, Jianmin Li   +12 more
wiley   +1 more source

Semantic-Fast-SAM: Efficient Semantic Segmenter

2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
APSIPA ASC ...
openaire   +3 more sources

Hyperbolic Active Learning for Semantic Segmentation under Domain Shift

We introduce a hyperbolic neural network approach to pixel-level active learning for semantic segmentation. Analysis of the data statistics leads to a novel interpretation of the hyperbolic radius as an indicator of data scarcity.
Luca Franco, Konstantinos Kallidromitis, Devin Guillory, Yu-Teng Li, Paolo Mandica, Trevor Darrell, Fabio Galasso   +6 more
core  

Bridging Chemical Literature and Molecular Graphs: LLM‐Augmented Enantioselectivity Prediction for Iridium‐Catalyzed Asymmetric C–H Borylation

Advanced Science, EarlyView.
A machine‐learning framework for asymmetric C–H borylation bridges multi‐entity 3D molecular graphs and chemical literature. Atom‐resolved mechanistic annotations extracted by large language models augment three‐component graph encoding of catalyst, substrate, and product. The model predicts enantioselectivity with high accuracy on unseen scaffolds and
Zhe Wang, Baohua Zhang, Yi Isaac Yang, Yuan Yao, Yinwu Li   +4 more
wiley   +1 more source

Memory-Augmented 3D Point Cloud Semantic Segmentation Network for Intelligent Mining Shovels

Sensors
The semantic segmentation of the 3D operating environment represents the key to intelligent mining shovels’ autonomous digging and loading operation. However, the complexity of the operating environment of intelligent mining shovels presents challenges ...
Yunhao Cui, Zhihui Zhang, Yi An, Zhidan Zhong, Fang Yang, Junhua Wang, Kui He   +6 more
doaj   +1 more source

Mechanism‐Informed Language Modeling and Oxygenated 3D Screening Identify Berberine–Enzalutamide Synergy in Prostate Cancer Models

Advanced Science, EarlyView.
By integrating knowledge‐augmented artificial intelligence with an oxygen‐supplemented 3D screening platform, a synergistic interaction between berberine and enzalutamide is identified. The framework integrates compound mechanisms of action with disease‐relevant signaling context to prioritize candidate combinations and generate testable pathway‐based ...
Chih‐Hui Lo, Katie Shi, Lina Kafadarian, Alexandra Bermudez, Johnny Diaz, Liam Edwards, Yunqi Hong, Ziyi Chen, Hyeonji Hwang, Weihong Yan, Alan Levinson, Robert Damoiseaux, Cho‐Jui Hsieh, Tanya Stoyanova, Andrew S. Goldstein, Neil Y.C. Lin   +15 more
wiley   +1 more source