Results 51 to 60 of about 66,452 (290)

Unsupervised Hierarchical Symbolic Regression for Interpretable Property Modeling in Complex Multi‐Variable Systems

Advanced Science, EarlyView.
UHSR translates complex chemical behavior into clear and explainable equations. Applied to thin‐layer chromatography, it automatically uncovers the mathematical rules linking a molecule's structure to its polarity. This approach matches the accuracy of advanced AI while providing interpretable results, earning greater trust from chemists. The method is
Siyu Lou, Chengchun Liu, Dongxiao Zhang, Yuntian Chen, Fanyang Mo   +4 more
wiley   +1 more source

Strong Time-Consistent Solution for Cooperative Differential Games with Network Structure

Mathematics, 2021
One class of cooperative differential games on networks is considered. It is assumed that interaction on the network is possible not only between neighboring players, but also between players connected by paths.
Anna Tur, Leon Petrosyan
doaj   +1 more source

Loss of VMP1 Impairs Tight Junction Recycling and Aggravates Intestinal Barrier Dysfunction in Inflammatory Bowel Disease

Advanced Science, EarlyView.
This study identifies vacuole membrane protein 1 (VMP1) as a critical regulator of intestinal epithelial barrier homeostasis. VMP1 facilitates the recruitment of CORO1C to late endosomes, supporting Retromer‐mediated recycling of the tight junction protein Occludin.
Jiawei Zhao, Jianjun Zou, Chen Zhou, Yingui Wang, Yiman Liu, Yanqing Zhou, Yuxiang Wang, Xinyu Zhang, Huishu Yang, Hongjie Yin, Dongsheng Bai, Yue Zhao, Na Lu   +12 more
wiley   +1 more source

Shapley value: from cooperative game to explainable artificial intelligence

Autonomous Intelligent Systems
With the tremendous success of machine learning (ML), concerns about their black-box nature have grown. The issue of interpretability affects trust in ML systems and raises ethical concerns such as algorithmic bias.
Meng Li, Hengyang Sun, Yanjun Huang, Hong Chen   +3 more
doaj   +1 more source

Rapid classification of micro-particles using multi-angle dynamic light scatting and machine learning approach

Frontiers in Bioengineering and Biotechnology, 2022
The rapid classification of micro-particles has a vast range of applications in biomedical sciences and technology. In the given study, a prototype has been developed for the rapid detection of particle size using multi-angle dynamic light scattering and
Xu He, Chao Wang, Yichuan Wang, Junxiao Yu, Yanfeng Zhao, Jianqing Li, Jianqing Li, Mubashir Hussain, Mubashir Hussain, Bin Liu   +9 more
doaj   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Explainable AI: Efficiency Sequential Shapley Updating Approach

IEEE Access
Shapley value-based explainable AI has recently attracted significant interest. However, the computational complexity of the Shapley value grows exponentially with the number of players, resulting in high computational costs that prevent its widespread ...
Ovanes Petrosian, Jinying Zou
doaj   +1 more source

Revenue Distribution of Hybrid Channel Supply Chain Based on Modified Shapley Value with Cost

Discrete Dynamics in Nature and Society, 2021
The reasonable distribution of revenue determines not only the coordination but also the development of supply chain. A hybrid channel supply chain model composed of manufacturer and traditional and online retailers was identified as the object of study,
Jin Sha, Sisi Zheng
doaj   +1 more source

Estimating Peak Shaving Capacity Demand of Gas-Fired Power in China From a Regional Coordination Perspective

Frontiers in Energy Research, 2022
To meet the carbon neutralization goal and renewable energy development, it is of great significance to promote the construction of gas-fired power generation for power peak shaving.
Shuquan Zhang, Ye Wang, Xu Zhao, Xuqiang Duan, Dongkun Luo   +4 more
doaj   +1 more source

Data‐Driven Design and Fabrication of Heat‐Resistant, Ultrastrong, Lightweight Aluminum‐Based Entropy Alloy by Additive Manufacturing

Advanced Science, EarlyView.
A data‐driven strategy integrating quantum machine learning (QML) and high‐throughput computing overcomes hot‐cracking limitation to design a novel lightweight aluminum‐based entropy alloy for additive manufacturing. The fabrication transforms brittle intermetallics into deformable hierarchical nanostructures, yielding ultrastrong strength (>1 GPa) and
Enmao Wang, Chao Ding, Danyang Zhou, Chenjin Xu, Swee Leong Sing, Jianzhong Jiang, Huibin Wu   +6 more
wiley   +1 more source