Results 41 to 50 of about 136 (122)

Recent Advances in High‐Entropy Nanozymes: From Fabrication to Applications

Advanced Science, EarlyView.
To highlight key achievements and clarify the current landscape of high‐entropy nanozymes (HEAzymes), this review summarizes state‐of‐the‐art developments ranging from thermodynamically and kinetically controlled synthetic strategies; enzyme‐like catalytic types, catalytic characteristics, and underlying mechanisms; to their antioxidative, therapeutic,
Yongjian Ai, Weibo Zhang, Pengjie Wang, Wentao Xu, Huiyuan Guo, Hong‐bin Sun, Meng‐Qi He, Fazheng Ren, Qionglin Liang   +8 more
wiley   +1 more source

Global-best brain storm optimization algorithm based on chaotic difference step and opposition-based learning

Scientific Reports
Recently, the following global-best strategy and discussion mechanism have been prevailing to solve the slow convergence and the low optimization accuracy in the brain storm optimization (BSO) algorithm.
Yanchi Zhao, Jianhua Cheng, Jing Cai, Bing Qi   +3 more
doaj   +1 more source

Hybrid Clustering-Enhanced Brain Storm Optimization Algorithm for Efficient Multi-Robot Path Planning

Biomimetics
To address the core challenges in multi-robot path planning (MRPP) within large-scale, complex environments—namely path conflicts, suboptimal task allocation, and computational inefficiency—this paper introduces a Hybrid Clustering-Enhanced Brain Storm ...
Guangping Qiu, Jizhong Deng, Jincan Li, Weixing Wang   +3 more
doaj   +1 more source

A Vector Grouping Learning Brain Storm Optimization Algorithm for Global Optimization Problems

IEEE Access, 2018
The original brain storm optimization (BSO) method does not rationally compromise global exploration and local exploitation capability, which results in the premature convergence when solving complicated optimization problems such as the shifted or ...
Chunquan Li, Dujuan Hu, Zhenshou Song, Feng Yang, Zu Luo, Jinghui Fan, Peter X. Liu   +6 more
doaj   +1 more source

Optimization Method for Multiple Measures to Mitigate Line Overloads in Power Systems

Energies, 2021
Line overload is one of the important causal factors of cascading failures and blackouts in power systems. An optimization method for protection and control measures to mitigate line overloads is proposed in this study.
Jinghan He, Ninghui Han, Ziqi Wang
doaj   +1 more source

XChrom: A Cross‐Cell Chromatin Accessibility Prediction Model Integrating Genomic Sequence and Cellular Context

Advanced Science, EarlyView.
XChrom is a deep learning framework that integrates genomic sequence and single‐cell context to predict chromatin accessibility. It generalizes to unseen cells and genomic regions, enabling cross‐sample and cross‐species analysis. Applied to COVID‐19 patient data, XChrom reveals key transcriptional regulatory mechanisms and disease‐associated ...
Yuanyuan Miao, Xuan Liang, Wenwen Zhang, Dongmei Han, Yurun Li, Zhen Wang   +5 more
wiley   +1 more source

Improved Brain Storm Optimization Algorithm for Lightweight Logistics UAVs Task Assignment

International Journal of Aerospace Engineering
The efficiency and cost optimization of scheduling logistics UAVs is an urgent necessity and is one of the biggest challenges in applying UAVs to logistics transportation.
Shuqin Zhang, Hongshan Xia, Wei Jiang, Hongyu Zheng, Xinyu Wei   +4 more
doaj   +1 more source

An Enhanced Brain Storm Sine Cosine Algorithm for Global Optimization Problems

IEEE Access, 2019
The conventional sine cosine algorithm (SCA) does not appropriately balance exploration and exploitation, causing premature convergence, especially for complex optimization problems, such as the complex shifted or shifted rotated problems.
Chunquan Li, Zu Luo, Zhenshou Song, Feng Yang, Jinghui Fan, Peter X. Liu   +5 more
doaj   +1 more source

ViTAMIn‐O: Democratizing Computer Vision‐Based Machine Learning for Stem Cell Research

Advanced Intelligent Systems, EarlyView.
This study introduces a fully open generalist computer vision model for predicting the differentiation outcomes of stem cell‐based model systems, together with its code‐free deployment platform, ColabViTAMIn‐O. It is benchmarked against various architectures, datasets, and training protocols.
Ferhat Hamurcu, Markus Breunig, Arpad Varga, Bianka Bosch, Jessica Lindenmayer, Anjan T. Kanakappady, Kevin Achberger, Natalia Pashkovskaia, Alexander Kleger, Stefan Liebau, Stefanie Klingenstein, Moritz Klingenstein   +11 more
wiley   +1 more source

Mapping the Intellectual Structure of AI‐Driven ESG Cost Modeling: A Bibliometric Analysis of Trends, Themes, and Future Directions

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The bibliometric and qualitative analyses of 470 publications in the Web of Science Core Collection from 2004 through 2025 in this study associated the intellectual structure and thematic evolution of AI‐driven ESG cost modeling. The research commences using an integrated analytical framework consisting of three tools: (1) Bibliometrix (R) for
Nesreen Al‐Malkawi, Adriana Giret
wiley   +1 more source