Results 171 to 180 of about 40,034 (267)

Equilibrium Control in Uncertain Linear Quadratic Differential Games with V-Jumps and State Delays: A Case Study on Carbon Emission Reduction. [PDF]

Entropy (Basel)
Jia Z.
europepmc   +1 more source

Effects of selective harvest on antler size of white‐tailed deer in Texas, USA

Wildlife Monographs, EarlyView.
We conducted 20 years of experiments on the selective harvest of white‐tailed deer by antler size, judged inferior, in 2 areas of South Texas, USA. Selective harvest increased the phenotypic antler size of older males in one study area but not the other. There was little evidence of evolution resulting from selective harvesting. Abstract There has been
Don A. Draeger, Charles A. DeYoung, Masahiro Ohnishi, David Navarro, Randy W. DeYoung, Bronson K. Strickland, David B. Wester, Alan T. Cain, David G. Hewitt   +8 more
wiley   +1 more source

Heterogeneity, reinforcement learning, and chaos in population games. [PDF]

Proc Natl Acad Sci U S A
Bielawski J, Chotibut T, Falniowski F, Misiurewicz M, Piliouras G.   +4 more
europepmc   +1 more source

Lightweight Convolutional Neural Networks Model and Data Augmentation‐Based Background Regression for Rail Surface Defect Detection

Artificial Intelligence for Engineering, EarlyView.
An ultra‐lightweight semantic segmentation network RailNet with only 0.905 M parameters is proposed for rail surface defect detection. Combined with a CDBM image enhancement and GAN‐based data augmentation, RailNet achieves superior segmentation accuracy and real‐time speed on edge devices.
Ziqing Wu, Weilong Niu, Xiaoguang Sun, Ting Qu, Yihui Zhu   +4 more
wiley   +1 more source

A stochastic evolutionary game of boosting urban low-carbon development in China. [PDF]

Sci Rep
Cai R, Loi EHN, Wang X, Zhao S, Zhang T.
europepmc   +1 more source

Stochastic Differential Games with Applications

Journal of Applied & Computational Mathematics, 2014
openaire   +1 more source

Steady-State and Dynamical Behavior of a PDE Model of Multilevel Selection with Pairwise Group-Level Competition. [PDF]

Bull Math Biol
Alexiou K, Cooney DB.
europepmc   +1 more source

Credit‐Driven Adaptive Grouping for Refined Cooperative Multi‐Agent Reinforcement Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Policy heterogeneity is crucial for achieving sophisticated coordination in complex collaborative tasks, which has emerged as one of the key challenges in multi‐agent reinforcement learning (MARL) in recent years. Notably, the grouping paradigm has made remarkable progress in addressing policy heterogeneity.
Yirui Liu, Xueqiang Gu, Caiming Zheng, Xin Xu, Zhangling Wang, Wanpeng Zhang, Yixing Lan   +6 more
wiley   +1 more source

Improving women football tactics analysis by using extreme learning and accumulated optimization algorithm. [PDF]

Sci Rep
Li J, Khishe M, Ibrahim BF.
europepmc   +1 more source

From Ambiguous Queries to Verifiable Insights: A Task‐Driven Framework for LLM‐Powered SOC Analysis⋆

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Security operations centre (SOC) analysts must investigate alerts, correlate threat intelligence and interpret heterogeneous telemetry under tight timing constraints. Although large language models (LLMs) offer strong understanding capabilities, directly applying them to SOC environments remains challenging due to semantic ambiguity in analyst
Huan Zhang, Haiyan Wang, Hao Tan, Liyi Zeng, Jingnan Li, Zhaoquan Gu   +5 more
wiley   +1 more source