Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network
Advanced Intelligent Discovery, EarlyView.We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang +16 more
wiley +1 more source
Particle Swarm Optimization as a Noise‐Tolerant Strategy for High‐Entropy Alloy Research
Advanced Intelligent Discovery, EarlyView.A customized particle swarm optimization algorithm is benchmarked against batch Bayesian optimization across four high‐entropy alloy oxygen‐reduction landscapes. While both methods locate the global optimum comparably under noise‐free conditions, Bayesian optimization’s surrogate model tends to overfit noisy data.
Ahmad Tirmidzi +2 more
wiley +1 more source
Promotion strategies for environmentally friendly packaging: a stochastic differential game perspective. [PDF]
Int J Environ Sci Technol (Tehran), 2023 Wang C, Liu J, Fan R, Xiao L.
europepmc +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
Time-inconsistent linear-quadratic optimal control for mean-field stochastic equation with jump
Franklin OpenThis paper investigates the time-inconsistency in linear-quadratic optimal control problem for mean-field stochastic equation with jump-diffusion. We introduced the open-loop equilibrium and the closed-loop strategy at first.
Su Zhang +3 more
doaj +1 more source
Mean-Field Type Games between Two Players Driven by Backward Stochastic Differential Equations
Games, 2018 In this paper, mean-field type games between two players with backward stochastic dynamics are defined and studied. They make up a class of non-zero-sum, non-cooperating, differential games where the players’ state dynamics solve backward ...
Alexander Aurell
doaj +1 more source
Research on Corporate Social Responsibility Coordination of Three-Tier Supply Chain Based on Stochastic Differential Game. [PDF]
Front Psychol, 2022 Yang M, Yang Z, Li Y, Liang X.
europepmc +1 more source
Kinematic‐Aware Diffusion Model Correction for Human Motion Generation via Pose Transfer
Advanced Intelligent Systems, EarlyView.Overall architecture of the proposed video kinematic pose correction pipeline. The framework integrates diffusion‐based video generation, multi‐estimator skeleton extraction, temporal Kalman smoothing, biomechanical constraint enforcement, and pose‐conditioned frame regeneration via Pose‐guided Image Synthesis and Editing. This paper presents Kinematic‐
Alaa Abdullah Albaghdadi +1 more
wiley +1 more source
Stochastic homogenization of HJ equations: a differential game approach [PDF]
We prove stochastic homogenization for a class of non-convex and non-coercive first-order Hamilton-Jacobi equations in a finite-range of dependence environment for Hamiltonians that can be expressed by a max-min formula. We make use of the representation
Davini, Andrea +2 more
core +3 more sources
Stochastic Differential Financial Portfolio Game Under CEV Model with CRRA Utility
MathematicsThis paper investigates a stochastic differential portfolio game between two competing investors with relative wealth preferences. The financial market consists of one risk-free asset and one risky asset, whose price dynamics follow the CEV model.
Shuo Cheng, Ming Cao, Hua Zhang
doaj +1 more source