Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network
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
Enhancing therapy monitoring and effectiveness for HIV patients in China's border regions through a healthcare consortium: an interrupted time series analysis. [PDF]
Du S +5 more
europepmc +1 more source
Collaborative Visual Localization for Modular Self‐Reconfigurable Robots
Relative localization in modular self‐reconfigurable robots is challenged by hardware limitations, constrained fields of view, and sensor faults. This paper, based on the SnailBot platform, presents a vision‐based collaborative localization method that combines ArUco markers with learning‐based algorithms to enable robust pose estimation from ...
Guanqi Liang +4 more
wiley +1 more source
Temporal Association Between COVID-19 Vaccination and HBsAg Loss in Chronic Hepatitis B Infection: An Interrupted Time Series Analysis. [PDF]
Choi J +6 more
europepmc +1 more source
An intelligent piezoelectric vibration control system integrating self‐sensing, autonomous operation, and adaptive bias‐flip synchronized switching damping (SSD) is developed. The system detects vibration extrema, executes synchronized switching control, and autonomously establishes the bias voltage without external sensing instruments, achieving ...
Hao Tang, Weiqun Liu, Guobiao Hu
wiley +1 more source
"Point education" and "rotation communication" on antimicrobial policy implementation: an interrupted time series analysis of declining cephalosporin skin test rates. [PDF]
Yin D +5 more
europepmc +1 more source
This review highlights recent advances in automated iPSC culture systems integrating robotics, advanced imaging, artificial intelligence, and process control. These technologies improve reproducibility, scalability, and quality in cell expansion, differentiation, and real‐time monitoring, while emerging AI‐enabled and closed‐loop approaches offer new ...
Hyoryong Lee +3 more
wiley +1 more source
Study on the reform effect of payment based on curative effect value for TCM dominant diseases in China: an interrupted time series analysis. [PDF]
Xu X +6 more
europepmc +1 more source
Responsible Artificial Intelligence in Courts: A Four‐Test Framework
ABSTRACT A structured framework for responsible AI applications relating to judicial decision‐making and the adjudicative functions of courts requires the satisfaction of multiple context‐specific safeguards. This article proposes a four‐test framework designed to evaluate whether AI systems used in courts operate in accordance with legal, procedural ...
Kwan Yiu Cheng
wiley +1 more source

