Machine Learning‐Assisted Simulations and Predictions for Battery Interfaces
Advanced Intelligent Systems, EarlyView.This review summarizes machine learning (ML)‐assisted simulations and predictions at battery interfaces. It highlights how employing ML algorithms with machine vision, enables the lithium dendrite growth simulation, the solid–electrolyte interphase formation, and other interfacial dynamics.
Zhaojun Sun +4 more
wiley +1 more source
A paradigm shift in oncology imaging: a prospective cross-sectional study to assess low-dose deep learning image reconstruction versus standard-dose iterative reconstruction for comprehensive lesion detection in dual-energy computed tomography. [PDF]
Quant Imaging Med SurgHou P +13 more
europepmc +1 more source
Comparison of advanced iterative reconstruction methods for SPECT/CT
, 2011 Peter Knoll +8 more
openalex +1 more source
Phenobot: An Autodigital Modeling System for in situ Phenotyping in Horticulture
Advanced Intelligent Systems, EarlyView.This study introduces a robotic phenotyping system for precision agriculture, integrating environmental understanding, motion planning, and in situ plant phenotyping. The system autonomously navigates through real‐world agricultural environments, collects high‐quality plant data, and reconstructs accurate 3D plant models. Results demonstrate the system'
Kewei Hu +5 more
wiley +1 more source
Multi‐Diseases Detection with Memristive System on Chip
Advanced Intelligent Systems, EarlyView.A robust disease detection system, which is capable of the early prevention of acute myocardial infarction and the detection of liver cancer, is implemented on a memristive system‐on‐chip (SoC). A fully integrated SoC is utilized to ensure the system's portability, low latency, high accuracy, and energy efficiency for medical analysis.
Zihan Wang +7 more
wiley +1 more source
A Shared Control Method of Multiobjective Motion Fusion for Surgical Robot
Advanced Intelligent Systems, EarlyView.This paper proposes an innovative shared control method that can handle multiple objectives task by integrating various types of controllers. It not only takes into account the priorities among the objectives but also allows for the flexible addition or removal of objective controllers.
Xilin Xiao +7 more
wiley +1 more source
Fairness in Federated Learning: Trends, Challenges, and Opportunities
Advanced Intelligent Systems, EarlyView.This survey delves into the intricate issues pertinent to fairness in federated learning , where various biasing factors can skew model performance. By systematically analyzing fairness‐aware strategies, evaluation metrics, and future directions, this work identifies pivotal research gaps in existing approaches and sheds light on both challenges and ...
Noorain Mukhtiar +2 more
wiley +1 more source
Multicluster Distributed Optimization Strategy for Turbine Wake Environment
Advanced Intelligent Systems, EarlyView.This article studies the wake analysis of wind farms in different aspects, including basic methods, clustering optimization, and wake optimization. Through multiclustering, the wake optimization in a specific wind farm environment is explored. And focusing on the time cost and other issues that need to be solved in practical applications, targeted ...
Zhenping Yu +5 more
wiley +1 more source
Nonenhanced Photon Counting CT of the Head : Impact of the keV Level, Iterative Reconstruction and Calvaria on Image Quality in Monoenergetic Images. [PDF]
Clin NeuroradiolMichael AE +10 more
europepmc +1 more source