Advanced Intelligent Systems, EarlyView.A visual and visual‐inertial simultaneous localization and mapping (SLAM) algorithm, leveraging enhanced deep learning features and motion smoothness constraints, is proposed in this research work. This method retains the advantages of geometry‐based SLAM methods while effectively utilizing the powerful representational capabilities of data‐driven ...
Maosheng Jiang +3 more
wiley +1 more source
Fuzzy Logic Approaches for Causal Inference in Health Care: Systematic Review. [PDF]
JMIR AIJamett J +4 more
europepmc +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Advanced Intelligent Systems, EarlyView.Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
Fuzzy logic nursing tool for early acute kidney injury detection in surgical patients. [PDF]
Front NephrolYusop N, Mat S, Mustafar R, Ismail MI.
europepmc +1 more source
Pre‐Curved Everting Robots With Embedded Steering Intelligence Fabricated by CO2 Laser Welding
Advanced Intelligent Systems, EarlyView.Design and experimental demonstration of a laser welded growing robot for anatomically guided navigation. The robot follows an aortic arch phantom entering the branchiocephalic branch through steering by design. The figure shows the physical phantom setup, CAD defined weld geometry and full robot eversion.
Brandon Saldarriaga +5 more
wiley +1 more source
Predictive models of suicidal ideation risk in perinatal-stage women based on sociodemographic and clinical data. [PDF]
Front Artif IntellMartínez-Ramírez JM +3 more
europepmc +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
Advanced Intelligent Systems, EarlyView.A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
FKG-MM: A multi-modal fuzzy knowledge graph with data integration in healthcare. [PDF]
PLoS OneTan NH +5 more
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.HTFC gets 3D refractive index tomograms of flowing cells. Label‐free monocytes are engineered to express patterns of cytoplasmic vacuoles. From the tomogram, an efficient dimensionality reduction is operated. Interpretable features are extracted to classify the expression severity of phenotypes coexisting in each cell, visually represented by a seven ...
Marika Valentino +9 more
wiley +1 more source
An automated planning optimization framework for cervical intensity-modulated radiation therapy using voxel dose prediction and adaptive parameter tuning. [PDF]
Phys Imaging Radiat OncolJia Q, Zhen C, Cai L, Zhu J, Wang X.
europepmc +1 more source