An Efficient Fuzzy Self-Classifying Clustering based Framework for Cloud Security [PDF]
Sivakami Raja +2 more
openalex +1 more source
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
Determination of Pork Meat Storage Time Using Near-Infrared Spectroscopy Combined with Fuzzy Clustering Algorithms. [PDF]
Li Q +6 more
europepmc +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
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
Federated Fuzzy Clustering for Decentralized Incomplete Longitudinal Behavioral Data. [PDF]
Ngo H, Fang H, Rumbut J, Wang H.
europepmc +1 more source
Improvement of CSF, WM and GM Tissue Segmentation by Hybrid Fuzzy – Possibilistic Clustering Model based on Genetic Optimization Case Study on Brain Tissues of Patients with Alzheimer’s Disease [PDF]
Lilia Lazli, Mounir Boukadoum
openalex +1 more source
This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang +4 more
wiley +1 more source
Identifying at-risk patients for congenital heart disease using integrated predictive models and fuzzy clustering analysis: A cross-sectional study. [PDF]
Salehi A, Khedmati M.
europepmc +1 more source
Multi-Kernel Fuzzy Clustering-Based Sporting Consumption Behavior Study.
L Y, Wang Z, Li Y.
europepmc +1 more source

