Results 71 to 80 of about 926,739 (292)
TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications
Advanced Robotics Research, EarlyView.TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince +3 more
wiley +1 more source
Performance characterization of clustering algorithms for colour image segmentation [PDF]
, 2006 This paper details the implementation of three traditional clustering techniques (K-Means clustering, Fuzzy C-Means clustering and Adaptive K-Means clustering) that are applied to extract the colour information that is used in the image segmentation ...
Ilea, Dana E. +2 more
core +2 more sources
The role of human factors in stereotyping behavior and perception of digital library users: A robust clustering approach [PDF]
, 2007 To deliver effective personalization for digital library users, it is necessary to identify which human factors are most relevant in determining the behavior and perception of these users.
Liu, X +3 more
core +4 more sources
Color Image Segmentation Using Fuzzy C-Regression Model
Advances in Fuzzy Systems, 2017 Image segmentation is one important process in image analysis and computer vision and is a valuable tool that can be applied in fields of image processing, health care, remote sensing, and traffic image detection. Given the lack of prior knowledge of the
Min Chen, Simone A. Ludwig
doaj +1 more source
Advanced Robotics Research, EarlyView.This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
Robust Self-Sparse Fuzzy Clustering for Image Segmentation
IEEE Access, 2020 Traditional fuzzy clustering algorithms suffer from two problems in image segmentations. One is that these algorithms are sensitive to outliers due to the non-sparsity of fuzzy memberships.
Xiaohong Jia +5 more
doaj +1 more source
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
Advanced Robotics Research, EarlyView.This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
Fuzzy clustering of intuitionistic fuzzy data
International Journal of Business Intelligence and Data Mining, 2008 Challenged by real-world clustering problems this paper proposes a novel fuzzy clustering scheme of datasets produced in the context of intuitionistic fuzzy set theory. More specifically, we introduce a variant of the Fuzzy C-Means (FCM) clustering algorithm that copes with uncertainty and a similarity measure between intuitionistic fuzzy sets, which ...
Pelekis, N. +3 more
openaire +2 more sources
Fuzzy Clustering in Parallel Universes [PDF]
NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wiswedel, Bernd, Berthold, Michael R.
openaire +4 more sources
A Fuzzy Granular K-Means Clustering Method Driven by Gaussian Membership Functions
MathematicsThe K-means clustering algorithm is widely applied in various clustering tasks due to its high computational efficiency and simple implementation.
Junjie Huang +4 more
doaj +1 more source