Results 111 to 120 of about 2,884,172 (338)
Comparison Of Incomplete Data Handling Techniques For Neuro-Fuzzy System
Computer Science, 2014 Real-life data sets sometimes miss some values. The incomplete data needs specialized algorithms or preprocessing that allows the use of the algorithms for complete data.
Marcin Sikora, Krzysztof Simiński
doaj +1 more source
Analysis of fuzzy clustering and a generic fuzzy rule-based image segmentation technique
, 2001 Many fuzzy clustering based techniques when applied to image segmentation do not incorporate spatial relationships of the pixels, while fuzzy rule-based image segmentation techniques are generally application dependent. Also for most of these techniques,
Dooley, Laurence S., Karmakar, Gour C.
core
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
A COMPARISON OF TWO FUZZY CLUSTERING TECHNIQUES [PDF]
Journal of Process Management and New Technologies, 2013 - In fuzzy clustering, unlike hard clustering, depending on the membership value, a single object may belong exactly to one cluster or partially to more than one cluster.
Samarjit Das, Hemanta K. Baruah
doaj
A Definition for Hesitant fuzzy Partitions
International Journal of Computational Intelligence Systems, 2016 In this paper, we define hesitant fuzzy partitions (H-fuzzy partitions) to consider the results of standard fuzzy clustering family (e.g. fuzzy c-means and intuitionistic fuzzy c-means).
Laya Aliahmadipour +3 more
doaj +1 more source
Possibilistic clustering for shape recognition [PDF]
Clustering methods have been used extensively in computer vision and pattern recognition. Fuzzy clustering has been shown to be advantageous over crisp (or traditional) clustering in that total commitment of a vector to a given class is not required at ...
Keller, James M., Krishnapuram, Raghu
core +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
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
Astrocyte Enrichment of 3D Cortical Constructs Enhances Brain Repair
Advanced Science, EarlyView.This study highlights the role of astrocytes in supporting neural progenitor cell survival and differentiation after traumatic brain injury. Astrocytes enhanced neuronal differentiation, improved cell survival in co‐cultures, and promoted integration of microfluidics‐based implants with host tissue following implantation. Additionally, increased axonal
Elisa M. Cruz +20 more
wiley +1 more source
Cluster-Centered Visualization Techniques for Fuzzy Clustering Results to Judge Single Clusters
Applied SciencesFuzzy clustering, as a powerful method for pattern recognition and data analysis, often produces complex results that require careful examination of individual clusters.
Kai Vahldiek, Frank Klawonn
doaj +1 more source