Results 101 to 110 of about 10,970 (308)
Ostrowski–Sugeno Type Fuzzy Integral Inequalities
Here we present Ostrowski–Sugeno Fuzzy type inequalities. These are Ostrowski-like inequalities in the context of Sugeno fuzzy integral and its special properties. They give tight upper bounds to the deviation of a function from its Sugeno-fuzzy averages.
Anastassiou, George A. +1 more
core +1 more source
Machine learning and image processing are closely related fields that have undergone major development and application in recent years. Machine learning algorithms are being used to develop sophisticated techniques for analyzing and interpreting images ...
Bahram Farhadinia +2 more
doaj +1 more source
Trust Evaluation Model Based on Behavior Space Classification for Ad Hoc Networks
Trust management frameworks are used to evaluate and manage trust relationships between network nodes and enhance network security. However, trust management frameworks themselves are vulnerable to attacks. Attacks against trust management frameworks are
Li Yu, Zuhao Liu, Yuan Gao, Dudu Samba
doaj +1 more source
On fuzzy integral inequalities and fuzzy expectation
The authors consider some inequalities and some equalities for Sugeno's fuzzy integrals taking values in the positive extended reals. They may be regarded as extensions of the following theorem: \(\int h d\mu =k\quad \Leftrightarrow \quad \mu (\{h\geq k\})\geq k\geq \mu (\{h>k\}).\) Furthermore, the authors give a kind of fuzzy equation and its ...
DI NOLA, Antonio +1 more
openaire +3 more sources
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Information aggregating networks based on extended Sugenos fuzzy integral
Sugenos fuzzy integral is a functional to aggregate partial evaluations for an object in consideration of importance degrees of evaluation items. This paper presents the issues related to Sugenos fuzzy integral for information aggregation.
Keon-Myung Lee, Lee, Kwang-Hyung
core
A Choquet Fuzzy Integral Vertical Bagging Classifier for Mobile Telematics Data Analysis [PDF]
© 2019 IEEE. Mobile app development in recent years has resulted in new products and features to improve human life. Mobile telematics is one such development that encompasses multidisciplinary fields for transportation safety.
Mohsen Naderpour +5 more
core +1 more source
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
Efficient and Robust Standing Postures of Quadruped Robots
A calibrated static framework estimates load, optimizes torques, and adapts posture so quadruped robots stand efficiently and robustly under external payloads, achieving up to 50% lower torque demand. Inspired by the natural posture adjustments of animals under external loading, this article presents an optimization‐based framework for minimizing joint
Mohamad Kanaan +5 more
wiley +1 more source
This work presents the MicroRoboScope, a highly integrated, compact, and portable microrobotic experimentation platform combining electromagnetic and acoustic actuation with real‐time visual feedback into a single, end‐to‐end device. The system enables closed‐loop control and tracking algorithm experimentation within an accessible and unified hardware ...
Max Sokolich +4 more
wiley +1 more source

