Results 81 to 90 of about 4,868,222 (188)
The classification methods for hyperspectral images (HSI) based on decision trees and convolutional neural networks have shown increasing advantages, but these methods often require a large number of labelled samples for learning, which is difficult for ...
Ning Li +3 more
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The increasing need for autonomy in space exploration missions is becoming more and more relevant in the design of missions to small bodies. The long communication latencies and sensitivity of the system to unplanned environmental perturbations mean ...
Pelayo Peñarroya +3 more
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Symmetries of the gravitational scattering in the absence of peeling
The symmetries of the gravitational scattering are intimately tied to the symmetries which preserve asymptotic flatness at null infinity. In Penrose’s definition of asymptotic flatness, a central role is played by the notion of asymptotic simplicity and ...
Marc Geiller +2 more
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Some Notes on Compact Sets in Soft Metric Spaces
The first aim of this study is to define soft sequential compact metric spaces and to investigate some important theorems on soft sequential compact metric space. Second is to introduce net and totally bounded soft metric space and study properties of this space.
YAZAR, MURAT İBRAHİM +2 more
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Few-Shot Action Recognition (FSAR) enables rapid generalization with minimal annotations, yet existing approaches often struggle to balance computational efficiency with complex temporal modeling.
Shihang Qin +6 more
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Caristi-type contractions for soft multiplicative metric space
In this paper soft multiplicative metric spaces are redefined using Hosseinzadeh soft metric perspective. Then, some topological properties are given using this soft multiplicative metric spaces.
Simge Öztunç, Seher Köse
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Optimization of Single Photon Avalanche Diode Design Using Surrogate-Reinforcement Learning
This paper presents the optimization of Single-Photon Avalanche Diode (SPAD) device design parameters using surrogate-assisted reinforcement learning (RL) framework.
Kazi Mohammad Mamun +2 more
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BEST APPROXIMATION IN SOFT METRIC SPACES
This article examines best approximation within soft metric spaces, a framework that effectively models uncertain and imprecise data. Extending classical best approximation theory, defining soft best approximation distance and establish theorem under soft contractive and cyclic contractive mappings in complete soft metric spaces.
openaire +1 more source
This paper investigates a blind space–time equaliser (STE) designed for single-input multiple-output (SIMO) systems that employ high-throughput quadrature amplitude modulation schemes. A constant modulus algorithm (CMA) aided soft decision-directed (SDD)
Wolfgang, A., Hanzo, L., Chen, S.
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As the primary equipment for roadway excavation, the roadheader operates under highly complex and variable working conditions, which makes the cutting head prone to faults.
Shuzhi SU +4 more
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