Suggested Topics within your search.
Suggested Topics within your search.
-
241
-
242
-
243
-
244
The Treatment Algorithm for Meibomyitis, Hordeolum and Halazion
Published 2019-12-01Get full text
Article -
245
Distributed Constrained Optimization Algorithms for Drones
Published 2025-01-01“…We have demonstrated that the algorithms exhibit linear convergence when the local objective functions are both smooth and strongly convex, and when the step-sizes are appropriately chosen. …”
Get full text
Article -
246
Generative Local Interpretable Model-Agnostic Explanations
Published 2023-05-01Get full text
Article -
247
Adaptation of local work organization to modern conditions
Published 2018-02-01Get full text
Article -
248
FEATURES OF LOCAL IMMUNITY IN PATIENTS WITH OROPHARYNGEAL CANCER
Published 2017-11-01“…We explored the experience of the Rostov Research Institute of Oncology and the Republican Specialized Scientific and Practical Medical Center of Oncology and Radiology of the Ministry of Health of the Republic of Uzbekistan.Materials and methods. …”
Get full text
Article -
249
-
250
The Local Earthquake Tomography of Erzurum (Turkey) Geothermal Area
Published 2019-07-01“…This study is the first approach to characterize the crust by seismic features by using the local earthquake tomography method. The earthquake source location and the three dimensional seismic velocity structures are solved simultaneously by an iterative tomographic algorithm, LOTOS-12. …”
Get full text
Article -
251
-
252
-
253
An effective algorithm for measuring diastolic artery diameters
Published 2014-01-01Get full text
Article -
254
-
255
An intelligent algorithm for identifying dropped blocks in wellbores
Published 2025-04-01Get full text
Article -
256
Improved Firefly Algorithm Based on Heuristic Information
Published 2019-02-01“…Firefly Algorithm (FA) is an optimization algorithm based on swarm intelligence which mimics the social behavior of fireflies based on the flashing and attraction characteristics of fireflies With the aim to address the disadvantages of the firefly algorithm of slow convergence speed and ease of falling into the local optimum in the later period of the evolution process, the firefly algorithm is improved herein Two kinds of heuristic information are proposed into the algorithm to guide the convergence of the algorithm The first one takes the current global best as the heuristic information referencing the “global optimal” idea in particle swarm optimization, therefore, an algorithm called FAGO (Firefly Algorithm based on Global Optimization) is formed The second one is called FABE (Firefly Algorithm based on Bayesian Estimation) using the optimal moving direction calculated by Bayesian estimation as heuristic information The improved algorithms in this study are applied to numerical simulations of several classical test functions and compared with traditional FA and some other′s research are carried out The simulation results show that the proposed algorithms can well accelerate the convergence speed and improve the convergence accuracy…”
Get full text
Article -
257
Camera Localization in Distributed Networks Using Trajectory Estimation
Published 2011-01-01Get full text
Article -
258
An Object Feature-Based Recognition and Localization Method for Wolfberry
Published 2025-05-01“…To improve the object recognition and localization capabilities of wolfberry harvesting robots, this study introduces an object feature-based image segmentation algorithm designed for the segmentation and localization of wolfberry fruits and branches in unstructured lighting environments. …”
Get full text
Article -
259
UAV Path Planning for Precision Multi-Target Localization
Published 2025-01-01“…Localization of radio-tagged wildlife is essential in environmental research and conservation. …”
Get full text
Article -
260
Wireless Localization Based on RSSI Fingerprint Feature Vector
Published 2015-11-01Get full text
Article