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181
Automated cell annotation in multi-cell images using an improved CRF_ID algorithm
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182
Research on Radio Network Intelligent Frequency Selection Technology Based on an Adaptive Genetic Algorithm
Published 2015-03-01“…In order to solve the problem of selecting frequency more and more difficultly for radio network,an intelligent frequency selection technology based on an adaptive genetic algorithm was proposed.Frequencies were selected for whole radio network from the perspective of intelligent optimization.On the basis of the standard genetic algorithm,this novel method improved genetic operators,and the preservation of the optimal individual algorithm to ensure the diversity of the population was introduced.Therefore,the arithmetic which did well in avoiding some deficiencies of the traditional frequency selection algorithm prevented local optimization and ran into overall optimization ultimately.Theoretical analysis and simulation results show that the new algorithm in solving the problem of frequency selection for large-scale network has higher efficiency and precision than the traditional algorithm,and stability is significantly enhanced.…”
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183
Rule-Based Multiple Coverage Path Planning Algorithm for Scanning a Region of Interest
Published 2025-05-01“…The performance of the proposed algorithm is verified by numerous simulations.…”
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184
Parameter estimation and speed control of real DC motor with low resolution encoder
Published 2025-06-01“…For parameter estimation, a popular iterative optimization algorithm, namely Particle Swarm Optimization (PSO), is used. …”
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185
Barcode-free multiplex plasmid sequencing using Bayesian analysis and nanopore sequencing
Published 2025-04-01“…Long-read sequencing has emerged as a competitor to Sanger sequencing, with the principal benefit that whole plasmids can be sequenced in a single run. …”
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186
Diagnostic algorithm for the detection of carbapenemases and extended-spectrum β-lactamases in carbapenem-resistant Pseudomonas aeruginosa
Published 2025-06-01“…Incorporating Carba-5 into the phenotypic algorithm improved sensitivity for confirming MBL production to 100%. …”
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187
Review of Icing Prediction Model and Algorithm for Overhead Transmission Lines Considering Time Cumulative Effects
Published 2024-06-01“…Secondly, the combination and intercrossing mode of support vector machine, hybrid swarm intelligence optimization algorithm, genetic algorithm in the model focus on the identification and modeling of icing process. …”
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188
Novel Node Localization Algorithm Based on Nonlinear Weighting Least Square for Wireless Sensor Networks
Published 2012-11-01“…This paper presents a new method for wireless sensor network node positioning based on nonlinear weighting least-square algorithm. Regarding ranging equation error-weighted sum as a whole, this method starts with the initial iteration point of stepwise refinement to explore the optimal solution and further reduces the positioning computational complexity by the simplification of the Taylor equation. …”
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189
Frequency minimum inertia calculation of complex power systems based on an improved simulated annealing algorithm
Published 2025-05-01“…In order to enhance the inertia situational awareness and stability of the power system in the context of the reduction of power system inertia and the challenge of frequency stability due to the high proportion of new energy access, the background and purpose of the study are stated in the introduction; methodologically, based on the frequency response model of the power system, we analyze the time and magnitude of the maximum frequency offset, clarify the factors affecting the frequency stability and construct the mathematical relationship, and then build a model for assessing the minimum inertia of the power system taking into account the virtual inertia of the new energy source. Then, based on the whole process of frequency response, we construct a power system minimum inertia assessment model taking into account the virtual inertia of new energy sources, and introduce an improved simulated annealing algorithm to solve the problem; the results validate the accuracy of the method through the IEEE-14 node model; the discussion section points out that this method provides a feasible solution for the inertia situational awareness of power system, which is helpful for the optimization of the operation, and also proposes that in the future we can take into account more uncertainties to improve the model and algorithm and to enhance the practicability and adaptability of this method. …”
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190
Vertical Handover Decision Algorithm Using Ants’ Colonies for 4G Heterogeneous Wireless Networks
Published 2016-01-01“…The concept is based on QoS aware ant colony built on the vertical handoff mechanism that uses an updated version of ants’ colony optimization decision algorithm (ACOR), the dynamic and static factors such as RSS, the cost of service, bandwidth, the velocity of MT, the power consumption and security, and the module for predicting the traveling distance within an IEEE 802.11 WLAN cell. …”
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191
Research on the Construction of Crossborder e-Commerce Logistics Service System Based on Machine Learning Algorithms
Published 2022-01-01“…Second, we design a simple calculation example, use Python programming through a simulated shopping environment, give the solution process of the optimal recommendation strategy in the whole process, and prove the feasibility of the algorithm. …”
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192
Minimizing Delay in UAV-Aided Federated Learning for IoT Applications With Straggling Devices
Published 2024-01-01“…We formulate an optimization problem to minimize system delay, considering UAV-MEC’s computation power, computation and communication power of IoT devices, and quality of service constraints. …”
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193
Memory-Saving Implementation of High-Speed Privacy Amplification Algorithm for Continuous-Variable Quantum Key Distribution
Published 2018-01-01“…Here, we propose a novel privacy amplification scheme with an optimal hash function. In particular, by utilizing the linear feedback shift register (LFSR) technique, we optimize and simplify the construction of the Toeplitz matrix. …”
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194
Real-Time Resource Allocation Algorithm for the Quasi-Two-Dimensional Mobile Delay/Disrupt Tolerant Networking
Published 2013-06-01“…Finally simulation showed that call-drop-rate in handover and new call-block-rate only increase by about 1/4, compared with that of the optimized-algorithm, but calculation time decrease down to its 36.99%. …”
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195
Real-Time Resource Allocation Algorithm for the Quasi-Two-Dimensional Mobile Delay/Disrupt Tolerant Networking
Published 2013-06-01“…Finally simulation showed that call-drop-rate in handover and new call-block-rate only increase by about 1/4, compared with that of the optimized-algorithm, but calculation time decrease down to its 36.99%. …”
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196
5G-Practical Byzantine Fault Tolerance: An Improved PBFT Consensus Algorithm for the 5G Network
Published 2025-03-01“…The consensus algorithm is the core technology of blockchain systems to maintain data consistency, and its performance directly affects the efficiency and security of the whole system. …”
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Fault Diagnosis System of Induction Motors Based on Neural Network and Genetic Algorithm Using Stator Current Signals
Published 2006-01-01“…GA is used to select the most significant features from the whole feature database and optimize the ANN structure parameter. …”
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199
Research on coal mine robot positioning algorithm based on integration of ORB-SLAM3 vision and inertial navigation
Published 2025-06-01“…According to the principle of tight coupling of visual inertial navigation, the residual function of the whole positioning system is constructed by fusing visual residual error and IMU residual error, and the sliding window BA algorithm based on nonlinear optimization is used to iteratively optimize the residual function to obtain accurate pose estimation of the mobile robot. …”
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200
Performance Comparison of 10 State-of-the-Art Machine Learning Algorithms for Outcome Prediction Modeling of Radiation-Induced Toxicity
Published 2025-02-01“…Purpose: To evaluate the efficacy of prominent machine learning algorithms in predicting normal tissue complication probability using clinical data obtained from 2 distinct disease sites and to create a software tool that facilitates the automatic determination of the optimal algorithm to model any given labeled data set. …”
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