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261
An Investigation of the Effectiveness of Facebook and Twitter Algorithm and Policies on Misinformation and User Decision Making
Published 2022-10-01“…Prominent social media sites such as Facebook and Twitter use content and filter algorithms that play a significant role in creating filter bubbles that may captivate many users. …”
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262
A Recruiting Maneuver Algorithm in Patients with Early Acute Respiratory Distress Syndrome
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263
Q-learning based handoff algorithm for satellite system with ancillary terrestrial component
Published 2015-09-01“…,mobile satellite system with ancillary terres-trial component (MSS-ATC),the long transmission delay of satellite link was a huge challenge which may lead to high handoff dropping probability.In order to address this problem,a novel handoff decision strategy was proposed based on the predictive RSS and Q-learning algorithm.Extensive simulation results demonstrate that the proposed scheme can de-crease the handoff dropping probability,reduce the unnecessary handoff times and maximize the network reward.In ad-dition,the proposed scheme can also adapt to the situation of high-speed movement very well.…”
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264
Use of Diagnostic Algorithms for *NTRK* Fusion-Positive Tumors in Pathology Institutes in Switzerland
Published 2021-03-01“…In May 2020, larotrectinib (Vitrakvi^®^) was approved as the first tumor-agnostic agent in Switzerland for the treatment of adult and pediatric patients with solid tumors that have a neurotrophic tyrosine receptor kinase (*NTRK*) gene fusion. …”
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265
An Efficient Coupled Genetic Algorithm-NLP Method for Heat Exchanger Network Synthesis
Published 2008-01-01“…Results show that this method may find new or near optimal solutions with a less than 2% increase in Hen annual costs.…”
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266
Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives
Published 2020-01-01Get full text
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267
Coverage compensation algorithm based on vector algebra in hybrid wireless sensor networks
Published 2014-09-01“…Aiming at the phenomenon that coverage holes caused by energy depletion coexisted with remaining energy of dormant redundant nodes in hybrid wireless sensor networks(WSN),a coverage compensation algorithm based on vector algebra to repair coverage hole with redundant nodes was presented.This algorithm included both the respective dis-placement amount calculation method of all the redundant nodes which may be involved in compensation and policies of the choice of the best redundant nodes that were selected by hole boundary node on the basis of balancing the remaining energy of nodes.The result shows that this algorithm makes full of energy resources in the premise of complete coverage to repair coverage hole,and has a better performance in both movement distance and movement cost compared with ex-isting COA algorithm.…”
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268
Weighted Energy-Balanced Efficient Routing Algorithm for Wireless Body Area Network
Published 2016-02-01“…The routing algorithm proposed in this paper may be potentially applied to significantly save energy of multiple types of sensors during vital signals aggregating and transmitting under the WBAN.…”
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269
Vibration Control of Buildings Using Magnetorheological Damper: A New Control Algorithm
Published 2013-01-01“…The new controller achieved the best reduction in maximum interstory drifts and maximum absolute accelerations over all the control algorithms presented. This reveals that the proposed controller with the MR damper is promising and may provide the best protection to the building and its contents.…”
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270
Research on multi-UAV energy consumption optimization algorithm for cellular-connected network
Published 2023-02-01“…In complex time-varying environment, the ground base station (GBS) may not assist the UAV.Therefore, a mobile edge computing (MEC) cellular-connected network based on digital twin (DT) technology was studied.Given the efficiency of multi-UAV, multiple high-altitude balloon (HAB) equipped with MEC servers were introduced.On this basis, an energy minimization problem for all UAV was proposed, and a multi-UAV trajectory optimization and resource allocation scheme was presented to solve it.The double deep Q-network (DDQN) was applied to handle the association between multi-UAV and multi-HAB, and the multi-UAV trajectory and computing resource allocation were jointly optimized by the successive convex approximation (SCA) and the block coordinate descent (BCD).Simulation experiments verify the feasibility and effectiveness of the proposed algorithm.The system energy consumption is reduced by 30%, better than the comparison algorithms.…”
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271
Coverage compensation algorithm based on vector algebra in hybrid wireless sensor networks
Published 2014-09-01“…Aiming at the phenomenon that coverage holes caused by energy depletion coexisted with remaining energy of dormant redundant nodes in hybrid wireless sensor networks(WSN),a coverage compensation algorithm based on vector algebra to repair coverage hole with redundant nodes was presented.This algorithm included both the respective dis-placement amount calculation method of all the redundant nodes which may be involved in compensation and policies of the choice of the best redundant nodes that were selected by hole boundary node on the basis of balancing the remaining energy of nodes.The result shows that this algorithm makes full of energy resources in the premise of complete coverage to repair coverage hole,and has a better performance in both movement distance and movement cost compared with ex-isting COA algorithm.…”
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272
Registration between SAR and optical images based on improved phase consistency algorithm
Published 2025-06-01“…It may even lead to reverse differences, failing to capture the consistency between the two image types. …”
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273
Optimal power flow using recent red-tailed hawk optimization algorithm
Published 2025-03-01“…In addition, the results obtained from the suggested approach have been compared to those achieved by other modern and competitive metaheuristic optimization algorithms, such as particle swarm optimization (PSO), Coot bird's algorithm (COOT), salp swarm algorithm (SSA), Marin predator algorithm (MPA), and the jellyfish search optimizer (JSO). …”
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274
Idiographic Lapse Prediction With State Space Modeling: Algorithm Development and Validation Study
Published 2025-06-01Get full text
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275
A Differential Evolution Algorithm-Based Traffic Control Model for Signalized Intersections
Published 2019-01-01“…In the proposed model, signal timing and signal phasing are optimized simultaneously using Differential Evolution (DE) algorithm which is one of the population-based metaheuristic algorithms. …”
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276
An image processing technique for optimizing industrial defect detection using dehazing algorithms.
Published 2025-01-01“…In recent years, the demand for efficient and accurate defect detection algorithms in industrial production has been increasing. …”
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277
Application-Oriented Fault Detection and Recovery Algorithm for Wireless Sensor and Actor Networks
Published 2012-10-01“…This paper proposed an application-oriented fault detection and recovery algorithm (AFDR), a novel distributed algorithm to reestablish connectivity. …”
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278
An Efficient Algorithmic Way to Construct Boltzmann Machine Representations for Arbitrary Stabilizer Code
Published 2025-06-01“…Given a set of stabilizer generators, we develop an efficient algorithm to determine both the RBM architecture and the exact values of its parameters. …”
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279
Compressed sensing subspace pursuit algorithm based on two stagewise weak selection
Published 2020-05-01“…Compressed sensing is a new way of signal sampling and data compression.The subspace pursuit algorithm has higher efficiency and precision in the compressed sensing reconstruction algorithms,but it needs the sparsity of the signal as a priori information.And if the sparsity estimation is not accurate enough,it will reduce the algorithm reconstruction effect.Aiming at this problem,a two stagewise weak selection-based subspace pursuit (TSWSP) algorithm was proposed,which didn’t need to know the sparsity of the signal in advance.The first weak selection adaptively selected the initial atom candidate set,and the second weak selection adaptively culled the wrong atoms that may had been previously selected from the current atom support set,and finally it selected a plurality of related atoms from the current atom candidate set to join the atom support set by the backtracking method.Simulation analysis shows that the proposed algorithm can reconstruct one-dimensional random signals and two-dimensional image signals accurately with unknown sparsity,and it has high stability,compared with OMP,SWOMP,BAOMP,SAMP and SP algorithm,the mean-square erroris reduced by 60.5% to 99.1%,the peak signal-to-noise ratio is improved by 2.1% to 34.3%.…”
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280
Finding Plausible Optimal Solutions in Engineering Problems Using an Adaptive Genetic Algorithm
Published 2019-01-01“…In this study, a modified genetic algorithm named multi-solution genetic algorithm (MsGA) based on clustering and section approaches is presented to identify alternative solutions for an engineering problem. …”
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