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Suggested Topics within your search.
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Data-Driven Battery Remaining Life Prediction Based on ResNet with GA Optimization
Published 2025-05-01“…To this end, this paper proposes a data-driven lithium-ion battery life prediction method based on residual network (ResNet) and genetic algorithm (GA) optimization, which is designed to screen the features of the lithium-ion battery training data in order to effectively reduce the redundant features and improve the prediction performance of the model. …”
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283
Skill decay following Basic Life Support training: a systematic review protocol
Published 2021-12-01“…Bystander cardiopulmonary resuscitation (CPR) is associated with increased rates of survival to hospital discharge following OHCA, prompting the introduction of several initiatives by the UK government to increase rates of bystander CPR, including the inclusion of Basic Life Support (BLS) teaching within the English national curriculum. …”
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284
Extrahepatic portal vein obstruction in children of the first year of life: diagnostic and treatment approaches
Published 2024-03-01“…Aim - to analyze our experience in treatment of children with symptomatic PH in children of the first year of life, the peculiarities of the course of EHPVO in them, and acknowledge readers with diagnostic algorithm of patients with EHPVO that ensures the timely start of treatment and reduce the risk of life-threatening complications. …”
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285
Characteristics and outcomes of patients with LAM receiving sirolimus in France based on real-life data
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286
Architecture of model for Elites lifecycle optimization in Iran: CM and SSM Hybrid Algorithm Methodology
Published 2022-11-01“…Finally, based on the hybrid algorithm of the methodology of soft systems and cognitive mapping, a model of the factors contributing to the optimization of the talent life cycle is presented and then, by comparing the factors in thinking system (conceptual model) with real-world actions (INEF), it is suggested that structural, behavioral, and ground changes be made to optimize the talent lifecycle at the National Elite Foundation.…”
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Predicting adolescent psychopathology from early life factors: A machine learning tutorial
Published 2024-12-01“…The best performing algorithms were elastic net and gradient boosted trees. …”
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289
A Dynamic Topology Reformation Algorithm for Power Saving in ZigBee Sensor Networks
Published 2013-11-01“…In order to extend the life time of network, we proposed a dynamic topology reformation algorithm. …”
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290
Battery Health Monitoring and Remaining Useful Life Prediction Techniques: A Review of Technologies
Published 2025-01-01“…Data-driven techniques leverage historical data, AI, and machine learning algorithms to identify degradation trends and predict RUL, which can provide flexible and adaptive solutions. …”
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291
Identification of cell chemistries in lithium-ion batteries: Improving the assessment for recycling and second-life
Published 2025-01-01“…Recycling and second life of lithium-ion batteries are vital for lowering the growing resource demand of sectors like mobility or home energy storage. …”
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292
Dynamics of quality of life of head and neck cancer patients after treatment. Clinical significance
Published 2019-01-01“…The study objective is to evaluate the quality of life as one of the main parameters that determines the effectiveness of treatment of patients with head and neck squamous cell carcinoma.Materials and methods. …”
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293
Prediction of rolling bearing performance degradation based on whale optimization algorithm and backpropagation model
Published 2025-03-01“…The dissertation proposes a prediction model that enhances the BP (Backpropagation) neural network using the WOA (Whale Optimization Algorithm) to address the issue of local convergence during prediction. …”
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294
Node characteristics based LR-WPAN routing algorithm research for network energy optimization
Published 2010-01-01“…An enhanced algorithm named F-ZBR was proposed considering the weakness of ZigBee hybrid routing algorithms and the energy consumption in LR-WPAN network.The proposed scheme reduced overall energy consumption of network by the definition of minimum routing energy and controlling the direction of RREQ packet as well as the number of hop,besides the introduction of energy flag in RREQ packet.The analysis on simulation result indicated that F-ZBR performs significantly better than ZBR in packet delivery ratio,available nodes ratio as well as remaining energy ratio.By the algorithm,therefore,it may be depleted that huge data transmission gives rise to over-consuming energy of RN+ nodes or even collapse in ZigBee network.And the algorithm also prolongs the life span of network.…”
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295
A Novel Capacity Estimation Method for Lithium-Ion Batteries Based on the Adam Algorithm
Published 2025-02-01“…The Kalman filter algorithm is first used to construct the IC curve, and the peak and corresponding voltages correlated with battery life were analyzed and extracted as capacity estimation features. …”
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296
Estimation of Stress Strength Reliability for Three-Parameter Weibull Distribution Using Jaya Algorithm
Published 2025-10-01“…Jaya algorithm is a highly effective recent metaheuristic technique. …”
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297
A Cellular Automata Bioinspired Algorithm Designing Data Trees in Wireless Sensor Networks
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298
An Enhanced Differential Evolution Based Algorithm with Simulated Annealing for Solving Multiobjective Optimization Problems
Published 2014-01-01“…An enhanced differential evolution based algorithm, named multi-objective differential evolution with simulated annealing algorithm (MODESA), is presented for solving multiobjective optimization problems (MOPs). …”
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299
Multi-hop clustering routing algorithm based on fuzzy inference and multi-path tree
Published 2017-05-01“…Wireless sensor network technologies have been widely used in modern life especially in Internet of Things. Since battery energy of sensor nodes is limited, balancing the energy consumption of each node on a transmitting path is an important issue. …”
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300
A survey of unsupervised domain adaptive semantic segmentation algorithms based on deep learning
Published 2024-01-01“…As modern life becomes increasingly intelligent, more and more applications require inferring semantic information from images before proceeding with further processing, such as virtual reality, autonomous driving, and video surveillance. …”
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