Validating a clinical laboratory parameter-based deisolation algorithm for patients with COVID-19 in the intensive care unit using viability PCR: the CoLaIC multicentre cohort stud... by Albert Wolthuis, Petra F G Wolffs, Tim Frenzel, Mathie P G Leers, Frank van Rosmalen, Steven JR Meex, Otto Bekers, Bas C T van Bussel, Inge H M van Loo, Guy JM Mostard, Rémy LM Mostard, Arjen-Kars Boer, Ruben Deneer, Tom Schoenmakers, Stefan H M Gorissen, Wilhelmine P H G Verboeket-van de Venne, Walter N K A van Mook, Stephanie MC Ament, M Sesmu Arbous, Miranda van Berkel, Dirck W van Dam, William PTM van Doorn, Tom P Dormans, Silvia MAA Evers, Judith Gillis, Iwan CC van der Horst, W Nadia H Koek, Kitty CFM Linssen, Luuk C Otterspoor, Natal AW van Riel, Frans Stals

“…Simultaneously, a second prospective cohort will be used to investigate the algorithm derived in the first cohort, with daily measured laboratory parameters, next to conventional SARS-CoV-2 reverse transcriptase PCRs, as well as v-PCR, to confirm the presence of intact SARS-CoV-2 particles in the patient. …”
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Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach by Sujan Ghimire, Ravinesh C. Deo, Konstantin Hopf, Hangyue Liu, David Casillas-Pérez, Andreas Helwig, Salvin S. Prasad, Jorge Pérez-Aracil, Prabal Datta Barua, Sancho Salcedo-Sanz

“…Input features are identified using the Partial Autocorrelation Function , and models are optimized using the Optuna algorithm. …”
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Model-Based RL Decision-Making for UAVs Operating in GNSS-Denied, Degraded Visibility Conditions with Limited Sensor Capabilities by Sebastien Boiteau, Fernando Vanegas, Julian Galvez-Serna, Felipe Gonzalez

“…The framework was first assessed in simulation, compared with a baseline algorithm, and then through real-life testing across several scenarios. …”
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Modeling of erosion processes in open channels by M. R. Magomedova

“…The principles of developing a model of erosion processes in open channels, the modular structure of the calculation algorithms and programs compiled on its basis, allow us to continuously improve the methods for calculating individual parameters of the erosion process and make adjustments to the corresponding modules of algorithms.…”
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A Novel SOH Estimation Method for Lithium-Ion Batteries Based on the PSO–GWO–LSSVM Prediction Model with Multi-Dimensional Health Features Extraction by Xu He, Zhengpu Wu, Jinghan Bai, Junchao Zhu, Lu Lv, Lujun Wang

“…To improve LSSVM model accuracy and efficiency, this paper develops a novel prediction model that uses particle swarm optimization (PSO) combined with grey wolf optimization (GWO) algorithms to optimize the LSSVM model. …”
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Advanced Dynamic Vibration Control Algorithms of Materials Terfenol-D Si₃N₄ and SUS304 Plates/Cylindrical Shells with Velocity Feedback Control Law by Chih-Chiang Hong

“…The vibrations of displacement and stress can be controlled by the control gain algorithms in velocity feedback control law.…”
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VMD‐FBCCA classification method for SSVEP brain–computer interfaces by Ping Tan, Fengsheng Wang, Kaijun Zhou, Yi Shen

“…Next, a particle swarm algorithm is employed to optimize the weights of the IMFs and reconstruct the EEG signals. …”
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Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees by Shobha Aswal, Neelu Jyothi Ahuja, Ritika Mehra

“…As the conventional approaches are partially successful in dealing with the complex nature of high-dimensional and imbalanced biomedical data for lung cancer classification. …”
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BLACK HUMOUR: ORIGIN DESCRIPTION AND AN ATTEMPT OF IDENTIFICATION by Iryna A. Blynova.

“…The article also specifies the algorithm for identifying black humour in prose works, which involves the use of three groups of analysis methods (linguistic, semasiological and communicative). …”
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Portable X-ray fluorescence sensor for ecofriendly, low-cost, and fast assessment of eucalypt charcoal attributes by Renata Andrade, Lucas Benedet, Marcelo Mancini, Sérgio Henrique Godinho Silva, Camila da Silva Freitas, Marco Aurélio Carbone Carneiro, Nilton Curi

“…The objective of this study was to evaluate the use of pXRF data in machine-learning models trained to predict attributes of eucalypt charcoal. pXRF data (elemental contents) from 276 charcoal samples were used to train predictive models using six machine-learning algorithms. Auxiliary explanatory variables (drying time, wood age, fine particle content, and friability) were included in the models. …”
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Crack Identification and Flaw Detection Eva-luation of Bolster Hanger Based on Machine Vision by YANG Fan, ZHAO Mengjiao, CHEN Ying, JIANG Xue

“…Experimental results demonstrate that the improved algorithm achieved a MAP (mean average precision) of 98.08%, representing a 2.91% increase over the original model, and a Recall increase of 4.13%. …”
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APPLICATION OF SEMI SUPERVISED LAPLACE SCORE IN ROLLING BEARING FAULT DIAGNOSIS (MT) by LIANG Chuang, CHEN ChangZheng, LIU Ye, JIA XinYing

“…SSLS applies the semi supervised idea to the Laplace score feature selection method, uses a small number of labeled samples and a large number of unlabeled samples, and combines KPCA to excavate fault features for a second time. At the same time, particle swarm optimization-based support vector machine（PSO-SVM） algorithm is used for fault classification. …”
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Dynamic Task Allocation for Heterogeneous Multi-Autonomous Underwater Vehicle Collaboration Under Mine Countermeasures Missions by Juan Li, Baohua Liu, Caiyun Liu, Cong Lin

“…To address this, a soft time windows consensus-based bundle algorithm with partial reallocation (SWCBBA-PR) is designed. …”
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Day-Ahead Scheduling for Economic Dispatch of Combined Heat and Power With Uncertain Demand Response by Seyyed Ebrahim Hosseini, Mojtaba Najafi, Ali Akhavein, Mahdi Shahparasti

“…The above problem is solved through the use of the co-evolutionary particle swarm optimization (C-PSO) algorithm and the proposed model is implemented on a standard seven-unit system for a period of 24 hours.…”
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Microphone Based Acoustic Vector Sensor for Direction Finding with Bias Removal by Mohd Wajid, Arun Kumar, Rajendar Bahl

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METAHEURISTIC-DRIVEN MULTI OBJECTIVE FIR FILTER DESIGN FOR ECG DENOISING by Mehmet Fatih Karakaş, Fatma Latifoğlu

“…The research employs advanced metaheuristic algorithms, including Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), Genetic Algorithm (GA), Black Widow Optimization (BWO), Chaos Game Optimization (CGO), Harmony Search (HS), Squirrel Search Algorithm (SSA), and Atomic Orbital Search (AOS) to optimize multiple filter design parameters jointly. …”
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Optimization of Energy Management Strategy for Series Hybrid Electric Vehicle Equipped with Dual-Mode Combustion Engine Under NVH Constraints by Shupeng Zhang, Hongnan Wang, Chengkai Yang, Zeping Ouyang, Xiaoxin Wen

“…An equivalent consumption minimization strategy (ECMS) combined with a dual-loop particle swarm optimization (PSO) algorithm was designed to solve the optimal control problem. …”
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Control-Oriented Real-Time Trajectory Planning for Heterogeneous UAV Formations by Weichen Qian, Wenjun Yi, Shusen Yuan, Jun Guan

“…Inspired by Model Predictive Control (MPC), in the trajectory planning stage, the method generates multi-step trajectory points using an improved artificial potential field (APF) method, estimates the actual formation trajectory using the prediction network, and optimizes the trajectory through a multi-objective particle swarm optimization (MOPSO) algorithm after evaluating the planning costs. …”
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Experimental study on mechanical properties of triaxial geogrid reinforced marine coral sand-clay mixture based on 3D printing technology by Danda Shi, Kaiwei Xu, Zhiming Chao, Zhiming Chao, Peng Cui, Peng Cui

“…Based on the experimental results, a dataset was established, while a novel machine learning model named GP-BPNN was proposed, integrating genetic algorithm (GA), particle swarm optimization (PSO), and backpropagation neural network (BPNN). …”
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A bi-decision model for electric vehicle dispatch and battery swapping station charging schedule problem by Yong Su, Shishun Tian, Hao Wu, Xia Li

“…In the second model, a multi-objective particle swarm optimization (MOPSO) algorithm is proposed to obtain the Pareto set of the complicated scheduling problem. …”
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