Estimation for Two Sensitive Variables Using Randomization Response Model Under Stratified Random Sampling by Gi-Sung Lee, Ki-Hak Hong, Sung-Hwan Kim, Chang-Kyoon Son

“…In each proposed survey design, the sample allocation of each stratum is dealt with in consideration of proportional allocation and optimal one. We compare the efficiency between the simple model and the crossed model according to the proposed stratified random sampling design.…”
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Optimal Configuration of Energy Storage in Photovoltaic Park with Electric Vehicle Demand Response Based on Stackelberg Game and Information Gap Decision Theory by LI Chenzhao, CHEN Jiajia, WANG Jinghua

“…[Methods] A photovoltaic park energy storage optimal configuration method based on Stackelberg game pricing and information gap decision theory （IGDT） with electric vehicle （EV） demand response is proposed. …”
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Random Response and Crossing Rate of Fractional Order Nonlinear System with Impact by Yang Zheng, Jiayin Wu, Ming Xu

“…The random response and mean crossing rate of the fractional order nonlinear system with impact are investigated through the equivalent nonlinearization technique. …”
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Random uncertain motor parameters identification combining fourth-order moment and trust region by Wengui Mao, Congcong Liao, Jie Guo, Xuemei Wu, Jianhua Li

“…The outer layer transforms the random uncertain motor parameters identification into a deterministic optimization problem by minimizing the probability distribution between the calculated and the measured motor performance response. …”
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Light attenuation as a substitute for nutrient supply for maximizing protein content in Gracilaria cornea (Rhodophyta): Modeling nitrogen and phosphorus supplementation using a pha... by Niva Tadmor-Shalev, Dan Tchernov, Andrea Ghermandi, Eli Shemesh, Álvaro Israel, Anna Brook

“…A pharmacokinetic approach determined nutrient dose efficacy and a decision support model identified biotic and abiotic factors affecting protein yield and optimal harvesting day. Results: The cultivation day, treated as a nominal classification fixed variable, was significant in capturing the non-linear response of protein expression. …”
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Optimal exercise dose on Body Mass Index (BMI) in children and adolescents with overweight and obesity: a systematic review and bayesian model-based network meta-analysis by Zan Huang, Gang Sun, Jiayu Li, Bin Zhang, Guangping Lai, Hongwei Jing, Yulan Zhou

“…Abstract Background Exercise is widely used for obesity management, but the optimal doses of exercise for improving body mass index (BMI) in children and adolescents with overweight and obesity remain unclear. …”
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Optimal Poisson Cognitive System with Markov Learning Model by A. A. Solodov

“…Thus, the following assumptions are accepted in the work, apparently corresponding to the behavior of the system assuming human reactions, i.e. the cognitive system.The images analyzed by the system arise at random moments of time, while the duration of time between neighboring appearances of images is distributed exponentially.The system analyzes the resulting images and makes a decision about the presence or absence of an image at its input in accordance with the optimal Neуman-Pearson algorithm that maximizes the probability of correct identification of the image with a fixed probability of false identification.The system is trainable in the sense that decisions about the presence or absence of an image are made sequentially on a set of identical situations, and the probability of making a decision depends on the previous decision of the system.The new results of the study are analytical expressions for the probabilities of the system staying in each of the possible states, depending on the number of steps of the learning process and the intensities of useful and interfering stimuli at the input of the system. …”
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Analysis of optimization for properties of UWB indoor multipath channel by HU Luo-quan, ZHU Hong-bo

“…Methods of optimization were proposed for analyzing the properties of UWB indoor multipath channels,and a mathematical model for UWB channel modeling was discussed.Assumptions of stochastic bridge process and probabilistic choice were adopted.A UWB channel impulse response based on bounded Brownian bridge model （BBBM） was constructed.The judgments of effective random paths,and modeling algorithms based on the methods of optimization were presented.The results of simulation for UWB channels demonstrated that the BBBM could obtain the similar properties to the ones of experiments and UTD methods,some characteristic parameters corresponded well with the experimental values.…”
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Optimizing a Personalized Health Approach for Virtually Treating High-Risk Caregivers of Children With Neurogenetic Conditions (Project WellCAST): Protocol for a Randomized Control... by Bridgette Kelleher, Kaleb Emerson, Lyndsey N Graham, Veronika Vozka, Anne Wheeler, William Fadel, Daniel Foti, Isha Metzger, Mandy Rispoli, Wendy Machalicek, Laurie McLay, Sean Lane, Wei Siong Neo, Allie Carter, Lisa Brown, Jennifer Brown, Laura Lee McIntyre, Elizabeth Salwitz, Gloria Dietz, Riley Naughton, Katlyn Peek, Nicole Hollins, Emma Woodford

“…Multiple waves of data collection will allow us to continually optimize the algorithm and test incremental improvements across project phases. …”
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Multi-Energy Optimal Dispatching of Port Microgrids Taking into Account the Uncertainty of Photovoltaic Power by Xiaoyong Wang, Xing Wei, Hanqing Zhang, Bailiang Liu, Yanmin Wang

“…To tackle the problems of high scheduling costs and low photovoltaic (PV) accommodation rates in port microgrids, which are caused by the coupling of uncertainties in new energy output and load randomness, this paper proposes an optimized scheduling method that integrates scenario analysis with multi-energy complementarity. …”
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A New Reliability Rock Mass Classification Method Based on Least Squares Support Vector Machine Optimized by Bacterial Foraging Optimization Algorithm by S. Zheng, A. N. Jiang, X. R. Yang, G. C. Luo

“…However, conventional classification methods do not allow dynamic tunnel construction adjustments because they are time-consuming and do not consider the randomness of rock mass. This paper presents a new reliability rock mass classification method based on a least squares support vector machine (LSSVM) optimized by a bacterial foraging optimization algorithm (BFOA). …”
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Optimal early endpoint for second-line or subsequent immune checkpoint inhibitors in previously treated advanced solid cancers: a systematic review by Jingqiu Li, Xiaoding Zhou, Lei Wu, Jiabao Ma, Yan Tan, Songke Wu, Jie Zhu, Qifeng Wang, Qiuling Shi

“…Quality assessment was conducted using the Cochrane tool and Newcastle–Ottawa Quality Assessment Scale for Cohort Studies for randomized controlled trials (RCTs) and non-randomized trials, respectively. …”
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Simultaneous optimization of coffee quality variables during storage by Giselle F. de Abreu, Sttela D. V. F. da Rosa, Marcelo A. Cirillo, Marcelo R. Malta, Aline C. S. Clemente, Flávio M. Borém

“…The data were submitted to the simultaneous optimization of responses for each processing and hulling condition separately, in a completely randomized design and 2 x 3 factorial scheme (two storage conditions and three storage periods). …”
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Inverse Design of Plasmonic Nanostructures Using Machine Learning for Optimized Prediction of Physical Parameters by Luana S. P. Maia, Darlan A. Barroso, Aêdo B. Silveira, Waleska F. Oliveira, André Galembeck, Carlos Alexandre R. Fernandes, Dayse G. C. Bandeira, Benoit Cluzel, Auzuir R. Alexandria, Glendo F. Guimarães

“…We used a dataset of over 140,000 entries to train the regression models CatBoost, Random Forest, and Extra Trees, capable of predicting physical parameters, such as the radius of the nanocylinder, based on the simulated optical response. …”
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Optimized wavelength selection for eggplant seed vitality classification using information acquisition techniques by Bing Yang, Xuyang Liu, Dongfang Zhang, Dongfang Zhang, Xiaofei Fan, Xiaofei Fan, Bo Peng, Jun Zhang, Jun Zhang

“…Seed vigor classification models were developed using Extreme Learning Machine (ELM), Random Forest (RF), and Support Vector Machine (SVM).The optimal classification accuracies achieved were 90.0% for ELM, 91.45% for RF, and 90.5% for SVM. …”
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Demand-Based Optimal Design of Storage Tank with Inerter System by Shiming Zhang, Ruifu Zhang, Zhipeng Zhao

“…A parameter optimal design method for a tank with an inerter system is proposed in this study based on the requirements of tank vibration control to improve the effectiveness and efficiency of vibration control. …”
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Uncertainty evaluation and model optimization in multi-source reservoir modeling by Pingshan Ma, Chengyan Lin, Haocheng liu, Shaohua Li, Shun Wang

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Optimizing Internet of Things Honeypots with Machine Learning: A Review by Stefanie Lanz, Sarah Lily-Rose Pignol, Patrick Schmitt, Haochen Wang, Maria Papaioannou, Gaurav Choudhary, Nicola Dragoni

“…Various classifiers for machine learning are analyzed to optimize honeypot architectures. This paper focuses on two types of honeypots: dynamic honeypots, which evolve to mislead attackers, and adaptive honeypots, which respond to threats in real time. …”
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Economic Dispatch of a Virtual Power Plant Considering Demand Response in Electricity Market Environment by Xin LIU, Hongbin WU, Jingjie WANG, Junhua LU

“…And furthermore, the user's power purchase behavior and response behavior are optimized by taking the user-side purchase cost as the lower objective function. …”
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Optimal intrapleural therapy with alpha-hemolytic streptococci bio-product (Mannatide) in controlling malignant pleural effusion: a clustered systematic review and meta-analysis by Yan Zhang, Xiao-Tian Zheng, Jiao Xu, Da-Chun Cai, Feng Luo, Jun Huang, Yan-Yan Jin, Teng-Yang Fan, Ji-Hong Feng, Xue Xiao, Zheng Xiao

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