Noise Radar Technology as an Interference Prevention Method by Gaspare Galati, Gabriele Pavan

“…In addition to being orthogonal as much as possible, the random signals to be transmitted have to satisfy requirements concerning side lobe level and crest factor, calling for novel, original design and generation processes.…”
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The Optimal Strategies of Risk-Averse Newsvendor Model for a Dyadic Supply Chain with Financing Service by Jianxin Chen

“…The budget-constrained retailer as a newsvendor faces a nonnegative random demand and the financial institution provides the loan service for the retailer who is risk-averse. …”
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Survival analysis of COVID-19 versus non-COVID-19 patients requiring intensive care for acute respiratory distress syndrome: An observational retrospective study by Paulo Navas Boada, Kevin Chamorro, Santiago Ballaz

“…The survival analysis was completed with Kaplan-Meier and the log-rank tests. # Results A Random Forest model revealed that mechanical ventilation-related factors, oxygenation, blood pH, superinfection, shock, and ICU length of stay have the greatest effects on ICU survival. …”
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Research on Word Vector Training Method Based on Improved Skip-Gram Algorithm by Yachun Tang

“…In the training process, the random gradient descent method is used to solve the vector representation of each word and each Chinese character. …”
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Non-Gaussian Linear Mixing Models for Hyperspectral Images by Peter Bajorski

“…In this paper, we recognize that the presence of major materials in the image scene is likely to exhibit nonrandomness and only the remaining variability due to noise, or other factors, would exhibit random behavior. Hence, we assume a linear mixing model with a structured background, and we investigate various distributional models for the error term in that model. …”
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IRS-assisted full-duplex ISAC system beamforming design by LIU Qilie, WANG Long, XIN Yanan, FANG Jiacheng, CHEN Qianbin, TAO Yu

“…Simulation results show that the proposed scheme resulted in an 89.02% enhancement under the communication performance indicators considered compared to the corresponding half-duplex scheme and a 70.15% improvement over the random IRS scheme.…”
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Recurrences Reveal Shared Causal Drivers of Complex Time Series by William Gilpin

“…As the amount of data increases, a percolation transition on this graph leads to weak ergodicity breaking for random walks—revealing the shared driver’s dynamics, even from strongly corrupted measurements. …”
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Stochastic Portfolio Selection Problem with Reliability Criteria by Xiangsong Meng, Lixing Yang

“…This paper particularly considers a portfolio selection process in the stochastic environment, where the return parameters are characterized by sample-based correlated random variables. To decrease the decision risks, three evaluation criteria are proposed to generate the reliable portfolio selection plans, including max-min reliability criterion, percentile reliability criterion, and expected disutility criterion. …”
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Modelling and Simulation on Penetration into Stone Concrete by He Huang, Duo Zhang, Lirong Cheng

“…Besides, the numerical model of stone concrete is established based on 3D Voronoi diagram according to the random characteristics of the shape and spatial distribution of stones in concrete. …”
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Modeling the Interaction Networks about the Climate Change on Twitter: A Characterization of its Network Structure by Mary Luz Mouronte-López, Marta Subirán

“…We also find that the process of emergence of new links in the interaction networks can be properly modeled (with high accuracy) through a Support Vector Machine model using the embeddings provided by the Node2Vec algorithm. A Random Forest model using certain similarity measures as explanatory variables between nodes also provides high accuracy. …”
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Reliability Analysis of Damaged Beam Spectral Element with Parameter Uncertainties by M. R. Machado, J. M. C. Dos Santos

“…Numerical examples in a bending vibrating beam with random parameters are performed to verify the computational efficiency of the present study.…”
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PENGARUH STRATEGI TV COMMERCIAL TERHADAP HASIL BELAJAR AFEKTIF MATA PELAJARAN PAI DAN BUDI PEKERTI SISWA KELAS 8 DI SMP NEGERI 5 YOGYAKARTA by Izmi Rafi Hamdini, Eva Latipah

“… TV Commercial Strategy is a learning strategy by forming a team in random based on the number of the students in a classroom that are assigned to create a TV Commercial or other forms of advertisements that is relevant to the learning materials. …”
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Incorporating causal notions to forecasting time series: a case study by Werner Kristjanpoller, Kevin Michell, Cristian Llanos, Marcel C. Minutolo

“…Our results show that the proposed methodology outperforms classic econometric approaches such as ARIMA and Random Walk, as well as machine learning approaches without the proposed methodology. …”
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Analytical evaluation of geometric dilution of precision for three-dimensional angle-of-arrival target localization in wireless sensor networks by Jiao Zhang, Jianfeng Lu

“…Finally, several examples are used to illustrate our results, and it is shown that the performance of the proposed regular deployment configurations of angle-of-arrival sensors is better than the one with random deployment patterns.…”
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Machine learning-driven insights into ctDNA for oral cancer: Applications, models, and future prospects by Dheeraj Kumar, Saraswati Patel

“…We highlight the integration of advanced machine learning (ML) models—Support Vector Machines (SVM), Random Forests (RF), Artificial Neural Networks (ANN), and Convolutional Neural Networks (CNN)—in ctDNA detection and analysis. …”
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Notes from the Packaging Laboratory: Hot Tack Measurements of Thin Sealant Films by Kenneth R. Berger, Matthew Knoelke, Bruce Welt

“…Unexpectedly, edge effects, namely a regular sine wave pattern and a generally random irregular edge had little influence on hot tack results. …”
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Pathloss Model of Distance Independent for Indoor Area by Rumin Yang, Qiyi Dai, Chengbo Yu

“…A pure statistical indoor path-loss model was proposed with an eye to address the problems of distance dependence and of line-of-sight（LOS）or non-LOS uncertainty，which lie in most conventional path-loss models.In the model，the path length（distance）was taken as a random variable，and the uncertainty of LOS or NLOS was represented by an alternating frequency between LOS and non-LOS channel conditions.Without knowing the priori path length，the model can estimate or predict the loss of path based on the priori knowledge of the radius of operating space，of the LOS/NLOS alternating frequency and of a confidence interval describing the path quality.In addition，three quality of services（QoS）for different quality requirements were proposed in order to conserve energy.As opposed to assuming fixed available power or covering the largest possible distance，which is typical in conventional models，the QoS-oriented model has significant advantages on resource allocation and energy conservation.Through a case study，it is indicated that this model is simple and practical.…”
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Improved fish swarm algorithm based on chaos and its application in abnormal detection of industrial control network by Yaping WU, Hongzhao DONG, Yingying LIN, Jing LIU

“…Artificial fish swarm algorithm as a new type of bionic swarm intelligence optimization algorithm has been successfully used in a variety of optimization problems and practical engineering field,but when faced with the complex optimization problems,especially the multiple extreme value of peak and multimodal function optimization problems,due to the objective function has many local minima,inevitably there are defects such as premature and slow convergence speed.The random and ergodic theory was introduced into the basic artificial fish swarm algorithm,and an improved algorithm was constructed to make artificial fish swarm search avoid possible local extremum.The effectiveness of the algorithm was validated in the simulation application in industrial control network anomaly detection.Compared with the basic artificial fish school algorithm,the chaos improved artificial fish swarm algorithm can effectively avoid the long-term search of the algorithm near the local extreme value.The algorithm has better performance in terms of global convergence and the search efficiency is more prominent.…”
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Scalable PBFT-like algorithm for trust management of degree/graduation certificates by ZHANG Xuewang, LEI Zhitao, LIN Jinzhao

“…Local consensus was employed within the sub-regions. A weighted random allocation strategy based on TOPSIS modeling and entropy weighting was used to evaluate node performance and select a consensus committee node set. …”
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Encapsulation structure and dynamics in hypergraphs by Timothy LaRock, Renaud Lambiotte

“…We then turn to the impact of the observed structural patterns on diffusive dynamics, focusing on a variant of threshold models, called encapsulation dynamics, and demonstrate that non-random patterns can accelerate the spreading in the system.…”
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