A non-autonomous stochastic predator-prey model by Aniello Buonocore, Luigia Caputo, Enrica Pirozzi, Amelia G. Nobile

“…The aim of this paper is to consider a non-autonomous predator-prey-like system, with a Gompertz growth law for the prey.By introducing random variations in both prey birth and predator death rates,a stochastic model for the predator-prey-like system in a random environment is proposed and investigated.The corresponding Fokker-Planck equation is solved to obtain the joint probability density for the prey and predator populations and the marginal probability densities.The asymptotic behavior of the predator-prey stochastic model is also analyzed.…”
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RELIABILITY ANALYSIS FOR VIBRATION STABILITY OF DISC BRAKE SYSTEM WITH THЕ HYBRID PARAMETERS by HE Ning, ZHANG DeLong, ZHANG QingHua

“…In view of the brake squeal suppression problem of automotive disc brakes during braking, the effects of brake imbalance and uncertainty in brake parameters, a stability and reliability analysis method of disc brake with the hybrid parameters was proposed by combining response surface methodology, finite element method, and reliability analysis theory. In this method . random, uncertain interval and fuzzy parameters were used to describe the dynamie characteristies of the brake system, and an unstable order response surface agent model of the disc brake system was established including random parameters, uncertain interval parameters and fuzzy parameters. …”
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Stego on FPGA: An IWT Approach by Balakrishnan Ramalingam, Rengarajan Amirtharajan, John Bosco Balaguru Rayappan

“…A reconfigurable hardware architecture for the implementation of integer wavelet transform (IWT) based adaptive random image steganography algorithm is proposed. …”
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Convergence Rates in the Law of Large Numbers for Arrays of Banach Valued Martingale Differences by Shunli Hao

“…In the special case where the array of Banach valued martingale differences is the sequence of independent and identically distributed real valued random variables, our result contains the theorems of Hsu-Robbins-Erdös (1947, 1949, and 1950), Spitzer (1956), and Baum and Katz (1965). …”
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A Detection Algorithm for the BOC Signal Based on Quadrature Channel Correlation by Bo Qian, Guolei Zheng, Yongxin Feng

“…In order to solve the problem of detecting a BOC signal, which uses a long-period pseudo random sequence, an algorithm is presented based on quadrature channel correlation. …”
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Antibiotic cycling versus mixing: The difficulty of using mathematicalmodels to definitively quantify their relative merits by Robert E. Beardmore, Rafael Peña-Miller

“…As a result, we agree with the tenet of Bonhoefer et al. [1] that one should not apply the results of [2] to conclude that an antibiotic cycling policy that implements cycles of drug restriction and prioritisation on an ad-hoc basis can select against drug-resistant microbial pathogens in a clinical setting any better than random drug use. However, nor should we conclude that a random, per-patient drug-assignment protocol is the de facto optimal method for allocating antibiotics to patients in any general sense.…”
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Importance of Distribution Type on Bearing Capacity of an Embedded Foundation in Spatially Varying Soils by Jiwei Han, Xiaoming Liu, Yongxin Wu, Xuhui Zhou

“…The nonstationary undrained shear strength is simulated by a nonstationary random field generator based on the spectral representation method. …”
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Persistent homology based topological analysis on the gestalt patterns during human brain cognition process by Zaisheng LIU, Fei NI, Rongpeng LI, Honggang ZHANG, Chang LIU, Jiefang ZHANG, Songyun XIE

“…The integrated development of information communication technology and neuroscience heralds the possibility and great potential of brain-to-brain wireless communication(B2BC).The physiologically meaningful features of brain responses were extracted to different contour and shape in images in Gestalt cognitive tests by combining persistent homology analysis with electroencephalogram (EEG).The experimental results show that more brain regions in the frontal lobe were involved when the subject perceives the random and disordered combination of images compared to the ordered Gestalt images.Meanwhile, the persistence entropy of EEG data evoked by random sequence diagram (RSD) was observed to be significantly different from that by the ordered Gestalt images(GST) in several frequency bands, which indicated that human cognition of shapes and contours, such as a preliminary advanced cognition process, could be separated to some extent through topological analysis.This method can digitize the neural signals while preserving the whole and local features of the original signals.In general, the cognitively related neural correlates by persistent homology features of EEG signal are revaluated and quantified, which provides an approach to realize the digitization of neural signals in brain-to-brain wireless communication.…”
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Asymptotic behavior of the empirical checkerboard copula process for binary data: An educational presentation by Christian Genest, Johanna G. Nešlehová

“…The purpose of this note is to provide a detailed description of this asymptotic result and to derive an expression for the limit of the process in the simplest possible case in which the data form a random sample of pairs of Bernoulli random variables. …”
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Driving MSME performance: exploring the influence of entrepreneurial orientation and business independence by Naidah Naidah, Muhammad Rusydi, Syarifuddin Sulaiman, Buyung Romadhoni, Muryani Arsal

“…The sampling method is probability sampling with simple random sampling technique, namely proportional random sampling for each business sector. …”
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Reforming Real Estate Valuation for Financial Auditors With AI: An In-Depth Exploration of Current Methods and Future Directions by Silviu-Ionut BABTAN

“…This article examines several AI methods – Regression Models, Decision Trees, Random Forests, Artificial Neural Networks, and XGBoost – and explores their applications for improving property valuation accuracy and efficiency, with implications for other professions involved, e.g. audit. …”
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The Contribution of the Dorsolateral Prefrontal Cortex in Full and Divided Encoding: A Paired-Pulse Transcranial Magnetic Stimulation Study by Sophie Blanchet, Geneviève Gagnon, Cyril Schneider

“…These effects were found for both words and random shapes. These results suggest that the right DLPFC play an important role in successful encoding with a concomitant task regardless of the type of material.…”
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VB-Based Gaussian Sum Cubature Kalman Filter for Adaptive Estimation of Unknown Delay and Loss Probability by Ruipeng Wang, Xiaogang Wang, Haojie Zhang

“…Therefore, a variational Bayesian- (VB-) based Gaussian sum cubature Kalman filter is proposed to solve the nonlinear tracking problem of multistep random measurement delay and loss (MRMDL) with unknown probability. …”
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Improved Finite Control Set Optimal Control for PMSM in Rocket Launcher Servo System by Di-fen Shi, Yuan-long Hou, Xiao-hui Gu, Run-min Hou

“…Simulation shows that compared with conventional FCSOC, IFCSOC exhibits better robustness under random disturbances. Furthermore, the semiphysical experiment is conducted to verify the proposed IFCSOC strategy.…”
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Machine Learning–Based Predictive Farmland Optimization and Crop Monitoring System by Marion Olubunmi Adebiyi, Roseline Oluwaseun Ogundokun, Aneoghena Amarachi Abokhai

“…This study provided a machine learning–aided mobile system for farmland optimization, using various inputs such as location, crop type, soil type, soil pH, and spacing. Random forest algorithm and BigML were employed to analyze and classify datasets containing crop features that generated subclasses based on random crop feature parameters. …”
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Developing a Ship Collision Risk Assessment Model with Internal and External Factors: Focused on South Korea Maritime Environment by Sangwon Park, Jiho Yeo, Kyonghan Lee

“…External risk factors were established using a random forest model based on historical collision data. …”
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Damage evaluation under complex fatigue loading conditions by L. Reis, J. Caxias, H. Soares, P. R. Costa, V. Anes, M. Freitas

“…Fatigue tests were carried out with three different variable amplitude random loadings, applied to several specimens made from a 42CrMo4 high-strength steel. …”
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Time-Delayed Acceleration Feedback Control of a Single-Link Flexible Manipulator Using Kalman Filter by Yuming Huang, Weidong Chen, Minqiang Shao

“…The dynamical model of a single-link flexible manipulator system is presented by the adoption of the finite element method and Lagrange’s equation. Based on the random-walk process and the discrete reduction method, an augmented discretized delay-free state derivate space equation containing the random noise is established. …”
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Research on meaningful image encryption algorithm based on 2-dimensional compressive sensing by Hua REN, Shaozhang NIU, Ruyong REN, Zhen YUE

“…Aiming at the problems that the existing compressive sensing-based meaningful image encryption algorithms have low visual security of the encrypted images and poor quality of the reconstructed images, a 2-dimensional compressive sensing-based (2DCS) meaningful image encryption algorithm was proposed.Firstly, a chaotic pseudo-random sequence generation method associated with plaintext was designed, and the global random permutation and grayscale transformation operations were used for pre-encryption to improve the decrypted image quality.The generated pre-encrypted image was used as the input for 2DCS, and the secret image was generated after the compression encryption and quantization operations.Secondly, the relationship between the hidden and the modified data was considered, and an adaptive embedding method was adopted to modify the carrier coefficient values to improve the visual security of meaningful encrypted image.Finally, the 2-dimensional projection gradient reconstruction method was adopted to decompress and decrypt to obtain the decrypted image.The experimental results show that, compared with the existing algorithms, the proposed algorithm not only improves the visual security of encrypted image and the quality of reconstructed image, but also can resist noise and cropping attacks.…”
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Antiviral therapy can effectively suppress irAEs in HBV positive hepatocellular carcinoma treated with ICIs: validation based on multi machine learning by Shuxian Pan, Zibing Wang

“…The accuracy of the Lasso regression model was 0.864, XGBoost achieved 0.903, and RandomForest reached 0.961. Resampling internal validation revealed that RandomForest had the highest recall rate (AUC = 0.892). …”
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