A New Residual Life Prediction Method for Complex Systems Based on Wiener Process and Evidential Reasoning by Xin Zhang, Shuaiwen Tang, Taoyuan Liu, Bangcheng Zhang

“…The process of parameters estimation and the probability density function (PDF) of the residual life are deduced. …”
Get full text

A simple algorithm to generate firing times for leaky integrate-and-fire neuronal model by Aniello Buonocore, Luigia Caputo, Enrica Pirozzi, Maria Francesca Carfora

“…It does not require construction of the trajectories as usually needed in simulation studies, but is based on an integral equation whose unknown quantity is the probability density function of the studied first passage times and on the application of the hazard rate method. …”
Get full text

A New Real-Time Path Planning Method Based on the Belief Space by Yu-xin Zhao, Xin-an Wu, Yan Ma

“…So an innovative approach for getting the optimized path has been realized with the fusing the BBA and the decision making by the probability distributing. Simulation results indicate that the new method is beneficial in terms of real-time local path planning.…”
Get full text

Cognitive Waveform Design for Radar-Communication Transceiver Networks by Yu Yao, Lenan Wu

“…In addition to theoretical considerations, the simulation results show an improvement in target scattering coefficient (TSC) estimation and target detection probability as the number of iterations increases, while still transmitting data rates in the range of several Mbps with low bit error rates between CRC transceivers.…”
Get full text

Two new nonrandomized response models for surveys on sensitive topics by Andreas Quatember

“…Additionally, the theory of all nonrandomized response models is developed for general probability sampling under one theoretical roof. Moreover, all these models are compared from the point of view of their respective levels of privacy protection. …”
Get full text

Blending physics with data using an efficient Gaussian process regression with soft inequality and monotonicity constraints by Didem Kochan, Xiu Yang

“…This GP model is trained by the quantum-inspired Hamiltonian Monte Carlo (QHMC) algorithm, which is an efficient way to sample from a broad class of distributions by allowing a particle to have a random mass matrix with a probability distribution. Integrating the QHMC into the inequality and monotonicity constrained GP regression in the probabilistic sense, our approach enhances the accuracy and reduces the variance in the resulting GP model. …”
Get full text

A leaky integrate-and-fire model with adaptation for the generation of a spike train by Aniello Buonocore, Luigia Caputo, Enrica Pirozzi, Maria Francesca Carfora

“…We assume that adaptation is mainly due to a calcium-activated potassium current, and we consider two coupled stochastic differential equations for which an analytical approach combined with simulation techniques and numerical methods allow to obtain both qualitative and quantitative results about asymptotic mean firing rate, mean calcium concentration and the firing probability density. A related algorithm, based on the Hazard Rate Method, is also devised and described.…”
Get full text

FRAUD RISK IN TIMES OF CRISIS AND THE DEVELOPMENT OF ITS MITIGATION TOOLS by Agnieszka Skoczylas-Tworek

“…Hence, in order to reduce the probability of occurrence and the effects of the impact of fraud risk on the organization, it is necessary to take appropriate measures and implement control mechanisms. …”
Get full text

An Energy-Efficient Transmission Protocol for RNC-Based Cooperative WSNs with Partial Energy Harvesting Nodes by Yulun Cheng, Longxiang Yang

“…The decoding failure probability is then derived to examine its transmission reliability. …”
Get full text

Network Anomaly Detection System with Optimized DS Evidence Theory by Yuan Liu, Xiaofeng Wang, Kaiyu Liu

“…To achieve high detection rate, we present a novel network anomaly detection system with optimized Dempster-Shafer evidence theory (ODS) and regression basic probability assignment (RBPA) function. In this model, we add weights for each senor to optimize DS evidence theory according to its previous predict accuracy. …”
Get full text

Habitat and Spatio-Temporal Interaction Between Green Peafowl with Cattle and Megaherbivores in Baluran National Park by Satyawan Pudyatmoko

“…This study was conducted to investigate the influence of habitat on the occupancy probability of green fowl as well as the interaction between green peafowl and free-range cattle and wild mammal in Baluran National Park. …”
Get full text

The Use of Negative Acceleration as Accessory Force during Lifting by Jordan Trafimow, Alexander S. Aruin

“…The outcome of the study suggests that enhancing the use of negative acceleration could be a strategy to improve the quality of lifting and minimize a probability of low back injury.…”
Get full text

The effect of liabilities plan and earnings performance on firm’s worth moderated by independent commissioners by Frans Lengo Boro, Fahreza Eka Yudha, Nuryaman Nuryaman

“…The research was conducted with a sample of 39 companies through non-probability sampling methods. Collected data is analyzed using descriptive analysis and verification analysis assisted by Microsoft Office Excel 2016 and Eviews 9 applications. …”
Get full text

Modeling diseases with latency and relapse by P. van den Driessche, Lin Wang, Xingfu Zou

“…For this model with ageneral probability of remaining in the exposed class, the basicreproduction number $\R_0$ is identified and its thresholdproperty is discussed. …”
Get full text

Gambaran Perilaku tentang Probiotik pada Mahasiswa Kesehatan Universitas Andalas by Hamelda Fajri Weirpa, Sovia Susianty, Susmiati

“…The research approach is descriptive, with a non-probability sampling technique based on quota sampling. …”
Get full text

Evaluating the Connectivity and Imbalance Contribution of New Sections towards Highway Network: A Complex Network Perspective by Zhiyong Wen, Xiaoxiong Weng, Pengfei Zhang

“…Therein, the complex network provides diverse attributes for sections with the dynamic edge weights. Moreover, probability betweenness centrality and volume betweenness centrality have been presented as an eigenvalue of sections based on the multilayer complex network. …”
Get full text

Fano factor estimation by Kamil Rajdl, Petr Lansky

“…All the results are illustrated for spike trainswith gamma and inverseGaussian probability distributions of interspike intervals. Finally, wediscuss possibilities of how to select a suitable observation window for the Fanofactor estimation.…”
Get full text

An Efficient Clustering Protocol for Wireless Sensor Networks Based on Localized Game Theoretical Approach by Dongfeng Xie, Qi Sun, Qianwei Zhou, Yunzhou Qiu, Xiaobing Yuan

“…The sensor nodes, which are modelled as players, join in a clustering game to campaign for cluster heads with an equilibrium probability. However, the CROSS algorithm needs the global information of how many nodes participate in the game at every round. …”
Get full text

Load-Balanced Secure Routing Protocol for Wireless Sensor Networks by Wang Xin-sheng, Zhan Yong-zhao, Wang Liang-min

“…Depending on characters of hops, the nodes can rapidly find a route among multiple optimal routes by the policy of the twice probability routing selection. Data breach is prevented by data encryption, and data security is realized by one-way hash key chain and symmetric key authentication. …”
Get full text

Interest of the Algerian diaspora for entrepreneurship in homeland: proposal of a model for its concretisation by A. Haddad, R. Lassoued

“…It appears that the probability of the project in Algeria is stronger as its leader from the Algerian diaspora has a great entrepreneurial potential and financial means, is an opportunist and patriot, benefits from the help of the state and knows how to activate, in case of difficulties, their personal contacts.…”
Get full text