Sentiment Analysis Models with Bayesian Approach: A Bike Preference Application in Metropolitan Cities by Antonino Vitetta

“…Specification, calibration, and validation made it possible to identify the relevant variables that influence sentiments and obtain the posterior distribution probability of the parameters. The prior and the posterior conditional probabilities are compared, and some indications are obtained on the elasticity and weight of the sentiments that influence the choice.…”
Get full text

Stochastic Stability Criteria for Neutral Distributed Parameter Systems with Markovian Jump by Yanbo Li, Chao-Yang Chen, Chengqun Li

“…In this model, we only need to know the absolute maximum of the state transition probability on the principal diagonal line; other transition rates can be completely unknown. …”
Get full text

A study of value iteration and policy iteration for Markov decision processes in Deterministic systems by Haifeng Zheng, Dan Wang

“…The deterministic nature of the system's transfer function plays a pivotal role, as the convergence criteria of these algorithms are deeply interconnected with the inherent characteristics of the probability function governing state transitions. For VI, convergence is contingent upon verifying that the cost difference function stabilizes to a constant $ k $ ensuring uniformity across iterations. …”
Get full text

The risk factors of dyslipidaemia and obesity incidence: Result from 2019 cohort study of NCDs in Bogor City by Dwi Cantika Aulia, Ekayanti Ikeu, Sudikno Sudikno

“…Men had an 81.3% greater probability of being free from dyslipidaemia and obesity compared to women.…”
Get full text

Determinants of Access and Farmers’ use of Information and Communication Technologies (1CTs) in Edo State, Nigeria by DN Okoedo-Okojie, FE Omoregbee

“…This poor farmers access to and use of new ICTs can limit the extent of agricultural information they can receive. The probability of respondents having high access to new ICTS was significantly related to education (b = 0.784) and farming income, (b = 0.754). …”
Get full text

PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

“…Machine learning is used to determine the most significant characteristics that play a role in the churn/retention of consumers, and with the help of machine learning it is possible to establish the probability of churn for each individual consumer. Some of the most commonly used machine learning algorithms for this issue are Logistic Regression, Gaussian Naive Bayes, Bernoulli Naive Bayes, Decision Tree, and Random Forest. …”
Get full text

Lightning Damage to Landscape Palms by Stephen H. Brown, Douglas Caldwell, Ralph Mitchell

“…Given so many strikes, the probability of damage to certain palms is significant. …”
Get full text

Analysis of Two-Layered Random Interfaces for Two Dimensional Widom-Rowlinson's Model by Jun Wang, Jiguang Shao, Bingtuan Wang

“…The phase interfaces separate two coexisting phases of the lattice Widom-Rowlinson model; when the chemical potential μ of the model is large enough, the convergence of the probability distributions which describe the fluctuations of the phase interfaces is studied. …”
Get full text

Dynamic Response of Asymmetric and Nonlinear Packaging System under Random Excitation by Song-Ping Yang, Zhi-Wei Wang

“…Next to presenting the displacement probability density functions (PDFs) of ANPSs derived through FPK equations, the influences of the excitation grades and the characteristic parameters (such as the damping, the nonlinear stiffness, and the strain) of packaging cushion materials on the response are discussed in detail. …”
Get full text

Abandon Policies for Two Types of Multiattempt Missions by Yuejiao Feng

“…When the task is important, the systems can try to execute the task multiple times after the task is abandoned and the rescue is completed, to improve the probability of task completion. This study further expands the existing research on multiple task abandon strategy by proposing degradation-based multicriteria mission abandon policies considering multiattempts and two types of task success criteria. …”
Get full text

On High-Dimensional Time-Variant Reliability Analysis with the Maximum Entropy Principle by Fuliang Zhou, Yu Hou, Hong Nie

“…This study develops a reliability analysis method that deals with high-dimensional inputs over time. The probability distribution of the structural response is reconstructed by the maximum entropy principle which is achieved by solving an optimization problem derived from the concept of relative entropy. …”
Get full text

Generalized approach for rapid entropy calculation of liquids and solids by Qi-Jun Hong, Zi-Kui Liu

“…The most arduous component to quantify, the configurational entropy, is assessed by probability analysis of the local structural arrangement and atomic distribution. …”
Get full text

Lung Neoplasm versus Diaphragmatic Hernia. A Case Report by Dayana Alomá Fortún, Iris Gonzalez Morales, María Caridad Fragoso Marchante

“…When a chest radiograph was performed, the probability of a pulmonary neoplasm was suspected. After several tests, it was concluded that the patient had a diaphragmatic hernia. …”
Get full text

Thermomechanical Fatigue of Unidirectional Carbon Fiber/Epoxy Composite in Space by Ali Anvari

“…The reason is that both thermal and mechanical cycles could cause stress concentration in the spacecraft structure. Therefore, the probability of crack initiation or propagation in the spacecraft structure increases. …”
Get full text

Joint Next-Hop/Relay Selection for Distributive Multihop Cooperative Networks by Ahmed Alkhayyat

“…The goal of JNRS is to reduce the spectral efficiency loss and outage probability. Analysis results show that JNRS can enhance the cooperative networks performance under general conditions compared to cooperative networks without the JNRS protocol.…”
Get full text

Roasting optimization of peaberry coffee beans from cherry fruits by Thiago Vasconcelos Pimenta, Rosemary Gualberto Fonseca Alvarenga Pereira, Jefferson Luiz Gomes Corrêa

“…According to the different ways of roasting, significant differences at 5% probability level were observed for the bulk density, moisture content, swelling while shade and weight loss was the same. …”
Get full text

Performance analysis of a satellite–multi-terrestrial relay network with hardware impairments using switch-and-stay combining scheme by Kefeng Guo, Bangning Zhang, Yuzhen Huang, Daoxing Guo

“…The closed-form expressions for the outage probability and throughput are derived. In order to analyze the system performance at high signal-to-noise rate, the asymptotic expressions for the system performance are also derived to give a special view on the impact of hardware impairments on the considered network. …”
Get full text

Outage Analysis of Multihop Wireless Backhaul Using Millimeter Wave under Blockage Effects by Haejoon Jung, In-Ho Lee

“…Assuming the mm-Wave wireless backhaul links suffer from outage caused by obstacles that block the line-of-sight (LoS) paths, we derive the statistics of a perhop distance based on the blockage model using stochastic geometry and random shape theory and analyze the multihop outage probability using the statistics of a perhop distance. …”
Get full text

PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

“…Machine learning is used to determine the most significant characteristics that play a role in the churn/retention of consumers, and with the help of machine learning it is possible to establish the probability of churn for each individual consumer. Some of the most commonly used machine learning algorithms for this issue are Logistic Regression, Gaussian Naive Bayes, Bernoulli Naive Bayes, Decision Tree, and Random Forest. …”
Get full text

Protection of whistleblowers in Serbia: The role and importance of whistleblowers in revealing corruption by Tanjević Nataša

“…In general, although a large number of factors are affected by the occurrence of corruption, one of the most significant is the probability of detecting corruption and finding appropriate penalties for such behavior. …”
Get full text