Dr Zhibao Mian's Outputs (25)

An Ordinal Collaboration Network Model with Zero Truncated Poisson Latent Variables and Its Application (2025)
Journal Article
Yang, Q., Tian, Y.-Z., Zhang, Y.-J., Wang, Y., & Mian, Z. (2025). An Ordinal Collaboration Network Model with Zero Truncated Poisson Latent Variables and Its Application. Stat, 14(1), Article e70040. https://doi.org/10.1002/sta4.70040

Link prediction has traditionally been regarded as a binary classification problem, aiming to predict whether a link exists between two nodes in a given network. However, this binary framework fails to account for the cooperation intensity or the div... Read More about An Ordinal Collaboration Network Model with Zero Truncated Poisson Latent Variables and Its Application.

Sequence Outlier Detection and Application of Gated Recurrent Unit Autoencoder Gaussian Mixture Model Based on Various Loss Optimization (2025)
Journal Article
Xu, T., Tian, Y., Wu, C., & Mian, Z. (2025). Sequence Outlier Detection and Application of Gated Recurrent Unit Autoencoder Gaussian Mixture Model Based on Various Loss Optimization. Statistical Analysis and Data Mining, 18(1), Article e70001. https://doi.org/10.1002/sam.70001

In the era of big data, detecting outliers in time series data is crucial, particularly in fields such as finance and engineering. This article proposes a novel sequence outlier detection method based on the gated recurrent unit autoencoder with Gaus... Read More about Sequence Outlier Detection and Application of Gated Recurrent Unit Autoencoder Gaussian Mixture Model Based on Various Loss Optimization.

Analysis of the influencing factors of the trade potential between countries along the ‘Belt and Road’ and China: a study based on spatial panel data model (2025)
Journal Article
Zhang, F. L., Tian, Y., Lam, L. K., & Mian, Z. (online). Analysis of the influencing factors of the trade potential between countries along the ‘Belt and Road’ and China: a study based on spatial panel data model. Enterprise Information Systems, https://doi.org/10.1080/17517575.2024.2448315

In 2013, China launched a cooperative initiative to build the “Silk Road Economic Belt” and the “21st Century Maritime Silk Road”. Based on the data of import and export trade between 57 countries along the “Belt and Road” and China from 2010 to 2021... Read More about Analysis of the influencing factors of the trade potential between countries along the ‘Belt and Road’ and China: a study based on spatial panel data model.

A new class of zero-truncated counting models and its application (2024)
Journal Article
Tang, X. P., Tian, Y. Z., Wu, C. H., Wang, Y., & Mian, Z. B. (2024). A new class of zero-truncated counting models and its application. Communications in Statistics - Simulation and Computation, https://doi.org/10.1080/03610918.2024.2384561

Count data is a type of data derived from the number of times an event occurs per unit of time, and zero-truncated count data refers to count data without zero, which often appears in various fields. In this paper, a new zero-truncated Bell (ZTBell)... Read More about A new class of zero-truncated counting models and its application.

An empirical analysis of agricultural and rural carbon emissions under the background of rural revitalization strategy–based on machine learning algorithm (2024)
Journal Article
Niu, X. Y., Tian, Y. Z., Tang, M. L., & Mian, Z. B. (2024). An empirical analysis of agricultural and rural carbon emissions under the background of rural revitalization strategy–based on machine learning algorithm. Air Quality, Atmosphere and Health, https://doi.org/10.1007/s11869-024-01606-2

Agricultural and rural carbon (ARC) emissions are a major source of greenhouse gas emissions in China and have profound implications for implementing the rural revitalization strategy. This study takes Shandong Province, a leading agricultural provin... Read More about An empirical analysis of agricultural and rural carbon emissions under the background of rural revitalization strategy–based on machine learning algorithm.

Air Quality Forecasting and Rating Based On Machine Learning Algorithm and Cumulative Logit Model - An Empirical Study For Lanzhou City of China (2024)
Journal Article
Xu, T., Tian, Y., Cai, X. R., Wu, C.-H., & Mian, Z. (in press). Air Quality Forecasting and Rating Based On Machine Learning Algorithm and Cumulative Logit Model - An Empirical Study For Lanzhou City of China. Environment, Development and Sustainability,

Optimizing soybean biofuel blends for sustainable urban medium-duty commercial vehicles in India: an AI-driven approach (2024)
Journal Article
Rajak, U., Chaurasiya, P. K., Verma, T. N., Dasore, A., Ağbulut, Ü., Meshram, K., Saleel, C., Saboor, S., Cuce, E., & Mian, Z. (2024). Optimizing soybean biofuel blends for sustainable urban medium-duty commercial vehicles in India: an AI-driven approach. Environmental science and pollution research, https://doi.org/10.1007/s11356-024-33210-3

This article presents the outcomes of a research study focused on optimizing the performance of soybean biofuel blends derived from soybean seeds specifically for urban medium-duty commercial vehicles. The study took into consideration elements such... Read More about Optimizing soybean biofuel blends for sustainable urban medium-duty commercial vehicles in India: an AI-driven approach.

Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization (2024)
Journal Article
Tian, Y.-Z., Wu, C.-H., Tai, L.-N., Mian, Z., & Tian, M.-Z. (2024). Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization. Statistical Analysis and Data Mining, 17(2), Article e11683. https://doi.org/10.1002/sam.11683

Ordinal data frequently occur in various fields such as knowledge level assessment, credit rating, clinical disease diagnosis, and psychological evaluation. The classic models including cumulative logistic regression or probit regression are often us... Read More about Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization.

Computation Tree Logic Model Checking of Multi-Agent Systems Based on Fuzzy Epistemic Interpreted Systems (2024)
Journal Article
Li, X., Ma, Z., Mian, Z., Liu, Z., Huang, R., & He, N. (2024). Computation Tree Logic Model Checking of Multi-Agent Systems Based on Fuzzy Epistemic Interpreted Systems. Computers, Materials & Continua, 78(3), 4129-4152. https://doi.org/10.32604/cmc.2024.047168

Model checking is an automated formal verification method to verify whether epistemic multi-agent systems adhere to property specifications. Although there is an extensive literature on qualitative properties such as safety and liveness, there is sti... Read More about Computation Tree Logic Model Checking of Multi-Agent Systems Based on Fuzzy Epistemic Interpreted Systems.

Assessing the Impact of Usability from Evaluating Mobile Health Applications (2024)
Journal Article
Busari, A., Jaber, T., Gordon, N., & Mian, Z. (2024). Assessing the Impact of Usability from Evaluating Mobile Health Applications. International Journal on Engineering Technologies and Informatics, 5(2), https://doi.org/10.51626/ijeti.2024.05.00074

Software applications that are used to monitor, track, and improve health are called Mobile Health Applications or mHAs. They are developed with or without the help of medical professionals to potentially aid health, achieve health goals and improve... Read More about Assessing the Impact of Usability from Evaluating Mobile Health Applications.

Application of Machine Learning Techniques for the Prediction of Heart Disease (2024)
Journal Article
Owodunni, A. A., Jaber, T., & Mian, Z. (2024). Application of Machine Learning Techniques for the Prediction of Heart Disease. Acta Scientific Computer Sciences, 6(3), 13-23

As important as the heart is to humans, unfortunately, 43% of death is from heart disease [2] declared by Global Burden of Disease research. By 2030, deaths from cardiovascular disease will reach 23.6 million where heart disease takes the lead [3]. A... Read More about Application of Machine Learning Techniques for the Prediction of Heart Disease.

A literature review of fault diagnosis based on ensemble learning (2023)
Journal Article
Mian, Z., Deng, X., Dong, X., Tian, Y., Cao, T., Chen, K., & Jaber, T. A. (2024). A literature review of fault diagnosis based on ensemble learning. Engineering applications of artificial intelligence, 127, Article 107357. https://doi.org/10.1016/j.engappai.2023.107357

The accuracy of fault diagnosis is an important indicator to ensure the reliability of key equipment systems. Ensemble learning integrates different weak learning methods to obtain stronger learning and has achieved remarkable results in the field of... Read More about A literature review of fault diagnosis based on ensemble learning.

IoP System Dependability Evaluation Method Based on AADL (2022)
Journal Article
Shi, X., Mian, Z., & Gao, Y. (2022). IoP System Dependability Evaluation Method Based on AADL. Jisuanji Gongcheng/Computer Engineering, 48(1), 204-213. https://doi.org/10.19678/j.issn.1000-3428.0059738

The Internet of People(IoP)is characterized by the complex architecture and massive changing data, which adds to the difficulty of the analysis on IoP-based system dependability.Currently, there is still no robust dependability modelling and analysis... Read More about IoP System Dependability Evaluation Method Based on AADL.

Research on College Computer-Computing and Information Literacy online course based on MOOC: Taking the North Minzu University as an example (2021)
Presentation / Conference Contribution
Mian, Z., Bai, Y., & Ur, R. K. (2022, June). Research on College Computer-Computing and Information Literacy online course based on MOOC: Taking the North Minzu University as an example. Presented at 2021 IEEE 3rd International Conference on Computer Science and Educational Informatization (CSEI), Xinxiang, China

In 2015, North Minzu University (NMU) introduced MOOC teaching method into the teaching practice of computer major. It is the first experiment of this teaching method in Ningxia Hui Autonomous Region. In the three years of teaching practice, NMU has... Read More about Research on College Computer-Computing and Information Literacy online course based on MOOC: Taking the North Minzu University as an example.

A Model-based RCM Analysis Method (2020)
Presentation / Conference Contribution
Mian, Z., Jia, S., Shi, X., Tang, C., Chen, J., & Gao, Y. (2020, December). A Model-based RCM Analysis Method. Presented at 2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C), Macau, China

The reliability-centered maintenance (RCM) is one of the most advanced maintenance plan generating technologies for equipments. At present, the key technologies such as FMEA and FMECA supporting the RCM analysis remains in the manual stage in some en... Read More about A Model-based RCM Analysis Method.

Effect of IDT position parameters on SAW yarn tension sensor sensitivity (2020)
Journal Article
Lei, B., Lu, W., Mian, Z., & Bao, W. (2020). Effect of IDT position parameters on SAW yarn tension sensor sensitivity. Measurement and Control, 53(9-10), 2055-2062. https://doi.org/10.1177/0020294020965620

In this paper, the effect of the interdigital transducer (IDT) position parameters on the surface acoustic wave (SAW) yarn tension sensor sensitivity is investigated. The stress–strain characteristic of substrate was studied by the combination of fin... Read More about Effect of IDT position parameters on SAW yarn tension sensor sensitivity.

Semantic Mapping for Model Transformation between AADL2 and HiP-HOPS (2020)
Presentation / Conference Contribution
Mian, Z., Gao, Y., Shi, X., & Tang, C. (2019, November). Semantic Mapping for Model Transformation between AADL2 and HiP-HOPS. Presented at 2019 4th International Conference on System Reliability and Safety, ICSRS 2019, Rome, Italy

Currently, AADL has gradually become as one of the standards for the architecture design of complex embedded system. It is widely used in aerospace, automotive electronics and other fields for the design and analysis of high dependability-critical sy... Read More about Semantic Mapping for Model Transformation between AADL2 and HiP-HOPS.

A Cost Modeling Method Based on AADL2 (2020)
Presentation / Conference Contribution
Mian, Z., Tang, C., Gao, Y., Jia, S., Shi, X., & Chen, J. (2019, November). A Cost Modeling Method Based on AADL2. Presented at 2019 4th International Conference on System Reliability and Safety, ICSRS 2019, Rome, Italy

The Architecture Analysis and Design Language (AADL) is widely used in the modeling, analysis and verification of the dependability-critical system. Previously, we have implemented the multi-objective (based on dependability and cost) architecture op... Read More about A Cost Modeling Method Based on AADL2.

Model transformation for analyzing dependability of AADL model by using HiP-HOPS (2019)
Journal Article
Mian, Z., Bottaci, L., Papadopoulos, Y., & Mahmud, N. (2019). Model transformation for analyzing dependability of AADL model by using HiP-HOPS. Journal of Systems and Software, 151, 258-282. https://doi.org/10.1016/j.jss.2019.02.019

The Architecture Analysis and Design Language (AADL) has emerged as a potential future standard in aerospace, automobile and avionics industries for model-based development of dependability-critical systems. As AADL is relatively new, some existing a... Read More about Model transformation for analyzing dependability of AADL model by using HiP-HOPS.

A dependability modeling and analysis approach for an IoP-based service system (2018)
Presentation / Conference Contribution
Mian, Z., Bottaci, L., Jiang, J., He, J., Yu, Q., & Wang, X. (2018, October). A dependability modeling and analysis approach for an IoP-based service system. Presented at 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), Guangzhou, China

The increasing use of the internet of people (IoP) based service systems has the potential to bring about substantial benefits to individuals. An IoP-based service system includes components such as cell phones, wearable devices, smart homes, cars et... Read More about A dependability modeling and analysis approach for an IoP-based service system.