List of publications

Most articles were published in journals from the first quartile (Q1) of disciplines "Artificial Intelligence", "Statistics & Probability" and "Industrial Engineering", often among the top 5%. These journals are also regularly represented in international rankings with an A/A* rating (such as in ABDC, ARC, HCERES, VHB).

2026 

• Real-time monitoring of insurance claims predictions using hybrid neuro-fuzzy control charts with applications to health insurance (with A. Yeganeh, F. Sogandi & N. Chukhrova). Machine Learning with Applications, in press.

• A hybrid model for carbon prices: integrating investor attention, mixed-frequency data, quantile regression and deep learning (with D. Sha, X. Zeng, R. Wang & K. P. Tran). Expert Systems with Applications, 315, 131421.

• Dynamic panel regression with fuzzy outputs: a two-stage estimation framework (with G. Hesamian). Systems and Soft Computing, 8, 200454.

• Carbon price interval prediction by bidirectional long short-term memory and multi-objective optimization with an asymmetric scaling approach (with D. Sha, X. Zeng, Z. He, H. Wu & K. P. Tran). Energy Reports, 15, 108989.

• A two-stage NLP-driven framework for interval-valued carbon price prediction using sentiment analysis and error correction (with D. Sha, X. Zeng, R. Wang & K. P. Tran). Journal of Forecasting, 45(2), pp. 806-818.

• Advances in symmetrical and asymmetrical distributions for modern statistics and data science (with Q. Zhu & N. Chukhrova). Symmetry, 18(1), 90.

• Machine learning-driven feature selection and anomaly detection for Bitcoin price analysis (with S. Abossedgh & A. Yeganeh). Applied Soft Computing, 188, 114382.

• Regularized quantile-based fuzzy regression with lasso penalty (with G. Hesamian & F. Torkian). Journal of Computational and Applied Mathematics, 477, 117206.

• A fuzzy multiple regression model adopted with locally weighted and interval-valued techniques (with G. Hesamian & N. Chukhrova). Journal of Computational and Applied Mathematics, 471, 116751.

2025 

• The crucial role of explainable artificial intelligence (XAI) in improving health care management (with N. Chukhrova). Health Care Management Science, 28(3), pp. 565-570.

• Explainable AI for trustworthy intelligent process monitoring (with P. Qiu, A. Yeganeh & N. Chukhrova). Computers & Industrial Engineering, 209, 111407.

• Network monitoring with machine learning methods (with P. Otto & P. Mozharovskyi). Computers & Industrial Engineering, 209, 111557.

• Enhancing system reliability under extremes: a multi-stress-strength analysis using frequentist and Bayesian approaches (with A. S. Hassan, N. Alsadat, M. Elgarhy & E. M. Almetwally). Quality and Reliability Engineering International, 41(7), pp. 2997-3014.

• A flexible distribution for capturing complex patterns in industrial data (with E. M. Almetwally, M. Elgarhy, A. S. Hassan & M. Kayid). Alexandria Engineering Journal, 126, pp. 651-667.

• Outsmarting algorithms: a comparative battle between reinforcement learning and heuristics in Atari Tetris (with J. A. Bairaktaris). Expert Systems with Applications, 277, 127251.

• Exponentially weighted moving average hypergeometric np control scheme (with Z. L. Chong., P. Castagliola, M. B. C. Khoo & N. Chukhrova). Quality and Reliability Engineering International, 41(5), pp. 1877-1894.

• A flexible soft nonlinear quantile-based regression model (with G. Hesamian & N. Chukhrova). Fuzzy Optimization and Decision Making, 24, pp. 129-153.

• Security strategies for AI systems in Industry 4.0 (with J. A. Bairaktaris & K. P. Tran). Quality and Reliability Engineering International, 41(2), pp. 897-915.

• Modeling of lifetime scenarios with non-monotonic failure rates (with A. Alahmadi, O. Albalawi, R. H. Khashab, S. Nasiru, S. M. Almarzouki & M. Elgarhy). PLOS ONE, 20(1), e0314237.

• A two-way crossed effects fuzzy panel linear regression model (with G. Hesamian). International Journal of Computational Intelligence Systems, 18, 13.

2024 

• Monitoring multistage healthcare processes using state space models and a machine learning based framework (with A. Yeganeh, N. Chukhrova & M. Rasouli). Artificial Intelligence in Medicine, 151, 102826.

• Monitoring epidemic processes under political measures (with N. Chukhrova & O. Plate). Statistics in Medicine, 43(11), pp. 2122-2160.

• Fuzzy nonlinear regression modeling with radial basis function networks (with G. Hesamian & N. Chukhrova). IEEE Transactions on Fuzzy Systems, 32(4), pp. 1733-1742.

• On arithmetic operations of LR fuzzy numbers with different shape functions (with G. Hesamian). IEEE Transactions on Fuzzy Systems, 32(11), pp. 6583-6587.

• A learning system-based soft multiple linear regression model (with G. Hesamian, F. Torkian & N. Chukhrova). Intelligent Systems with Applications, 22, 200378.

• A neural network-based ARMA model for fuzzy time series data (with G. Hesamian & N. Chukhrova). Computational and Applied Mathematics, 43, 445.

• Designing economic-statistical Hotelling's T² control charts for monitoring linear profiles under uncertainty of parameters (with M. Shojaee, S. Jafarian-Namin, S. Noori & F. Hassanvand). Journal of Statistical Computation and Simulation, 94(18), pp. 4019-4036.

• Assessing the economic-statistical performance of an attribute SVSSI np control chart based on genetic algorithms (with M. Shojaee, S. Noori, S. Jafarian-Namin & H. Rasay). Computers & Industrial Engineering, 197, 110401.

• Adaptive EWMA control charts for the Rayleigh distribution (with A. Saghir, Z. Khan & X. Hu). Computers & Industrial Engineering, 196, 110505.

• Mathematical data science with applications in business, industry, and medicine (with N. Chukhrova). Mathematics, 12(17), 2756.

• Estimation methods based on ranked set sampling for the power logarithmic distribution (with N. Alsadat, A. S. Hassan, M. Elgarhy & A. M. Gemeay). Scientific Reports, 14, 17652.

• An extended Rayleigh Weibull model with actuarial measures and applications (with M. Elgarhy & M. Kayid). Heliyon, 10(11), e32143.

• The development of an extended Weibull model with applications to medicine, industry and actuarial sciences (with M. Imran, N. Alsadat, M. H. Tahir, F. Jamal, M. Elgarhy & H. Ahmad). Scientific Reports, 14, 12338.

• Integration of production-maintenance planning and monitoring simple linear profiles via Hotelling's T² control chart and particle swarm optimization (with M. Shojaee, S. Noori & S. Jafarian-Namin). Computers & Industrial Engineering, 188, 109864.

• The partitioning ensemble control chart for online monitoring of high-dimensional image-based quality characteristics (with A. Yeganeh & N. Chukhrova). Engineering Applications of Artificial Intelligence, 127, Part B, 107282.

• Artificial intelligence algorithms for collaborative book recommender systems (with C. Tegetmeier & N. Chukhrova). Annals of Data Science, 11, pp. 1705-1739.

• An explainable fused lasso regression model for handling high-dimensional fuzzy data (with G. Hesamian & N. Chukhrova). Journal of Computational and Applied Mathematics, 441, 115721.

• A fuzzy nonparametric regression model based on an extended center and range method (with G. Hesamian, F. Torkian & N. Chukhrova). Journal of Computational and Applied Mathematics, 436, 115377.

2023 

• A monitoring framework for health care processes using generalized additive models and autoencoders (with A. Yeganeh, N. Chukhrova, M. Erfanian, M. R. Azarpazhooh & N. Morovatdar). Artificial Intelligence in Medicine, 146, 102689.

• Symmetrical and asymmetrical distributions in statistics and data science (with N. Chukhrova & Q. Zhu). Symmetry, 15(12), 2140.

• Statistical inference on quantiles of two independent populations under uncertainty (with G. Hesamian & N. Chukhrova). Soft Computing, 27, pp. 17573-17583.

• An exponential autoregressive time series model for complex data (with G. Hesamian, F. Torkian & N. Chukhrova). Mathematics, 11(19), 4022.

• A three-stage nonparametric kernel-based time series model based on fuzzy data (with G. Hesamian & N. Chukhrova). Mathematics, 11(13), 2800.

• Employing machine learning techniques for monitoring autocorrelated profiles (with A. Yeganeh, N. Chukhrova, S. A. Abbasi & F. Pourpanah). Neural Computing and Applications, 35, pp. 16321-16340.

• Employing fuzzy hypothesis testing to improve modified p charts for monitoring the process fraction nonconforming. (with N. Chukhrova). Information Sciences, 633, pp. 141-157.

• A network surveillance approach using machine learning based control charts (with A. Yeganeh, N. Chukhrova & H. Fotuhi). Expert Systems with Applications, 219, 119660.

2022 

• The effects of measurement errors on estimating and assessing the multivariate process capability with imprecise characteristic (with R. Afshari, A. Ahmadi Nadi, N. Chukhrova & K. P. Tran). Computers & Industrial Engineering, 172, Part A, 108563.

• An intelligent bankruptcy prediction model using a multilayer perceptron (with R. Brenes & N. Chukhrova). Intelligent Systems with Applications, 16, 200136.

• An ensemble neural network framework for improving the detection ability of a base control chart in non-parametric profile monitoring (with A. Yeganeh, S. A. Abbasi, F. Pourpanah, A. Shadman & N. Chukhrova). Expert Systems with Applications, 204, 117572.

• A number-between-events control chart for monitoring finite horizon production processes (with N. Chukhrova, P. Castagliola & G. Celano). Quality and Reliability Engineering International, 38(4), pp. 2110-2138.

• Two-tailed hypothesis testing for the median with fuzzy categories applied to the detection of health risks (with N. Chukhrova). Expert Systems with Applications, 192, 116362.

• The performance of the hypergeometric np chart with estimated parameter (with N. Chukhrova & P. Castagliola). European Journal of Operational Research, 296(3), pp. 873-899.

2021 

• Stochastic claims reserving methods with state space representations: a review (with N. Chukhrova). Risks, 9(11), 198.

• Efficient algorithms for calculating the probability distribution of the sum of hypergeometric-distributed random variables (with N. Chukhrova & P. Castagliola). MethodsX, 8, 101507. 

• Generalized two-tailed hypothesis testing for quantiles applied to the psychosocial status during the COVID-19 pandemic (with N. Chukhrova). International Journal of Intelligent Systems, 36(12), pp. 7412-7442.

• Kalman filter learning algorithms and state space representations for stochastic claims reserving (with N. Chukhrova). Risks, 9(6), 112.

• Non-parametric fuzzy hypothesis testing for quantiles applied to clinical characteristics of COVID-19 (with N. Chukhrova). International Journal of Intelligent Systems, 36(6), pp. 2922-2963.

• Fuzzy hypothesis testing: systematic review and bibliography (with N. Chukhrova). Applied Soft Computing, 106, 107331.

• Statistical literacy  - misuse of statistics and its consequences (with N. Chukhrova, F. Schmal & K. Stabenow). Journal of Statistics and Data Science Education, 29(1), pp. 54-62.

2020 

• Monitoring of high-yield and periodical processes in health care (with N. Chukhrova). Health Care Management Science, 23(4), pp. 619-639.

• Randomized vs. non-randomized hypergeometric hypothesis testing with crisp and fuzzy hypotheses (with N. Chukhrova). Statistical Papers, 61(6), pp. 2605-2641.

• Fuzzy hypothesis testing for a population proportion based on set-valued information (with N. Chukhrova). Fuzzy Sets and Systems, 387, pp. 127-157.

• Generalized one-tailed hypergeometric test with applications in statistical quality control (with N. Chukhrova). Journal of Quality Technology, 52(1), pp. 14-39.

• Die Relevanz von Journal-Rankings im Fach Statistik an wirtschaftswissenschaftlichen Fakultäten aus Sicht zweier Nachwuchswissenschaftler (with N. Chukhrova). AStA – Wirtschafts- und Sozialstatistisches Archiv, 14(1), pp. 99-102.

2019 

• Fuzzy regression analysis: systematic review and bibliography (with N. Chukhrova). Applied Soft Computing, 84, 105708.

• Hypergeometric p chart with dynamic probability control limits for monitoring processes with variable sample and population sizes (with N. Chukhrova). Computers & Industrial Engineering, 136, pp. 681-701.

• Improved control charts for fraction non-conforming based on hypergeometric distribution (with N. Chukhrova). Computers & Industrial Engineering, 128, pp. 795-806.

• Improved binomial and poisson approximations to the type-A operating characteristic function (with N. Chukhrova). International Journal of Quality & Reliability Management, 36(4), pp. 620-652.

2018 

• Inspection tables for single acceptance sampling with crisp and fuzzy quality limits (with N. Chukhrova). International Journal of Quality & Reliability Management, 35(9), pp. 1755-1791.

• Robustifizierung des Chain-Ladder-Verfahrens über ein skalares Zustandsraummodell (with N. Chukhrova). Zeitschrift für die gesamte Versicherungswissenschaft, 107(1), pp. 61-83.

2017 

• State space models and the Kalman filter in stochastic claims reserving: forecasting, filtering and smoothing (with N. Chukhrova). Risks, 5(2), 30.