Parametrization of the attainable set for a nonlinear control model of a biochemical process by Ellina Grigorieva, Evgenii Khailov, Andrei Korobeinikov

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3D Parametric Modelling based on Point Cloud for the Interpretation of the Archaeological Remains by Fausta Fiorillo, Corinna Rossi

“…The ensuing 3D modelling allows a morphological/geometric analysis and an interpretation/classification of the architectonic proprieties (features typologies and styles). An interesting application is adopting parametric modelling to study the modular features and repetitive architectural elements and to define an interpretative geometrical model. …”
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Parametric Optimization for Fully Fuzzy Linear Programming Problems with Triangular Fuzzy Numbers by Aliviya Bhowmick, Snehashish Chakraverty, Subhashish Chatterjee

“…This paper presents a new approach for solving FFLP problems using a double parametric form (DPF), which is critical in decision-making scenarios characterized by uncertainty and imprecision. …”
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YOLOv8 forestry pest recognition based on improved re-parametric convolution by Lina Zhang, Shengpeng Yu, Bo Yang, Shuai Zhao, Ziyi Huang, Zhiyin Yang, Helong Yu

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Survival Analysis and Hazard of Log Logistic Distribution on Type I Censored Data Parametrically by Ardi Kurniawan, Ruth Hosana, Ni Wayan Widya Septia Sari

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Stability and adaptability analyses to identify suitable high-yielding maize hybrids using PBSTAT-GE by Azrai Muhammad, Farid Muh., Nur Amin, Efendi Roy, Salengke Salengke, Musa Yunus, Patandjengi Baharuddin, Kuswinanti Tutik, Thamrin Sulaeha, Suwarno Willy Bayuardi, Andayani Nining Nurini, Zainuddin Bunyamin, Mirsam Hishar, Priyanto Slamet Bambang, Suriani Suriani, Fadhli Nur, Anshori Muhammad Fuad

“…The max–min standardization-based accumulation index can combine parametric stability-based assessment, non-parametric stability, and productivity potential of a genotype. …”
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Parametric optimization of the slot waveguide characteristics using a machine-learning approach by Yadvendra Singh, Suraj Jena, Harish Subbaraman

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Sediment classification in a Brazilian reservoir: Pros and cons of parametric low frequencies by Klajdi Sotiri, Stephan Hilgert, Stephan Fuchs

“…The advantages of parametric systems, such small directivity and layering effect, represent the major restrictions in sediment classification applications. …”
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A Family of Bayesian Estimators for the Two-Parametric Burr Type II Distribution by R. Alshenawy, Navid Feroze, Ali Al-Alwan, Mahreen Saleem, Sahidul Islam

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Parametric study for epoxy loaded PMMA microcapsules using Taguchi and ANOVA methods by S. Sharma, V. Choudhary

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Dispatch Instruction Disaggregation for Virtual Power Plants Using Multi-Parametric Programming by Zhikai Zhang, Yanfang Wei

“…However, existing methods for VPP dispatch instruction disaggregation often require solving complex optimization problems for each instruction, posing challenges for real-time applications. To address this issue, we propose a multi-parametric programming-based method that yields an explicit mapping from any given dispatch instruction to an optimal DER-level deployment strategy. …”
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Robust Dynamic Control for Electric Vehicles With Estimation of Parametric Uncertainties and External Disturbances by Cuauhtemoc Acosta Lua, Stefano Di Gennaro, Ariadna Berenice Flores Jimenez, Antonio Navarrete Guzman

“…This paper demonstrates how integrating the AFS system and RTV within the framework of integral control ensures that the vehicle can accurately track a predetermined trajectory, even in the presence of environmental disturbances, parametric uncertainties, or unmodeled dynamics. However, the proposed control strategy relies on precise information from the EV, particularly lateral velocity, which is challenging to measure directly in practical applications. …”
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Sb-PiPLU: A Novel Parametric Activation Function for Deep Learning by Ayan Mondal, Vimal K. Shrivastava, Ayan Chatterjee, Raghavendra Ramachandra

“…Its piecewise, parametric design allows for greater adaptability and flexibility, which in turn enhances overall model performance. …”
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Human-based metaheuristics and non-parametric learning for groundwater-prone area mapping by Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Seyedeh Zeinab Shogrkhodaei, Biswajeet Pradhan, Soo-Mi Choi

“…This research underscores the effectiveness of integrating human-based metaheuristics with non-parametric learning to improve predictive modeling in environmental applications.…”
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Semi-analytical approach for solving the mathematical model of solid-phase diffusion in electrodes: An application of modified differential transform method by Shivaranjini S, Neetu Srivastava

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Future Prediction for Tax Complaints to Turkish Ombudsman by Models from Polynomial Regression and Parametric Distribution by Mehmet Niyazi Çankaya, Murat Aydın

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Efficient Finite-Difference Estimation of Second-Order Parametric Sensitivities for Stochastic Discrete Biochemical Systems by Fauzia Jabeen, Silvana Ilie

“…The advantages of the new technique are demonstrated through its application to several biochemical system models with practical significance.…”
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WLreg: A new re-parametrization of the Weighted Lindley distribution and its regression model. by Emrah Altun, Christophe Chesneau, Hana N Alqifari

“…A novel re-parametrization of the weighted Lindley distribution is introduced to develop a regression model suitable for skewed dependent variables defined on [Formula: see text]. …”
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Cooling photovoltaic panels with air convection – Parametric environmental and economic analysis with case studies by Tarek Ibrahim, Jalal Faraj, Khalid Kisswani, Georges El Achkar, Rabih Murr, Mahmoud Khaled

“…To proceed, a cluster of three different efficiency enhancements for three different cooling methods introduced in the literature have been considered and energy production, savings, and CO2 emission reductions have been identified for the median value of each cluster for each cooling method, providing particular insights on PV application parametrically. The cooling methods retrieved from the literature and studied in the current investigation under the climatic condition of Lebanon were: forced convection PV (Forced-PV), free convection with finned plate PV (Free-Finned-PV), and forced convection with finned plate PV (Forced-Finned-PV). …”
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On the Asymptotic Normality of the Method of Moments Estimators for the Birnbaum–Saunders Distribution with a New Parametrization by Piyapatr Busababodhin, Tossapol Phoophiwfa, Andrei Volodin, Sujitta Suraphee

“…This study investigates the asymptotic properties of method-of-moments estimators for the Birnbaum–Saunders distribution under a newly proposed parametrization. Theoretical derivations establish the asymptotic normality of these estimators, supported by explicit expressions for the mean vector and variance–covariance matrix. …”
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