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Mochamad Apri

Showing results (1-10 of 8) with videos related to

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Journal of Theoretical Biology|April 3, 2012
Complexity reduction preserving dynamical behavior of biochemical networksMochamad Apri, Maarten de Gee, Jaap Molenaar
Parasite Epidemiology and Control|July 4, 2025
Sliding mode control with stochastic modeling and mobility interaction for managing epidemic spread in high-population regionsDewi Suhika, Roberd Saragih, Dewi Handayani, et al.
Parasite Epidemiology and Control|September 22, 2025
Corrigendum to "Sliding mode control with stochastic modeling and mobility interaction for managing epidemic spread in high-population regions" [Parasite Epidemiology and Control, Volume 30 (2025), Article number e00439]Dewi Suhika, Roberd Saragih, Dewi Handayani, et al.
Methodsx|April 3, 2023
An optimized XGBoost-based machine learning method for predicting wave run-up on a sloping beachDede Tarwidi, Sri Redjeki Pudjaprasetya, Didit Adytia, et al.
Plos One|April 7, 2010
Efficient estimation of the robustness region of biological models with oscillatory behaviorMochamad Apri, Jaap Molenaar, Maarten de Gee, et al.
Plos One|January 14, 2014
Identifying optimal models to represent biochemical systemsMochamad Apri, Maarten de Gee, Simon van Mourik, et al.
Journal of Theoretical Biology|February 4, 2014
Modelling cell division and endoreduplication in tomato fruit pericarpMochamad Apri, Johannes Kromdijk, Pieter H B de Visser, et al.
Scientific Reports|March 31, 2024
The epidemic forest reveals the spatial pattern of the spread of acute respiratory infections in Jakarta, IndonesiaYuki Novia Nasution, Marli Yehezkiel Sitorus, Kamal Sukandar, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Theoretical Biology|April 3, 2012
Complexity reduction preserving dynamical behavior of biochemical networksMochamad Apri, Maarten de Gee, Jaap Molenaar
Parasite Epidemiology and Control|July 4, 2025
Sliding mode control with stochastic modeling and mobility interaction for managing epidemic spread in high-population regionsDewi Suhika, Roberd Saragih, Dewi Handayani, et al.
Parasite Epidemiology and Control|September 22, 2025
Corrigendum to "Sliding mode control with stochastic modeling and mobility interaction for managing epidemic spread in high-population regions" [Parasite Epidemiology and Control, Volume 30 (2025), Article number e00439]Dewi Suhika, Roberd Saragih, Dewi Handayani, et al.
Methodsx|April 3, 2023
An optimized XGBoost-based machine learning method for predicting wave run-up on a sloping beachDede Tarwidi, Sri Redjeki Pudjaprasetya, Didit Adytia, et al.
Plos One|April 7, 2010
Efficient estimation of the robustness region of biological models with oscillatory behaviorMochamad Apri, Jaap Molenaar, Maarten de Gee, et al.
Plos One|January 14, 2014
Identifying optimal models to represent biochemical systemsMochamad Apri, Maarten de Gee, Simon van Mourik, et al.
Journal of Theoretical Biology|February 4, 2014
Modelling cell division and endoreduplication in tomato fruit pericarpMochamad Apri, Johannes Kromdijk, Pieter H B de Visser, et al.
Scientific Reports|March 31, 2024
The epidemic forest reveals the spatial pattern of the spread of acute respiratory infections in Jakarta, IndonesiaYuki Novia Nasution, Marli Yehezkiel Sitorus, Kamal Sukandar, et al.
Pageof 1