4 papers
Efficient Large-Scale Simulation of Fish Schooling Behavior Using Voronoi Tessellations and Fuzzy Clustering
Salah Alrabeei, Talal Rahman, Sam Subbey
This paper introduces an efficient approach to reduce the computational cost of simulating collective behaviors, such as fish schooling, using Individual-Based Models (IBMs). The p…
Tracking capelin spawning migration -- Integrating environmental data and Individual-based modeling
Salah Alrabeei, Sam Subbey, Talal Rahman
This paper presents a modeling framework for tracking the spawning migration of the capelin, which is a fish species in the Barents Sea. The framework combines an individual-based…
Efficient CPU-Optimized Parameter Estimation for Modeling Fish Schooling Behavior in Large Particle Systems
S. Arabeei, S. Subbey
The schooling behavior of fish can be studied through simulations involving a large number of interacting particles. In such systems, each individual particle is guided by behavior…
Dynamic Spatio-temporal Zero-inflated Poisson Models for Predicting Capelin Distribution in the Barents Sea
Shonosuke Sugasawa, Tomoyuki Nakagawa, Hiroko Kato Solvang +2
We consider modeling and prediction of Capelin distribution in the Barents sea based on zero-inflated count observation data that vary continuously over a specified survey region.…