Abstract: To improve the stability and adaptive ability of underwater robots in dynamic environments, this paper proposes a non-singular terminal sliding mode control method (NTSMC) combining ...
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?
When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers.
Paste Magazine is your source for the best music, movies, TV, comedy, videogames, books, comics, craft beer, politics and ...
This is an advanced undergraduate course on algorithms. This course examines such topics as greedy algorithms, dynamic programming, graph algorithms, string processing, and algorithms for ...
Mingi Kang ’26 received a Fall Research Award from Bowdoin this semester to support his project exploring how two distinct ...
AI in Education, Machine Learning, Educational Research Methods, Causal Inference, Explainable AI Mgonja, T. (2025) Archaic Methods in a Data Rich World: Why Educational Research Must Embrace AI ...
Abstract: The rapid evolution of Adaptive Education highlights the necessity of personalized learning paths that cater to the unique cognitive styles, preferences, and capabilities of each student.