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Generative Modelling methods are becoming more popular.
Computing methods are becoming increasingly useful in many areas of humanities and arts.
Normal mode methods are becoming a popular alternative to sample the conformational landscape of proteins.
Coupled Monte Carlo (MC) methods are becoming widely used in reactor physics analysis and design.
Single molecule methods are becoming routine biophysical techniques for studying biological macromolecules.
Learning-based hashing methods are becoming the mainstream for approximate scalable multimedia retrieval.
Anti-forensic tools, techniques and methods are becoming a formidable obstacle for the digital forensic community.
Therefore, specific simplification methods are becoming a real need for the acoustic community in developing countries.
Evaluation methods are becoming more specific in showing the exact pathologies causing the symptoms.
High-order methods are becoming increasingly attractive in both academia and industry, especially in the context of computational fluid dynamics.
Spectral methods are becoming increasingly prevalent in solving time-varying partial differential equations due to their fast convergence properties.
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