Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Abstract: In the era of Industry 4.0, distributed storage systems face significant challenges in terms of reliability, data security, privacy, and maintenance. While traditional solutions like HDFS ...

Abstract: The traditional genetic algorithm tends to fall into local optimality when solving large scale satellite mission planning problem, which makes it difficult to attain better planning results.

⚙️ Optimize task scheduling in fog computing for better energy use, faster response, deadline compliance, and reduced costs. - divish9123/RIGEO ...