In this paper, the imitation reinforcement learning-based control problem is studied for discrete-time Markov jump systems with external disturbances. First, zero-sum game method is introduced to deal ...

Anomaly detection is an important problem that has been researched within diverse research areas. Numerous methods and approaches based on Hidden Markov Model regarding the anomaly detection have been ...

In the past few days, a full-blown media and political offensive has been launched in Sofia targeting Hungarian Prime ...

Image not available Georgi Konstantinovski City Archive, Skopje, Macedonia (Elevation, 1:200) 1966–1968 Image not available Georgi Konstantinovski City Archive, Skopje, Macedonia (Ground-floor plan, 1 ...

MCL, the Markov Cluster algorithm, also known as Markov Clustering, is a method and program for clustering weighted or simple networks, a.k.a. graphs ...

Objectives This study analyses the cost-effectiveness of annual low-dose CT (LDCT) screening of high-risk cancer populations in Chinese urban areas. Design We used a Markov model to evaluate LDCT ...

K-Ras4B, the most frequently mutated Ras isoform in human tumors, plays a vital part in cell growth, differentiation, and survival. Its tail, the C-terminal hypervariable region (HVR), is involved in ...

Listening to Addison Rae ’s self-titled debut feels like wearing your gaudiest dress and stepping into the Chateau Marmont on a hot summer day. There are glistening turquoise pools, loads of ...