Abstract: Bare bones particle swarm optimization (BBPSO) is a swarm algorithm that has shown potential for solving single-objective unconstrained optimization problems over continuous search spaces.

Abstract: Anomaly detection in multivariate time series is a critical research area, but it is also a challenging one due to its occurrence in various real-world scenarios, such as structural health ...

Objectives To evaluate knowledge, attitudes and practices towards routine vaccination in the Lebanese population in the post-COVID-19 period, and to examine differences between COVID-19 vaccinated and ...

Objectives Enteral nutrition (EN) constitutes a critical therapeutic intervention in the management of patients with sepsis; however, the optimal timing for its initiation remains uncertain. This ...

Objective Sarcopenia, defined by reductions in muscle mass and strength, increases the risk of adverse outcomes in patients with rheumatoid arthritis (RA)—driven in part by chronic inflammation—and is ...

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 ...

Background The hamstring injury mechanism was assessed by investigating the exercise-related metabolic activity characteristics of the hamstring muscles using a muscle functional MRI (mfMRI) protocol.

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He Sun, Shinan Liu, Siyuan Ma, Junhao Li, Mingjun Xiao, Wenhao Jiang Mind the Intention: Task-Aware Backdoor Attacks for Forecast-Driven Distribution Network Operations Yuxuan Chen, Haipeng Xie, Yichi ...