Suspicious Human activity recognition (SHAR) is crucial for improving surveillance and security systems by recognizing and reducing possible hazards in different situations.This study focuses on the task of precisely identifying potentially suspicious human behaviour by utilizing an innovative approach that harnesses advanced deep learning methods.

The article investigates the asymptotic behavior of the solution to reconstructing the boundary conditions and the right-hand side for second-order differential equations with a small parameter at the highest derivative, which have an initial jump.Asymptotic estimates of the solution of the reconstruction problem are obtained for singularly perturb

The conversion of existing energy systems to intelligent integrated energy systems can happen only if economic benefits due to introduction of the intelligent integrated energy systems will exceed required level of investments.Thus, it is necessary for every optimal design energy systems problem according to the purposes of the study to determine v

Abstract Background ORTHO BONE Low back pain (LBP) and neck pain (NP) are common among workers.Participatory Ergonomics (PE) is used as an implementation strategy to prevent these symptoms.By following the steps of PE, working groups composed and prioritised ergonomic measures, and developed an implementation plan.Working group members were respons

Aiming at the problem that in the current electromagnetic environment,the modulation method is complicated,the frequency-consuming equipment increases,the spectrum is congested,and the electromagnetic environment interference increases,the algorithm of OFDM signal detection and subcarrier identification in the background of non-cooperative communic