We present a physics-informed deep learning (PIDL) approach to tackle the challenge of data sparsity and sensor noise in traffic state estimation (TSE). PIDL strengthens (DL) neural network with knowledge flow theory accurately estimate conditions. The ‘physics’—a priori information system—acts as regularization agent during training. illustrate implementation propos...

This study describes the length-weight (LWR) and length-length (LLR) relationships of four cyprinid important small indigenous fish species (SIS) from the Padma River, Bangladesh. A total of 914 specimens were caught by traditional fishing gear from March 2006 to February 2007. Length (cm) and body weight (g) for each specimen was taken by a digital slide caliper and balance, respectively. The ...

In this paper the problem of variable admittance control in human-robot cooperation tasks is investigated, considering rotational motion of the robot’s end-effector. A Fuzzy Model Reference Learning algorithm is used to determine online the appropriate virtual damping of the admittance controller with partial state representation of the system. The learning algorithm is trained according to the...

The evolution of new concepts inwave theory have led to proof-in-principle experiments aimed at validating the generation of a specified wave front. Not only have these concepts initiated research in transient wave theory, but they have also caused renewed effort in multichannel signal processing. In this paper, the development ofa processor todeconvolve a transient acoustic wave from sensor ar...

the length- length (llrs), length-weight (lwr) relationships and relative condition factor (kn) of 505 specimens of pike, (esox lucius linnaeus, 1798) from anzali wetland, southwest of the caspian sea, were studied from april 2012 through march 2013. the length-length relationships among total length (tl), fork length (fl) and standard length (sl) for pike were found to be highly significant (r...