The Bat-G network shows the uniform 3D reconstruction results and achieves precision, recall, and F1-score of 0.896, 0.899 and 0.895, respectively. The experimental results demonstrate the...

The Bat-G network consists of an encoder emulating a bat's central auditory pathway, and a 3D graphical visualization decoder. For the acquisition of the ultrasound data, a custom-made Bat-I sensor module is used.

In batch files, you need to use %%A, while on the command-line, you'd just use %A. In your scenario, the %%A is a placeholder for what the "for" loop is iterating over (which the /D indicates directories). So each iteration of the loop, %%A is one of the directories. You'll see %% instead of % in batch code.

Live bats demonstrate that the properly used ultrasound can be used to perceive 3D space. With this in mind, a neural network referred to as a Bat-G network is implemented to reconstruct the 3D representation of target objects from the hyperbolic FM (HFM) chirped ultrasonic echoes.

Dec 4, 2014 · Make a FOR Parameter %%G equal to some part of that data; Perform a command (optionally using the parameter as part of the command).--> Repeat for each item of data; If you are using the FOR command at the command line rather than in a batch program, use just one percent sign: %G instead of %%G. FOR Parameters

a feed-forward Bat-G network is proposed to solve the ill-posed 3D ultrasonic inverse problem. The proposed network reconstructs 3D representation of diverse objects from measured 4-channel ultrasonic signals.

Jan 1, 2020 · In this paper, a noise-immune Bat-inspired Graphical visualization network Guided by the radiated ultrasonic call (Bat-G2 net) that can reconstruct 3D shapes of a target from ultrasonic echoes...

Bat G (Batgirl) Season 3 Death of Bat G (Superheroine in danger/Defeated/Unmasked) Runtime: 16 m 30 s include: short story, defeated, superheroine KO, unmasked CODENAME: Bat G Season 3 Death of...

%%parameter A replaceable parameter: in a batch file use %%G (on the command line %G) FOR /F processing of a text file consists of reading the file, one line of text at a time and then breaking the line up into individual items of data called 'tokens'.

The main conditions are the so-called Bat-G network which features a late integration of spatial and temporal features, versus a so-called SAE network which performs earlier integration, and works less well. The effect of temporal versus spatial features is also compared.