In a sequence of experiments we evaluate whether a liquid state machine in combination with a supervised learning algorithm can be used to predict ball trajectories with input data coming from a video camera mounted on a robot participating in the RoboCup. This pre-processed video data is fed ...
It is difficult to predict the demand for helium. It grew rapidly in the 1990s as a result of developments in the electronics and MRI sectors, which was followed by the slowing growth of the demand at the time of lower helium supply. And in general, the growing demand for helium is tied...
instantaneous VR delay target. To address this problem, a distributed deep learning algorithm that brings together new neural network ideas from liquid state machine (LSM) and echo state networks (ESNs) is proposed. The proposed algorithm enables each SBS to predict the users’ reliability so as ...
View PDF Download full issue Search ScienceDirect Outline Abstract Keywords Nomenclature 1. Introduction 2. Modeling and methodology 3. Results and discussion 4. Conclusion Declaration of interest Statement Acknowledgments ReferencesShow full outline Figures (12) Show 6 more figures...
Recent advances including surfboard-like aquatic robots called Wave Gliders, along with ultra-precise sonar beacons and GPS systems are now giving scientists the chance to view the ocean floor and better predict how—and where—the biggest earthquakes might occur. Read more Customer...
ctDNA estimates were obtained from LP-WGS data using ichorCNA21with default settings. For samples that lacked LP-WGS, we used signal at CREs to estimate ctDNA content. We fit a linear model to predict LP-WGS-based tumor fraction estimates (T) given the signal at CREs that were negatively...
To identify the key domains of LLPS, many websites, e.g., PONDR, PLAAC, and PSPredictor, provide tools to predict the IDRs and the LLPS potency of target proteins [21, 22, 167]. In particular, OptoIDR provides a LLPS inducible tool to investigate LLPS function by gain-of-function ...
Wallis (1969) investigated the liquid entrainment in the gas core and derived a liquid-film model to predict the critical gas rate. With a decrease in the gas velocity, the film that moves upward decreases. As the gas flow velocity in a wellbore is less than the critical flow velocity, li...
5.3. ANN to predict compositional viscosity for different ILs over a broad range of temperatures In Section III-A, we discussed the ANN prediction for each individual [Cn-mim][NTf2]-ethanol (also methanol) system when n=4, 6, 8, 10, in which the three input node are the temperature ...
Further, induced back pressures are difficult to predict as a function of changing liquid formulas and constituent liquid components and of changing flow rates and conditions. Changing requirements or conditions relative to liquid viscosities are of particular concern in predicting and controlling system ...