Results 201 to 210 of about 943 (248)

Numerical Investigation of the Water-Exit Performance of a Bionic Unmanned Aerial-Underwater Vehicle with Front-Mounted Propeller. [PDF]

Biomimetics (Basel)
Dong Y, Wang Q, Wu W, Zhang Z.
europepmc   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Evaluation of Needle Manipulation Controller Subject to Uncertainty of Tip Pose Feedback: A Simulation Study. [PDF]

Int Symp Med Robot
Mei J, Chang C, Wang Y, Leonard S, Iordachita I.   +4 more
europepmc   +1 more source

Further Computations of Quantum Fluid Triplet Structures at Equilibrium in the Diffraction Regime. [PDF]

Entropy (Basel)
Sesé LM.
europepmc   +1 more source

Optimizing Molecular Descriptors for Reliable Adsorption Energy Prediction on Transition Metal Nanoclusters. [PDF]

ACS Omega
Pena LB, Calderan FV, Felício-Sousa P, Andriani KF, Quiles MG, Da Silva JLF, Galvão BRL.   +6 more
europepmc   +1 more source

Wallpaper Group-Based Mechanical Metamaterials: Dataset Including Mechanical Responses. [PDF]

Sci Data
Hendriks F, Menkovski V, Doškář M, Geers MGD, Verbeek K, Rokoš O.   +5 more
europepmc   +1 more source

Computation of simple invariant solutions in fluid turbulence with the aid of deep learning. [PDF]

Nonlinear Dyn
Page J.
europepmc   +1 more source

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A novel translation and modulation invariant discrete-discrete uncertainty measure

IEEE International Conference on Acoustics Speech and Signal Processing, 2002
The quantification of signal localization simultaneously in time and in frequency is fundamental to a variety of signal processing applications where time-frequency analysis is to be performed on nonstationary signals. In this paper, we develop novel joint localization measures defined on equivalence classes of finitely supported discrete-time signals.
Peter C. Tay, Joseph P. Havlicek, Victor E. DeBrunner   +2 more
openaire   +2 more sources

Translating discrete-time simulink to lustre

ACM Transactions on Embedded Computing Systems, 2005
We present a method of translating discrete-time Simulink models to Lustre programs. Our method consists of three steps: type inference, clock inference, and hierarchical bottom-up translation. In the process, we explain and formalize the typing and timing mechanisms of Simulink. The method has been implemented in a prototype tool called S2L, which has
Stavros Tripakis, Christos Sofronis, Paul Caspi, Adrian Curic   +3 more
openaire   +1 more source