Results 231 to 240 of about 184,637 (335)

Multidimensional Optimal Power Flow with Voltage Profile Enhancement in Electrical Systems via Honey Badger Algorithm. [PDF]

Biomimetics (Basel)
Hakmi SH, Alnami H, Faiya BMA, Moustafa G.   +3 more
europepmc   +1 more source

Amplification of Light‐Ultrasound Interaction in a Pi‐Shifted Fiber Bragg Grating for Enhanced Ultrasonic Sensitivity

Laser &Photonics Reviews, EarlyView.
By precisely engineering the geometry of a fiber‐based optical resonator, the interaction between confined light and external ultrasound waves is significantly amplified without sacrificing light confinement, boosting the ultrasound detection sensitivity beyond 0.5 mPa/√Hz.
Tai‐Anh La, Rami Shnaiderman, Vasilis Ntziachristos   +2 more
wiley   +1 more source

Hybrid GA-SQP neural network frame for solving english language learning. [PDF]

Sci Rep
Abbasi AZ, Jaghdam IH, Aoudia M, Maatki C, Hassen W, Kolsi L.   +5 more
europepmc   +1 more source

Highly Versatile Real‐Time Optical Noise Filtering Through Temporal Cloaking

Laser &Photonics Reviews, EarlyView.
Conventional bandpass filtering strategies may be insufficient for recovering optical waveforms under extremely noisy conditions. We demonstrate a temporal‐cloaking denoising strategy enabled by the temporal Talbot effect, which concentrates the coherent signal of interest into short temporal slots while broadband noise remains temporally spread.
Majid Goodarzi, Manuel P. Fernandez, Geunweon Lim, Connor Rowe, Xinyi Zhu, José Azaña   +5 more
wiley   +1 more source

Nonlinear thermodynamic computing out of equilibrium. [PDF]

Nat Commun
Whitelam S, Casert C.
europepmc   +1 more source

A linear programming reformulation of the standard quadratic optimization problem. [PDF]

Klerk, E. de, Pasechnik, D.V.
core   +1 more source

Fuzzy neural network with backpropagation for fuzzy quadratic programming problems and portfolio optimization problems

Izaz Ullah Khan, Rabia Nasir Khan, Mehran Ullah, Muhammad Ajmal Shah   +3 more
openalex   +1 more source

E2E: An R Package for Easy‐to‐Build Ensemble Models

Med Research, EarlyView.
ABSTRACT E2E (Easy to Ensemble) is an R package aiming to provide researchers with a simple, user‐friendly, and comprehensive ensemble learning framework to address the challenges of existing tools when dealing with imbalanced data or constructing complex models.
Shanjie Luan, Ximing Wang
wiley   +1 more source

Adaptive model predictive control for robust lateral motion tracking of semi-autonomous vehicles with dynamic parameter variation. [PDF]

Sci Rep
Yeneneh K, Yoseph B, Sufe G.
europepmc   +1 more source

Error-Driven Varying-Gain in Zeroing Neural Networks for Solving Time-Varying Quadratic Programming Problems

Yuhuan Chen, Junliu Zhong, Jiawei Li, Chengli Sun   +3 more
openalex   +1 more source