Results 251 to 260 of about 609,661 (311)

Multi-Strategy Enhanced White Shark Optimizer for Solving Job Shop Scheduling Problem. [PDF]

Biomimetics (Basel)
Cao L, Li M, Chen K, Yue Y, Qiu Y, Cheng Z.   +5 more
europepmc   +1 more source

Real‐Time Holographic Feedback via Mixed Reality Sensorized Laryngoscope Training System Enhances Pediatric Intubation Training

Advanced Robotics Research, EarlyView.
We proposed a Mixed Reality Sensorized Laryngoscope Training System to provide real‐time holographic torque feedback during pediatric endotracheal intubation simulation. Visualization formats are evaluated to reduce tracking error and visual demand.
Jiaqi Li, Ryman Hashem, Ningzhe Hou, Perla Maiolino, Louis Halamek, Liang He   +5 more
wiley   +1 more source

An explainable artificial intelligence framework for ischemic heart disease prediction using enhanced squirrel search feature selection. [PDF]

Sci Rep
Cenitta D, Arul N, Arjunan RV, Chadaga K, Andrew J.   +4 more
europepmc   +1 more source

Best-first search-based approach for mining top-k closed frequent itemsets from uncertain databases. [PDF]

PLoS One
Le N, Vo H, Nguyen T.
europepmc   +1 more source

Efficient algorithm for optimal wavelength selection in photoacoustic spectral unmixing. [PDF]

Biomed Opt Express
Smith C, Langley A, Sankepalle D, Mallidi S, Bouma BE, Veysset D.   +5 more
europepmc   +1 more source

Comprehensive Learning Fungal Growth Optimizer for Numerical Optimization and Reservoir Production Optimization. [PDF]

Biomimetics (Basel)
Gong M, Song Z, Zhang X, Tang Y.
europepmc   +1 more source

Automating differentially private tabular data synthesis via Bayesian optimization. [PDF]

Sci Rep
Pang S, Yin Y, Yang W, Feng Z, Tian X, Yang X.   +5 more
europepmc   +1 more source

Enhancing Expressway Traffic State Perception: A Novel BAS-Optimized PSO-BP Fusion Model with Tensor Completion. [PDF]

Sensors (Basel)
Yin J, Guo X, Bai W, Ma L, Tang L.
europepmc   +1 more source

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On Accelerated Random Search

SIAM Journal on Optimization, 2004
Summary: A new variant of pure random search (PRS) for function optimization is introduced. The basic finite-descent accelerated random search (ARS) algorithm is simple: the search is confined to shrinking neighborhoods of a previous record-generating value, with the search neighborhood reinitialized to the entire space when a new record is found ...
M. J. Appel, R. LaBarre, D. Radulovic
exaly   +2 more sources