Results 181 to 190 of about 826,121 (282)

A Comparison of Monte Carlo Methods for Computing Marginal Likelihoods of Item Response Theory Models. [PDF]

J Korean Stat Soc, 2019
Liu Y, Hu G, Cao L, Wang X, Chen MH.
europepmc   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

Control Strategies in Guanine Biocrystallization

Angewandte Chemie, EarlyView.
Biological guanine crystals produce spectacular photonic phenomena in animals and hold great promise as new, sustainable optical materials. We review how organisms precisely control the structure, morphologies, and resulting optical properties of these crystals using a set of ingenious ‘design’ strategies, including control of pH, template‐directed ...
Shashanka S. Indri, Avital Wagner, Benjamin A. Palmer   +2 more
wiley   +2 more sources

Monte Carlo simulations for free energies of hydration: Past to present. [PDF]

J Chem Phys
Jorgensen WL.
europepmc   +1 more source

Rejoinder: A comparison of Monte Carlo methods for computing marginal likelihoods of item response theory models. [PDF]

J Korean Stat Soc, 2019
Liu Y, Hu G, Cao L, Wang X, Chen MH.
europepmc   +1 more source

Activation‐Integrated and Memory‐Assisted Dynamic‐Latch Quantizer for Variation‐Tolerant and Low‐Energy Neuromorphic Computing

Advanced Intelligent Systems, EarlyView.
A memory‐assisted dynamic‐latch ADC integrating charge‐trap flash enables ultra‐low‐energy quantization and in‐ADC nonlinear activation for variation‐tolerant neuromorphic computing. Analog‐to‐digital converters (ADCs) remain the dominant area/energy bottleneck in neuromorphic computing (NC) systems.
Jonghyun Ko, Jiseong Im, Ryun‐Han Koo, Sung‐Ho Park, Jong‐Ho Lee   +4 more
wiley   +1 more source

Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models

Angewandte Chemie, EarlyView.
AI‐empowered catalysis research via integrated database platform, universal machine learning interatomic potentials (MLIPs), and large language models (LLMs). ABSTRACT The integration of artificial intelligence (AI) into catalysis is fundamentally reshaping the research paradigm of catalyst discovery.
Di Zhang, Yuanzheng Chen, Chuanyu Liu, Yan Liu, Hongliang Xin, Jiayu Peng, Pengfei Ou, Hao Li   +7 more
wiley   +2 more sources

Diffusion of proteins in crowded solutions studied by docking-based modeling. [PDF]

J Chem Phys
Singh A, Kundrotas PJ, Vakser IA.
europepmc   +1 more source

Improved Monte Carlo methods for estimating confidence intervals for eleven commonly used health disparity measures. [PDF]

PLoS One, 2019
Ahn J, Harper S, Yu M, Feuer EJ, Liu B.
europepmc   +1 more source

Monte Carlo and Quasi-Monte Carlo Methods [PDF]

, 2016
openaire   +1 more source