Results 141 to 150 of about 136,387 (282)

Parameterized codes over some embedded sets and their applications to complete graphs

Mathematical Communications, 2013
Let $K$ be a finite field, let $X \subset \mathbb{P}^{m-1}$ and $X' \subset \mathbb{P}^{r-1}$, with ...
González Sarabia, Manuel, Rentería Márquez, Carlos, Sarmiento Rosales, Eliseo   +2 more
openaire   +2 more sources

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

Enabling Stochastic Dynamic Games for Robotic Swarms

Advanced Intelligent Systems, EarlyView.
This paper scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games using a belief space variant of iterative Linear Quadratic Gaussian (iLQG). We scale to teams of 50 agents through selective modeling based on the estimated influence of agents ...
Kamran Vakil, Alyssa Pierson
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates

Advanced Intelligent Systems, EarlyView.
This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin, Rudolf M. Füchslin, Achille Giacometti, Helmut Hauser, Marco Werner   +4 more
wiley   +1 more source

Towards Advanced Intelligent and Perceptive Soft Grippers

Advanced Intelligent Systems, EarlyView.
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim, Hayeon Shin, Seik Park, Changbeom Shim, Seonggun Joe   +4 more
wiley   +1 more source

Continuous-variable fault-tolerant quantum computation under general noise. [PDF]

Nat Commun
Matsuura T, Menicucci NC, Yamasaki H.
europepmc   +1 more source

A leaf phenomics approach for estimating belowground traits in North American licorice

American Journal of Botany, EarlyView.
Abstract Premise Selective breeding over thousands of years has prioritized aboveground yield, with little regard for changes belowground. Roots underpin plant growth and resilience, but our knowledge of these critical structures lags behind that of aboveground structures.
Zachary N. Harris, Vivian Tran, Emelyn Piotter, Meredith T. Hanlon, Matthew J. Rubin, Allison J. Miller   +5 more
wiley   +1 more source

Multiclass portfolio optimization via variational quantum Eigensolver with Dicke state ansatz. [PDF]

Sci Rep
Scursulim JVS, Langeloh GM, Beltran VL, Brito S.   +3 more
europepmc   +1 more source

First‐Principles Investigation of the Electronic, Phonon, Optical, and Elastic Properties of AgBiTeSe

Advanced Physics Research, EarlyView.
This study presents a first‐principles investigation of the electronic, vibrational, optical, and elastic properties of AgBiTeSe. The results highlight its metallic behavior, dynamic stability, strong optical absorption, and promising thermoelectric potential.
Nilufer Yesmin Tanisa, Munshi H. M. Rahat, Sayed Bony Amin, Md. Karimul Islam   +3 more
wiley   +1 more source