Results 101 to 110 of about 201,531 (312)
In a FSS-OFDMA, the OFDM symbol is spread, and the subcarriers are assigned for each user in the frequency band. As the principal subcarrier allocation for each user, localized and interleaved allocations have been proposed, and the interleaved ...
Yuta Ida, Takahiro Matsumoto
doaj +1 more source
Generalized Wilson Chain for solving multichannel quantum impurity problems
The Numerical Renormalization Group is used to solve quantum impurity problems, which describe magnetic impurities in metals, nanodevices, and correlated materials within DMFT.
Bulla, Ralf +4 more
core +1 more source
Few‐layer La2CoO4 nanosheets are produced via phonon‐resonance‐assisted cleavage of the rock‐salt layers in the Ruddlesden‐Popper structure under the 20 kHz resonance condition, enabling controlled exfoliation into ultrathin sheets. The nanosheets show improved gas‐sensing capability, delivering an 86.67% response to 1 ppm NO2 at room temperature ...
Yi Liang +13 more
wiley +1 more source
Oxide Semiconductor Thin‐Film Transistors for Low‐Power Electronics
This review explores the progress of oxide semiconductor thin‐film transistors in low‐power electronics. It illustrates the inherent material advantages of oxide semiconductor, which enable it to meet the low‐power requirements. It also discusses current strategies for reducing power consumption, including interface and structure engineering.
Shuhui Ren +8 more
wiley +1 more source
Multiple Beamforming with Perfect Coding
Perfect Space-Time Block Codes (PSTBCs) achieve full diversity, full rate, nonvanishing constant minimum determinant, uniform average transmitted energy per antenna, and good shaping. However, the high decoding complexity is a critical issue for practice.
Ayanoglu, Ender, Li, Boyu
core +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov +8 more
wiley +1 more source
Off-Policy Interleaved $Q$ -Learning: Optimal Control for Affine Nonlinear Discrete-Time Systems
In this paper, a novel off-policy interleaved Q-learning algorithm is presented for solving optimal control problem of affine nonlinear discrete-time (DT) systems, using only the measured data along the system trajectories.
Jinna Li +4 more
semanticscholar +1 more source
Collaborative Multiagent Closed‐Loop Motion Planning for Multimanipulator Systems
This work presents a hierarchical multi‐manipulator planner, emphasizing highly overlapping space. The proposed method leverages an enhanced Dynamic Movement Primitive based planner along with an improvised Multi‐Agent Reinforcement Learning approach to ensure regulatory and mediatory control while ensuring low‐level autonomy. Experiments across varied
Tian Xu, Siddharth Singh, Qing Chang
wiley +1 more source
Phytoplankton Hotspot Prediction With an Unsupervised Spatial Community Model
Many interesting natural phenomena are sparsely distributed and discrete. Locating the hotspots of such sparsely distributed phenomena is often difficult because their density gradient is likely to be very noisy.
Dudek, Gregory +3 more
core +1 more source

