Results 121 to 130 of about 18,574 (304)

Coupling of 0D/1D Grain Boundaries Inducing Extreme Charge Rearrangement/Magnetic Resonance for Ultrabroadband Electromagnetic Wave Absorption

Carbon Energy, EarlyView.
The 0D/1D grain boundary coupling between Fe₃O₄ quantum dots and CNTs induces extreme charge redistribution and short‐range magnetic resonance, enabling complete electromagnetic wave absorption across the entire X and Ku bands. ABSTRACT Ferrite–carbon composites effectively absorb electromagnetic (EM) waves via coupled mechanisms.
Jie Huang, Liuying Wang, Renbing Wu, Weichao Wang, Chaoqun Ge, Haoke Yang, Xu Tang, Wenyu Jiao, Gu Liu, Bin Wang   +9 more
wiley   +1 more source

A priori bounds for the generalised parabolic Anderson model

Communications on Pure and Applied Mathematics, EarlyView.
Abstract We show a priori bounds for solutions to (∂t−Δ)u=σ(u)ξ$(\partial _t - \Delta) u = \sigma (u) \xi$ in finite volume in the framework of Hairer's Regularity Structures [Invent Math 198:269–504, 2014]. We assume σ∈Cb2(R)$\sigma \in C_b^2 (\mathbb {R})$ and that ξ$\xi$ is of negative Hölder regularity of order −1−κ$- 1 - \kappa$ where κ<κ¯$\kappa <
Ajay Chandra, Guilherme de Lima Feltes, Hendrik Weber   +2 more
wiley   +1 more source

Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study

Energy Science &Engineering, EarlyView.
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Khurram Hashmi, Abbas Javed, Basem Alamri, Krzysztof Ejsmont   +6 more
wiley   +1 more source

A Bitrate-Scalable Variational Recurrent Mel-Spectrogram Coder for Real-Time Resynthesis-Based Speech Coding

IEEE Access
This paper introduces a method for real-time speech coding that combines a binary-latent-vector variational recurrent neural network for mel-spectrogram coding with a non-autoregressive convolutional vocoder for waveform reconstruction. To enable bitrate
Benjamin Stahl, Simon Windtner, Alois Sontacchi   +2 more
doaj   +1 more source

Performance Monitoring of Photovoltaic Modules Using Machine‐Learning‐Based Solutions: A Survey of Current Trends

Energy Science &Engineering, EarlyView.
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe, Abraham Dimitri Kapim Kenfack, Nicolas Thantsha, Mandla Msimanga   +3 more
wiley   +1 more source

Lossy Compression of Deterministic Policy Map with Vector Quantization

, 2005
Ryuichi Ueda, Takeshi Fukase, Yuichi Kobayashi, Tamio Arai, S. Kamiya   +4 more
openalex   +2 more sources

Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection [PDF]

, 2023
Ruiying Lu, Yujie Wu, Long Tian, Dongsheng Wang, Bo Chen, Xiyang Liu, Ruimin Hu   +6 more
openalex   +1 more source

Design of HAWT Rotor for Non‐Uniform Inflow Conditions: A Theoretical and Experimental Approach for Shear Flow

Energy Science &Engineering, EarlyView.
This paper aims to provide a robust design approach for HAWTs operating in shear flow. This study fills a critical research gap by integrating BEM and vortex theories for blade design in non‐homogeneous inflow conditions. The authors of the paper made an effort to develop and test an experimentally unsophisticated model of a turbine working in shear ...
Agnieszka Dorota Woźniak, Piotr Strzelczyk, Taeseong Kim   +2 more
wiley   +1 more source

RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search [PDF]

Jianyang Gao, Long Cheng
openalex   +1 more source

Strong interfacial charge transfer from CrSBr induces extreme hole doping and quantum‐Hall states in graphene heterostructures

InfoScience, EarlyView.
Magnetic van der Waals semiconductors offer unique opportunities to integrate spin and charge degrees of freedom in atomically thin devices. We fabricate dual‐gated heterostructures consisting of exfoliated CrSBr and monolayer graphene with Hall measurement revealing robust heavy p‐doping of graphene and signals of h‐BN/graphene moiré superlattices ...
Ziqi Liu, Yuchen Gao, Chengfeng Zhu, Yichang Sun, Kenji Watanabe, Takashi Taniguchi, Zuxin Chen, Pingfan Gu, Yu Ye   +8 more
wiley   +1 more source