Results 71 to 80 of about 1,320 (159)
Batch Transaction Compression for Efficient Off-Chain Storage in Blockchain-Based IoT Systems
IEEE AccessWith the increasing adoption of blockchain systems in financial services, supply-chain management, and Internet-of-Things (IoT) applications, the volume of transaction data stored both on-chain and off-chain has grown rapidly, imposing significant ...
Tse-Lin Li, Shu-Ping Lu
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High Voltage, EarlyView.ABSTRACT This paper provides an overview of high‐temperature superconducting (HTS) cables in DC systems, with a focus on their deployment in high‐voltage DC (HVDC) networks. The assessment of HTS cable properties—such as extremely low electrical resistance, high current‐carrying capacity and a compact geometry—and their comparison with those of ...
Mohammad Hossein Mousavi +2 more
wiley +1 more source
Salt Cavern Hydrogen Storage for Renewable‐Dominated Smart Energy Systems
IET Smart Energy Systems, EarlyView.Salt cavern hydrogen storage enables large‐scale, long‐duration energy storage by integrating renewable electricity, electrolysis and hydrogen‐to‐power conversion. It provides multi‐timescale flexibility, supports clean firm capacity and enhances resilience in renewable‐dominated power systems.
Chuanbo Xu +4 more
wiley +1 more source
AN ALGORITHM OF ADAPTIVE LIFTING WAVELET TRANSFORM COMPUTATION based on prediction error diffusion
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019 An algorithm of adaptive lifting wavelet transform computation based on adaptive prediction of the detail wavelet coefficients, with using subbands halftone image obtained from the original grayscale is proposed. The results of an algorithm modeling show
L. A. Ruiz, A. A. Boriskevich
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IEEE AccessReal-time processing of hyperspectral data remains a critical challenge in remote sensing, especially on resource-constrained platforms like satellites and uncrewed aerial vehicles (UAVs), due to the high data volume and limited onboard computational ...
Amal S. Altamimi +5 more
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A Wildlife Multi‐Modal Recognition Method Based on Infrared Camera Images Using MWAC
Integrative Zoology, EarlyView.A multimodal wild wildlife classification model MWAC consists of two parts:(1) Wavelet KAN module (WDS‐KAN) for image feature extraction, and (2) Label Correlated Text Extraction module (LC‐BERT) for text feature extraction. ABSTRACT Nowadays, infrared camera technology has become an important tool for large‐scale monitoring and assessment of wildlife ...
Siming Deng +6 more
wiley +1 more source
Splatshop: Efficiently Editing Large Gaussian Splat Models
Computer Graphics Forum, EarlyView.Abstract We present Splatshop, a highly optimized toolbox for interactive editing (selection, deletion, painting, transformation, …) of 3D Gaussian Splatting models. Utilizing a comprehensive collection of heuristic approaches, we carefully balance between exact and fast rendering to enable precise editing without sacrificing real‐time performance. Our
Markus Schütz +5 more
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Image‐Based Spatio‐Temporal Interpolation for Split Rendering
Computer Graphics Forum, EarlyView.Abstract Low‐powered devices – such as small form factor head‐mounted displays (HMDs) – struggle to deliver a smooth and high‐quality viewing experience, due to their limited power and rendering capabilities. Cloud rendering attempts to solve the quality issue, but leads to prohibitive latency and bandwidth requirements, hindering use with HMDs over ...
M. Steiner +4 more
wiley +1 more source
Encoding Occupancy in Memory Location for Efficient and Compact High‐Resolution Voxel Structures
Computer Graphics Forum, EarlyView.We encode information about geometric structure into the pointers of a sparse voxel directed acyclic graph (SVDAG). Each pointer carries information about the structure of the node it points to. Our encoding improves ray tracing performance and reduces model size in memory.
Jaina Modisett, Markus Billeter
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Hybrid Quantum-Classical Frameworks for High-Fidelity Data Compression and Reconstruction
Engineered ScienceProblems in data compression and generative modeling are beginning to benefit from hybrid quantum-classical frameworks. This paper studies a system with classical autoencoders for dimensionality reduction combined with quantum generative adversarial ...
Rani Aher, Mandaar B. Pande
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