Results 61 to 70 of about 12,005,993 (173)
Rapid Communications in Mass Spectrometry, EarlyView.ABSTRACT Rationale Hemicelluloses are abundant carbohydrate components in plant cell walls. They play a crucial structural role in binding cellulose microfibrils, in addition to other biological functions. Their high structural variability directly influences their biological properties, making it important to establish a structure–function ...
Rania Benazza +3 more
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Small, EarlyView.Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong +9 more
wiley +1 more source
IEEE AccessLossless compression of medical images can reduce data size, save storage and transmission costs, and cope with the challenge of increasing resolution demand for medical images.
Fangjia Liu +3 more
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DrLS: Distortion‐Resistant Lossless Steganography via Colour Depth Interpolation
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT The lossless data steganography is to hide a certain amount of information into a container image. Previous lossless steganography methods fail to strike a balance between capacity, imperceptibility, accuracy, and robustness, commonly vulnerable to distortion on container images.
Youmin Xu +3 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
Adaptive Neural-Network-Based Lossless Image Coder with Preprocessed Input Data
Applied SciencesIt is shown in this paper that the appropriate preprocessing of input data may result in an important reduction of Artificial Neural Network (ANN) training time and simplification of its structure, while improving its performance. The ANN is working as a
Grzegorz Ulacha, Ryszard Stasinski
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Worrying Expertise: Representation and Expert Knowledge in Trade Unions
The British Journal of Sociology, EarlyView.ABSTRACT Studies of professionalisation, oligarchy and expertise have asked how expertise affects democratic representation in professionalised membership organisations. This article approaches that problem from the other direction by examining the role of representation in the production of expert knowledge.
Staffan Edling
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Robust image and video coding with pyramid vector quantisation [PDF]
, 1999 Most current image and video coding standards use variable length codes to achieve compression, which renders the compressed bitstream very sensitive to channel errors.
Bull, D R, Chung How, JTH, Bull, DR
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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
Binary shape coding and lossless image compression [PDF]
, 2010 As the amount of information is increased in modern life, the need for more efficient methods to represent this information grows as well. This information can be in a variety of forms, such as speech, still image, text, and video, etc.
Shen, Zhenliang
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