Results 1 to 10 of about 2,102 (184)

Applications of Non-Uniquely Decodable Codes to Privacy-Preserving High-Entropy Data Representation

Algorithms, 2019
Non-uniquely-decodable (non-UD) codes can be defined as the codes that cannot be uniquely decoded without additional disambiguation information. These are mainly the class of non–prefix–free codes, where a code-word can be a prefix of other(s)
Muhammed Oğuzhan Külekci, Yasin Öztürk   +1 more
doaj   +1 more source

A Deep Learning Model of Lightning Stroke Density

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 15, 16 August 2026.
Abstract Lightning plays a crucial role in the Earth's climate system; however, existing parameterizations for use in forecasting and earth system models show room for improvement in capturing spatial and temporal variations in its frequency. This study develops deep learning‐based parameterizations of lightning stroke density using meteorological ...
Randall Jones II, Joel A. Thornton, Chris J. Wright, Robert A. Holzworth   +3 more
wiley   +1 more source

Pragmatic Two‐Stage Design for Clinical Trials With Treatment Selection

Statistics in Medicine, Volume 45, Issue 18-19, August 2026.
ABSTRACT Clinical trials are inherently complex and become more challenging when selecting one treatment from many while also evaluating the efficacy. In this paper, we develop a pragmatic design that balances sample efficiency and practicality through a two‐stage sequential approach.
Paul Horton, Yajun Mei
wiley   +1 more source

New Steganography System Based on Huffman Coding and Fibonacci Decomposition

Ibn Al-Haitham Journal for Pure and Applied Sciences, 2018
   Hiding secret information in the image is a challenging and painstaking task in computer security and steganography system. Certainly, the absolute intricacy of attacks to security system makes it more attractive.in this research on steganography ...
Fadheela Sabri Abu-Almash
doaj   +1 more source

MAUSAM: An Observations‐Focused Assessment of Global AI Weather Prediction Models During the South Asian Monsoon

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
Abstract Past evaluation of artificial intelligence (AI) weather prediction has primarily relied on reanalyses, which can obscure important deficiencies due to prevailing biases in reanalyses themselves. Here, we present MAUSAM (Measuring AI Uncertainty during South Asian Monsoon), an evaluation of seven leading AI‐based prediction systems—FourCastNet,
Aman Gupta, Aditi Sheshadri, Dhruv Suri
wiley   +1 more source

Probability updating-based adaptive hybrid coding

Tongxin xuebao, 2008
A probability updating mechanism was proposed for entropy coding. To achieve the best coding efficiency,probability updating based huffman code and structured code were jointly used,and the best context model was selected according as the correlation of ...
doaj   +2 more sources

Lossless Compression and Data Transformation Techniques on QR Code Binary Bit Stream

IEEE Access
This paper presents a dataset-level evaluation of six lossless compression and data transformation techniques applied to visual-cryptographic (VC) shares derived from QR codes.
Fatoumatta Conteh, Abdullahi Abubakar Imam, Ganesh Kumar, Daphne Teck Ching Lai, Rosyzie Anna Apong, Luiz Fernando Capretz   +5 more
doaj   +1 more source

Short‐Term Hourly Weather Forecasting Using PredRNN With Image Preprocessing

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Global weather forecast models are vital tools with numerous applications, including public safety, agriculture, and transportation. Recent advancements in artificial intelligence (AI) and deep learning (DL) have shown the potential to enhance weather forecasting accuracy and speed.
Hoang Tran, Hao Li, Vinh Ngoc Tran, Tam V. Nguyen, Manh‐Hung Le, Thanh Duc Dang, Hong Xuan Do, Hung T. Pham, Tan Bui‐Thanh, L. Ruby Leung   +9 more
wiley   +1 more source

Anti-uniform Huffman codes

IET Communications, 2011
In this study, the authors consider the class of anti-uniform Huffman (AUH) codes. The authors derived tight lower and upper bounds on the average codeword length, entropy and redundancy of finite and infinite AUH codes in terms of the alphabet size of the source. These bounds are tighter than similar bounds.
Mohajer, S., Kakhbod, A.
openaire   +2 more sources

Improving Extreme Precipitation Forecasts via Cascade Binary Classification With Diffusion Post‐Processing

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Accurate forecasting of extreme precipitation remains a critical challenge, owing to its heavy‐tailed distribution and severe class imbalance that limit conventional deep learning approaches. This study presents a two‐stage cascade‐diffusion framework for extreme precipitation forecasting over eastern China (110°–130°E, 20°–40°N).
Leyan Dai, Huiling Yuan, Yiheng Liu, Xinyue Li, Xuanhao Gu, Jiajun Li, Yang Zhao   +6 more
wiley   +1 more source