New Steganography Framework Hides Data in Image Wavelet Bands
A new steganography framework uses wavelet and DCT transforms to hide data in images with high visual fidelity and extraction ...
A new steganography framework uses wavelet and DCT transforms to hide data in images with high visual fidelity and extraction ...
A framework combining discrete wavelet transforms and temporal convolutional networks predicted continuous stock trends with 72.85 percent accuracy across 400 ...
A multiscale analysis of monthly river discharge across four Upper Indus Basin stations from 1973 to 2020 identified distinct 1987 ...
An updated survey of wavelet-based soft computing forecasting methods shows that decomposition protocol and boundary handling choices can substantially affect ...
A new dual-branch network combines raw ECG signals with wavelet-transformed frequency features and adaptive attention, reaching 99.38% accuracy on the ...
A four-cell CSRR microwave sensor on FR4 achieved 80 percent glucose classification accuracy with wavelet-based machine learning and reported sensitivities ...
Researchers report a hybrid BiLSTM framework with wavelet feature extraction and modified Archimedes optimization that classifies composite insulator aging states ...
A lightweight AI pipeline combining wavelet and texture features classified hemorrhagic stroke, ischemic stroke and normal tissue on brain CT ...
A new open-access study reports that a Fossa Optimizer-tuned Option-Critic hierarchical reinforcement learning model, trained on 7,000 wearable sensor records, ...
A two-stage framework combining high-boost filtering with discrete cosine transformation achieved the strongest reported performance on four grayscale multi-focus image ...
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© 2026 Scienmag - Science Magazine