A CHARACTER BASED STEGANOGRAPHY USING MASKED LANGUAGE MODELING

A Character Based Steganography Using Masked Language Modeling

In this study, a steganography method based on BERT transformer model is proposed for hiding text data in cover text.The aim is to hide information by replacing specific words within the text using BERT’s masked language Travel Bag modeling (MLM) feature.In this study, two models, fine-tuned for English and Turkish, are utilized to perform s

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Using In Silico Methods to Identify Protein Tyrosine Kinase A (PtkA) Homolog in Non-Tuberculous Mycobacteria (NTM)

Non-tuberculous mycobacteria (NTM) represent a diverse group of mycobacterial species known for causing opportunistic infections, especially in individuals with underlying health conditions.Unlike Mycobacterium tuberculosis Travel Bag (Mtb), the causative agent of tuberculosis, NTM species exhibit different pathogenic characteristics and drug resis

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A novel algorithm to detect non-wear time from raw accelerometer data using deep convolutional neural networks

Abstract To date, non-wear detection algorithms commonly employ a 30, 60, or even 90 mins interval or window in which acceleration values need to be below a threshold value.A major drawback of such intervals is that they need to be long enough to prevent false positives (type I errors), while short enough to prevent Toners false negatives (type II

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