Machine learning (ML) is poised as a transformational approach uniquely positioned to discover the hidden biological interactions for better prediction and diagnosis of complex diseases.In this work, we integrated ML-based models for feature selection and classification to quantify the risk of individual susceptibility to asthma using single nucleo
SSDIS-BEM: A New Signature Steganography Document Image System based on Beta Elliptic Modeling
In this paper, a New Signature Steganography Document Image system based on Beta Elliptic Modeling is proposed, in the purpose of hiding the Beta Elliptic signature as a secret data into the host document image.The system is sub-divided into two main blocks: steganography grapevine colour saree embedding and steganography extraction.The Binary Robu
Myocardial injury in acute ischemic stroke
Since antiquity, the interaction of brain and heart has inspired physicians and philosophers.Today, our knowledge has vastly improved, oswald the octopus stuffed animal but the exact way of their interaction still holds many secrets to reveal.The interaction between brain and heart merits particular attention in the aftermath of a sudden injury to