Images remain the largest data source in the field of healthcare. But at the same time, they are the most difficult to analyze. More than often, these images are analyzed by human experts such as pathologists and physicians. ...

We consider the classical on-line load balancing problem of temporary tasks under restricted assignments. Each job can be processed only on a subset of machines, different jobs require a different amounts of processing ...

Metal–oxide–semiconductor field-effect transistor (MOSFET) has been used for decades in the semiconductor industry. However, with the continuous downscaling of the device dimensions to the nanometer regime, conventional ...

We perceive the world around us through multiple senses. Perception of different senses is linked to different regions in the brain. Integration of the perception of objects through multiple senses enables the brain to ...

Prion diseases are transmissible neuro-degenerative diseases that arises due to conformational change of normal cellular prion protein (PrPc ) to protease-resistant isofrom (rPrPSc ). Deposition of misfolded PrPSc proteins ...

This research addresses the challenge of network inference in large-scale, sparse datasets. Inspired by the Gini coefficient, we introduce a novel methodology leveraging machine learning, including the GENIE3 algorithm and ...

Convolutional Neural Networks are trained using a gradient descent back propagation technique which trains weights in each layer for the sole goal of minimizing training error. Hence, the resulting weights cannot be ...

HMAC or keyed-hash message authentication code is a security implementation using cryptographic hash function (where hash function is iterative i.e. classical Merkle-Damgård construction [7] [12]) and a secret key. It ...

NFT or Non-Fungible Token is a token that certifies a digital asset to be unique. A wide range of assets including, digital art, music, tweets, memes, are being sold as NFTs. NFT-related content has been widely shared on ...