Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously ...

Recent research on deep convolutional neural networks (DCNNs) for classifying micro-Doppler (m-D) signatures faces a significant challenge due to the limited and costly acquisition of data. This ...

Blockchain, as a decentralized, secure, programmable, traceable, and tamper-resistant distributed ledger technology, has witnessed rapid development in various fields in recent years. This paper ...

We present a high-throughput, end-to-end pipeline for organic crystal structure prediction (CSP)─the problem of identifying the stable crystal structures that will form from a given molecule based ...

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these ...

Data structures are important for organizing and managing data efficiently in software development. When studying Android development using Java, understanding key data structures like HashMap and ...