One of the main security requirements for symmetric-key block ciphers is resistance against differential cryptanalysis. This is commonly assessed by counting the number of active substitution boxes (S ...

The algorithm allows researchers to reconstruct how abundant different block-lengths are present within a copolymer sample, giving a much more detailed picture of the material's internal structure.

Use AI in active learning by deploying these strategies to integrate tools in your teaching. Plus, how to address four challenges when doing so How can we leverage AI tools to enhance active learning?

The proposed inverse information density algorithm, which is inspired by human psychology, achieves an overall improvement of 87% over the best of the other algorithms. In conclusion, designing and ...

However, these algorithms can face difficulties in optimizing highly complex structures due to computational limitations. High-performance computing (HPC) and quantum computing (QC) integrated systems ...

Using active learning to train deep learning models can effectively reduce the heavy labeling work because active learning only selects and labels the most valuable samples.

Method: We conducted a systematic review to investigate the use of active learning in systematic reviews. We searched multiple databases for literature on the topic published after 2005 and used the ...