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Abstract: Generic matrix multiplication (GEMM) and convolution (CONV)/cross-correlation kernels often constitute the bulk of the compute- and memory-intensive processing within image/audio recognition ...

In the past few decades, multi-linear algebra also known as tensor algebra has been adapted and employed as a tool for various engineering applications. Recent developments in tensor algebra have ...

In this repository, you can discover all of my assignments for the Algorithms Design and Analysis Course when I was in 4th semester of my bachelor's at IAUSTB.

Long noncoding RNAs (lncRNAs) play important roles in various biological regulatory processes, and are closely related to the occurrence and development of diseases. Identifying lncRNA-disease ...

Matrix multiplication is essential for the functioning of neural networks in machine learning. Deep learning relies heavily on basic arithmetic operations like addition and multiplication. Large ...