This paper presents a novel framework for detecting non-flat abandoned objects by matching a reference and a target video sequences. The reference video is taken by a moving camera...
—The most pervasive compute operation carried out in almost all bioinformatics applications is pairwise sequence homology detection (or sequence alignment). Due to exponentially ...
Background: Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling ar...
— The Smith-Waterman algorithm is a dynamic programming method for determining optimal local alignments between nucleotide or protein sequences. However, it suffers from quadrati...
Program plagiarism is one of the most significant problems in Computer Science education. Most common plagiarism includes modifying comments, reordering statements, and changing v...