Image Defogging Framework Using Segmentation and the Dark Channel Prior.

Foggy images suffer from low contrast and poor visibility problem along with little color information of the scene. It is imperative to remove fog from images as a pre-processing step in computer vision. The Dark Channel Prior (DCP) technique is a very promising defogging technique due to excellent restoring results for images containing no homogeneous region.

Use Of Steroids In Rhinoplasty With Lateral Osteotomies For Reducing Post Operative Oedema.

Background: TPostoperative periorbital oedema is a commonly encountered side effect of rhinoplasties in which lateral osteotomies have been incorporated. It dissatisfies the surgeon as well as the patient. Osteotomies are done at the end of all soft tissue manipulation to reduce the development of oedema.

Hidden Markov model and Chapman Kolmogrov for protein structures prediction from images.

Protein structure prediction and analysis are more significant for living organs to perfect asses the living organ functionalities. Several protein structure prediction methods use neural network (NN). However, the Hidden Markov model is more interpretable and effective for more biological data analysis compared to the NN.

MSuPDA: A Memory Efficient Algorithm for Sequence Alignment.

Space complexity is a million dollar question in DNA sequence alignments. In this regard, memory saving under pushdown automata can help to reduce the occupied spaces in computer memory. Our proposed process is that anchor seed (AS) will be selected from given data set of nucleotide base pairs for local sequence alignment.

Performance evaluation of Warshall algorithm and dynamic programming for Markov chain in local sequence alignment.

Markov Chain is very effective in prediction basically in long data set. In DNA sequencing it is always very important to find the existence of certain nucleotides based on the previous history of the data set. We imposed the Chapman Kolmogorov equation to accomplish the task of Markov Chain.

OPTSDNA: Performance evaluation of an efficient distributed bioinformatics system for DNA sequence analysis.

Storage of sequence data is a big concern as the amount of data generated is exponential in nature at several locations. Therefore, there is a need to develop techniques to store data using compression algorithm. Here we describe optimal storage algorithm (OPTSDNA) for storing large amount of DNA sequences of varying length.