Sitanshu S. Sahu

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Plastids are an important component of plant cells, being the site of manufacture and storage of chemical compounds used by the cell, and contain pigments such as those used in photosynthesis, starch synthesis/storage, cell color etc. They are essential organelles of the plant cell, also present in algae. Recent advances in genomic technology and sequencing(More)
Speech impairments analysis has been used as an efficient tool for early detection of Parkinson's disease (PD). In this paper, we have proposed an efficient approach using Extreme Learning Machine to predict Parkinson's disease accurately utilising speech samples. The performance of the method has been assessed with a reliable dataset from UCI repository.(More)
Laccases (E.C. are multi-copper oxidases that have gained importance in many industries such as biofuels, pulp production, textile dye bleaching, bioremediation, and food production. Their usefulness stems from the ability to act on a diverse range of phenolic compounds such as o-/p-quinols, aminophenols, polyphenols, polyamines, aryl diamines,(More)
Electrocardiogram (ECG) has become a primary tool for proper diagnosis of cardiovascular disease. During the acquisition of ECG signal, it is embedded with noise. Presence of noise in the signal may lead to variation in the amplitude and time intervals, which in turn falsely represents the abnormalities associated with the heart. This may lead to false(More)
Every year pathogenic organisms cause billions of dollars' worth damage to crops and livestock. In agriculture, study of plant-microbe interactions is demanding a special attention to develop management strategies for the destructive pathogen induced diseases that cause huge crop losses every year worldwide. Pseudomonas syringae is a major bacterial leaf(More)
Parkinson's disease (PD) is a widespread chronic neurological disease prevalent in old age. Speech is found to be an effective marker for the identification of Parkinson's disease. In the following paper, we have proposed using factor analysis to select meaningful and dominant features from the speech signals, which are relevant for prediction of(More)
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