Browsing by Author "Anushya Devi T.S"

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    ANALYSIS OF HEDYCHIUM FLAVUM WASTE POWDER AS A POTENT HEAVY METAL ADSORBENT
    (Springer Link, 2023-06-05) Swetha M; Indhumathi S; Sheeba L; Sangeetha G; Anushya Devi T.S; Selvanayaki M
    Hedychium flavum, a medicinal, edible, and ornamental plant, is widely cultivated in India. Essential oils from the plant are used for various medical purposes and the leftover plant residue after oil extraction is discarded as a waste. An attempt was made to explore the used of this waste to remove heavy metals from wastewater was analysed. Result shows that the waste powder can be used effectively for metal removal. Hedychium flavum sequence was submitted to the NCBI database to procure accession numbers MN988619.
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    GENETIC SEQUENCING AND MEDICINAL ANALYSIS ON THREE VARIETIES OF GINGER TUBER
    (Journal of Critical Reviews, 2020-08) Anushya Devi T.S; Mohanapriya S; Afrin I
    Bio-informatics is an interdisciplinary field of science involved in collecting and analysingbiological data. It is processed with the help of software tools, thereby to increase the understanding of biological processes. The ginger tuber is put into the staging of DNA Isolation to know the presence of DNA in the ginger. It undergoes PCR (Polymerase Chain Reaction) amplification where many million copies of the DNA are made in an exponential way using Thermo-cycling at a certain temperature and time delay. So, the extract of samples is being, taken for the further process of sequencing .The final process is the Gene Sequencing which is done to figure differentiation of different ginger tuber on the bases of Genome.
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    A STUDY ON ARTIFICIAL INTELLIGENCE
    (PSGR Krishnammal College for Women, 2020-01-09) VinithaSri S; Saranya A.G; Anushya Devi T.S
    AI or artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning and self-correction.AI can perform tasks such as identifying patterns in the data more efficiently than humans, enabling businesses to gain more insight out of their datawith the help from AI, massive amounts of data can be analyzed to map poverty and climate change, automate agricultural Practice and irrigation, Individualize healthcare and learning, predict consumption patterns, streamline energy-usage and waste-management Internet of Things is used to collect and handle the huge amount of data that is required by the Artificial Intelligence algorithms
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    A SURVEY ON AGRICULTURAL FERTILIZER TO IMPROVE THE FARMERS PRODUCTIVITY
    (Karpagam Academy of Higher Education, 2020-02-28) Anushya Devi T.S
    Agriculture is an essential factor for human life. Every country depends on farming and agriculture. Because of the Globalization, the agricultural trends have been developed excessively in modern times. Agricultural have been affected by various factors, it may happen because on unknowing factor about fertilizer quantity for land. For this, fertilizer in agriculture and data mining uses techniques to apply specific principles of data and decides it to when and how much fertilizers to be used in a particular area or land. For this factor data mining concept is the process of finding or discovering the pattern to recognize the fertilizer quantity to get more progress and improve the farmer’s productivity. To improve the productivity this content gives us examine of various techniques of data mining approaches.