%0 Conference Paper %1 conf/icic/GopalakrishnanX22 %A Gopalakrishnan, Chandrasekhar %A Xu, Caixia %A Li, Yanran %A Anandhan, Vinutha %A Gangadharan, Sanjay %A Paul, Meshach %A Ponnusamy, Chandra Sekar %A Ramalingam, Rajasekaran %A Han, Pengyong %A Li, Zhengwei %B ICIC (2) %D 2022 %E Huang, De-Shuang %E Jo, Kang-Hyun %E Jing, Junfeng %E Premaratne, Prashan %E Bevilacqua, Vitoantonio %E Hussain, Abir %I Springer %K dblp %P 289-301 %T Elucidating Quantum Semi-empirical Based QSAR, for Predicting Tannins' Anti-oxidant Activity with the Help of Artificial Neural Network. %U http://dblp.uni-trier.de/db/conf/icic/icic2022-2.html#GopalakrishnanX22 %V 13394 %@ 978-3-031-13829-4

@inproceedings{conf/icic/GopalakrishnanX22, added-at = {2022-08-16T00:00:00.000+0200}, author = {Gopalakrishnan, Chandrasekhar and Xu, Caixia and Li, Yanran and Anandhan, Vinutha and Gangadharan, Sanjay and Paul, Meshach and Ponnusamy, Chandra Sekar and Ramalingam, Rajasekaran and Han, Pengyong and Li, Zhengwei}, biburl = {https://www.bibsonomy.org/bibtex/2e12b5dda64707c9eed8fffe56738a00c/dblp}, booktitle = {ICIC (2)}, crossref = {conf/icic/2022-2}, editor = {Huang, De-Shuang and Jo, Kang-Hyun and Jing, Junfeng and Premaratne, Prashan and Bevilacqua, Vitoantonio and Hussain, Abir}, ee = {https://doi.org/10.1007/978-3-031-13829-4_24}, interhash = {89257fa3049873d0966c3fe70bbe5351}, intrahash = {e12b5dda64707c9eed8fffe56738a00c}, isbn = {978-3-031-13829-4}, keywords = {dblp}, pages = {289-301}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2024-04-09T18:21:47.000+0200}, title = {Elucidating Quantum Semi-empirical Based QSAR, for Predicting Tannins' Anti-oxidant Activity with the Help of Artificial Neural Network.}, url = {http://dblp.uni-trier.de/db/conf/icic/icic2022-2.html#GopalakrishnanX22}, volume = 13394, year = 2022 }