Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Anugrah Srivastava"'
Publikováno v:
Journal of Real-Time Image Processing. 18:1851-1863
Nowadays, the world is witnessing a significant rise in the cases of both reported and unnoticed violations. As an answer to this rising menace, video surveillance can fill the gap of covering untapped actions which lead to violence, while also ensur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68fcee5b9cd44c4a998727bac17e1eda
https://doi.org/10.1007/s11554-021-01171-2
https://doi.org/10.1007/s11554-021-01171-2
Publikováno v:
Automated Software Engineering. 29
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db42b3821ba1acf991be9fab87748e87
https://doi.org/10.1007/s10515-022-00323-3
https://doi.org/10.1007/s10515-022-00323-3
Autor:
Vivek Anand Thoutam, Anugrah Srivastava, Tapas Badal, Vipul Kumar Mishra, G. R. Sinha, Aditi Sakalle, Harshit Bhardwaj, Manish Raj
Publikováno v:
Computational Intelligence and Neuroscience.
Yoga is a 5000-year-old practice developed in ancient India by the Indus-Sarasvati civilization. The word yoga means deep association and union of mind with the body. It is used to keep both mind and body in equilibration in all flip-flops of life by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07fd9da7ddba1a609c716c1119824071
Publikováno v:
IC3
Automatic violence detection has remarkable importance from practical and academic point of view. Generally speaking, detecting violence in a crowded locality, via computational approaches, is challenging owing to rapid movements, overlapping charact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::945bae97238c3103b46c49e19f242361
https://doi.org/10.1145/3474124.3474161
https://doi.org/10.1145/3474124.3474161
Autor:
Anugrah Srivastava, Advait Naik
Publikováno v:
Advances in Bioinformatics ISBN: 9789813361904
Biology is the science of nature’s life. It regards living things in one cell or separate cells (e.g. creatures, plants, and micro-organisms). Natural sciences include numerous areas, including the study and characterization of creatures by subatom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eae24c5cd19d20c73eb22e78b967fb8e
https://doi.org/10.1007/978-981-33-6191-1_22
https://doi.org/10.1007/978-981-33-6191-1_22
Autor:
Anugrah Srivastava, Mohit Bakshi
Publikováno v:
International Journal of Modern Communication Technologies & Research (IJMCTR). 6
— To magnify network of lifeless node in Wireless Sensor Networks (WSNs).The selection of path for data deportation are eclectic in such a form that the over all energy absorbed along the path is lessen. Wireless sensor network is a set of a large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d8c72609b932780021bcfdff2b364ba
https://doi.org/10.31873/ijmctr.6.6.41
https://doi.org/10.31873/ijmctr.6.6.41
Autor:
Sultana Bano, Anugrah Srivastava
Publikováno v:
International Journal of Modern Communication Technologies & Research (IJMCTR). 6
In Automatic Detection of Melanoma and Non Melanoma skin Cancer, the relationship of skin cancer image across different type of neural network are studied with different types of preprocessing and compare the result with two method Discrete wavelet t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5235991bc5ace2fa783db5c55dde89c7
https://doi.org/10.31873/ijmctr.6.6.40
https://doi.org/10.31873/ijmctr.6.6.40
Autor:
Surbhit Shukla, Anugrah Srivastava
Publikováno v:
International Journal of Modern Communication Technologies & Research (IJMCTR). 6
In compression of medical image using convolutional neural network trained with the back-propagation algorithm and lefted wavelet transformation is proposed to compress high quality medical images. It gives much better result as compared to feed-forw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9460da8d6cf001b6ec142e8ac75ac4b
https://doi.org/10.31873/ijmctr.6.6.45
https://doi.org/10.31873/ijmctr.6.6.45