An improved hawks optimizer based learning algorithms for cardiovascular disease prediction

Autor: Kumar, A. Saran, Rekha, R.

Publikováno v: In Biomedical Signal Processing and Control March 2023 81

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Deep convolutional neural network–based image classification for COVID-19 diagnosis

Autor: Tharsanee, R.M., Soundariya, R.S., Kumar, A. Saran, Karthiga, M., Sountharrajan, S.

Publikováno v: Data Science for COVID-19

Initial cases of COVID-19 trace back to the end of 2019 which has laid foundations for the extensive spread of the disease risking lives worldwide. In response to the global coronavirus pandemic, early diagnosis of the disease is vital to prevent the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmc_________::18addeed2e1346f4dda93f31785b84e9
http://europepmc.org/articles/PMC8137809

7 - Deep convolutional neural network–based image classification for COVID-19 diagnosis

Autor: Tharsanee, R.M., Soundariya, R.S., Kumar, A. Saran, Karthiga, M., Sountharrajan, S.

Publikováno v: In Data Science for COVID-19 2021:117-145

Contributors

Autor: Abayomi-Alli, A., Acheme, Ijegwa David, Adak, Chandranath, Adegboyega, Abayomi Emmanuel, Adelaja, Kunle, Adesemowo, A.K., Adeyanju, Ibrahim A., Aggarwal, Mayank, Agrawal, Prachi, Ahmad, Mohammad Aminu, Ahmed, Sana, Akinyemi, Ebenezer Ajayi, Amar Prabhu, G., Amour, Lamine, Aravinda, C.V., Arogundade, O.T., Aydın, Doğan, Banerjee, Jyoti Sekhar, Bernardo Gois, Francisco Nauber, Bezboruah, Tulshi, Bharati, Subrato, Bhardwaj, Suyash, Bora, Abhijit, Bourak, Hichem, Carrión-García, Andrés, Catak, Ferhat Ozgur, Chakraborty, Arpita, Chattopadhyay, Soumi, Chowdhury, Ranjana Roy, Costa, Rafael, De Falco, I., de Santana, Marcos Cleison, Della Cioppa, A., Dhiravida Chelvi, E., dos Santos, Claudio Filipi Gonçalves, Dutta, Ritam, Elahi, Hassan, Farooq, Muhammad Umar, Frezza, Fabrizio, Gandomi, Amir H., Ganesh, Talari, Gayathri, R., Ghosh, Debmitra, Ghosh, Papri, Grisales, Angela, Gudu, Emmanuel Bala, Guerra, Jorge Guerra, Guhathakurata, Soham, Gupta, Deepak, Handa, Richa, Hassan, Said Ali, Henrique, Francisco das Chagas Douglas Marques, Mondal, M. Rubaiyat Hossain, Hota, H.S., Ilori, Olusoji O., Isaac, Samson, Jabaloyes, José, Johnson, Titilayo Omolara, Joseph, Grace Gudu, Karaarslan, Enis, Karthiga, M., Kim, Hyoung Joong, Kim, Suah, Kose, Utku, Kumar, A. Saran, Kumar, Ambeshwar, Kundu, Souvik, Kızrak, Merve Ayyuce, Lawal, Olumide Mohammed, Lee, Sungho, Lima, Alex, Lin, Meng, Lôbo Marques, João Alexandre, Magesh, S., Manikandan, R., Martins Rodrigues Sobrinho, Carlos Roberto, Melo, Saulo, Mishra, Divya, Mohamed, Ali Wagdy, Mohan, Surapaneni Krishna, Mporas, Iosif, Müftüoğlu, Zümrüt, Munir, Khushboo, Muthazhagan, Balaji, Naronglerdrit, Prasitthichai, Narvaez, Alvaro Aspilcueta, Neto, José Xavier, Norwawi, Norita Md, Odumuyiwa, Victor T., Olaleye, T.O., Olisah, Chollette C., Oliveira, Marcelo, Oliveira, Ramses, Omale, Simeon, Painuli, Deepak, Panchapakesan, Aparnasri, Papa, João Paulo, Passos, Leandro Aparecido, Patan, Rizwan, Podder, Prajoy, Pradeep Mohan Kumar, K., Priya, Veeraraghavan Vishnu, Pustokhin, Denis Alexandrovich, Pustokhina, Irina Valeryevna, Quiniou, Matthieu, Ramesh, S., Rizzi, Antonello, Sahinbas, Kevser, Salgotra, Rohit, Samikannu, Ravi, Santiago, Valdir, Santos, Khennedy, Scafuri, U., Selvakumar, S., Shankar, K., Sharma, Dinesh K., Sheeba Rani, S., Sheikh-Akbari, Akbar, Lorate Shiny, M., Shrivas, A.K., Souihi, Sami, Sountharrajan, S., Soundariya, R.S., Sujathakrishamoorthy, Sundaramoorthy, Suriya, Tarantino, E., Thanh Tai, Duong, Tharsanee, R.M., Tlale, Taolo, Tucci-Piergiovanni, Sara, Udaya Kumar Reddy, K.R., Ullah, Waheed, Usip, Patience U., Uzoechi, Lazarus O., Verma, Nilesh, Vincent, Olufunke Rebecca, Wisdom, Daniel Dauda, Yahya, Abid, Yıldırım, Tülay

Publikováno v: In Data Science for COVID-19 2021:xxi-xxx