Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Thai, Kim Phung"'
Autor:
Van Pham, Hai1 (AUTHOR) haipv@soict.hust.edu.vn, Thai, Kim Phung2 (AUTHOR), Nguyen, Quoc Hung2 (AUTHOR), Le, Duy Dong2 (AUTHOR), Le, Thanh Trung2 (AUTHOR), Nguyen, Thi Xuan Dao2 (AUTHOR), Phan, Thi Thuy Kieu2 (AUTHOR), Thao, Nguyen Xuan3,4 (AUTHOR)
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 2023, Vol. 44 Issue 4, p6775-6791. 17p.
Publikováno v:
In Deep Learning in Personalized Healthcare and Decision Support 2023:305-313
Publikováno v:
International Journal of Advances in Intelligent Informatics; Jul2023, Vol. 9 Issue 2, p273-285, 13p
Autor:
Doan Phu Hai, Thai Kim Phung
Publikováno v:
Science & Technology Development Journal - Economics - Law and Management. 3:58-67
BI (Business Intelligence) is considered as a top priority of enterprises in investment decisions on information systems. Deploying a BI system is very complex, not just installing software and hardware, its success depends on assessing the current s
Autor:
La, Tuan-Vinh, Dao, Minh-Son, Le, Duy-Dong, Thai, Kim-Phung, Nguyen, Quoc-Hung, Phan-Thi, Thuy-Kieu
Publikováno v:
Algorithms; Nov2022, Vol. 15 Issue 11, p423, 15p
Autor:
Thai Kim Phung
Publikováno v:
SNPD Winter
BI (Business Intelligence) is considered as one of the best choices for enterprises in investment decisions on information systems. Deploying a BI system is very complex, not just installing software and hardware, its success depends on assessing the
Publikováno v:
SNPD Winter
This study was conducted to apply supervised machine learning methods in opinion mining online customer reviews. First, the study automatically collected 39,976 traveler reviews on hotels in Vietnam on Agoda.com website, then conducted the training w
Autor:
Deepak Gupta, Dang N. H. Thanh, Aditya Khamparia, Ashish Khanna, Thai Kim Phung, Subrato Bharati, Prajoy Podder
Publikováno v:
Multidimensional Systems and Signal Processing
Breast cancer is a common cancer for women. Early detection of breast cancer can considerably increase the survival rate of women. This paper mainly focuses on transfer learning process to detect breast cancer. Modified VGG (MVGG), residual network,
Autor:
Adebiyi, Marion Olubunmi, Ahmad, Syed Umair, Ahmad, M.M., Aigbogun, Happiness Eric, Arowolo, Micheal Olaolu, Arvindhan, M., Balusamy, Balamurugan, Bhati, Meenu, Chaitanya, Ketha Dhana Veera, Chatterjee, Jyotir Moy, Chitranshi, Nitin, Daniel, A., Das, Amar Kumar, Dehghani, Leila, Edalatpanah, S.A., Ejegwa, Paul Augustine, Ethiraj, N., Ferdous, Nayeema, Geetha, S., Gupta, Ranitesh, Hakkim, Saira, Himi, Shinthi Tasnim, Hitch, Geeta, Hoque Apu, Ehsanul, Islam, Md. Ezharul, J., Premaladha, Jahan, Musfika, K, Joseph Abraham Sundar, Kabir, Russell, Kainesie, John, Khan, Azmat Ali, Krishankumar, Raghunathan, Kumar, Girish, Mahmud, Ilias, Mathur, Sanjeev Kumar, Mathur, Shivani, Maurya, Palak, Meduri, Madhur, Michael, Eniola Precious, Mohamed, Ali Wagdy, Mohanty, Sachi Nandan, Monalisa, Natasha Tanzila, Mundru, Yamuna, Nayak, Sukanta, Nguyen, Quoc Hung, Okello, Sharon Akinyi, Panigrahi, Chhabi Rani, Parsa, Ali Davod, Partheeban, N., Pati, Bibudhendu, Pham, Van Hai, Priyatharsini, G. Soniya, Pulikkottil, Amal Thomas, Rakesh, B., Rath, Mamata, Rather, Mohd Ashraf, Ravichandran, Kattur Soundarapandian, Rout, Saroja Kumar, Sadiq, M.S., Safa, Ramin, Safder, Arfa, Sahu, Bibhuprasad, Sajwan, Mohit, Sallam, Karam M., Sarkar, Arun, Saxena, Akash, Sehgal, Sheikh Arslan, Selvam, Prabu, Sharma, Ashwani, Sharma, Anjali, Sharma, Ashish K., Sharon-Shivuli-Isigi, Shrivastava, Rajesh Kumar, Singh, I.P., Singh, Simar Preet, Singh, Simranjit, Sivasubramanian, Madhini, Sorourkhah, Ali, Sujatha, R., Sultana, Nusrat, Syed, Haniya Zehra, Thai, Kim Phung, Tran, Le Phuc Thinh, Tripathy, Subhranshu Sekhar, Tripathy, Niva, Tyagi, Amit Kumar, Uddin, Mohammad Shorif, Ul Ain, Qurat, Veeramani, Nirmala, Verma, Anurag, Victo Sudha George, G., Vinnakota, Divya, Virmani, Tarun, Virmani, Reshu, Yogi, Manas Kumar, Zafar, Imran
Publikováno v:
In Deep Learning in Personalized Healthcare and Decision Support 2023:xi-xiv
Publikováno v:
Optik. 241:166163
In the article, we propose a robust impulse denoising method based on noise accumulation and harmonic analysis techniques (NAHAT filter). Noise accumulation technique is used to improve the ability to detect noisy pixels, and a harmonic function is u