Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Habibpour, Maryam"'
Autor:
Habibpour, Maryam, Gharoun, Hassan, Mehdipour, Mohammadreza, Tajally, AmirReza, Asgharnezhad, Hamzeh, Shamsi, Afshar, Khosravi, Abbas, Shafie-Khah, Miadreza, Nahavandi, Saeid, Catalao, Joao P. S.
Countless research works of deep neural networks (DNNs) in the task of credit card fraud detection have focused on improving the accuracy of point predictions and mitigating unwanted biases by building different network architectures or learning mode
Externí odkaz:
http://arxiv.org/abs/2107.13508
Autor:
Habibpour, Maryam, Gharoun, Hassan, Tajally, AmirReza, Shamsi, Afshar, Asgharnezhad, Hamzeh, Khosravi, Abbas, Nahavandi, Saeid
Defects are unavoidable in casting production owing to the complexity of the casting process. While conventional human-visual inspection of casting products is slow and unproductive in mass productions, an automatic and reliable defect detection not
Externí odkaz:
http://arxiv.org/abs/2107.11643
Autor:
Habibpour, Maryam, Gharoun, Hassan, Mehdipour, Mohammadreza, Tajally, AmirReza, Asgharnezhad, Hamzeh, Shamsi, Afshar, Khosravi, Abbas, Nahavandi, Saeid
Publikováno v:
In Engineering Applications of Artificial Intelligence August 2023 123 Part A
Autor:
Habibpour, Maryam, Gharoun, Hassan, Tajally, AmirReza, Shamsi, Afshar, Asgharnezhad, Hamzeh, Khosravi, Abbas, Nahavandi, Saeid
Publikováno v:
SSRN Electronic Journal.
Defects are unavoidable in casting production owing to the complexity of the casting process. While conventional human-visual inspection of casting products is slow and unproductive in mass productions, an automatic and reliable defect detection not
Autor:
Hashemzadeh, Mohammad Sadegh, Tabalvandani, Atena Nouhi, Padasht, Nasim, Ayoubi, Saman, Ramzanian, Roya, Hoseinzadeh, Mansoreh, Latifi, Zahra, Tat, Mahdi, Sharti, Mojtaba, Habibpour, Maryam, Arshad, Somaye, Dorostkar, Ruhollah
Publikováno v:
Journal of Pure & Applied Microbiology; Mar2016, Vol. 10 Issue 1, p345-350, 6p