Zobrazeno 1 - 10
of 3 805
pro vyhledávání: '"Hashemi, Seyed"'
Autor:
Hashemi, Seyed Danial, Mittal, Sunil
Publikováno v:
Nature Communications, 2024
Generating coherent optical frequency combs in micro-ring resonators with Kerr nonlinearity has remarkably advanced the fundamental understanding and applications of temporal dissipative solitons. However, the spectrum of such soliton combs is restri
Externí odkaz:
http://arxiv.org/abs/2411.07236
Realism in Action: Anomaly-Aware Diagnosis of Brain Tumors from Medical Images Using YOLOv8 and DeiT
In the field of medical sciences, reliable detection and classification of brain tumors from images remains a formidable challenge due to the rarity of tumors within the population of patients. Therefore, the ability to detect tumors in anomaly scena
Externí odkaz:
http://arxiv.org/abs/2401.03302
Autor:
Hashemi, Seyed Hamed, Mattila, Jouni
This paper presents a visual-inertial-based control strategy to address the task space control problem of robot manipulators. To this end, an observer-based hybrid controller is employed to control end-effector motion. In addition, a hybrid observer
Externí odkaz:
http://arxiv.org/abs/2311.11816
Autor:
Hashemi, Seyed Hossein, Besharati, Zahra, Hashemi, Seyed Abdolrasoul, Hashemi, Seyed Ali, Babapoor, Aziz
Publikováno v:
In Energy Storage and Saving December 2024 3(4):243-249
Autor:
Hashemi, Seyed Hamed, Mattila, Jouni
This paper aims to address the open problem of designing a globally stable vision-based controller for robot manipulators. Accordingly, based on a hybrid mechanism, this paper proposes a novel task-space control law attained by taking the gradient of
Externí odkaz:
http://arxiv.org/abs/2302.04163
Autor:
Hassanpour, Parviz1, Hashemi, Seyed Jamal1,2 sjhashemi@tums.ac.ir, Nami, Sanam3, Ghazvini, Roshanak Daie1, Hokmabadi, Behrouz Naghili4, Foroushani, Abbas Rahimi5, Ahmadikia, Kazem1, Ramezanalipour, Zahra1, Abriz, Saeid Firouzi3
Publikováno v:
Iranian Journal of Microbiology. Dec2024, Vol. 16 Issue 6, p792-802. 11p.
Autor:
Hassanvand Amouzadeh, Mahdi1, Hashemi, Seyed Esmaeil2 esmaeil@scu.ac.ir, Mehrabizadeh Honarmand, Mahnaz2, Bassak Nejad, Soodabeh2, Rabiei, Mohammad3
Publikováno v:
Journal of Assessment & Research in Applied Counseling. 2024, Vol. 6 Issue 4, p38-47. 10p.
Autor:
Nouri, Behnaz1, Hashemi, Seyed Hesan2, Ghadimi, Delaram J.3, Roshandel, Siavash4, Akhlaghdoust, Meisam2,5 Akhlaghdoust@sbmu.ac.ir
Publikováno v:
International Journal of Fertility & Sterility. Oct-Dec2024, Vol. 18 Issue 4, p362-366. 5p.
In this paper, a deep learning color image steganography scheme combining convolutional autoencoders and ResNet architecture is proposed. Traditional steganography methods suffer from some critical defects such as low capacity, security, and robustne
Externí odkaz:
http://arxiv.org/abs/2211.09409
Publikováno v:
In Digital Chemical Engineering June 2024 11