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pro vyhledávání: '"Sultana, Nasrin"'
Autor:
Sultana, Nasrin, Siddik, Md. Abubakar
Publikováno v:
International Journal of Research and Review. 2024; 11(1): 140- 146
In the optical (380-700 nm) region, a simulation study was conducted to assess the low-signal gain, power conversion efficiency (PCE), and optical output power of a praseodymium-doped fiber optic amplifier (PDFA). The PDFA performance was assessed us
Externí odkaz:
http://arxiv.org/abs/2402.02542
Autor:
Siddik, Md. Abubakar, Hasi, Most. Anju Ara, Nitu, Jakia Akter, Sarker, Sumonto, Sultana, Nasrin, Ali, Emarn
The recently released IEEE 802.15.6 standard specifies several physical (PHY) layers and medium access control (MAC) layer protocols for variety of medical and non-medical applications of Wireless Body Area Networks (WBAN). The medical applications o
Externí odkaz:
http://arxiv.org/abs/2209.00247
Model-free deep-reinforcement-based learning algorithms have been applied to a range of COPs~\cite{bello2016neural}~\cite{kool2018attention}~\cite{nazari2018reinforcement}. However, these approaches suffer from two key challenges when applied to comb
Externí odkaz:
http://arxiv.org/abs/2205.15656
Deep learning approaches have shown promising results in solving routing problems. However, there is still a substantial gap in solution quality between machine learning and operations research algorithms. Recently, another line of research has been
Externí odkaz:
http://arxiv.org/abs/2109.08345
Publikováno v:
In International Journal of Pediatric Otorhinolaryngology July 2024 182
Autor:
Sultana, Nasrin1 (AUTHOR) nasrin.sultana@hec.ca, Turkina, Ekaterina2 (AUTHOR)
Publikováno v:
Administrative Sciences (2076-3387). Dec2023, Vol. 13 Issue 12, p249. 23p.
Deep reinforcement learning (DRL) has been used to learn effective heuristics for solving complex combinatorial optimisation problem via policy networks and have demonstrated promising performance. Existing works have focused on solving (vehicle) rou
Externí odkaz:
http://arxiv.org/abs/2012.13269
Autor:
Newar, Rachita, Sultana, Nasrin, Das, Saikat, Gogoi, Bhoirob, Islam, Nazim Forid, Sarma, Hemen, Baruah, Arabinda
Publikováno v:
In Journal of Environmental Chemical Engineering February 2024 12(1)
The Travelling Salesman Problem (TSP) is a classical combinatorial optimisation problem. Deep learning has been successfully extended to meta-learning, where previous solving efforts assist in learning how to optimise future optimisation instances. I
Externí odkaz:
http://arxiv.org/abs/2010.12214
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