Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Raihan Sayeed Khan"'
Publikováno v:
Beilstein Journal of Nanotechnology, Vol 11, Iss 1, Pp 1644-1654 (2020)
The dimensions of amorphized regions in phase-change memory cells are critical parameters to design devices for different applications. However, these dimensions are difficult to be determined by direct imaging. In this work, the length of amorphized
Externí odkaz:
https://doaj.org/article/9fe7360cb8084aee8b8328cf295220d5
Publikováno v:
Atmosphere, Vol 12, Iss 10, p 1239 (2021)
This study presents a comprehensive investigation of multiple Artificial Intelligence (AI) techniques—decision tree, random forest, gradient boosting, and neural network—to generate improved precipitation estimates over the Upper Blue Nile Basin.
Externí odkaz:
https://doaj.org/article/1144866a98eb40fda0b4704b262ec7ab
Publikováno v:
Applied Computing and Geosciences, Vol 1, Iss , Pp - (2019)
High precision and reliable wind speed forecasting is a challenge for meteorologists. We used multiple nonparametric tree-based machine learning techniques, for predicting the maximum wind speed at 10 m using selected convective weather variables. An
Externí odkaz:
https://doaj.org/article/aaef31d04d2048358c7be1061e38f37b
Publikováno v:
Journal of Renewable Energy, Vol 2015 (2015)
The size optimization and economic evaluation of the solar-wind hybrid renewable energy system (RES) to meet the electricity demand of 276 kWh/day with 40 kW peak load have been determined in this study. The load data has been collected from the mote
Externí odkaz:
https://doaj.org/article/359afcb4dd6641579d78e2b9a7d610d2
Autor:
Faruk Dirisaglik, Jake Scoggin, Tashfiq Bin Kashem, Nafisa Noor, Anna Gorbenko, Raihan Sayeed Khan, Sadid Muneer, Lhacene Adnane, Adam Cywar, Ali Gokirmak, Helena Silva
Publikováno v:
IEEE Transactions on Nanotechnology. 20:75-82
The rapid quench from melt associated with the reset operation in phase change memory is a suitable physical process to leverage programming variability for hardware security. We have experimentally characterized cell-to-cell programming variability
Publikováno v:
IEEE Transactions on Nanotechnology. 19:820-828
We performed gradual programming of phase change memory (PCM) line cells with repeated pulses to transition from the crystalline to the amorphous state through various intermediate states and analyzed the variability in programming trends for differe
Autor:
Abul Ehsan Bhuiyan, Raihan Sayeed Khan
Publikováno v:
Atmosphere, Vol 12, Iss 1239, p 1239 (2021)
Atmosphere
Volume 12
Issue 10
Atmosphere
Volume 12
Issue 10
This study presents a comprehensive investigation of multiple Artificial Intelligence (AI) techniques—decision tree, random forest, gradient boosting, and neural network—to generate improved precipitation estimates over the Upper Blue Nile Basin.
Autor:
Esraa Elsanadidy, Islam M. Mosa, Bowen Hou, Tobias Schmid, Maher F. El-Kady, Raihan Sayeed Khan, Andreas Haeberlin, Anastasios V. Tzingounis, James F. Rusling
Publikováno v:
Cell Reports Physical Science. 3:101099
Publikováno v:
DRC
Phase change memory (PCM) is a high speed, high endurance, high density non-volatile memory technology that utilizes chalcogenide materials such as Ge 2 Sb 2 Te 5 (GST) that can be electrically cycled between highly resistive amorphous and low resist
Publikováno v:
Materials Science in Semiconductor Processing. 134:106042
In this work, two dimensional six-contact phase change devices that can perform toggle logic operations is analyzed through 2D electrothermal simulations with dynamic materials modelling, integrated with CMOS access circuitry. Toggle configurations a