Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Shams, Abdullah Bin"'
ABO3 Perovskites' Formability Prediction and Crystal Structure Classification using Machine Learning
Renewable energy sources are of great interest to combat global warming, yet promising sources like photovoltaic (PV) cells are not efficient and cheap enough to act as an alternative to traditional energy sources. Perovskite has high potential as a
Externí odkaz:
http://arxiv.org/abs/2202.10125
Human Activity Recognition (HAR) research has gained significant momentum due to recent technological advancements, artificial intelligence algorithms, the need for smart cities, and socioeconomic transformation. However, existing computer vision and
Externí odkaz:
http://arxiv.org/abs/2202.08146
Autor:
Adib, Quazi Adibur Rahman, Tasmi, Sidratul Tanzila, Bhuiyan, Md. Shahriar Islam, Raihan, Md. Mohsin Sarker, Shams, Abdullah Bin
COVID-19 pandemic is an ongoing global pandemic which has caused unprecedented disruptions in the public health sector and global economy. The virus, SARS-CoV-2 is responsible for the rapid transmission of coronavirus disease. Due to its contagious n
Externí odkaz:
http://arxiv.org/abs/2111.11477
Autor:
Shams, Abdullah Bin, Raihan, Md. Mohsin Sarker, Khan, Md. Mohi Uddin, Monjur, Ocean, Preo, Rahat Bin
To contain the spread of the virus and stop the overcrowding of hospitalized patients, the coronavirus pandemic crippled healthcare facilities, mandating lockdowns and promoting remote work. As a result, telehealth has become increasingly popular for
Externí odkaz:
http://arxiv.org/abs/2109.07846
Autor:
Zaman, S. M Mehedi, Qureshi, Wasay Mahmood, Raihan, Md. Mohsin Sarker, Monjur, Ocean, Shams, Abdullah Bin
Cardiovascular disease, especially heart failure is one of the major health hazard issues of our time and is a leading cause of death worldwide. Advancement in data mining techniques using machine learning (ML) models is paving promising prediction a
Externí odkaz:
http://arxiv.org/abs/2108.13367
Rest is essential for a high-level physiological and psychological performance. It is also necessary for the muscles to repair, rebuild, and strengthen. There is a significant correlation between the quality of rest and the resting posture. Therefore
Externí odkaz:
http://arxiv.org/abs/2108.11604
Publikováno v:
Applied Intelligence for Industry 4.0. Chapman and Hall/CRC. 2023
The Reverse Transcription Polymerase Chain Reaction (RTPCR)} test is the silver bullet diagnostic test to discern COVID infection. Rapid antigen detection is a screening test to identify COVID positive patients in little as 15 minutes, but has a lowe
Externí odkaz:
http://arxiv.org/abs/2108.05660
Downlink Performance Enhancement of High Velocity Users in 5G Networks by Configuring Antenna System
Autor:
Anzum, Mariea Sharaf, Rafique, Moontasir, Sarder, Md. Asif Ishrak, Tajrian, Fehima, Shams, Abdullah Bin
A limitation of bandwidth in the wireless network and the exponential rise in the high data rate requirement prompted the development of Massive Multiple-Input-Multiple-Output (MIMO) technique in 5G. Using this method the ever rising data rate can be
Externí odkaz:
http://arxiv.org/abs/2108.04451
Autor:
Tajrian, Fehima, Sarder, Md. Asif Ishrak, Anzum, Mariea Sharaf, Rafique, Moontasir, Shams, Abdullah Bin
With the occupancy of the existing frequency spectrum the demands of the skyrocketing data traffic paved the path for 5G millimeter Wave (mmWave) technology. The wide frequency spectrum and high directivity can elevate the mean data rate. This perfor
Externí odkaz:
http://arxiv.org/abs/2108.02611
Autor:
Sarder, Md. Asif Ishrak, Tajrian, Fehima, Rafique, Moontasir, Anzum, Mariea, Shams, Abdullah Bin
An exponential increase in the data rate demand prompted several technical innovations. Multi User Multiple Input Multiple Output (MU-MIMO) is one of the most promising schemes. This has been evolved into Massive MIMO technology in 5G to further stre
Externí odkaz:
http://arxiv.org/abs/2108.02804