Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Muhammad Tabish Niaz"'
Publikováno v:
Sensors, Vol 20, Iss 18, p 5338 (2020)
Hybrid pre-coding strategies are considered as a potential solution for combating path loss experienced by Massive MIMO systems operating at millimeter wave frequencies. The partially connected structure is preferred over the fully connected structur
Externí odkaz:
https://doaj.org/article/5308035d0351446ea4093e508ea1c463
Publikováno v:
Energies, Vol 12, Iss 20, p 3819 (2019)
Machine-type communications (MTC) enable the connectivity and control of a vast category of devices without human intervention. This study considers a hybrid coexisting wireless cellular network for traditional and MTC devices along with the need for
Externí odkaz:
https://doaj.org/article/44260a89b774413dadeb26d6dc873b85
Publikováno v:
Energies, Vol 12, Iss 9, p 1707 (2019)
Bluetooth Low Energy (BLE) has become ubiquitous in the majority of mobile devices that connect wirelessly. With the increase in the number of devices, the probability of congestion also increases in a network. Data channels of the BLE use frequency
Externí odkaz:
https://doaj.org/article/e44866d85d1b4f80a6971bccd0b0a4c2
Publikováno v:
Energies, Vol 10, Iss 2, p 254 (2017)
Visible light communication (VLC) has recently gained significant academic and industrial attention. VLC has great potential to supplement the functioning of the upcoming radio-frequency (RF)-based 5G networks. It is best suited for home, office, and
Externí odkaz:
https://doaj.org/article/84e40664604a4adc833c08a49c59ecc9
Autor:
MuhibUr Rahman, Hamza Ahmad, Hyung Seok Kim, Muhammad Tabish Niaz, Amir Haider, Mahdi Naghshvarianjahromi
Publikováno v:
Computers, Materials & Continua. 67:2243-2254
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a1a147990544d76622c6693d6a72f8e
https://doi.org/10.32604/cmc.2021.015613
https://doi.org/10.32604/cmc.2021.015613
Autor:
Sitara Afzal, Irfan Mehmood, Yunyoung Nam, Muazzam Maqsood, Sadaf Yasmin, Muhammad Tabish Niaz, Ayesha Jabeen
Publikováno v:
Computers, Materials & Continua. 67:1191-1206
Stock market forecasting is an important research area, especially for better business decision making Efficient stock predictions continue to be significant for business intelligence Traditional short-term stock market forecasting is usually based o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6cc3a7145facd23a01559e041081177
https://doi.org/10.32604/cmc.2021.014598
https://doi.org/10.32604/cmc.2021.014598
Publikováno v:
Computers, Materials & Continua. 67:1747-1758
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d75745b072fe5081b988efa5471224b
https://doi.org/10.32604/cmc.2021.015611
https://doi.org/10.32604/cmc.2021.015611
Publikováno v:
Computers, Materials & Continua. 66:2301-2315
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66ea64f9b2ecdbd9d0a6f94e0bd55314
https://doi.org/10.32604/cmc.2021.013966
https://doi.org/10.32604/cmc.2021.013966
Publikováno v:
IET Optoelectronics. 11:129-133
This study proposes a receiver for an asymmetrically clipped optical orthogonal frequency-division multiplexing system that utilises the total least-squares (TLS) technique. Commonly used estimation techniques such as least squares, diversity combini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c23456e50fac8a64bcccad558dc231a8
https://doi.org/10.1049/iet-opt.2015.0133
https://doi.org/10.1049/iet-opt.2015.0133
Publikováno v:
Energies
Volume 12
Issue 20
Energies, Vol 12, Iss 20, p 3819 (2019)
Volume 12
Issue 20
Energies, Vol 12, Iss 20, p 3819 (2019)
Machine-type communications (MTC) enable the connectivity and control of a vast category of devices without human intervention. This study considers a hybrid coexisting wireless cellular network for traditional and MTC devices along with the need for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17ed41ce93193a71a3cf069ee6904433