Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Pervez Akhter"'
Autor:
Sheharyar Khan, Zheng Jiangbin, Farhan Ullah, Muhammad Pervez Akhter, Sohrab Khan, Fuad A. Awwad, Emad A.A. Ismail
Publikováno v:
PeerJ Computer Science, Vol 10, p e2211 (2024)
In the distributed computing era, cloud computing has completely changed organizational operations by facilitating simple access to resources. However, the rapid development of the IoT has led to collaborative computing, which raises scalability and
Externí odkaz:
https://doaj.org/article/67e0158d2de9414f81f57f09094aa610
Publikováno v:
Applied Sciences, Vol 13, Iss 14, p 8121 (2023)
Earthquakes threaten people, homes, and infrastructure. Earthquake detection is a complex task because it does not show any specific pattern, unlike object detection from images. Convolutional neural networks have been widely used for earthquake dete
Externí odkaz:
https://doaj.org/article/5cb129ebfc4b4dbb80dfaf1e2e32f815
Autor:
Khan, Sheharyar, Jiangbin, Zheng, Ullah, Farhan, Pervez Akhter, Muhammad, Khan, Sohrab, Awwad, Fuad A., Ismail, Emad A.A.
Publikováno v:
PeerJ Computer Science; Aug2024, p1-64, 64p
Document-Level Text Classification Using Single-Layer Multisize Filters Convolutional Neural Network
Autor:
Muhammad Pervez Akhter, Zheng Jiangbin, Irfan Raza Naqvi, Mohammed Abdelmajeed, Atif Mehmood, Muhammad Tariq Sadiq
Publikováno v:
IEEE Access, Vol 8, Pp 42689-42707 (2020)
The rapid growth of electronic documents are causing problems like unstructured data that need more time and effort to search a relevant document. Text Document Classification (TDC) has a great significance in information processing and retrieval whe
Externí odkaz:
https://doaj.org/article/d2a63534056f41738e45060a290ed419
Autor:
Muhammad Pervez Akhter, Zheng Jiangbin, Irfan Raza Naqvi, Mohammed Abdelmajeed, Muhammad Tariq Sadiq
Publikováno v:
IEEE Access, Vol 8, Pp 91213-91226 (2020)
In recent years, unethical behavior in the cyber-environment has been revealed. The presence of offensive language on social media platforms and automatic detection of such language is becoming a major challenge in modern society. The complexity of n
Externí odkaz:
https://doaj.org/article/099029b801e5421e8ffa3c86df39016b
Autor:
Muhammad Yaqub, Feng Jinchao, Shahzad Ahmed, Kaleem Arshid, Muhammad Atif Bilal, Muhammad Pervez Akhter, Muhammad Sultan Zia
Publikováno v:
Applied Sciences, Vol 12, Iss 17, p 8841 (2022)
Generative adversarial networks (GAN), which are fueled by deep learning, are an efficient technique for image reconstruction using under-sampled MR data. In most cases, the performance of a particular model’s reconstruction must be improved by usi
Externí odkaz:
https://doaj.org/article/f057a33b9325482591c93369ddb6088d
Publikováno v:
Sensors, Vol 22, Iss 17, p 6482 (2022)
Earthquakes threaten people, homes, and infrastructure. Early warning systems provide prior warning of oncoming significant shaking to decrease seismic risk by providing location, magnitude, and depth information of the event. Their usefulness depend
Externí odkaz:
https://doaj.org/article/cadeac0535744c2398936b278e8d02fe
Publikováno v:
Applied Sciences, Vol 12, Iss 15, p 7548 (2022)
Earthquake is a major hazard to humans, buildings, and infrastructure. Early warning systems should detect an earthquake and issue a warning with earthquake information such as location, magnitude, and depth. Earthquake detection from raw waveform da
Externí odkaz:
https://doaj.org/article/8b8509cabb924bdfb736eba5edd928ca
Publikováno v:
PeerJ Computer Science, Vol 7, p e425 (2021)
The popularity of the internet, smartphones, and social networks has contributed to the proliferation of misleading information like fake news and fake reviews on news blogs, online newspapers, and e-commerce applications. Fake news has a worldwide i
Externí odkaz:
https://doaj.org/article/f1a5c2a49a8f4024a352b027db3cd718
Publikováno v:
Multimedia Systems. 28:1925-1940
With the increase in the culture of social media and netizen, every day, millions of comments are posted on the uploaded posts. The use of abusive language in user comments has been increased rapidly. Abusive language in online comments initiates cyb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe6ecafdab41e5229703db37d8c69a2e
https://doi.org/10.1007/s00530-021-00784-8
https://doi.org/10.1007/s00530-021-00784-8