Výsledky vyhledávání - "Aram Mahmood"

Akademický článek

Sentiment Analysis Based on Hybrid Neural Network Techniques Using Binary Coordinate Ascent Algorithm

Autor: Mohammed Hussein Abdalla, Jafar Majidpour, Rahela Aziz Rasul, Abdulrahman A. Alsewari, Tarik Ahmed Rashid, Aram Mahmood Ahmed, Bryar A. Hassan, Noor Bahjat Tayfor, Shko Muhammed Qader, Sinan Q. Salih

Publikováno v: IEEE Access, Vol 11, Pp 134087-134099 (2023)

Sentiment analysis is a technique for determining whether data is positive, negative, or neutral using Natural Language Processing (NLP). The particular challenge in classifying huge amounts of data is that it takes a long time and requires the emplo

Externí odkaz: https://doaj.org/article/23edecc9cce4403c83eceeced6e6b3d9

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Akademický článek

Optimal reshaping and stress controlling of double-layer spherical structures under vertical loadings

Autor: Ahmed Manguri, Najmadeen Saeed, Aram Mahmood, Javad Katebi, Robert Jankowski

Publikováno v: Archives of Civil Engineering, Vol vol. 68, Iss No 4, Pp 591-606 (2022)

Architectural structures’ nodal coordinates are significant to shape appearance; vertical overloading causes displacement of the joints resulting in shape distortion. This research aims to reshape the distorted shape of a double-layer spherical num

Externí odkaz: https://doaj.org/article/a57a06fba51544448049b76a3b1c2efc

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Advanced Clustering Techniques for Speech Signal Enhancement: A Review and Metanalysis of Fuzzy C-Means, K-Means, and Kernel Fuzzy C-Means Methods

Autor: Abdullah, Abdulhady Abas, Ahmed, Aram Mahmood, Rashid, Tarik, Veisi, Hadi, Rassul, Yassin Hussein, Hassan, Bryar, Fattah, Polla, Ali, Sabat Abdulhameed, Shamsaldin, Ahmed S.

Speech signal processing is a cornerstone of modern communication technologies, tasked with improving the clarity and comprehensibility of audio data in noisy environments. The primary challenge in this field is the effective separation and recogniti

Externí odkaz: http://arxiv.org/abs/2409.19448

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Akademický článek

Scheduling of Scientific Workflows in Multi-Fog Environments Using Markov Models and a Hybrid Salp Swarm Algorithm

Autor: Omed Hassan Ahmed, Joan Lu, Aram Mahmood Ahmed, Amir Masoud Rahmani, Mehdi Hosseinzadeh, Mohammad Masdari

Publikováno v: IEEE Access, Vol 8, Pp 189404-189422 (2020)

Security attacks are a nightmare to many computing environments such as fog computing, and these attacks should be addressed. Fog computing environments are vulnerable to various kinds of DDoS attacks, which can keep fog resources busy. Typically in

Externí odkaz: https://doaj.org/article/ce6de8880c95438d87af68ae4748918f

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Multi-objective learner performance-based behavior algorithm with five multi-objective real-world engineering problems

Autor: Rahman, Chnoor M., Rashid, Tarik A., Ahmed, Aram Mahmood, Mirjalili, Seyedali

In this work, a new multiobjective optimization algorithm called multiobjective learner performance-based behavior algorithm is proposed. The proposed algorithm is based on the process of transferring students from high school to college. The propose

Externí odkaz: http://arxiv.org/abs/2201.12135

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