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- 저자 : S. Negm (검색결과 2 건)
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Hilal Anwer Mustafa,Alzahrani Jaber S.,Alsolai Hadeel,Negm Noha,Nafie Faisal Mohammed,Motwakel Abdelwahed,Yaseen Ishfaq,Hamza Manar Ahmed 한국컴퓨터산업협회 2023 Human-centric Computing and Information Sciences Vol.13 No.-
In recent times, numerous decision-making procedures are not only based on the decision-making of choices, but also public perceptions of possible solutions. In a multi-criteria-based decision-making system, user preferences have been deeply considered. Sentiment analysis, on either side, is similar to natural language processing dedicated to the creation of methods capable of assessing evaluations and determining their intensity. The main aim of this research is to make efficient decisions using social media tweets. The proposed method uses the SentiRank method and neutrosophic set theory to make decisions and rank the reviews. Novel multi-criteria-based neutrosophic theory is used in this research for decision-making. An assembled neutral vocabulary, and the adapted VADER, are used to create Neutro-VADER, a novel version. Every evaluation of a product feature is given a positive, neutral, or negative scores of sentiment by the Neutro-VADER. A unique idea at this level is to use the positive, neutral, and negative scores on emotion to represent reality, uncertainty, and falsehood participation levels of a neutrosophic number. The testing findings support the value of sentiment data through reviews in the ranking procedure. The performance metrics used in the systems are precision, recall, and F1 measures and accuracy for evaluating the aspect detection module. The system performs better in food, service, and pricing categories, whereas the anecdotes group gives bad results. F1 and accuracy level shows better results in the proposed system by using SentiRank and the neutrosophic set theory method.
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Surface modification of CdSe nanocrystals: Application to polymer solar cell
M. Nabil,Shaimaa A. Mohamed,K. Easawi,Salah S.A. Obayya,S. Negm,H. Talaat,M.K. El-Mansy 한국물리학회 2020 Current Applied Physics Vol.20 No.3
The optimum choice of the ligand that stabilizes the colloidal quantum dots and passivate the surface is crucial for tuning the energy level and remain elusive. The atomic ligand passivation with iodide remains superior over other surface treatments. Herein, we applied the iodide ligand to passivate the CdSe nanocrystals with an excitonic absorption at 2.1 eV by a liquid-liquid extraction process. We took the view of the change in the optical and structural properties upon ligand exchange. Finally, we tested the performance of the iodide treated dots by employing it in an inverted structure polymer solar cell based on P3HT: PCBM.
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