Výsledky vyhledávání - "El Sayed M. El-Alfy"

Akademický článek

Ensemble Multifeatured Deep Learning Models and Applications: A Survey

Autor: Satheesh Abimannan, El-Sayed M. El-Alfy, Yue-Shan Chang, Shahid Hussain, Saurabh Shukla, Dhivyadharsini Satheesh

Publikováno v: IEEE Access, Vol 11, Pp 107194-107217 (2023)

Ensemble multifeatured deep learning methodology has emerged as a powerful approach to overcome the limitations of single deep learning models in terms of generalization, robustness, and performance. This survey provides an extended review of ensembl

Externí odkaz: https://doaj.org/article/3f8adf79e69942258e87c0f1a9ad36e0

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Akademický článek

Contextual Sequence-to-Point Deep Learning for Household Energy Disaggregation

Autor: Mohammed Ayub, El-Sayed M. El-Alfy

Publikováno v: IEEE Access, Vol 11, Pp 75599-75616 (2023)

This paper examines a contextual paradigm for energy disaggregation using Non-Intrusive Load Monitoring (NILM). Due to numerous issues including low sampling rates, missing data, misaligned readings, and diverse combinations of nonlinear and multi-st

Externí odkaz: https://doaj.org/article/d1c10ff6a26a46f6ac267c910f865bba

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Akademický článek

First-Order Sparse TSK Nonstationary Fuzzy Neural Network Based on the Mean Shift Algorithm and the Group Lasso Regularization

Autor: Bingjie Zhang, Jian Wang, Xiaoling Gong, Zhanglei Shi, Chao Zhang, Kai Zhang, El-Sayed M. El-Alfy, Sergey V. Ablameyko

Publikováno v: Mathematics, Vol 12, Iss 1, p 120 (2023)

Nonstationary fuzzy inference systems (NFIS) are able to tackle uncertainties and avoid the difficulty of type-reduction operation. Combining NFIS and neural network, a first-order sparse TSK nonstationary fuzzy neural network (SNFNN-1) is proposed i

Externí odkaz: https://doaj.org/article/443ebdc1679b40008c8424aad8c5ce03

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Akademický článek

Combining Deep Learning and Multiresolution Analysis for Stock Market Forecasting

Autor: Khaled A. Althelaya, Salahadin A. Mohammed, El-Sayed M. El-Alfy

Publikováno v: IEEE Access, Vol 9, Pp 13099-13111 (2021)

Due to its complexity, financial time-series forecasting is regarded as one of the most challenging problems. During the past two decades, nonlinear modeling techniques, such as artificial neural networks, were commonly employed to solve a variety of

Externí odkaz: https://doaj.org/article/a0b752c6ed884d5ba962bcbf39e5c524

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Akademický článek

Early and Late Fusion of Emojis and Text to Enhance Opinion Mining

Autor: Sadam Al-Azani, El-Sayed M. El-Alfy

Publikováno v: IEEE Access, Vol 9, Pp 121031-121045 (2021)

Opinion mining has gained increasing importance to draw insights from social media content to support decision making. Despite the explosive growth of efforts on linguistic analysis to detect and track people’s opinions, more specifically when deal

Externí odkaz: https://doaj.org/article/cf54f2ac261648feb24aebb836c33b3f

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Akademický článek

Enhanced Video Analytics for Sentiment Analysis Based on Fusing Textual, Auditory and Visual Information

Autor: Sadam Al-Azani, El-Sayed M. El-Alfy

Publikováno v: IEEE Access, Vol 8, Pp 136843-136857 (2020)

With the widespread of online videos and digital transformation, video informatics and analytics have recently gained substantially increasing importance with an impressive success in a variety of tasks such as digital marketing, video surveillance a

Externí odkaz: https://doaj.org/article/8b418f73ac084f7bba5af4938a43a853

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