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Multi-IsnadSet MIS for Sahih Muslim Hadith with chain of narrators, based on multiple ISNAD
Published 2024“…The graph representation of the authentic and manually curated dataset will open ways for the development of computational models that could identify the significance of a chain and a narrator. …”
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Comparative Study of Deep Learning Models for Unimodal & Multimodal Disaster Data for Effective Disaster Management
Published 2021“…It was also found that mapping between the diverse humanitarian categories and consolidating smaller datasets with larger ones significantly improves the models’ performance when compared to individual datasets. …”
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Cyberbullying Detection Model for Arabic Text Using Deep Learning
Published 2023“…The proposed hybrid model improves the accuracy of all the studied datasets and can be integrated into different social media sites to automatically detect cyberbullying from Arabic social datasets. …”
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Cyberbullying Detection Model for Arabic Text Using Deep Learning
Published 2023“…The proposed hybrid model improves the accuracy of all the studied datasets and can be integrated into different social media sites to automatically detect cyberbullying from Arabic social datasets. …”
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An Analysis of Thermal Comfort at the School Outdoor Spaces: A Case Study of the American School of Creative Science, Dubai, UAE
Published 2022“…Additionally, the addition of vegetation alone had an impact on the microclimate decreasing it by 5%. Thus, combining the strategies of vegetation, shade, green facades/roofs and small water features resulted in 5% to 25% reduction in PET depending on the corresponding location being analyzed. …”
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A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI
Published 2025“…The paper uses naive Bayes, Support Vector Machine (SVM), and Random Forest (RF) as classifiers after careful investigation. Three different publicly available datasets have been used based on the age group to create the best predicting model for each case. …”
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Automated layer-wise solution for ensemble deep randomized feed-forward neural network
Published 2022“…The ensemble deep learning framework significantly improves the performance of randomized neural networks. …”
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Investigating The Efficacy of Ruxolitinib and CHIR-99021 in Targeting Pediatric Neuroblastoma Stem Cells
Published 2021“…Western blot analysis showed significant decrease in stem cell markers SOX-2 and Oct-4, and tumorigenic protein HMGA1, whereas it showed significant increase in apoptotic markers cleaved PARP and cleaved caspase-3. …”
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Cyberbullying Detection in Arabic Text using Deep Learning
Published 2023“…The proposed hybrid model improves the accuracy of all the studied datasets and can be integrated into different social media sites to automatically detect cyberbullying from Arabic social media posts. …”
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Hydroxyurea Use in Lebanese Patients With [beta]-Thalassemia Intermedia
Published 2006“…Hematologic toxicity was defined as a decrease in the absolute neutrophil count to below 1.5 × 103/mm3 or a decrease in the platelet count to below 100 × 103. …”
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An End-to-End Deep Learning Framework for Real-Time Denoising of Heart Sounds for Cardiac Disease Detection in Unseen Noise
Published 2023“…Two different noisy datasets were prepared for experimental evaluation by mixing unseen lung sounds and hospital ambient noises with the clean heart sound recordings. …”
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Formation of Trihalomethanes during Seawater Chlorination
Published 2010“…Rapid decrease of UV absorbance at 254 nm was also observed during seawater chlorination which is indicative of natural organic matter degradation into small organic molecules including THMs and other by-products. …”
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Dual-attention Network for View-invariant Action Recognition
Published 2023“…The cross-attention module learns view-invariant attention maps and generates discriminative features for semantic representations of actions in different views. We exhaustively evaluate our proposed approach on the NTU-60, NTU-120, and UESTC large-scale challenging datasets with multi-type evaluation metrics including Cross-Subject, Cross-View, Cross-Set, and Arbitrary-view. …”
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Improved properties and salt rejection of polysulfone membrane by incorporation of hydrophilic cobalt-doped ZnO nanoparticles
Published 2024“…Overall, the results of this study showed that embedding a small amount of Co<sup>2+</sup> ions doped ZnO NPs with PSf has significant potential to be applied in industrial-scale membrane applications.…”
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A novel hybrid methodology for fault diagnosis of wind energy conversion systems
Published 2023“…Then, the sensitive and significant characteristics are transmitted to the RF model for classification purposes. …”
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Past, present and future global mangrove primary productivity
Published 2024“…However, significant regional changes were identified, including substantial increases in NPP in the Southwest Australian Shelf (60.58 ± 97.9 %), the Warm Temperate Northeast Pacific (43.75 ± 65.7 %), and the Warm Temperate Northwest Pacific (31.55 ± 55.7 %), as well as decreases in <u>Southeast Asian </u>provinces like the Java Transitional (11.45 ± 6.2 %) and Western Coral Triangle (7.61 ± 9.6 %). …”
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Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data
Published 2022“…This work focuses on a generic class of machine learning models that are trained using gradient-descent-based schemes while considering the practical constraints of non-uniformly distributed data across different users. We evaluate the proposed system using two real-world datasets, and we show that it outperforms state-of-the-art FL solutions. …”
