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Sentiment Analysis of Dialectal Speech: Unveiling Emotions through Deep Learning Models
Published 2024“…The results demonstrate the superiority of the hybrid CNN-BI-LSTM model, achieving an accuracy of 93%, significantly outperforming individual deep-learning models such as CNN (87%) and BI-LSTM (83%). …”
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The Anti-Tumor Agent Sodium Selenate Decreases Methylated PP2A, Increases GSK3βY216 Phosphorylation, Including Tau Disease Epitopes and Reduces Neuronal Excitability in SHSY-5Y Neu...
Published 2019“…Somewhat surprisingly, the catalytically active form, methylated PP2A (mePP2A) was significantly decreased. In close correlation to these data, the phosphorylation state of two substrate proteins, sensitive to PP2A activity, GSK3β and Tau were found to be increased. …”
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A Novel Transformer-Based Approach for Adult’s Facial Emotion Recognition
Published 2025“…An ablation study further validates the contribution of each model component, and comparisons with CNN-based and transformer-based approaches confirm the effectiveness of the model. …”
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Blue collar laborers’ travel pattern recognition: Machine learning classifier approach
Published 2021“…Furthermore, whilst the Bagged Clusters and Pamk Clusters techniques on the three attributes yielded similar results, the Cmeans Clusters differed significantly in a number of the clusters. Applying such pattern recognition models on big and complex activity datasets could assist transport planners to understand the travel needs of segments of the population well and formulating better-informed strategies.…”
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Dual-attention Network for View-invariant Action Recognition
Published 2023“…Modeling spatiotemporal dynamics of body joints and minimizing representation discrepancy between different views could be a valuable solution for view-invariant human action recognition. …”
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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity
Published 2024“…Here, we combined molecular dynamics (MD) simulation and mutational analysis to show that the R162A mutation results in a decreased but stable <u>bioluminescence </u>activity of NLuc in living cells and in vitro. …”
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Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex
Published 2022“…In this regard, the recent SARS-CoV-2 alpha, beta, and gamma variants (B.1.1.7, B.1.351, and P.1 lineages, respectively) are of great significance in that they contain several mutations that increase their transmission rates as evident from clinical reports. …”
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Arabic Dialect Speech-Text Recognition Using Deep Learning
Published 2024“…Traditional speech recognition models struggle in this domain, prompting an exploration of deep learning approaches, specifically the TestRCNN and Hybrid TestRCNN-CNN Models. …”
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Continuous Speech Recognition for the Lebanese Dialect: A Transfer Learning Approach
Published 2024“…Automatic Speech Recognition (ASR) has seen significant advancements over the past two decades, enabling systems to accurately transcribe and predict word sequences from input speech. …”
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Kefir exhibits anti‑proliferative and pro‑apoptotic effects on colon adenocarcinoma cells with no significant effects on cell migration and invasion
Published 2014“…Results from RT‑PCR showed that kefir decreases the expression of transforming growth factor α (TGF‑α); and transforming growth factor‑β1 (TGF‑β1) in HT‑29 cells. …”
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PublicVision: A Secure Smart Surveillance System for Crowd Behavior Recognition
Published 2024“…<p dir="ltr">Crowd behavior recognition plays a critical role in various domains, including public safety, event management, and urban planning. …”
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Character convolutions for Arabic Named Entity Recognition with Long Short-Term Memory Networks
Published 2019“…Named Entity Recognition (NER) is a significant information extraction task since it is an important component of many natu ral language processing applications, such as Information Retrieval, Question Answering and Speech Recognition. …”
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An enhanced ensemble deep random vector functional link network for driver fatigue recognition
Published 2023“…The proposed FGloWD-edRVFL network was evaluated on the challenging cross-subject driver fatigue recognition tasks. The results indicated that the proposed model could boost the recognition performance, significantly outperforming all strong baselines. …”