Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks by Mohamed Massaoudi (16888710)

“…In a postfault scenario, a copula of processing blocks is implemented to ensure the reliability of the proposed method where high-importance features are incorporated into the TCN-GWO model. …”

Brain Connectivity Analysis Under Semantic Vigilance and Enhanced Mental States by Yahya, Fares

“…In this paper, we present a method to quantify the coupling between brain regions under vigilance and enhanced mental states by utilizing partial directed coherence (PDC) and graph theory analysis (GTA). …”
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Online Video-Based Handwriting Recognition System by Hajjaj, Husamudin

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Resolving XML semantic ambiguity by Charbel, Nathalie

“…XML semantic-aware processing has become a motivating and important challenge in Web data management, data processing, and information retrieval. …”
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Reduction of laboratory utilization in the intensive care unit by Diab, Khalil

“…Patients: All patients admitted to the MICU. Methods: We consistently educated residents, faculty, and staff about laboratory test costs. …”
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Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring by Muhammad E.H. Chowdhury (17151154)

“…<p dir="ltr">One of the major causes of death all over the world is heart disease or cardiac dysfunction. …”

DASSI: differential architecture search for splice identification from DNA sequences by Shabir Moosa (14153316)

“…The demand for robust algorithms over the recent years has brought huge success in the field of Deep Learning (DL) in solving many difficult tasks in image, speech and natural language processing by automating the manual process of architecture design. …”

DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins by Samir Brahim, Belhaouari

“…These algorithms were employed to distinguish and categorize bacterial endotoxins, following appropriate spectral pre-processing, which involved novel filtering techniques and advanced feature extraction methods. …”
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Modelling of pollutant transport in compound open channels by Chatila, Jean Georges

“…These equations are derived in three dimensions (3-D), however, in order to simplify the problem and ease the computational effort, the equations are integrated over the depth (depth-averaged). Most finite difference methods for calculating the convection portion of the transport equation are plagued by artificial (numerical) diffusion. …”
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Defense against adversarial attacks: robust and efficient compressed optimized neural networks by Insaf Kraidia (19198012)

“…Compared to state-of-the-art methods, the proposed method achieves the lowest perplexity (14.28), the highest accuracy (93.72%), and an 8 × speedup in the central processing unit. …”

Preanalytical Stability of CSF Total and Oligomeric Alpha-Synuclein by Ilham Y. Abdi (14778898)

“…Interestingly, oligomeric-alpha-synuclein levels remained relatively stable over multiple tube transfers and upon delayed storage.…”

Almost Linear Semantic XML Keyword Search by Tekli, Joe

“…Yet, few of the existing approaches consider XML semantics, and the methods that process semantics generally rely on computationally expensive word sense disambiguation (WSD) techniques, or apply semantic analysis in one stage only: performing query relaxation/refinement over the bag of words retrieval model, to reduce processing time. …”
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Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying by Tekli, Joe

“…Yet, few of the existing approaches consider XML semantics, and the methods that process semantics generally rely on computationally expensive word sense disambiguation (WSD) techniques, or apply semantic analysis in one stage only: performing query relaxation/refinement over the bag of words retrieval model, to reduce processing time. …”
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Zero-shot motor health monitoring by blind domain transition by Serkan Kiranyaz (3762058)

“…To address this need, in this pilot study, we propose a zero-shot bearing fault detection method that can detect any fault on a new (target) machine regardless of the working conditions, sensor parameters, or fault characteristics. …”

Agent Productivity Modeling in a Call Center Domain Using Attentive Convolutional Neural Networks by Ahmed , Abdelrahman

“…In this paper, we propose an objective framework for modeling agent productivity for real estate call centers based on speech signal processing. The problem is formulated as a binary classification task using deep learning methods. …”
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Innovation Ecosystems in Hydrocarbon-Based Economies: Opportunities and Challenges by Ahmed Al-Sulaiti (17151061)

“…This study used a systematic literature review approach that combines bibliographic coupling and content analysis methods, drawing on over 40 studies to identify five streams of current innovation ecosystem research: Technology innovation, platform innovation ecosystems, regional development, innovation ecosystem conceptualization and theorization, and entrepreneurship and innovation. …”

The Integration of AI Into Quality Management in Industries Like Automotive, Healthcare, and Defence by ROBARI, SAUD HASSAN

“…The research analyses how AI technologies—such as machine learning, computer vision, and natural language processing—are reshaping quality assurance by enabling predictive and proactive strategies over traditional reactive methods. …”
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Deep learning for brain electron microscopy segmentation: Advances, challenges, and future directions in connectomics and ultrastructure analysis by Uzair Shah (15740699)

“…These advances drive innovation in 3D computer vision, establish new benchmarks for volumetric instance segmentation, and address fundamental challenges in processing massive biological datasets. Our unified benchmarks and comprehensive analysis provide a foundation for systematic progress tracking and evidence-based method selection, positioning brain EM segmentation to enable large-scale connectomics studies and detailed neuroanatomical mapping across scales.…”

Authentic leadership. (c2012) by Armstrong, April Regina

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Breaking up prolonged sitting with moderate-intensity walking improves attention and executive function in Qatari females by Bryna C. R. Chrismas (6820142)

“…In a cross-over randomised manner, experimental visits two and three were identical, except participants either remained seated for 5-h (SIT) or interrupted their sitting every 30-min with a 3-min moderate-intensity walk (WALK) on a motorised treadmill. …”