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Using fuzzy reasoning to improve redundancy elimination for data deduplication in connected environments
Published 2023“…These call for data pre-processing and filtering solutions to reduce the amount of data being handled and transmitted over the network. …”
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DASSI: differential architecture search for splice identification from DNA sequences
Published 2022“…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. …”
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Mobile Robot Navigation in Dynamic Environments Using an Improved RRT* Approach
Published 2018Get full text
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65
Minimum marginal abatement cost curves (Mini-MAC) for CO2 emissions reduction planning
Published 2022“…The benefits of the proposed Mini-MAC curves over alternative methods stem from their richness in terms of assessing CCUS, energy management options, and various integration options. …”
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66
LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental Stress
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67
Cross-hole sonic logging and frequency tomography analysis of drilled shaft foundations to better evaluate anomalies locations
Published 2014“…Cross-hole sonic logging (CSL) has over recent years become the standard method for evaluating the integrity of bridge drilled shafts. …”
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A Critical Analysis of Generative AI: Challenges, Opportunities, and Future Research Directions
Published 2025“…Some of the most pressing challenges include ethical consideration, the rise of disinformation (including deepfakes), concerns over Intellectual Property (IP) rights, cybersecurity risks, bias and discrimination. …”
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Analysis and improvement of steady-state and transient biofilter models for VOC control
Published 2024Get full text
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70
LCDnet: a lightweight crowd density estimation model for real-time video surveillance
Published 2023“…In this paper, we propose (i) a Lightweight Crowd Density estimation model (LCDnet) for real-time video surveillance, and (ii) an improved training method using curriculum learning (CL). LCDnet is trained using CL and evaluated over two benchmark datasets i.e., DroneRGBT and CARPK. …”
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71
Intelligent Rapidly-Exploring Random Tree Star Algorithm
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72
Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks
Published 2024“…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. …”
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Fuzzy Data Deduplication at Edge Nodes in Connected Environments
Published 2023“…The huge amount of data produced by such systems calls for solutions to reduce the amount of data being handled and transmitted over the network. In this study, we investigate data deduplication as a prominent pre-processing method that can address such a challenge. …”
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The clinical and genetic characteristics of permanent neonatal diabetes (PNDM) in the state of Qatar
Published 2019“…The aims of the current study are to identify patients with NDM diagnosed between 2001 and 2016, and examine their clinical and genetic characteristics.</p><h3>Methods</h3><p dir="ltr">To calculate the incidence of PNDM, all patients with PNDM diagnosed between 2001 and 2016 were compared to the total number of live births over the 16-year-period. …”
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Business Continuity Management Maturity Model for Banks in UAE
Published 2008“…They are faced with increasing levels of global competition, demanding customers and employees, shrinking product lifecycles and decreasing acceptable response times (Lockamy & McCormack, 2004) They have employees and deal with clients, suppliers & vendors from all over the world. They use modern data processing systems to provide their customers with superior services. …”
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DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins
Published 2025“…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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On Leveraging the Computational Potential of Fog-Enabled Vehicular Networks
Published 2019“…The advent of autonomous vehicles demands powerful processing capabilities of on-board units to handle the dramatic increase of sensor data used to make safe self-driving decisions. …”
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