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Dynamic model scaling based on segmented tumor size for breast cancer detection
Published 2025“…<p>The accuracy of breast cancer detection in histopathology images presents a critical challenge and remains a central focus in advancements in computational pathology. Scaling Convolutional Neural Networks (CNNs) can improve feature extraction, especially in multi-class problems that require varying levels of complexity to distinguish between different classes. …”
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A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method
Published 2022“…Therefore, the proposed work, in this paper, is based on the Least Significant Bit (LSB) substitution method. …”
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GIS-BIM Based Regional Seismic Risk Assessment for Dubai, UAE
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Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030)
Published 2024“…This study aimed to model past, present, and future LULCC on Land Surface Temperatures in the Greater Amman Municipality (GAM) in Jordan between 1980 and 2030. …”
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The impact of stakeholder integration on large-scale, innovative PPP infrastructure projects
Published 2020“…In addition, this empirical study focused on SI in large-scale innovative infrastructure PPP projects, which will fill the gap of defining the impact and the importance of SI in these fields. …”
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Security Supply Chain Using UAVs: Validation and Development of a UAV-Based Model for Qatar’s Mega Sporting Events
Published 2023“…The key findings of the study are: (1) a valid and reliable UAV-based cybersecurity framework for FIFA mega sporting events was developed; (2) five critical factors were identified, including traceability, security and privacy, trust, acceptability, and preparedness; (3) all factors were significantly and positively correlated, highlighting the complexity of managing security systems in mega sporting events.…”
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Mixed precision iterative refinement with adaptive precision sparse approximate inverse preconditioning
Published 2025“…<p dir="ltr">Hardware trends have motivated the development of mixed precision algorithms in numerical linear algebra, which aim to decrease runtime while maintaining acceptable accuracy. …”
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B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core
Published 2021“…<p dir="ltr">In order to maintain a satisfactory performance in the midst of rapid growth of mobile traffic, the mobile network infrastructure needs to be scaled. Thus there has been significant interest in scalability of mobile core networks and a variety of scaling solutions have been proposed that rely on horizontal scaling or vertical scaling. …”
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GDLL: A Scalable and Share Nothing Architecture Based Distributed Graph Neural Networks Framework
Published 2022“…The base layer utilizes an optimized distributed file system and a scalable graph data store to reduce the performance penalty. …”
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Exploring Students’ Attitudes Toward Artificial Intelligence (AI): Psychometric Validation of AI-Attitude Scale
Published 2025“…Results revealed notable gender differences: male students scored significantly higher in the Determination and Exploration dimensions, while no significant gender gap was observed in Collaboration. …”
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The Impact of an Educational Training Program on the Self-Efficacy of Teachers and Leadership Staff in a Private School in Dubai
Published 2023“…These discoveries highlight the significance of proof-based preparation mediations in upgrading self-efficacy and give bits of knowledge into the elements among educators and leadership staff in Dubai's private school. …”
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Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women
Published 2021“…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…”
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Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women
Published 2021“…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…”
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