作者：
Kabbaj, NarjisseEl-Amin, Mohamed F.Effat University
Effat College of Engineering Energy and Technology Research Center Electrical and Computer Engineering Department Jeddah Saudi Arabia Effat University
Nat. Science Math and Tech Unit Effat College of Engineering Energy and Technology Research Center Jeddah Saudi Arabia
This study improves the mathematical modeling for the potential of atmospheric water harvesting (AWH) using desiccant materials. This research is crucial in highlighting the sustainable water management strategies of ...
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Formal component-based modeling has been shown to be invaluable for verifying the compatibility of specified components, discovering flaws early in design stages, and enabling the reuse of components, across multiple ...
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Frequency measurement is crucial in electronic measurement, and digital frequency meters are essential for engineering. Their use in smart appliances increases demand for wider ranges and complex designs. This paper p...
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Accurate measurement of pulverized coal concentration (PCC) is a critical and complex task in coal-fired systems. Traditional microwave attenuation methods often emphasize numerical analysis while neglecting the spati...
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Interactive systems based on Artificial Intelligence (AI) algorithms are raising new challenges, including establishing a bond of trust between users and AI. This trust must be calibrated to match the degree of reliab...
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ISBN:
(纸本)9783031616976;9783031616983
Interactive systems based on Artificial Intelligence (AI) algorithms are raising new challenges, including establishing a bond of trust between users and AI. This trust must be calibrated to match the degree of reliability of AI in order to avoid over-trusting and under-trusting. However, trust is a subjective characteristic that is difficult to assess as it can vary from one person to another. This paper explores how it is possible to estimate the trust of users, especially through behavioral and physiological sensing. It also explains how, from trust assessment, it becomes possible to develop techniques for calibrating trust.
Tracking carbon emissions from both vehicles and humans is crucial for understanding and mitigating climate change. Accurate prediction models are essential to address the diverse nature of carbon emission datasets. A...
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The proceedings contain 46 papers. The topics discussed include: a synergy of computer graphics and generative AI: advancements and challenges;the impact of the number of k-means clusters on 3D point cloud registratio...
The proceedings contain 46 papers. The topics discussed include: a synergy of computer graphics and generative AI: advancements and challenges;the impact of the number of k-means clusters on 3D point cloud registration;automated bioacoustic monitoring for South African bird species on unlabeled data;beyond the benchmark: detecting diverse anomalies in videos;attention-aware DAE for automated solar coronal loop segmentation;empathy training using virtual environments;texture-based global illumination for physics-based light propagation in interactive web applications;improving image reconstruction using incremental PCA-embedded convolutional variational auto-encoder;reevaluation in rule-based graph transformation modelingsystems;towards multi-species animal re-identification;and texture reading optimization for 2 dimensional filter based graphics algorithms.
Currently, the requirement for mass programming training necessitates the urgent need to automate the testing process of student programs. In this area, one of the main issues with automation tools is the possibility ...
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Intrusion Detection systems (IDS) are indispensable for cybersecurity, as they safeguard networks from increasingly sophisticated and sophisticated cyberattacks. This paper assesses the influence of dataset balancing ...
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Cyber security plays a major concern in various types of organizations. The security of software systems creates a threat in terms of software threat and design threats. The process involves relevant mitigation approa...
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