Ensuring cybersecurity for connected and autonomous cars is vital as these vehicles become more prevalent on our roads. This paper addresses security concerns and solutions for unmanned aerial vehicles. Connected and ...
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Unprecedented capabilities for content generation, predictive analytics, and automation are made available by the introduction of Generative Artificial Intelligence (AI) technologies, which uses in a new age of indust...
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The use of voice interaction is changing the way human being communicate with devices as it offers a simple and effective way of interaction. To implement voice interaction within desktop applications and make it more...
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To address the critical challenge of pupil segmentation accuracy in medical image analysis, this paper proposes an innovative pupil segmentation method based on an enhanced TransUNet deep neural network. The proposed ...
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The rapid proliferation of mobile devices has driven the integration of artificial intelligence (AI) technologies, making the efficient operation of complex deep learning models within resource-limited environments a ...
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3D Gaussian Splatting (3DGS) has emerged as a transformative technique for real-time, high-quality 3D rendering. This paper surveys the advancements in 3DGS, focusing on optimization strategies, applications across di...
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Modern logistics networks, even under normal operating conditions intrinsically face a multitude of issues, which become even more daunting in the event of disasters and emergencies, which either disrupt existing netw...
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ISBN:
(纸本)9783031693502;9783031693519
Modern logistics networks, even under normal operating conditions intrinsically face a multitude of issues, which become even more daunting in the event of disasters and emergencies, which either disrupt existing networks by exerting extra strain or necessitate the formation of ad-hoc humanitarian logistics networks for disaster management, to alleviate the impacted areas and deliver aid to the victims. Although it is not feasible to entirely avert all disasters, it is well recognized that utilizing advanced digital technologies, including drones, big data analytics, the Internet of Things, machine learning and more, can significantly revolutionize humanitarian logistics operations implemented prior to, amidst, and following a disaster's occurrence. This paper delves into the realms of user interface design within the humanitarian logistics domain, emphasizing the pivotal role of drone and other digital technologies in refining disaster response mechanisms. It introduces an innovative humanitarian logistics platform, advocating for a design philosophy that merges scalability and modularity with user-centric navigation for diverse disaster scenarios. Through a user interface journey that evolves from conceptual designs to user-validated interfaces, this study highlights the balance between technological infrastructure and user engagement. The contribution of this research lies in its holistic design approach, blending offering a new perspective on developing humanitarian logistics platforms that are technologically advanced and closely attuned to humanitarian goals.
Recent deep learning models have advanced object detection capabilities, but their reliance on labeled data limits scalability. Fine-grained zero-shot detection remains challenging due to the need to generalize to uns...
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This paper explores the quantum bootstrap method, a promising numerical approach rooted in self-consistency conditions, and its application in microcanonical ensembles. Initially developed in the 1960s and '70s, t...
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The integration of artificial intelligence in project management with revolutionize engineering processes like automobile. The present study explores the impact of artificial intelligence in decision support system to...
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