This paper presents a novel pencil beam generation method based on computational holography. The method generates intensity maps through computer simulation, obtains a computed hologram using a computational holograph...
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This research explores the integration of advanced AI technologies, specifically Google's Gemini-1.5-Flash-001 model and Vertex AI, into the development of EcoTrack-a mobile application that helps users monitor an...
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In recent years, blended learning models combining online and offline instructional methods have been widely implemented in higher education institutions. Online learning platforms accumulate a large number of fine-gr...
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The study examined various filtering methods applied to ECG signals;the MIT-BIH Arrhythmia dataset included two channels to reduce noise and artifacts while maintaining critical waveform characteristics. Initial filte...
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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 emergence of quantum computing poses a significant threat to the security of traditional blockchain systems, which rely heavily on classical cryptographic algorithms. To safeguard the integrity and reliability of ...
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With the rise of artificial intelligence (AI), the need for AI curriculum rose as well. In order to tackle the problem, AIM@VET (Artificial Intelligence Modules for Vocational Education and Training) EU project, was i...
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ISBN:
(纸本)9783031777370;9783031777387
With the rise of artificial intelligence (AI), the need for AI curriculum rose as well. In order to tackle the problem, AIM@VET (Artificial Intelligence Modules for Vocational Education and Training) EU project, was initiated. This paper presents a comprehensive set of teaching materials designed to introduce pre-university students to the fundamental techniques and concepts in object tracking and classification within the field of computer vision. The materials cover key topics including the basics of object tracking, region of interest selection, single and multiple object tracking methods, evaluation metrics, motion prediction, classification, and advanced concepts such as deep neural networks. By mastering these skills, students are equipped to contribute to real-world technological advancements and are well-prepared for future academic and professional pursuits in computer vision and related disciplines.
This paper introduces a secure authentication framework by applying Mutual Authentication Coupled with Optimised AES (advanced Encryption Standard) Encryption to improve the security of the multi-server environment. B...
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Intention detection and slot filling are two main tasks in the field of natural language understanding in natural language processing. Since the two tasks are highly correlated, the two tasks are often modeled jointly...
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The rapid growth of social media platforms has led to increased spam content, ranging from unwanted advertisements to harmful misinformation, negatively affecting user experience and platform security. Traditional spa...
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