In Facial Expression Recognition (FER), existing models often encounter challenges such as high parameter counts and significant computational demands, making real-time application on resource-constrained devices diff...
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This work investigates using Convolutional Neural Networks (CNN) and VGGNet architecture, for realtime emotion detection. Raw data from the FER-2013dataset is transformed from CSV format into organized image director...
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Determining appropriate shapes and establishing corresponding relationships based on 3D models remains a significant challenge. This research employs shape statistical models and direct correspondence between two morp...
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This paper establishes a quadratic unconstrained binary optimization (QUBO) model for portfolio optimization with excess returns. Initially, we decompose the portfolio optimization problem with excess returns and sele...
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Air traffic control flow prediction is one of the key issues in aviation transportation management, crucial for optimizing resource allocation, enhancing control efficiency, and ensuring flight operation safety. This ...
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The advent of Generative AI has marked a significant milestone in artificial intelligence, demonstrating remarkable capabilities in generating realistic images, texts, and data patterns. However, these advancements co...
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ISBN:
(纸本)9798400705915
The advent of Generative AI has marked a significant milestone in artificial intelligence, demonstrating remarkable capabilities in generating realistic images, texts, and data patterns. However, these advancements come with heightened concerns over data privacy and copyright infringement, primarily due to the reliance on vast datasets for model training. Traditional approaches like differential privacy, machine unlearning, and data poisoning only offer fragmented solutions to these complex issues. Our paper delves into the multifaceted challenges of privacy and copyright protection within the data lifecycle. We advocate for integrated approaches that combines technical innovation with ethical foresight, holistically addressing these concerns by investigating and devising solutions that are informed by the lifecycle perspective. This work aims to catalyze a broader discussion and inspire concerted efforts towards data privacy and copyright integrity in Generative AI.
In order to solve the problem of insufficient utilization of historical test data of platform inertial navigation system (PINS), a calibration parameter prediction method based on grey combination prediction model is ...
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With the improvement of human requirements for quality of life, economic development and urbanization, the automatic pricing and replenishment decisions of vegetable categories and single products in supermarkets have...
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The power of photovoltaic (PV) is related to many factors, and power prediction is of vital significance to maintain the stable operation of the power system. A prediction model of PV power based on EEMD-IWOA-LSTM mod...
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This study examines the influence of six meteorological factors on eLoran signal propagation delay and develops a predictive model using four machine learning approaches: BP neural networks, random forests, support ve...
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