A new study finds that humans and AI spot different kinds of deepfakes — hinting at the need to team up to fight them.
Brookhaven National Laboratory have developed a novel artificial intelligence (AI)-based method to dramatically tame the ...
Abstract: Estimating building heights by generating disparity maps from multi-view satellite images through stereo matching remains challenging in urban research. However, disparity maps produced by ...
Implementation of Federated Learning Algorithms for Non Independent and Identically Distributed Data
Abstract: Federated Learning (FL) has emerged as a transformative approach for training machine learning models across decentralized data sources while preserving privacy. This study evaluates the ...
Abstract: Aerosol jet printing (AJP) is a hotspot technic applied in customized microelectronic component manufacturing due to its high design flexibility and capability for fine feature deposition.
Abstract: Deepfake technology, using deep learning, creates highly realistic yet artificial media, creating challenges for security and privacy. Convolutional Neural Networks (CNNs) play a crucial ...
Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...
Abstract: Network Intrusion Detection Systems (NIDS) play crucial role for maintaining the security of modern network infrastructures. With the increasing sophistication of cyber-attacks, traditional ...
Abstract: Recently, high-precision trajectory prediction of ballistic missile in the boost phase has become a research hotspot in missile defense system. This paper proposes a trajectory prediction ...
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