SinoXivBackground Generative artificial intelligence (genAI) chatbots are increasingly used for health advice despite lacking regulatory approval, raising concerns about their output quality and safety. This...
This paper introduces an empirical extension of the Deep Personal Privacy (DPP) framework, a novel paradigm that reconceptualizes privacy as resistance to inference rather than mere control over data ...
This study presents a forecasting and comparative analysis of moderate geomagnetic storms using artificial neural networks (ANNs). Four moderate geomagnetic storm events that occurred during 2022, in ...
Current phytopathological diagnostic systems rely on manual inspections or laboratory analyses, which delay early detection and limit in-field responsiveness. Phytopathogenic fungal diseases pose a pe...
The rapid advancement of Artificial Intelligence of Things (AIoT) in smart pharmaceutics promises personalized and adaptive drug delivery systems with real-time monitoring and precise dosing. However,...
EEG signals face challenges such as a scarcity of training data, significant individual variability, and difficulties in designing neural network architectures, which severely limit the performance an...
In the digital era, the Internet has become a critical channel for information dissemination. However, the widespread prevalence of online false and exaggerated information has severely undermined the...
This quantitative research draws attention to cybersecurity concerns through a lens of board independence and technical expertise, grounded in agency theory and resource-based theory, respectively. We...
Dynamic data distributions, system failures, and low-latency, cost-effective processing are becoming more of a challenge to modern real-time data pipelines. Current streaming architectures are based o...
In the high-accuracy numerical solution of the generalized Rosenau-KdV-RLW equation, the mismatch of the temporal and spatial accuracy orders often forces the calculation to adopt a fine grid to balan...
