The identification and categorization of soiling using artificial intelligence is essential for improving solar photovoltaic (PV) system efficiency. It is possible to use focused and effective cleaning techniques on s...
详细信息
A dictionary learning (DL)-based method for analyzing multiple functional magnetic resonance imaging (fMRI) data sets is developed. The algorithm can incorporate subject group information to extract neural activation ...
详细信息
Fault detection is a major issue in wind energy field, and data-driven methods required a large amount of IoT data, posing risks of data security and privacy. To address this issue, this paper proposed a blockchain-en...
详细信息
Medium and long-term power load forecasting with days as the forecast step length is of great significance to power grid planning, power supply configuration and power grid stability analysis. Aiming at the difficulti...
详细信息
Vehicular Ad-hoc Networks (VANETs) have many specific issues and challenges due to a heterogeneous and highly dynamic environment, and therefore traditional solutions need to be improved and adopted in order to satisf...
详细信息
This research addresses the security challenges posed by Generative Adversarial Networks (GANs) in biometric authentication, focusing particularly on the use of Hyperspectral Imaging (HSI) to counteract the threat of ...
详细信息
ISBN:
(数字)9798331521554
ISBN:
(纸本)9798331521561
This research addresses the security challenges posed by Generative Adversarial Networks (GANs) in biometric authentication, focusing particularly on the use of Hyperspectral Imaging (HSI) to counteract the threat of deep fake biometrics created by GANs. We sought solutions to the issues identified in a previous study, such as the inability to handle images of individuals not previously trained and the high time consumption required for identification. In this paper, we first reduced the dimensionality of hyperspectral face data used for training, and then conducted a binary classification of “target subject (class)” and “nontarget subjects (classes).” A discriminator, based on the Least Squares Generative Adversarial Network (LSGAN) model, was developed using HSI for each class for binary classification. The proposed method significantly reduced identification time and achieved very high accuracy in identification.
Indonesia has been participating at the International Olympiad in Informatics (IOI) since 1995. The process of selecting the four contestants remains unchanged. All medalists in the national level competition were inv...
详细信息
Reasoning over knowledge bases such as Semantic Web ontologies enables the discovery of new facts from existing knowledge. Knowledge-enhanced machine learning has motivated the development of neuro-symbolic reasoners,...
详细信息
Mobile edge computing (MEC), as a promising paradigm, delivers computation and storage capacities at the edge of the network. It supports delay-sensitive services for mobile users (MUs). However, dynamic and stochasti...
详细信息
Electronic meters have become increasingly important for efficient energy use, and the proposed research aims to develop an IoT-based architecture for metering and monitoring. This smart monitoring and control system ...
详细信息
暂无评论