The implementation of Natural Language Processing (NLP) in chatbots has significantly enhanced the efficiency and user experience of academic information systems. This paper presents a case study of the International ...
详细信息
The usage of artificial intelligence in problems related to industry makes it possible to develop optimization, predictive digital models for their operation in real time. The developed model can conduct predictive di...
详细信息
In the digital age, the existence and experience of art, history, and culture change worldwide, and the rise of virtual museums ensures that the boundaries are eliminated and interactions with the population diversiti...
详细信息
The security of the wireless sensor network-Internet of Things(WSN-IoT)network is more challenging due to its randomness and self-organized *** detection is one of the key methodologies utilized to ensure the security...
详细信息
The security of the wireless sensor network-Internet of Things(WSN-IoT)network is more challenging due to its randomness and self-organized *** detection is one of the key methodologies utilized to ensure the security of the *** intrusion detection mechanisms have issues such as higher misclassification rates,increased model complexity,insignificant feature extraction,increased training time,increased run time complexity,computation overhead,failure to identify new attacks,increased energy consumption,and a variety of other factors that limit the performance of the intrusion system *** this research a security framework for WSN-IoT,through a deep learning technique is introduced using Modified Fuzzy-Adaptive DenseNet(MF_AdaDenseNet)and is benchmarked with datasets like NSL-KDD,UNSWNB15,CIDDS-001,Edge IIoT,Bot *** this,the optimal feature selection using Capturing Dingo Optimization(CDO)is devised to acquire relevant features by removing redundant *** proposed MF_AdaDenseNet intrusion detection model offers significant benefits by utilizing optimal feature selection with the CDO *** results in enhanced Detection Capacity with minimal computation complexity,as well as a reduction in False Alarm Rate(FAR)due to the consideration of classification error in the fitness *** a result,the combined CDO-based feature selection and MF_AdaDenseNet intrusion detection mechanism outperform other state-of-the-art techniques,achieving maximal Detection Capacity,precision,recall,and F-Measure of 99.46%,99.54%,99.91%,and 99.68%,respectively,along with minimal FAR and Mean Absolute Error(MAE)of 0.9%and 0.11.
Since the beginning of the 21st century, Open Education has emerged as an important field in education. Open Educational Resources (OERs) are closely related to it, which are hosted in Digital Repositories. OERs, desp...
详细信息
Integrating intelligent tutoring systems (ITS) into education has significantly enriched personalized learning experiences for students and educators alike. However, these systems often neglect the critical role of em...
详细信息
This paper explores the transformative potential of combining Artificial Intelligence (AI) with gamified learning environments (GLEs) to enhance personalized learning experiences. Gamified learning environments have e...
详细信息
With technology fundamentally changing the way students learn, traditional lectures often fail to capture student interest and prepare them for rapidly evolving demands of the job market. This paper highlights the nee...
详细信息
Two-pattern tests target the detection of common failure mechanisms in CMOS VLSI circuits, modelled as stuck-open or delay faults. In this paper, a Reduced-overhead Accumulator-Based BIST scheme for Two-pattern genera...
详细信息
Artificial Intelligence (AI) is rapidly transforming our world, and education is no exception. The growing popularity and use of AI systems calls for a new understanding of what it means to be literate in the modern w...
详细信息
暂无评论