固定某物
发表于 2025-3-30 08:18:44
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Picks-Disease
发表于 2025-3-30 12:23:07
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EVEN
发表于 2025-3-30 16:49:13
An Effective Deep Learning-Based Variational Autoencoder for Zero-Day Attack Detection Model,gnificant increase in the number of recent unknown cyberattacks necessitates respective improvement in the performance of the IDS solution for the identification of zero-day attacks. Consequently, it is needed to develop effective IDS for the detection and classification of zero-day attacks. In this
PLUMP
发表于 2025-3-31 00:16:56
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cushion
发表于 2025-3-31 01:43:21
,Fault Location in Transmission Line Through Deep Learning—A Systematic Review, probable to replace transient stability. In a transmission network, the faulty voltage regulator along with current signals is used for fault location, classification, and detection. Detecting the location of the fault on transmission lines precisely can save the effort of labor and enhance the res
埋伏
发表于 2025-3-31 06:36:07
A Cost-Efficient Magnitude Comparator and Error Detection Circuits for Nano-Communication, speed, and a minor dimension, and so it is an encouraging substitute to CMOS technology. One of the latest and emerging nanotechnologies used nowadays is QCA which is based on Coulomb repulsion. Presently, circuit designers are leading toward an advanced applied science dependent on the electron po
故意
发表于 2025-3-31 11:34:09
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走路左晃右晃
发表于 2025-3-31 14:04:07
Abhishek Chauhangs. With particular focus on the example of provided by European industry, the creation of energy efficient systems is explored including chapters on:. Zero Energy Buildings,. Photovoltaics Tech978-1-4471-5896-7978-1-4471-2383-5Series ISSN 1865-3529 Series E-ISSN 1865-3537
Organonitrile
发表于 2025-3-31 20:10:40
Conference proceedings 2021rends, and solutions for the challenges faced by the intelligent systems and control community with the real-world applications. The included research articles feature the novel and unpublished research works on intelligent system representation and control..
倔强一点
发表于 2025-3-31 22:55:16
Knowledge Graphs in Recommender Systems,ational models like TransE, TransH are widely used and neural network models like graph convolutional network and graph attention network are seen to perform efficiently. The article, gives a background of recommender systems and knowledge graphs and then talks about some different approaches availa