A survey of automatic software vulnerability detection, program repair, and defect prediction techniques
Z Shen, S Chen - Security and Communication Networks, 2020 - Wiley Online Library
Open source software has been widely used in various industries due to its openness and
flexibility, but it also brings potential software security problems. Together with the large …
flexibility, but it also brings potential software security problems. Together with the large …
Sentinet: Detecting localized universal attacks against deep learning systems
SentiNet is a novel detection framework for localized universal attacks on neural networks.
These attacks restrict adversarial noise to contiguous portions of an image and are reusable …
These attacks restrict adversarial noise to contiguous portions of an image and are reusable …
Accurate EEG-based emotion recognition on combined features using deep convolutional neural networks
JX Chen, PW Zhang, ZJ Mao, YF Huang… - IEEE …, 2019 - ieeexplore.ieee.org
In order to improve the accuracy of emotional recognition by end-to-end automatic learning
of emotional features in spatial and temporal dimensions of electroencephalogram (EEG) …
of emotional features in spatial and temporal dimensions of electroencephalogram (EEG) …
Review on optimization techniques and role of Artificial Intelligence in home energy management systems
Present advancements in the power systems paved way for introducing the smart grid (SG).
A smart grid is beneficial to consumers which enables the bi-directional flow of information …
A smart grid is beneficial to consumers which enables the bi-directional flow of information …
Identification method of corn leaf disease based on improved Mobilenetv3 model
C Bi, S Xu, N Hu, S Zhang, Z Zhu, H Yu - Agronomy, 2023 - mdpi.com
Corn is one of the main food crops in China, and its area ranks in the top three in the world.
However, the corn leaf disease has seriously affected the yield and quality of corn. To …
However, the corn leaf disease has seriously affected the yield and quality of corn. To …
Dynamic parameters identification for sliding joints of surface grinder based on deep neural network modeling
W Zhang, X Liu, Z Huang, J Zhu - Advances in Mechanical …, 2021 - journals.sagepub.com
Dynamic parameters of joints are indispensable factors affecting performance of machine
tools. In order to obtain the stiffness and damping of sliding joints between the working …
tools. In order to obtain the stiffness and damping of sliding joints between the working …
A hybrid parallel deep learning model for efficient intrusion detection based on metric learning
With the rapid development of network technology, a variety of new malicious attacks appear
while attack methods are constantly updated. As the attackers exploit the vulnerabilities of …
while attack methods are constantly updated. As the attackers exploit the vulnerabilities of …
Feature fusion and kernel selective in Inception-v4 network
F Chen, J Wei, B Xue, M Zhang - Applied Soft Computing, 2022 - Elsevier
In recent years, deep learning has been developed very quickly, and related research has
shown a blossoming scene. Inception-v4 is a wide and deep network with good …
shown a blossoming scene. Inception-v4 is a wide and deep network with good …
Stochastic physics-informed neural ordinary differential equations
Stochastic differential equations (SDEs) are used to describe a wide variety of complex
stochastic dynamical systems. Learning the hidden physics within SDEs is crucial for …
stochastic dynamical systems. Learning the hidden physics within SDEs is crucial for …
基于梦想云的人工智能地震解释模式研究与实践
杨平， 詹仕凡， 李明， 李磊， 郭锐， 尚民强， 陶春峰 - 中国石油勘探, 2020 - cped.cn
为了探索云计算与人工智能技术在地震资料解释领域的结合方式, 更好地发挥两者的协同优势,
在深度学习解释软件研发实践的基础上, 提出了基于梦想云+ 深度学习方法的地震资料解释新 …
在深度学习解释软件研发实践的基础上, 提出了基于梦想云+ 深度学习方法的地震资料解释新 …