Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] A systematic review of hyperparameter optimization techniques in Convolutional Neural Networks
Abstract Convolutional Neural Network (CNN) is a prevalent topic in deep learning (DL)
research for their architectural advantages. CNN relies heavily on hyperparameter …
research for their architectural advantages. CNN relies heavily on hyperparameter …
Time complexity in deep learning models
The convolution neural network is gaining a lot of popularity in image classification problems
nowadays. It has been used in many different classification problems, like medical imaging …
nowadays. It has been used in many different classification problems, like medical imaging …
Depth-restricted convolutional neural network—A model for Gujarati food image classification
For an effective dietary assessment system, it is necessary to keep track of the amount of
food consumed. Food recognition is the first step to calorie estimation, and image …
food consumed. Food recognition is the first step to calorie estimation, and image …
Deep Learning-based DDoS Detection in Network Traffic Data
T Hussein - International journal of electrical and computer …, 2024 - hrcak.srce.hr
Sažetak In today's society, the cloud is essential for communication since it allows access to
important information anytime and anywhere. However, cloud services also attract hackers …
important information anytime and anywhere. However, cloud services also attract hackers …
[HTML][HTML] Application of Thermography and Convolutional Neural Network to Diagnose Mechanical Faults in Induction Motors and Gearbox Wear
Nowadays, induction motors and gearboxes play an important role in the industry due to the
fact that they are indispensable tools that allow a large number of machines to operate. In …
fact that they are indispensable tools that allow a large number of machines to operate. In …
Anatomy Identification of Bamboo Stems with The Convolutional Neural Networks (CNN) Method
It is important to note that some species of bamboo are protected and considered
endangered. However, distinguishing between traded and protected bamboo species or …
endangered. However, distinguishing between traded and protected bamboo species or …
Network intrusion detection with 1d convolutional neural networks
MK Hooshmand, MD Huchaiah - Digital Technologies Research and …, 2022 - ojs.ukscip.com
Computer network assets expose to various cyber threats in today's digital era. Network
Anomaly Detection Systems (NADS) play a vital role in protecting digital assets in the …
Anomaly Detection Systems (NADS) play a vital role in protecting digital assets in the …
Deep Learning Models for Classification of Diabetic Retinopathy Color Fundus Images
SL Kuna, DAV Prasad - Proceedings of the International …, 2022 - papers.ssrn.com
Diabetes Retinopathy is a prevalent diabetic condition that causes vision loss due to
abnormalities in the retina. Early detection can help prevent vision impairment …
abnormalities in the retina. Early detection can help prevent vision impairment …
Dimensional Hidden Layers and their Impact on Neural Network Performance
A Kodipalli, T Rao - … 4th Asian Conference on Innovation in …, 2024 - ieeexplore.ieee.org
Increasing the dimensionality of the ANN model architecture from 1D to 2D, 3D and
Investigating the impact of a novel approach on this ANN model by replacing the neuron in a …
Investigating the impact of a novel approach on this ANN model by replacing the neuron in a …
[PDF][PDF] Network Anomaly Detection Models Using Machine Learning Algorithms
M KAZIM - 2022 - researchgate.net
Nowadays, cyber-security threats include a wide range, such as malware, DoS, phishing,
social engineering, etc. An effective defence system can no longer rely solely on traditional …
social engineering, etc. An effective defence system can no longer rely solely on traditional …