[HTML][HTML] A systematic review of hyperparameter optimization techniques in Convolutional Neural Networks

MAK Raiaan, S Sakib, NM Fahad, A Al Mamun… - Decision analytics …, 2024 - Elsevier
Abstract Convolutional Neural Network (CNN) is a prevalent topic in deep learning (DL)
research for their architectural advantages. CNN relies heavily on hyperparameter …

Time complexity in deep learning models

B Shah, H Bhavsar - Procedia Computer Science, 2022 - Elsevier
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 …

Depth-restricted convolutional neural network—A model for Gujarati food image classification

B Shah, H Bhavsar - The Visual Computer, 2024 - Springer
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 …

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 …

[HTML][HTML] Application of Thermography and Convolutional Neural Network to Diagnose Mechanical Faults in Induction Motors and Gearbox Wear

E Resendiz-Ochoa, O Trejo-Chavez… - Applied System …, 2024 - mdpi.com
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 …

Anatomy Identification of Bamboo Stems with The Convolutional Neural Networks (CNN) Method

D Rustandi, SH Wijaya, R Damayanti - Jurnal RESTI (Rekayasa …, 2024 - jurnal.iaii.or.id
It is important to note that some species of bamboo are protected and considered
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 …

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 …

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 …

[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 …