A survey on modern trainable activation functions

A Apicella, F Donnarumma, F Isgrò, R Prevete - Neural Networks, 2021 - Elsevier
In neural networks literature, there is a strong interest in identifying and defining activation
functions which can improve neural network performance. In recent years there has been a …

Hybrid optimization enabled trust-based secure routing with deep learning-based attack detection in VANET

G Kaur, D Kakkar - Ad Hoc Networks, 2022 - Elsevier
Vehicular ad-hoc network (VANET) model is easy to arrange and inexpensive answer for
clever traffic control and traffic failure protective measures. Generally, the nodes present in …

A survey on activation functions and their relation with xavier and he normal initialization

L Datta - arXiv preprint arXiv:2004.06632, 2020 - arxiv.org
In artificial neural network, the activation function and the weight initialization method play
important roles in training and performance of a neural network. The question arises is what …

[HTML][HTML] Optimization enabled deep learning-based DDoS attack detection in cloud computing

S Balasubramaniam, C Vijesh Joe… - International Journal of …, 2023 - hindawi.com
Cloud computing is a vast revolution in information technology (IT) that inhibits scalable and
virtualized sources to end users with low infrastructure cost and maintenance. They also …

ReliefF based feature selection and Gradient Squirrel search Algorithm enabled Deep Maxout Network for detection of heart disease

S Balasubramaniam, CV Joe… - … Signal Processing and …, 2024 - Elsevier
Detecting heart disease is challenging in clinical settings, leading to an increase in mortality
rates. Current detection processes often rely on Electrocardiography (ECG) signal analysis …

Web page classification: a survey of perspectives, gaps, and future directions

M Hashemi - Multimedia Tools and Applications, 2020 - Springer
The explosive growth of the amount of information on Internet has made Web page
classification essential for Web information management, retrieval, and integration, Web …

Modelling minimum miscibility pressure of CO2-crude oil systems using deep learning, tree-based, and thermodynamic models: Application to CO2 sequestration and …

Q Lv, R Zheng, X Guo, A Larestani… - Separation and …, 2023 - Elsevier
The energy demand is still increasing across the globe, while environmental concerns about
global warming effect and greenhouse gases have augmented recently. CO 2 injection into …

Understanding Automatic Speech Recognition

D O'Shaughnessy - Computer Speech & Language, 2023 - Elsevier
This paper discusses how automatic speech recognition systems are and could be
designed, in order to best exploit the discriminative information encoded in human speech …

Remora whale optimization-based hybrid deep learning for network intrusion detection using CNN features

SV Pingale, SR Sutar - Expert Systems with Applications, 2022 - Elsevier
Security remains as a key role in this internet world owing to the fast expansion of users on
the internet. Numerous existing intrusion detection approaches were introduced by …

ExpSSOA-Deep maxout: Exponential Shuffled shepherd optimization based Deep maxout network for intrusion detection using big data in cloud computing framework

BK Pandey, MRM Veeramanickam, S Ahmad… - Computers & …, 2023 - Elsevier
The evolution of the Internet produced a large quantity of information. This makes the
internet world more complex and affected by powerful attacks. In modern networks, the …