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Hybrid Feature-Assisted Neural Model for Crowd Behavior Analysis
The exponential rise in technology and allied applications has always revitalized academia industries to achieve more efficient and robust solution...
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DDoS Attacks Detection Using a Deep Neural Network Model
In today’s world of globalization, with the exponential increase in the use of Internet-based services, there is also an increase in network traffic...
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An efficient network intrusion detection model for IoT security using K-NN classifier and feature selection
The Internet of Things (IoT) interconnects billions of sensors and actuators to serve a meaningful purpose. However, it is always vulnerable to...
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Machine and Deep Learning Models for the Prediction of Performance and Speed Regulation Parameters of a Turbojet Engine Using Electric Power Transfer
In this paper, we focus our attention on “Machine Learning and Deep Learning Models for Prediction of Performance and Speed Regulation Parameters of...
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Physical laws meet machine intelligence: current developments and future directions
The advent of technology including big data has allowed machine learning technology to strengthen its place in solving different science and...
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Explainable knowledge integrated sequence model for detecting fake online reviews
Online reviews have a great influence on customers’ shop** decisions. However, countless fake reviews are posted on shop** platforms, which...
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An effective intrusion detection approach based on ensemble learning for IIoT edge computing
The Internet of Things (IoT) has recently gained immense popularity. IoT is a set of devices that compute, communicate with each other, and consist...
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ANN-FL Secure Handover Protocol for 5G and Beyond Networks
Technical network challenges in 5G relates to handover authentication, user privacy protection and resource management. Due to interoperability...
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A Novel Discrete Deep Learning–Based Cancer Classification Methodology
Classification is one of the most well-known data mining branches used in diverse domains and fields. In the literature, many different...
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A trusted computing framework for cloud data security using role-based access and pattern recognition
Due to the digitization of data and the dynamic requirements of the users, cloud computing is one of the most used technologies in the present...
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An optimal deep learning-based LSTM for stock price prediction using twitter sentiment analysis
Stock Price Prediction is one of the hot research topics in financial engineering, influenced by economic, social, and political factors. In the...
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lIDS-SIoEL: intrusion detection framework for IoT-based smart environments security using ensemble learning
Smart cities are being enabled all around the world by Internet of Things (IoT) applications. A smart city idea necessitates the integration of...
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Neural Networks Merging Semantic and Non-semantic Features for Opinion Spam Detection
In recent years, abundant online reviews on products and services have been generated by individuals. Since customers may refer to relevant online...
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Energy Estimation for VANET Performance Based Robust Neural Networks Learning
Abstract - Vehicular ad-hoc networks (VANETs) technology has emerged recently as an important research area. They have today been established as...
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Short-term stock market price trend prediction using a comprehensive deep learning system
In the era of big data, deep learning for predicting stock market prices and trends has become even more popular than before. We collected 2 years of...
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Cost-effective and fault-resilient reusability prediction model by using adaptive genetic algorithm based neural network for web-of-service applications
The exponential rise in software technologies and its significances has demanded academia-industries to ensure low cost software solution with...
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Dynamic search trajectory methods for global optimization
A detailed review of the dynamic search trajectory methods for global optimization is given. In addition, a family of dynamic search trajectories...
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Enhanced evolutionary computing based artificial intelligence model for web-solutions software reusability estimation
Ensuring the aging resilient software design can be of paramount significance to enable faultless software system. Particularly assessing reusability...
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Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach
This current work describes human push recovery data classification using features that are obtained from intrinsic mode functions by performing...
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Hybird Evolutionary Algorithms for Artificial Neural Network Training in Rainfall Forecasting
This paper investigates the effectiveness of the Genetic Algorithm (GA) and Simulated Annealing algorithm (SA) training artificial neural network...