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Distributed neuro-fuzzy routing for energy-efficient IoT smart city applications in WSN
Wireless sensor networks (WSNs) enable seamless data gathering and communication, facilitating efficient and real-time decision-making in IoT...
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Representing a Model for the Anonymization of Big Data Stream Using In-Memory Processing
In light of the escalating privacy risks in the big data era, this paper introduces an innovative model for the anonymization of big data streams,...
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A novel PLS technique for secure ESM based MIMO systems
Multiple-input multiple-output systems with spatial modulation has evolved into an energy efficient and less complex wireless transmission system due...
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Analyzing Insurance Data with an Alpha Power Transformed Exponential Poisson Model
In this paper, we propose a new model by adding an additional parameter to the baseline distributions for modeling claim and risk data used in...
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DOCA: a UAV-assisted multi-hop D2D resource allocation scheme for 5G and beyond using machine learning
Device-to-Device (D2D) relayed communication helps in extending the coverage range of cellular networks. Relay devices support multi-hop D2D...
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Unlocking Online Insights: LSTM Exploration and Transfer Learning Prospects
Machine learning algorithms can improve the time series data analysis as compared to the traditional methods such as moving averages or...
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Drinkers Voice Recognition Intelligent System: An Ensemble Stacking Machine Learning Approach
Alcohol's dehydrating effects can cause vocal cords to dry out, potentially causing temporary voice changes and increasing the risk of vocal strain...
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An anonymous broadcasting system with accountability based on group signatures
Advanced anonymous communication schemes have been proposed to protect the privacy of network users, enabling them to communicate anonymously on the...
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A New Kernel Density Estimation-Based Entropic Isometric Feature Map** for Unsupervised Metric Learning
Metric learning consists of designing adaptive distance functions that are well-suited to a specific dataset. Such tailored distance functions aim to...
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Statistical analysis and characterization of signaling and user traffic of a commercial multi-band LTE system
The fourth-generation (4 G) cellular network is currently the dominant mobile technology used worldwide. The analysis of the network behavior can...
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Power Evaluation of Some Tests for Inverse Rayleigh Distribution
The Inverse Rayleigh distribution has many applications in the area of reliability studies. It is regarded as a model for a lifetime random variable....
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IoT traffic management using deep learning based on osmotic cloud to edge computing
IoT is critical in many application areas, such as smart cities, health care, and surveillance systems. Each application has its own QoS...
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LoRa interference issues and solution approaches in dense IoT networks: a review
Low Power Wide Area Networks (LPWAN) are prominent option of wireless communication technology for dense Internet of Things (IoT) applications. With...
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Post-quantum framework for authorized and secure communication in multi-server networking
Multi-server authentication, called single sign-on, enables users to easily access the necessary services from multiple servers with a single...
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Optimization of LDPC-coded power series MIMO/FSO link with hybrid-SIM based on machine learning in satellite downlink for 5G and beyond applications
This study presents a thorough evaluation of satellite downlink performance in a Free Space Optics (FSO) system with a Low-Density-Parity-Check...
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Visual Question Answer System for Skeletal Image Using Radiology Images in the Healthcare Domain Based on Visual and Textual Feature Extraction Techniques
The Medical Imaging Query Response System is among the most challenging concepts in the medical field. It requires a significant amount of effort to...
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A dynamic spectrum access algorithm based on deep reinforcement learning with novel multi-vehicle reward functions in cognitive vehicular networks
As a revolution in the field of transportation, the demand for communication of vehicles is increasing. Therefore, how to improve the success rate of...
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An energy-aware traffic offloading approach based on deep learning and optimization in massive MIMO
In the wireless communication, the shortage of bandwidth has motivated the investigation and study of the wireless access technology called massive...
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An energy-optimized green cooperative cognitive radio network for better spectrum sharing
Higher energy consumption and poor spectrum sharing were identified as the common problems in spectrum sharing at cognitive radio networks. So to...
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UAV flight path planning optimization
In modern warfare, the use of UAVs for reconnaissance, search and rescue missions is very common, and it is essential to plan the flight path of...
