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Application of Evolutionary Algorithms in Social Networks: A Comparative Machine Learning Perspective
Social networks exhibit interactions that lead to event changes in their communities. It is imperative to track community events to understand an...
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Performance analysis of collaborative real-time video quality of service prediction with machine learning algorithms
With the exponential rise in the development, deployment and use of Internet applications in recent years, communication paradigms are continuously...
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A Review of Intelligent Verification System for Distribution Automation Terminal based on Artificial Intelligence Algorithms
Artificial intelligence (AI) plays a key role in the distribution automation system (DAS). By using artificial intelligence technology, it is...
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ABWOA: adaptive boundary whale optimization algorithm for large-scale digital twin network construction
Digital twin network (DTN) as an emerging network paradigm, have garnered growing attention. For large-scale networks, a crucial problem is how to...
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Stability of an Optical Neural Network Trained by the Maximum-Likelihood Algorithm
AbstractThe possibility of the maximum-likelihood algorithm-based deep learning of an optical neural network is considered. Using the optimization of...
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Security Threat Analysis and Countermeasures on Consensus-Based Time Synchronization Algorithms for Wireless Sensor Network
Time synchronization is an indispensable and fundamental requirement for all types of wireless sensor networks (WSNs) protocols and applications. The...
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DOA Estimation in the Presence of Doppler Shifts Using Quantum-Inspired Swarm Intelligence Algorithms
Direction of arrival (DOA) estimation is an important problem of wireless sensor network (WSN) where the objective is to calculate the angle of...
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Secure Communication Using Multi-Layer Perceptron Neural Network and the Adaptive-Network-Based Fuzzy Inference System in Wireless Network
A Wireless Sensor Network (WSN) consists of many sensor nodes that collect data from various environmental conditions using the Internet of Things...
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Performance Evaluation of Machine Learning Algorithms applied in SD-VANET for Efficient Transmission of Multimedia Information
For the advancement of technologies in vehicular industry, an intelligent Software Defined Vehicular Ad-hoc Network (SDVANET) which decoupled its...
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Diagnosis and Classification of the Diabetes Using Machine Learning Algorithms
Diabetes mellitus is characterized as a chronic disease that may cause many complications. Machine learning algorithms are used to diagnose and...
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Network Tomography with Partial Topology Knowledge and Dynamic Routing
Networks are always evolving to meet the needs of progressing and novel applications. To this end, improved network capacity, latency and security...
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Predicting the pharmaceutical needs of hospitals using machine learning algorithms
People’s lives are always threatened by various diseases. The role of health and medical services, in particular medicine, is undeniable in...
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Network traffic grant classification based on 1DCNN-TCN-GRU hybrid model
Accurate grant classification of network traffic not only assists service providers in making acceptable allocations based on actual business...
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Unsupervised feature based algorithms for time series extrinsic regression
Time Series Extrinsic Regression (TSER) involves using a set of training time series to form a predictive model of a continuous response variable...
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Reinforcement learning-based autonomous attacker to uncover computer network vulnerabilities
In today’s intricate information technology landscape, the escalating complexity of computer networks is accompanied by a myriad of malicious threats...
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Dense residual network for image edge detection
The major challenge of edge detection in denoised images is smoothing the edges, thus confusing algorithms to classify a true edge with false one....
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Feature reduction for hepatocellular carcinoma prediction using machine learning algorithms
Hepatocellular carcinoma (HCC) is a highly prevalent form of liver cancer that necessitates accurate prediction models for early diagnosis and...
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Multi-focus image fusion algorithm based on region detection and ACS network
To address the problems of artifacts and information residuals in existing multi-focus image fusion algorithms, this paper proposes a multi-focus...
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Optimizing doubly stochastic matrices for average consensus through swarm and evolutionary algorithms
Doubly-stochastic matrices play a vital role in modern applications of complex networks such as tracking and decentralized state estimation,...
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A novel learning approach in deep spiking neural networks with multi-objective optimization algorithms for automatic digit speech recognition
Here, a new layered spiking neural network (SNN) learning framework is proposed using optimization algorithms for rapid and efficient pattern...
