Almat Akhmetali
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View article: The role of fractal dimension in wireless mesh network performance
The role of fractal dimension in wireless mesh network performance Open
View article: The role of fractal dimension in wireless mesh network performance
The role of fractal dimension in wireless mesh network performance Open
Wireless mesh networks (WMNs) depend on the spatial distribution of nodes, which directly influences connectivity, routing efficiency, and overall network performance. Conventional models typically assume uniform or random node placement, …
View article: Machine learning-based classification of variable stars using phase-folded light curves
Machine learning-based classification of variable stars using phase-folded light curves Open
Classifying variable stars is crucial for advancing our understanding of stellar evolution and dynamics. As large-scale surveys generate increasing volumes of light curve data, the demand for automated and reliable classification technique…
View article: The Role of Fractal Dimension in Wireless Mesh Network Performance
The Role of Fractal Dimension in Wireless Mesh Network Performance Open
Wireless mesh networks (WMNs) depend on the spatial distribution of nodes, which directly influences connectivity, routing efficiency, and overall network performance. Conventional models typically assume uniform or random node placement, …
View article: Luminis Stellarum et Machina: Applications of Machine Learning in Light Curve Analysis
Luminis Stellarum et Machina: Applications of Machine Learning in Light Curve Analysis Open
The rapid advancement of observational capabilities in astronomy has led to an exponential growth in the volume of light curve (LC) data, creating both opportunities and challenges for time-domain astronomy. Traditional analytical methods …
View article: A routing algorithm for wireless mesh network based on information entropy theory
A routing algorithm for wireless mesh network based on information entropy theory Open
Nowadays, wireless mesh networks (WMNs) are rapidly spreading around the world due to their competitive advantages. Beyond this, their adaptability is evident in supporting a wide range of applications: from powering broadband home network…
View article: Classification of Variable Star Light Curves with Convolutional Neural Network
Classification of Variable Star Light Curves with Convolutional Neural Network Open
The classification of variable stars is essential for understanding stellar evolution and dynamics. With the growing volume of light curve data from extensive surveys, there is a need for automated and accurate classification methods. Trad…
View article: MEGA: Maximum-Entropy Genetic Algorithm for Router Nodes Placement in Wireless Mesh Networks
MEGA: Maximum-Entropy Genetic Algorithm for Router Nodes Placement in Wireless Mesh Networks Open
Over the past decade, wireless mesh networks (WMNs) have seen significant advancements due to their simple deployment, cost-effectiveness, ease of implementation, and reliable service coverage. However, despite these advantages, the placem…
View article: Experimental Performance Comparison of Proactive Routing Protocols in Wireless Mesh Network Using Raspberry Pi 4
Experimental Performance Comparison of Proactive Routing Protocols in Wireless Mesh Network Using Raspberry Pi 4 Open
Nowadays, Wireless Mesh Networks (WMNs) are widely deployed in communication areas due to their ease of implementation, dynamic self-organization, and cost-effectiveness. The design of routing protocols is critical for ensuring the perform…
View article: ЭНТРОПИЯ ГРАВИТАЦИОННЫХ ВОЛН
ЭНТРОПИЯ ГРАВИТАЦИОННЫХ ВОЛН Open
г]равитационные волны (ГВ), структура пространствавремени, дают уникальное представление о динамике массивных небесныхобъектов и связанных с ними катастрофических событии. В то времякак обнаружение и анализ ГВ значительно продвинули наше п…
View article: Classification of Gravitational Waves from Black Hole-Neutron Star Mergers with Machine Learning
Classification of Gravitational Waves from Black Hole-Neutron Star Mergers with Machine Learning Open
This study developed a machine learning-based methodology to classify gravitational wave (GW) signals from black hole-neutron star (BH-NS) mergers by combining convolutional neural network (CNN) with conditional information for feature ext…
View article: MEGA: Maximum-Entropy Genetic Algorithm for Router Nodes Placement in Wireless Mesh Networks
MEGA: Maximum-Entropy Genetic Algorithm for Router Nodes Placement in Wireless Mesh Networks Open
Over the past decade, Wireless Mesh Networks (WMNs) have seen significant advancements due to their simple deployment, cost-effectiveness, ease of implementation and reliable service coverage. However, despite these advantages, the placeme…
View article: Fractal dimension of star clusters
Fractal dimension of star clusters Open
Quantitative analysis of the structure of star clusters is crucial for understanding their formation and evolution. In this article, we explore the application of fractal dimension analysis to study the evolution of star clusters, also fra…
View article: Single Gateway Placement in Wireless Mesh Networks
Single Gateway Placement in Wireless Mesh Networks Open
Wireless Mesh Networks (WMNs) are crucial for various sectors due to their adaptability and scalability, providing robust connectivity where traditional wired networks are impractical. WMNs facilitate smart city initiatives, disaster recov…
View article: Single gateway placement in wireless mesh networks
Single gateway placement in wireless mesh networks Open
Wireless Mesh Networks (WMNs) remain pivotal in various domains due to their versatility and scalability, offering robust and adaptable connectivity in areas where traditional wired networks are impractical. They find extensive use in dive…
View article: Automatic Modulation Classification for MIMO System Based on the Mutual Information Feature Extraction
Automatic Modulation Classification for MIMO System Based on the Mutual Information Feature Extraction Open
Automatic Modulation Classification (AMC) is an essential technology that is\nwidely applied into various communications scenarios. In recent years, many\nMachine Learning and Deep-Learning methods have been introduced into AMC, and a\nlot…
View article: Routing Algorithm for Software Defined Network Based on Boxcovering Algorithm
Routing Algorithm for Software Defined Network Based on Boxcovering Algorithm Open
A routing algorithm is the most fundamental problem in complex network\ncommunication. In complex networks, the amount of computation increases as the\nnumber of nodes increases which reduces routing performance. In this paper, we\npropose…