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Distributed Evolutionary Algorithms with Synchronous and Asynchronous Communication for Large-Scale Optimization

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Abstract— Evolutionary algorithms (EAs) are a famous class of met heuristic methods for solving optimization issues. They may be primarily based at the standards of herbal choice and genetics, and were successfully carried out to a huge range of optimization problems in various fields inclusive of engineering, economics, and biology. However, as the scale and … Read more

Enhancing Recommender Systems with Bi-LSTM and Collaborative Filtering

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Abstract— Recommender structures have turn out to be more and more vital for companies and customers alike, as they assist customers to find relevant gadgets or information in an increasing number of overwhelming amounts of alternatives. Conventional recommender structures employ content-based, collaborative filtering, or hybrid methods to make personalized pointers. But, these strategies have their … Read more

Detecting Features in Images Using Long-Short Term Memory Networks

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Abstract— The accuracy and precision of figuring out features in snap shots is critical for various laptop vision responsibilities together with item recognition and scene understanding. But, because of the complex nature of images, traditional strategies based accessible-crafted features frequently fail to appropriately detect and classify gadgets in distinctive situations. To cope with this issue, … Read more

Assessing Long-Term Forecasts with ARIMA Modeling

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Abstract— The emergence of smart city structures has delivered approximately a significant increase within the use of internet of factors (IoT) devices and technology. Those structures depend on big quantities of facts to allow numerous offerings, such as transportation, utilities, and public protection. In city environments, the density of IoT gadgets can lead to congestion … Read more

Investigating Network Security in Wireless Sensor Networks with Hybrid Network Security Algorithms

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Abstract— Wi-Fi Sensor Networks (WSNs) have emerged as a precious era for a wide range of programs, inclusive of environmental tracking, healthcare, and commercial automation. In these networks, sensors gather records and transmit it to a vital base station for further processing. The disbursed nature of WSNs and their reliance on wireless communiqué lead them … Read more

Cognitive Services for 6G Cloud Communication Systems

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Abstract— The next era of cloud communication structures, referred to as 6G, is poised to be a considerable development inside the global of wireless communication. With the growing call for real-time and customized offerings, 6G will require highly advanced cognitive skills to deal with the massive quantity of facts generated via various side devices. Microsoft’s … Read more

Design and Implementation of Software-Defined Radio (SDR) Platforms for 5G Network Prototyping

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Abstract— Software-defined radio (SDR) is a rapidly evolving technology that enables users to create flexible, configurable and reprogrammable Wi-Fi communication structures. With the advancement of 5G networks, there may be a developing want for SDR systems that can help various wireless protocols, which includes both 5G and legacy standards. On this technical summary, we gift … Read more

Cloud-Ran and Decentralized RAN Architectures in 6G: A Comparative Study

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Abstract— In the 5th generation (5G) of Wi-Fi verbal exchange networks, the Cloud Radio get right of entry to network (C-RAN) has been proposed as a promising architecture to triumph over the limitations of traditional Radio access community (RAN) designs. In this version, the baseband processing is centralized in a cloud-based totally server, while the … Read more

Distributed Reinforcement Learning-Based Dynamic Spectrum Sharing in 6G V2X Systems

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Abstract— The following era of wireless conversation, 6G, goals to guide rising technology which include the net of factors (IoT), self-sufficient motors, and digital reality. One of the key demanding situations in 6G structures is the efficient usage of the limited spectrum sources to accommodate the diverse demands of those rising packages. Dynamic Spectrum Sharing … Read more

Optimizing Network Performance in Cloud Computing Environments: A Survey

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Abstract— Cloud computing has become an increasingly more popular choice for corporations in need of bendy and price-powerful computing answers. However, with the speedy increase in statistics extent and traffic in cloud environments, optimizing community performance has come to be a critical factor of ensuring provider transport. In this technical abstract, we can talk the … Read more