Machine Learning Optimization Techniques: A Survey, Classification, Challenges, and Future Research Issues

Archives of Computational Methods in Engineering, Год журнала: 2024, Номер unknown

Опубликована: Март 29, 2024

Язык: Английский

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Evolution of Swarm Intelligence: A Systematic Review of Particle Swarm and Ant Colony Optimization Approaches in Modern Research

Archives of Computational Methods in Engineering, Год журнала: 2025, Номер unknown

Опубликована: Март 18, 2025

Язык: Английский

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RL-EAR: reinforcement learning-based energy-aware routing for software-defined wireless sensor network

The Journal of Supercomputing, Год журнала: 2025, Номер 81(3)

Опубликована: Фев. 12, 2025

Язык: Английский

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Denoising and segmentation in medical image analysis: A comprehensive review on machine learning and deep learning approaches

Multimedia Tools and Applications, Год журнала: 2024, Номер unknown

Опубликована: Май 17, 2024

Язык: Английский

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Blockchain 6G-Based Wireless Network Security Management with Optimization Using Machine Learning Techniques

Sensors, Год журнала: 2024, Номер 24(18), С. 6143 - 6143

Опубликована: Сен. 23, 2024

6G mobile network technology will set new standards to meet performance goals that are too ambitious for 5G networks satisfy. The limitations of have been apparent with the deployment more and networks, which certainly encourages investigation as answer future. This research includes fundamental privacy security issues related technology. Keeping an eye on real-time systems requires secure wireless sensor (WSNs). Denial service (DoS) attacks mark a significant vulnerability WSNs face, they can compromise system whole. proposes novel method in blockchain 6G-based management optimization using machine learning model. In this research, deployed is carried out user datagram transport protocol reinforcement projection regression. Then, completed artificial democratic cuckoo glowworm remora optimization. simulation results based various parameters regarding throughput, energy efficiency, packet delivery ratio, end–end delay, accuracy. order minimise traffic, it also offers capacity determine optimal node path selection data transmission. proposed technique obtained 97% 95% 96% accuracy, 50% 94% ratio.

Язык: Английский

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Techniques employed in distributed cognitive radio networks: a survey on routing intelligence

Multimedia Tools and Applications, Год журнала: 2024, Номер unknown

Опубликована: Апрель 10, 2024

Язык: Английский

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Research on Image Recognition and Classification Algorithms in Cloud Computing Environment Based on Deep Neural Networks

IEEE Access, Год журнала: 2025, Номер 13, С. 19728 - 19754

Опубликована: Янв. 1, 2025

Язык: Английский

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Large Language Models Meet Next-Generation Networking Technologies: A Review

Future Internet, Год журнала: 2024, Номер 16(10), С. 365 - 365

Опубликована: Окт. 7, 2024

The evolution of network technologies has significantly transformed global communication, information sharing, and connectivity. Traditional networks, relying on static configurations manual interventions, face substantial challenges such as complex management, inefficiency, susceptibility to human error. rise artificial intelligence (AI) begun address these issues by automating tasks like configuration, traffic optimization, security enhancements. Despite their potential, integrating AI models in engineering encounters practical obstacles including configurations, heterogeneous infrastructure, unstructured data, dynamic environments. Generative AI, particularly large language (LLMs), represents a promising advancement with capabilities extending natural processing translation, summarization, sentiment analysis. This paper aims provide comprehensive review exploring the transformative role LLMs modern engineering. In particular, it addresses gaps existing literature focusing LLM applications design planning, implementation, analytics, management. It also discusses current research efforts, challenges, future opportunities, aiming guide for networking professionals researchers. main goal is facilitate adoption networking, promoting more efficient, resilient, intelligent systems.

Язык: Английский

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Enhancing Coverage in Wireless Sensor Networks Using Machine Learning Techniques

Опубликована: Июнь 11, 2024

Язык: Английский

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Policy Framework for Realizing Net-Zero Emission in Smart Cities

Archives of Computational Methods in Engineering, Год журнала: 2024, Номер unknown

Опубликована: Апрель 30, 2024

Язык: Английский

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