Decision-Making Model Construction of Emergency Material Allocation for Critical Incidents Based on BP Neural Network Algorithm: An Overview DOI
Yan Yan

Archives of Computational Methods in Engineering, Год журнала: 2024, Номер 31(6), С. 3497 - 3513

Опубликована: Март 14, 2024

Язык: Английский

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

Kewei Bian,

Rahul Priyadarshi

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

Опубликована: Март 29, 2024

Язык: Английский

Процитировано

39

Evolution of Swarm Intelligence: A Systematic Review of Particle Swarm and Ant Colony Optimization Approaches in Modern Research DOI
Rahul Priyadarshi, Ravi Kumar

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

Опубликована: Март 18, 2025

Язык: Английский

Процитировано

2

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

Varsha Kumari,

Arka Prokash Mazumdar

и другие.

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

Опубликована: Фев. 12, 2025

Язык: Английский

Процитировано

1

Denoising and segmentation in medical image analysis: A comprehensive review on machine learning and deep learning approaches DOI
Ravi Kumar, Rahul Priyadarshi

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

Опубликована: Май 17, 2024

Язык: Английский

Процитировано

9

Blockchain 6G-Based Wireless Network Security Management with Optimization Using Machine Learning Techniques DOI Creative Commons
P. Chinnasamy,

G. Charles Babu,

Ramesh Kumar Ayyasamy

и другие.

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

Процитировано

8

Techniques employed in distributed cognitive radio networks: a survey on routing intelligence DOI
Rahul Priyadarshi, Ravi Kumar, Ying Zhang

и другие.

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

Опубликована: Апрель 10, 2024

Язык: Английский

Процитировано

7

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

Zihang Jia

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

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Large Language Models Meet Next-Generation Networking Technologies: A Review DOI Creative Commons
Ching Nam Hang, Pei-Duo Yu, Roberto Morabito

и другие.

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

Процитировано

5

Enhancing Coverage in Wireless Sensor Networks Using Machine Learning Techniques DOI
Rahul Priyadarshi, Raj Vikram,

ZeKun Huang

и другие.

Опубликована: Июнь 11, 2024

Язык: Английский

Процитировано

5

Policy Framework for Realizing Net-Zero Emission in Smart Cities DOI

Peiying Wang,

Rahul Priyadarshi

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

Опубликована: Апрель 30, 2024

Язык: Английский

Процитировано

4