Large Language Models and Artificial Intelligence Generated Content Technologies Meet Communication Networks

J Guo, M Wang, H Yin, B Song, Y Chi… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Artificial intelligence generated content (AIGC) technologies, with a predominance of large
language models (LLMs), have demonstrated remarkable performance improvements in …

A hybrid control topology for cascaded H-bridge multilevel inverter to improve the power quality of smart grid connected system: NBO-RERNN approach

CR Rajesh, P Meenalochini, SK Kannaiah… - Expert Systems with …, 2024 - Elsevier
This manuscript proposes a hybrid control technique for the grid-connected photovoltaic
(PV) generation system with a cascaded multilevel inverter (CMLI). The proposed hybrid …

Systematic review and future perspectives on cascading failures in Internet of Things: Modeling and optimization

X Fu, D Zheng, X Liu, L **ng, R Peng - Reliability Engineering & System …, 2024 - Elsevier
Under the influence of cascading failures, the failure of a small number of nodes or
components may lead to the paralysis of the entire network system. Cascading failures have …

A landscape-aware particle swarm optimization for parameter identification of photovoltaic models

Y Li, K Yu, J Liang, C Yue, K Qiao - Applied Soft Computing, 2022 - Elsevier
Photovoltaic (PV) systems play a significant role in power systems since they can convert
solar energy directly into electricity. Their conversion performance depends mainly on the …

Optimizing harmonic mitigation for smooth integration of renewable energy: A novel approach using atomic orbital search and feedback artificial tree control

B Kiruthiga, R Karthick, I Manju… - Protection and Control …, 2024 - ieeexplore.ieee.org
This paper proposes an intelligent hybrid method for reducing harmonics to enhance power
quality in a distribution system based on renewable energy sources. The proposed …

Enhanced Elman spike Neural network optimized with flamingo search optimization algorithm espoused lung cancer classification from CT images

TS Prakash, AS Kumar, CRB Durai, S Ashok - … Signal Processing and …, 2023 - Elsevier
At present, researchers have been try to enhance the CAD system performance utilizing
deep learning techniques in lung cancer screening and computed tomography (CT), but …

A sustainable pattern of waste management and energy efficiency in smart homes using the internet of things (IoT)

M Ehsanifar, F Dekamini, C Spulbar, R Birau… - Sustainability, 2023 - mdpi.com
Nowadays, environmental protection involves many issues and problems, among which the
waste generated by various human activities makes up a significant share, which is …

Energy efficient region based source distributed routing algorithm for sink mobility in underwater sensor network

S Pradeep, TBBR Bapu, R Rajendran… - Expert Systems with …, 2023 - Elsevier
The residual nodes energy consumption is a primary factor to extend the lifespan of network.
Utilizing a sensor node's very low-power battery in Underwater Wireless Sensor Networks …

Performance analysis of buck converter with fractional PID controller using hybrid technique

S Sangeetha, BS Revathi, K Balamurugan… - Robotics and …, 2023 - Elsevier
In this paper, a hybrid technique is proposed for analyzing the performance of buck
converters with fractional-order proportional integral derivative (FOPID) controllers. The …

An experimental analysis for clay bricks manufacturing with partial replacement of glass wool

Y Pamu, P SVSNDL - Australian Journal of Structural Engineering, 2023 - Taylor & Francis
This manuscript proposes an experimental analysis for clay bricks manufacturing with partial
replacement of glass wool. The physical, mechanical and durability features of bricks …