Large Language Models and Artificial Intelligence Generated Content Technologies Meet Communication Networks
Artificial intelligence generated content (AIGC) technologies, with a predominance of large
language models (LLMs), have demonstrated remarkable performance improvements in …
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 …
(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
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 …
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
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 …
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
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 …
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
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 …
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)
Nowadays, environmental protection involves many issues and problems, among which the
waste generated by various human activities makes up a significant share, which is …
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 …
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
In this paper, a hybrid technique is proposed for analyzing the performance of buck
converters with fractional-order proportional integral derivative (FOPID) controllers. The …
converters with fractional-order proportional integral derivative (FOPID) controllers. The …
An experimental analysis for clay bricks manufacturing with partial replacement of glass wool
This manuscript proposes an experimental analysis for clay bricks manufacturing with partial
replacement of glass wool. The physical, mechanical and durability features of bricks …
replacement of glass wool. The physical, mechanical and durability features of bricks …