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Application of energy combined thermal comfort in intelligent building management in complex environments
The efficient operation of heating ventilation and air conditioning systems relies on advanced control strategies. However, current control methods...
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Training time minimization for federated edge learning with optimized gradient quantization and bandwidth allocation
Training a machine learning model with federated edge learning (FEEL) is typically time consuming due to the constrained computation power of edge...
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Energy and delay co-aware intelligent computation offloading and resource allocation for fog computing networks
In the data-rich everything-connected world, rapid and green data processing is essential, especially for some delay-sensitive and...
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Multi-focus image fusion using curvature minimization and morphological filtering
Multi-focus image fusion has wide applications in the field of computer vision. This research work presents a two-fold multi-focus image fusion...
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Misinformation influence minimization by entity protection on multi-social networks
Massive amounts of information are generated in various social media and spread across multi-social networks through individual forwarding and...
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Scenario-Based Approach to Solve Optimal Reactive Power Dispatch Problem with Integration of Solar Energy Using Modified Ant Line Optimizer
This paper considers a scenario-based approach, a stochastic ORPD formulation and solution that accommodates uncertain load demand, and solar power....
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Dealing with Outliers in Wireless Sensor Networks Localization: An Iterative and Selection-Minimization Strategy
In recent years, there has been considerable interest in robust range-based Wireless Sensor Network (WSN) localization due to the increasing...
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Minimization of p-Laplacian via the Finite Element Method in MATLAB
Minimization of energy functionals is based on a discretization by the finite element method and optimization by the trust-region method. A key tool... -
Time and energy efficient data collection via UAV
Using unmanned aerial vehicles (UAVs) for data collection has emerged as a promising technique to achieve both time- and energy-efficient data...
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Mechanical Energy Minimization UAV-Mounted Base Station Path Plan for Public Safety Communication
The increasing number of situations in which wireless communication networks are damaged due to natural disasters has motivated researchers to... -
Simplified Gradient-Zeroing Neuronet for Temporally-Variant Convex Objective Function Minimization
Solving temporally-variant problems has recently become an important topic in the fields of science and engineering. With the development of... -
A comprehensive survey on meta-heuristic-based energy minimization routing techniques for wireless sensor network: classification and challenges
Wireless sensor networks (WSNs) refer to a group of battery-operated tiny sensor nodes having vast application areas in daily use. These are...
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Virtual machine migration based algorithmic approach for safeguarding environmental sustainability by renewable energy usage maximization in Cloud data centres
Data centres are reckoned as global connectivity hubs for networking. Cloud computing has emerged as a paradigm of paramount importance for...
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System Completion Time Minimization with Edge Server Onboard Unmanned Vehicle
With the advantages of flexibility and powerful computing resources, edge servers mounted on unmanned vehicles (V-edge) have attracted significant... -
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training
Deep learning models undergo a significant increase in the number of parameters they possess, leading to the execution of a larger number of... -
Energy efficiency optimization for a RIS-assisted multi-cell communication system based on a practical RIS power consumption model
Reconfigurable intelligent surface (RIS) is widely accepted as a potential technology to assist in communication between base stations (BSs) and...
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Reinforcement learning based energy efficient resource allocation strategy of MapReduce jobs with deadline constraint
Big Data applications require more energy consumption to process a massive volume of data in a heterogeneous environment. Moreover, reducing energy...
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Text Line Extraction Using Fully Convolutional Network and Energy Minimization
Text lines are important parts of handwritten document images and easier to analyze by further applications. Despite recent progress in text line... -
Analysis of a multi-energy coupling model for rural energy under the rural digital economy
With the growth of the digital economy, the sustainable growth of rural energy has become crucial. However, traditional rural energy models have the...
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A Model to Detect Low Income Urban Areas to Plan Renewable Energy Communities Against Energy Poverty
This work is included in a broader research project, aimed at promoting the development of Renewable Energy Communities (RECs) through urban planning...