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A decomposition-based approximate entropy cooperation long short-term memory ensemble model for short-term load forecasting
Short-term load forecasting with high accuracy is essential to power systems. Because power loads involve high volatility and uncertainty, it is...
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Recent Applications and Advances of Migrating Birds Optimization
In this paper, the recent applications and advances of Migrating Birds Optimization (MBO) algorithm are reviewed. The MBO originated from the V...
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Game theory for B5G upper-tier resource allocation using network slicing
Network slicing (NS) has emerged as a promising solution that enables network operators to slice network resources such as spectrum and bandwidth to...
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On the Vulnerability of Deep Reinforcement Learning to Backdoor Attacks in Autonomous Vehicles
Recent work has shown that the introduction of autonomous vehicles can help solve critical transportation issues, such as reducing traffic jams. Deep...
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Automatic algorithm design of distributed hybrid flowshop scheduling with consistent sublots
The present-day globalized economy and diverse market demands have compelled an increasing number of manufacturing enterprises to move toward the...
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Evolutionary game analysis for non-cooperative behavior of entities in a closed-loop green supply chain under government intervention
Decentralized behavior of entities in a green supply chain plays a significant role in pricing and green innovation effort to produce more...
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Intelligent Transportation System Based on Internet of Things (IoT)-Based Cloud Applications
With the advancement of urbanization and the ongoing construction of transportation infrastructure, traffic congestion has become a major issue in...
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Predictive modeling of surface and dimensional features of vapour-smoothened FDM parts using self-adaptive cuckoo search algorithm
Despite numerous advantages of fused deposition modeling (FDM), the inherent layer-by-layer deposition behavior leads to considerable surface...
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Overcoming ignorance and the unknown in UAE projects: the role of improvisation
This study sets out to examine how the effects of ignorance and the unknown in project settings can be overcome through project manager...
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A fast interpolation-based multi-objective evolutionary algorithm for large-scale multi-objective optimization problems
Evaluating large-scale multi-objective problems is usually time-consuming due to the vast number of decision variables. However, most of the existing...
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A resource allocation-based multi-objective evolutionary algorithm for large-scale multi-objective optimization
In large-scale multi-objective optimization problems (LSMOPs), multiple conflicting objectives and hundreds even thousands of decision variables are...
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Dynamic product planning for online service platform coordinating with service agents and operations resource providers: a three-level optimization approach
Product planning or product line design is critical for online service platform operations nowadays. There are limited studies on systematic...
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MAFNet: dual-branch fusion network with multiscale atrous pyramid pooling aggregate contextual features for real-time semantic segmentation
Currently, many real-time semantic segmentation networks aim for heightened accuracy, inevitably leading to increased computational complexity and...
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Looking Beyond Collaboration: Socioemotional Positive, Negative and Task-Oriented Behaviors in Human–Robot Group Interactions
In this paper, we aim to increase the understanding of human–robot interaction by considering the goal orientation displayed by the robot (i.e.,...
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Automation in the Wood, Paper, and Fiber Industry
Machine and plant automationpaperindustry wood industryin the timber (wood) industry and paper industry has many analogies due to the similar process...
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How Are Brand Activity and Purchase Behavior Affected by Digital Marketing in the Metaverse Universe?
With the widespread adoption of Metaverse for digital marketing purposes, a debate has flourished about the opportunities it offers to both customers...
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Transfer Pricing as Bargaining
The Nash bargaining game theory technique is used in this chapter to examine and provide a solution to the transfer pricing problem. We analyze a...
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Feature selection using symmetric uncertainty and hybrid optimization for high-dimensional data
Recently, when handling high-dimensional data, it has become extremely difficult to search this optimal subset of selected features due to the...
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Influencing leading and following in human–robot teams
Roles such as leading and following can emerge naturally in human groups. However, in human–robot teams, such roles are often predefined due to the...
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Optimization on the multi-period empty container repositioning problem in regional port cluster based upon inventory control strategies
Within the area of regional port clusters, this paper establishes a multi-period mixed integer programming model to optimize the empty container...
