Expert Systems with Applications: An International Journal

The important foundation for water resource management and utilization is effective monthly runoff prediction. In this study, a new coupled model for predicting monthly runoff is proposed. In order to predict the decomposed subsequences ...

• Considering the spatiotemporal dependency of power grid.
• Long-term temporal dependency of power grid data.
• Integration of local and global spatial dependency of power grid topology.

False data injection attacks (FDIA) severely impact the secure operation of power grid, making accurate FDIA detection crucial for stability of power grid. Considering the complex spatiotemporal dependency of the power grid, this paper proposes a ...

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• Proposed RSEnkNN model predicted rehabilitation duration after functional disorders.
• Novel metric RoGR tracks rehabilitation progression allowing human variability.
• RFE presented most contributing features for clinical ...

Rate of Recovery during the rehabilitation procedure is not effectively evaluated due to existing limitations of measurement tools and large human variability. The conventional way to treat lower-limb injuries is by conducting a physician-guided ...

There is a growing need of stochastic integral equations (SIEs) to investigate the behavior of complex dynamical systems. Since real-world phenomena frequently dependent on noise sources, modeling them naturally necessitates the use of SIEs. As ...

• A novel technique (NT) for solving nonlinear integral equations (IEs) is given.
• The NT reduces the SIEs to nonlinear algebraic systems.
• The combination of Lagrange functions and Jacobi–Gauss points is investigated.
• A comparison ...

Food-wine pairing is an essential study in the culinary world and requires extensive research of the underlying food and wine pairing principles. To understand the principles of pairing, we must understand the characteristics of food, and wine, ...

Necessity of predictive maintenance appears when production assets such as machines need either a repair or a regular check. When it comes to monitoring digital twins of objects, maintenance predictions in time play a significant role. This study ...

Advanced driver assistance systems (ADASs) can effectively enhance driving and safety performance. Due to the inherent limitations of in-vehicle technologies concerning information sharing, existing studies mainly focus on demonstrating the ...

This paper explores the interaction of supplier development and supplier integration in competing electric vehicle (EV) supply chains with power battery recycling, each composing of one electric vehicle manufacturer (EVM) and one power battery ...

In this article we present a model of adjustable moisture control for historical buildings. Proposed system is developed in a form of flexible IoT infrastructure in which a complex system of sensors is set to measure inside conditions of humidity ...

• ELM with HBA is intended to predict SOC of the battery at various temperatures.
• Design a lithium ion battery and collect data under various temperatures.
• Data cleaning and normalization is applied on the collected data.
• The pre-...

Accurate state-of-charge (SOC) detection was still a challenging task to complete due to complex battery dynamics and constantly changing external conditions. The formula for SOC was difficult to determine since external parameters including ...

Recently, a theory called random permutation set (RPS) is proposed, which is the extension of Dempster–Shafer evidence theory. It defines a permutation event space (PES) to represent the order of events and uses the RPS to represent the support ...

Improper sorting of construction and demolition waste (CDW) leads to significant environmental and economic implications, including inefficient resource use and missed recycling opportunities. To address this, we developed a machine-learning-...

• Classifiers were trained to recognize construction and demolition waste (CDW).
• CDW fragments were recognized from RGB images.
• Features were extracted for GB and MLP models; CNN employed convolution.
• GB and MLP outperformed CNN ...

Distributed Job-shop Scheduling Problem (DJSP) is a hotspot in industrial and academic fields due to its valuable application in the real-life productions. For DJSP, the available methods aways complete the job selection first and then search for ...

In this paper, we propose a parameter training method in convolutional neural networks (CNNs). To introduce the orders and the cost function into the parameter optimization in CNNs, we give a definition of the Hausdorff-like derivative by ...

• A definition of the improved Hausdorff-like derivative is presented.
• The improved Hausdorff-like derivative is applied to the back propagation.
• An adaptive tuning method for the order is presented.
• The Adam algorithm with the ...

Text clustering is a task for grouping extracted information of the text in different clusters, which has many applications in recommender systems, sentiment analysis, and more. Deep learning-based methods have become increasingly popular due to ...

Global optimization of high-dimensional non-convex functions arises in many important applications and researches. In this paper, we focus on the minimum energy configuration problem on the unit sphere, whose goal is to determine the minimum-...

• We propose an efficient heuristic for the global optimization of potentials on the sphere.
• The logarithmic potential is systematically optimized for the instances with up to N = 500 particles.
• The features of minimum-energy ...

Cross-border retail firms are often exposed to a lack of working capital for their procurement, especially for sudden increases in demand on special holidays such as Black Friday. This paper studies a cross-border product stochastic inventory ...

• Entrusted loans following bonded warehouse financing make sense in bonded warehouses.
• Entrusted loan financing increase the procurement quantity of cross-border firms.
• Increase in bonded warehouse financing limit reduces firms’ ...

This paper proposes a text-independent method for authorship identification using handwritten word images. Our method is text-independent and imposes no limitations on the size of the input word images being analyzed. To begin with, the SIFT ...

This paper addresses a novel scheduling problem, namely the cascaded flowshop joint scheduling problem (CFJSP), which has critical applications in the modern electronic information equipment manufacturing industry. The CFJSP is composed of a ...

Network analysis opens new horizons for data analysis methods, as the results of ever-developing network science can be integrated into classical data analysis techniques. This paper presents the generalized version of network-based ...

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• A generalized network-based dimensionality reduction method (GNDA) is proposed.
• A random block-matrix generator is proposed to test the dimensionality reductions.
• GNDA provides the best accuracy and an adequate number of latent ...

Markowitz’s portfolio selection model has been the biggest step-forward in financial decision making and has been the central point of research since its inception. The mean–variance model led to the foundation of the modern portfolio theory and ...

Direct power control (DPC) is used in wind turbine systems (WTSs) to regulate the energy of the doubly-fed induction generators (DFIG). Due to its features, including simplicity, effectiveness in supporting active and reactive power during ...

Recently, the significance of accurate aircraft delay forecasting has grown in the aviation sector, which caused multi-billion-dollar losses faced by airlines and airports and passenger loyalty losses. Due to the importance of accurate flight ...

The prosperity of international trade has driven the development of shipping. Thus, evaluating shipping risks can better avoid risks, improve shipping safety, and promote economic and cultural communication and development. Failure Mode and ...

Man overboard (MOB) incidents happened continuously and they are the main type of suffering incident at the sea. From the MOB situation, searching and rescuing (SAR) operations are occurring in global coastal countries. According to the ...

Existing locally weighted ensemble clustering algorithms strive to weight each cluster and take into account the differences among all clusters, but they tend to ignore the basic cluster labels. The purpose of this paper is to combine the ...

Over the last decade, videos uploaded and shared through web-based multimedia platforms and mobile applications have proliferated worldwide. This is because cloud-based applications such as iCloud, YouTube, Facebook, Twitter, and WhatsApp offer ...

• A CNN-based hierarchical structure is presented for model camera identification.
• A sparse representation based fusion method for the extracted deep features.
• Improved accuracy for our approach: the proposed structure shows improved ...

• Minimize power loss by optimizing the simultaneous SOP placement and the open switch position.
• Validation of the effect of the number of SOPs for power loss reduction.
• GO is adapted for finding the optimal SOP placement and the ...

Network reconfiguration through the selection of open switch positions on the electric distribution network (EDN) is an effective solution to reduce power loss on the EDN. However, when the switches are opened, there will be no power flow through ...

EXplainable Artificial Intelligence (XAI) aims at improving users’ trust in black-boxed models by explaining their predictions. However, XAI techniques produced unreasonable explanations for software defect prediction since expected outputs (e.g.,...

• We summarize the concerns of developers related to code smell criticality.
• We verify the gap exists between XAI explanation and developers’ expectations.
• We discover that the gap could be narrowed by adapting to developers.
• We ...