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- research-articleFebruary 2024
Stage interval ratio DEA models and applications
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFhttps://doi.org/10.1016/j.eswa.2023.122397AbstractData envelopment analysis (DEA) is a crucial method for assessing the efficiency of decision-making units (DMUs). In practice, it is common to encounter situations where the performance of a DMU at a certain stage is evaluated, especially in ...
- research-articleFebruary 2024
Assessment of the performance of metaheuristic methods used for the inverse identification of effective heat capacity of phase change materials
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFhttps://doi.org/10.1016/j.eswa.2023.122373AbstractPhase change materials (PCMs) are one of the promising technologies for the carbon neutral future, since they can be effectively used for thermal energy storage (TES), and therefore can mitigate the energy supply/demand mismatch characteristic ...
Highlights- Description of difficult inverse identification problem.
- Extension of existing model for effective heat capacity curve.
- Evaluation of seven metaheuristics on seven case studies.
- The best-performing methods were LSHADE and DE.
- research-articleFebruary 2024
Multi-objective evolutionary optimization of extreme gradient boosting regression models of the internal turning of PEEK tubes
- Jéssica Tito Vieira,
- Robson Bruno Dutra Pereira,
- Carlos Henrique Lauro,
- Lincoln Cardoso Brandão,
- João Roberto Ferreira
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFhttps://doi.org/10.1016/j.eswa.2023.122372AbstractInternal turning or boring is an attractive machining process for hole enlarging as it presents low costs, good flexibility, and adaptability. The process presents some instability problems due to the high relation length/diameter ratio of the ...
Highlights- Internal turning of high-performance plastic PEEK is investigated.
- Statistical learning and multi-objective optimization approach is proposed.
- Extreme gradient boosting presented the best modeling performance.
- Multi-objective ...
- research-articleFebruary 2024
Proportional picture fuzzy sets and their AHP extension: Application to waste disposal site selection
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFhttps://doi.org/10.1016/j.eswa.2023.122354AbstractPicture fuzzy sets are an extension of intuitionistic fuzzy sets preferable when indecision degree is another parameter to define a membership of an element to a set additional to membership and non-membership degrees. A problem with picture ...
- research-articleFebruary 2024
Riemann–Liouville fractional integral type exponential sampling Kantorovich series
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFhttps://doi.org/10.1016/j.eswa.2023.122350AbstractIn the present paper, we introduce a new family of sampling Kantorovich type operators using fractional-type integrals. We study approximation properties of newly constructed operators and give a rate of convergence via a suitable modulus of ...
Highlights- Exponential-type sampling series were introduced in the 1980s by optical physicists and engineers to study physically phenomena.
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- research-articleFebruary 2024
Multiple passive-sensor distributed target tracking approach with Machine Learning Feedback
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFhttps://doi.org/10.1016/j.eswa.2023.122344AbstractIn this paper, a novel recursive state estimation approach in three-dimensional space for a non-maneuvering target is developed. The proposed technique employs angle and amplitude information in a distributed fusion setup, tackling the issue of ...
Highlights- Multi-Sensor Distributed tracking with local tracking and centralized track.
- The deep learning algorithm complements the Bayesian target tracking solution.
- Confidence level from CNN predictions is used to complement IPDA at local ...
- research-articleFebruary 2024
R&D&I efficiency AS one OF the Sustainable Development Goals (SDGS) in Europe: Application of a dynamic model with network structure and Cumulative Divisional Malmquist index (CDMI)
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFhttps://doi.org/10.1016/j.eswa.2023.122338AbstractIn European countries the measurement of the efficiency of Research, Development and Innovation (R&D&I) is a problematic issue for politicians and the general population. For this reason, the United Nations (UN) 2030 Agenda on Sustainable ...
- research-articleFebruary 2024
NOA-LSTM: An efficient LSTM cell architecture for time series forecasting
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFhttps://doi.org/10.1016/j.eswa.2023.122333AbstractThe application of Machine learning and deep learning techniques for time series forecasting has gained significant attention in recent years. Numerous endeavors have been devoted to automating forecasting through the utilization of cutting-edge ...
- research-articleFebruary 2024
A novel deformation monitoring model for high arch dams using impulse response-based equivalent temperature and machine learning-aided separate modeling
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFhttps://doi.org/10.1016/j.eswa.2023.122328Highlights- A temperature component is given by theoretical inference and parameter optimization.
- Separate modeling technique is proposed based on ICEEMDAN and clustering analysis.
- The ET-SMT-DELM model is established by a multi-output deep ...
The anatomy of service status through health monitoring models is essential to long-term structural safety. Since deformation is the intuitive representation of the dam's operating condition, it is crucial to investigate the deformation ...
- research-articleFebruary 2024
Improving conformalized quantile regression through cluster-based feature relevance
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFhttps://doi.org/10.1016/j.eswa.2023.122322AbstractConformalized quantile regression, a cutting-edge and model-agnostic algorithm, has emerged as a recent innovation to generate valid prediction intervals on finite samples while addressing heteroscedasticity. It starts by employing quantile ...
Highlights- A novel algorithm for tabular data that generates valid prediction intervals while handling heteroscedasticity.
- Computationally cheap, no retraining is involved nor necessary, under the mild assumption of exchangeability.
- ...
- research-articleFebruary 2024
Comprehensive learning TLBO with recursive precedence-based solution construction and multilevel local search for the linear ordering problem
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFhttps://doi.org/10.1016/j.eswa.2023.122315AbstractThe linear ordering problem (LOP) is a difficult permutation-based optimization task with a multitude of practical applications in different areas. The objective of the LOP is to maximize the total of the benefits associated with the pairwise ...
Highlights- Discrete TLBO algorithm for the linear ordering problem (LOP).
- Adopts an adaptive comprehensive learning strategy.
- Exploits the structure knowledge of the LOP.
- Uses a recursive permutation construction procedure with multilevel ...
- research-articleFebruary 2024
A high order fractal-based Kullback–Leibler divergence with application in classification
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFhttps://doi.org/10.1016/j.eswa.2023.122297AbstractDempster–Shafer evidence theory (DSET) is extensively employed in multi-source data fusion applications. Nonetheless, when belief probability assignments (BPAs) exhibit considerable conflict, unexpected results can occur. To address this ...
Highlights- High-order fractal BPA and KL divergence using continuous Pignistic process.
- Optimal fractal high-order K via proposed Difference of Deng entropy convergence.
- K-order fractal KL divergence outperforms existing measures in ...
- research-articleFebruary 2024
SARAH-M: A fast stochastic recursive gradient descent algorithm via momentum
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFhttps://doi.org/10.1016/j.eswa.2023.122295AbstractAs a simple but effective way, the momentum method has been widely adopted in stochastic optimization algorithms for large-scale machine learning problems and the success of stochastic optimization with the momentum term for many applications in ...
Highlights- The efficacy of the variance reduced method with momentum is verified.
- An adaptive variance reduced method with momentum is proposed.
- The convergence properties of the proposed methods are provided.
- Experimental results show ...
- research-articleFebruary 2024
Multi-channel distribution in the banking sector and the branch network restructuring
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFhttps://doi.org/10.1016/j.eswa.2023.122294AbstractEuropean banking groups have been addressing the problem of restructuring their branch networks. Indeed, in the light of the recent digital transition of services, they aim to leverage digital channels to deliver basic services and reduce the ...
Highlights- The branch network restructuring problem is addressed.
- Branch closure, diversification, and outsourcing are the restructuring decisions.
- A hierarchical covering location model supports the decision-making process.
- The model has ...
- research-articleFebruary 2024
Multichannel spatial–temporal graph convolution network based on spectrum decomposition for traffic prediction
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFhttps://doi.org/10.1016/j.eswa.2023.122281AbstractTraffic prediction is an important topic in intelligent transportation systems (ITSs) that can provide support for many traffic applications. However, accurate traffic prediction is a challenging task, and its difficulties mainly come from the ...
Highlights- We introduced DFT and spectrum analysis into traffic prediction.
- An attention mechanism is utilized to reduce the adverse impact of local fluctuations.
- A novel multichannel spatial–temporal graph convolution network is constructed.
- research-articleFebruary 2024
Ordinal classification for interval-valued data and interval-valued functional data
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFhttps://doi.org/10.1016/j.eswa.2023.122277AbstractThe aim of ordinal classification is to predict the ordered labels of the output from a set of observed inputs. Interval-valued data refers to data in the form of intervals. For the first time, interval-valued data and interval-valued functional ...
Highlights- Six ordinal classifiers for interval data-valued data are proposed.
- Ordinal methods for interval-valued functional data are also proposed.
- Considering ordering and interval-valued information improves the accuracy.
- A kernel-...
- research-articleFebruary 2024
Optimal solution of the combined heat and power economic dispatch problem by adaptive fitness-distance balance based artificial rabbits optimization algorithm
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFhttps://doi.org/10.1016/j.eswa.2023.122272AbstractCombined heat and power economic dispatch (CHPED) problem is one of the most widely handled, optimization problem by researchers in modern power systems. CHPED problem is a complicated, non-continuous, and non-convex optimization problem due to ...
- research-articleFebruary 2024
Designing a virtual cellular manufacturing system with route selection and workers’ considerations: A multi-objective robust possibilistic model
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFhttps://doi.org/10.1016/j.eswa.2023.122263AbstractIn today’s economy, the necessity for responsiveness to variations in customers’ permanent requirements is increasing significantly. Achieving immediate response or success in the competitive market requires boosting flexibility, agility, and ...
- research-articleFebruary 2024
Optimizing signal smoothing using HERS algorithm and time fractional diffusion equation
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFhttps://doi.org/10.1016/j.eswa.2023.122250AbstractSignal processing is often affected by various sources of noise that can distort or modify the signals. Removing these noises from the original signal is a crucial step in signal processing, and researchers have proposed several approaches to ...
- research-articleFebruary 2024
Heterogeneous graph-based knowledge tracing with spatiotemporal evolution
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFhttps://doi.org/10.1016/j.eswa.2023.122249AbstractKnowledge tracing (KT), in which the future performance of students is estimated by tracing their knowledge states based on their responses to exercises, is widely applied in the field of intelligent education. However, existing mainstream KT ...