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Expert Systems with Applications （ESWA） - Volume 184 论文列表

点击这里查看 Expert Systems with Applications 的JCR分区、影响因子等信息
卷期号： Volume 184
发布时间： 1 December 2021
卷期年份： 2021
卷期官网： https://www.sciencedirect.com/journal/expert-systems-with-applications/vol/184/suppl/C
本期论文列表
Editorial Board

A new PC-PSO algorithm for Bayesian network structure learning with structure priors

Feature weighting methods: A review

Z-relation equation-based decision making

A systematic analysis and guidelines of graph neural networks for practical applications

A probabilistic linguistic dominance score method considering individual semantics and psychological behavior of decision makers

Evaluation of the impact of blockchain technology on supply chain using cognitive maps

Comments on “Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection”

Involvement of controllable lead time and variable demand for a smart manufacturing system under a supply chain management

Smart, comfortable wearable system for recognizing Arabic Sign Language in real-time using IMUs and features-based fusion

Gated relational stacked denoising autoencoder with localized author embedding for global citation recommendation

HAOP-Miner: Self-adaptive high-average utility one-off sequential pattern mining

Personal Protection Equipment detection system for embedded devices based on DNN and Fuzzy Logic

Blockchain for consortium: A practical paradigm in agricultural supply chain system

Multi-attribute group decision-making considering opinion dynamics

A multi-task CNN approach for lung nodule malignancy classification and characterization

Time-series interval prediction under uncertainty using modified double multiplicative neuron network

A recommender model based on strong and weak social Ties: A Long-tail distribution perspective

Investment strategies applied to the Brazilian stock market: A methodology based on Sentiment Analysis with deep learning

A probabilistic graph-based method to solve precision-diversity dilemma in recommender systems

Novel hybrid model based on echo state neural network applied to the prediction of stock price return volatility

Deep4SNet: deep learning for fake speech classification

Automated classification of lung sound signals based on empirical mode decomposition

Parallel efficient global optimization method: A novel approach for time-dependent reliability analysis and applications

Content-based group recommender systems: A general taxonomy and further improvements

A knowledge-based differential covariance matrix adaptation cooperative algorithm

IoT-based hybrid optimized fuzzy threshold ELM model for localization of elderly persons

An efficient method to determine sample size in oversampling based on classification complexity for imbalanced data

A link2vec-based fake news detection model using web search results

Knowledge-based approach for dimensionality reduction solving repetitive combinatorial optimization problems

Eigenvector-based centralities for multilayer temporal networks under the framework of tensor computation

A minority oversampling approach for fault detection with heterogeneous imbalanced data

Opposition-based moth swarm algorithm

Writer Identification using Deep Learning with FAST Keypoints and Harris corner detector

Bi-level programming model and KKT penalty function solution approach for reliable hub location problem

A static semi-kitting strategy system of JIT material distribution scheduling for mixed-flow assembly lines

Fault simulations and diagnostics for a Boeing 747 Auxiliary Power Unit

A novel hybrid differential evolution and symbiotic organisms search algorithm for size and shape optimization of truss structures under multiple frequency constraints

Visual enhanced gLSTM for image captioning

Predicting Ethereum prices with machine learning based on Blockchain information

A deep learning-based time series model with missing value handling techniques to predict various types of liquid cargo traffic

Bengali text document categorization based on very deep convolution neural network

Real-time human pose estimation on a smart walker using convolutional neural networks

Evaluation of online emoji description resources for sentiment analysis purposes

An automatic retinal vessel segmentation approach based on Convolutional Neural Networks

Using deep learning neural networks to predict the knowledge economy index for developing and emerging economies

SkillNER: Mining and mapping soft skills from any text

Multimodal sentiment and emotion recognition in hyperbolic space

DeepYield: A combined convolutional neural network with long short-term memory for crop yield forecasting

A cluster-based approach to predict serious adverse events in surgery

Kinematic adaptive frequency sampling combined spatio temporal features for snow monitoring in aerospace applications

AMFB: Attention based multimodal Factorized Bilinear Pooling for multimodal Fake News Detection

Creating navigation map in semi-open scenarios for intelligent vehicle localization using multi-sensor fusion

Optimization of selective withdrawal systems in hydropower reservoir considering water quality and quantity aspects

Supporting digital content marketing and messaging through topic modelling and decision trees

Motivation detection using EEG signal analysis by residual-in-residual convolutional neural network

On the relevance of the metadata used in the semantic segmentation of indoor image spaces

Solving in real-time the dynamic and stochastic shortest path problem for electric vehicles by a prognostic decision making strategy

Sarcasm Detection using Cognitive Features of Visual Data by Learning Model

Acoustic recognition of noise-like environmental sounds by using artificial neural network

F-RRT*: An improved path planning algorithm with improved initial solution and convergence rate

An integrated decision-making approach for sustainable supplier selection in the chemical industry

Incremental learning using generative-rehearsal strategy for fault detection and classification

Adaptive MLP neural network controller for consensus tracking of Multi-Agent systems with application to synchronous generators

Interval–valued fuzzy and intuitionistic fuzzy–KNN for imbalanced data classification

Deep triplet residual quantization

A new data filling approach based on probability analysis in incomplete soft sets

Gaussian process regression-based learning rate optimization in convolutional neural networks for medical images classification

Multimodal video-text matching using a deep bifurcation network and joint embedding of visual and textual features

Advanced AI-based techniques to predict daily energy consumption: A case study

Chaos and intensification enhanced flower pollination algorithm to solve mechanical design and unconstrained function optimization problems

Short-term prediction of fishing effort distributions by discovering fishing chronology among trawlers based on VMS dataset

A hybrid feedforward neural network algorithm for detecting outliers in non-stationary multivariate time series

An iterated greedy algorithm for the parallel blocking flow shop scheduling problem and sequence-dependent setup times

On the use of summarization and transformer architectures for profiling résumés

The impact of word sense disambiguation on stock price prediction

BIRCHSCAN: A sampling method for applying DBSCAN to large datasets

Artificial neural networks for classifying the time series sensor data generated by medical detection dogs

Big data analytics and machine learning: A retrospective overview and bibliometric analysis

Triple band-notched UWB antenna design using a novel hybrid optimization technique based on DE and NMR algorithms

A Nash bargaining solution for a multi period competitive portfolio optimization problem: Co-evolutionary approach

Knowledge-driven fuzzy consensus model for team formation

A possibilistic fuzzy Gath-Geva clustering algorithm using the exponential distance

Detection of tuberculosis from chest X-ray images: Boosting the performance with vision transformer and transfer learning

An improved ensemble learning method for exchange rate forecasting based on complementary effect of shallow and deep features

Selection of projects for automotive assembly structures using a hybrid method composed of the group-input compatible, best-worst method for criteria weighting and TrBF-TOPSIS

Automatic stimuli classification from ERP data for augmented communication via Brain–Computer Interfaces

TripMD: Driving patterns investigation via motif analysis

Assessment of a failure prediction model in the European energy sector: A multicriteria discrimination approach with a PROMETHEE based classification

Coarse-refinement dilemma: On generalization bounds for data clustering

Using enhanced crow search algorithm optimization-extreme learning machine model to forecast short-term wind power

Person-dependent seizure detection using statistical CUSUM detector: Preliminary results

Applications of deep learning in stock market prediction: Recent progress

Expert decision-making: A Markovian approach to studying the agency problem

A deep neural network approach to QRS detection using autoencoders

Prediction error distribution with dynamic asymmetry for reversible data hiding

Object oriented time series exploration: Applied to power consumption analysis of embedded systems

Towards zero-shot cross-lingual named entity disambiguation

A novel hesitant-fuzzy-based group decision approach for outsourcing risk

Efficient algorithms for decision making and coverage deployment of connected multi-low-altitude platforms