0957-4174

Expert Systems with Applications （ESWA） - Volume 183 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 183
发布时间： 30 November 2021
卷期年份： 2021
卷期官网： https://www.sciencedirect.com/journal/expert-systems-with-applications/vol/183/suppl/C
本期论文列表
Editorial Board

Mexican sign language segmentation using color based neuronal networks to detect the individual skin color

Detection and tracking of the trajectories of dynamic UAVs in restricted and cluttered environment

A neighborhood information utilization fireworks algorithm and its application to traffic flow prediction

DeepShip: An underwater acoustic benchmark dataset and a separable convolution based autoencoder for classification

A cultural heritage framework using a Deep Learning based Chatbot for supporting tourist journey

A modified Marine Predator Algorithm based on opposition based learning for tracking the global MPP of shaded PV system

Multi-criteria decision analysis for non-conformance diagnosis: A priority-based strategy combining data and business rules

Process-extraction-based text similarity measure for emergency response plans

Neural network with fixed noise for index-tracking portfolio optimization

A novel self-learning feature selection approach based on feature attributions

A novel extreme learning machine based kNN classification method for dealing with big data

Kernel-based framework to estimate deformations of pneumothorax lung using relative position of anatomical landmarks

Probabilistic modeling approach for interpretable inference and prediction with data for sepsis diagnosis

Solving traveling salesman problem using hybridization of rider optimization and spotted hyena optimization algorithm

An efficient deep Convolutional Neural Network based detection and classification of Acute Lymphoblastic Leukemia

Extended computational formulations for tolerance-based sensitivity analysis of uncertain transportation networks

Deep-learning-based recognition of symbols and texts at an industrially applicable level from images of high-density piping and instrumentation diagrams

A hierarchical guidance strategy assisted fruit fly optimization algorithm with cooperative learning mechanism

G-SOMO: An oversampling approach based on self-organized maps and geometric SMOTE

A multi-stage data mining approach for liquid bulk cargo volume analysis based on bill of lading data

Multi-objective distributed reentrant permutation flow shop scheduling with sequence-dependent setup time

Learning deep relevance couplings for ad-hoc document retrieval

DSANet: Dilated spatial attention for real-time semantic segmentation in urban street scenes

Semi-supervised anomaly detection for visual quality inspection

A new optimization method based on COOT bird natural life model

Bhattacharyya distance based concept drift detection method for evolving data stream

Limitation and optimization of inputs and outputs in the inverse data envelopment analysis under variable returns to scale

Towards asymmetric uncertainty modeling in designing General Type-2 Fuzzy classifiers for medical diagnosis

Fuzzy Inference System Tree with Particle Swarm Optimization and Genetic Algorithm: A novel approach for PM10 forecasting

Hybrid filter-wrapper feature selection using whale optimization algorithm: A multi-objective approach

An interval valued neutrosophic decision-making structure for sustainable supplier selection

A web-based decision support system for examination timetabling

Improving recommender systems via a Dual Training Error based Correction approach

A group decision making method to manage internal and external experts with an application to anti-lung cancer drug selection

Multi-view content-context information bottleneck for image clustering

Modified multi-objective evolutionary programming algorithm for solving project scheduling problems

PLDLS: A novel parallel label diffusion and label Selection-based community detection algorithm based on Spark in social networks

Evaluation of software development projects based on integrated Pythagorean fuzzy methodology

Detecting conflicts in collaborative learning through the valence change of atomic interactions

A preliminary analysis of AI based smartphone application for diagnosis of COVID-19 using chest X-ray images

Deterministic Multi-kernel based extreme learning machine for pattern classification

Social media-based opinion retrieval for product analysis using multi-task deep neural networks

Novel correlation coefficient between hesitant fuzzy sets with application to medical diagnosis

Group recommender system based on genre preference focusing on reducing the clustering cost

Developing an ANN-based early warning model for airborne particulate matters in river banks areas

Vehicle classification using a real-time convolutional structure based on DWT pooling layer and SE blocks

A Software Defined Network information security risk assessment based on Pythagorean fuzzy sets

Analyzing bank “black boxes”: A two-stage Nerlovian profit inefficiency model

Car crash detection using ensemble deep learning and multimodal data from dashboard cameras

Application of small sample virtual expansion and spherical mapping model in wind turbine fault diagnosis

Dynamic group optimization algorithm with a mean–variance search framework

Time series classification via topological data analysis

An uncertainty-induced axiomatic foundation of the analytic hierarchy process and its implication

Combining max-pooling and wavelet pooling strategies for semantic image segmentation

Modelling and solving profit-oriented U-shaped partial disassembly line balancing problem

Share price prediction of aerospace relevant companies with recurrent neural networks based on PCA

Image inpainting network for filling large missing regions using residual gather

Assessment of the handcart pushing and pulling safety by using deep learning 3D pose estimation and IoT force sensors

A framework for 3D tracking of frontal dynamic objects in autonomous cars

MORec: At the crossroads of context-aware and multi-criteria decision making for online music recommendation

SLSNet: Skin lesion segmentation using a lightweight generative adversarial network

New benchmark algorithm for hybrid flowshop scheduling with identical machines

TPCNN: Two-path convolutional neural network for tumor and liver segmentation in CT images using a novel encoding approach

A new biologically inspired global optimization algorithm based on firebug reproductive swarming behaviour

Human decision making through an entropic framework

An integrated contract manufacturer selection and product quality optimization methodology for the mechanical manufacturing industry

Learning attention embeddings based on memory networks for neural collaborative recommendation

A feature selection method via analysis of relevance, redundancy, and interaction

Exploring the effects of different Clustering Methods on a News Recommender System

3D segmentation of neuronal nuclei and cell-type identification using multi-channel information

Forecasting cryptocurrency price using convolutional neural networks with weighted and attentive memory channels

Explainable artificial intelligence for manufacturing cost estimation and machining feature visualization

Integrating Elman recurrent neural network with particle swarm optimization algorithms for an improved hybrid training of multidisciplinary datasets

An exact routing optimization model for bio-waste collection in the Brussels Capital Region

Budget optimized dynamic virtual machine provisioning in hybrid cloud using fuzzy analytic hierarchy process

Generalizing state-of-the-art object detectors for autonomous vehicles in unseen environments

A new oversampling method in the string space

CAE-CNN: Predicting transcription factor binding site with convolutional autoencoder and convolutional neural network

Automatic method for classifying COVID-19 patients based on chest X-ray images, using deep features and PSO-optimized XGBoost

TransExplain: Using neural networks to find suitable explanations for Chinese phrases

Automation of software test data generation using genetic algorithm and reinforcement learning

A novel inertia moment estimation algorithm collaborated with Active Force Control scheme for wheeled mobile robot control in constrained environments

Improving stock market volatility forecasts with complete subset linear and quantile HAR models

Big data classification using heterogeneous ensemble classifiers in Apache Spark based on MapReduce paradigm

A system for identifying an anti-counterfeiting pattern based on the statistical difference in key image regions

Multi-obstacle path planning and optimization for mobile robot

Distributed representations of diseases based on co-occurrence relationship

Neural identification of Type 1 Diabetes Mellitus for care and forecasting of risk events

Physics-guided deep neural network to characterize non-Newtonian fluid flow for optimal use of energy resources

A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams

A FMEA based novel intuitionistic fuzzy approach proposal: Intuitionistic fuzzy advance MCDM and mathematical modeling integration

On the pitfalls of learning with limited data: A facial expression recognition case study

Intelligent control of an UAV with a cable-suspended load using a neural network estimator

Comparison of metaheuristic optimization algorithms for solving constrained mechanical design optimization problems

Trading strategy of structured mutual fund based on deep learning network

Privacy preserving rule-based classifier using modified artificial bee colony algorithm

Probability learning based tabu search for the budgeted maximum coverage problem

Prerequisite-aware course ordering towards getting relevant job opportunities

Active cluster annotation for wafer map pattern classification in semiconductor manufacturing