Expert Systems With Applications

Papers
(The median citation count of Expert Systems With Applications is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Marine Predators Algorithm: A nature-inspired metaheuristic1249
Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer704
Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts644
Chimp optimization algorithm621
RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method555
An improved grey wolf optimizer for solving engineering problems495
Deep learning approaches for COVID-19 detection based on chest X-ray images472
Self-driving cars: A survey451
A review of fuzzy AHP methods for decision-making with subjective judgements409
INFO: An efficient optimization algorithm based on weighted mean of vectors362
Automatic text summarization: A comprehensive survey301
Machine learning and data mining in manufacturing292
A review of deep learning methods for semantic segmentation of remote sensing imagery285
Graph neural network for traffic forecasting: A survey277
Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection251
Applications of deep learning in stock market prediction: Recent progress236
Golden jackal optimization: A novel nature-inspired optimizer for engineering applications234
A survey and performance evaluation of deep learning methods for small object detection230
A survey of blockchain consensus algorithms performance evaluation criteria225
Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities225
Heap-based optimizer inspired by corporate rank hierarchy for global optimization224
A feature selection algorithm for intrusion detection system based on Pigeon Inspired Optimizer215
Red fox optimization algorithm213
A new optimization method based on COOT bird natural life model207
Chameleon Swarm Algorithm: A bio-inspired optimizer for solving engineering design problems201
Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review197
DSTP-RNN: A dual-stage two-phase attention-based recurrent neural network for long-term and multivariate time series prediction195
Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review195
Multi-hour and multi-site air quality index forecasting in Beijing using CNN, LSTM, CNN-LSTM, and spatiotemporal clustering194
Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensemble192
Machine Learning for industrial applications: A comprehensive literature review187
Selective Opposition based Grey Wolf Optimization175
Driver behavior detection and classification using deep convolutional neural networks173
Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time171
Sign Language Recognition: A Deep Survey166
Remora optimization algorithm165
Effects of the entropy weight on TOPSIS158
An efficient henry gas solubility optimization for feature selection152
Resolving data sparsity and cold start problem in collaborative filtering recommender system using Linked Open Data152
MOSOA: A new multi-objective seagull optimization algorithm152
Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review151
Stock price prediction using deep learning and frequency decomposition145
Boosting salp swarm algorithm by sine cosine algorithm and disrupt operator for feature selection145
Fuzzy C-Means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers: Review and development145
An ensemble discrete differential evolution for the distributed blocking flowshop scheduling with minimizing makespan criterion143
Group teaching optimization algorithm: A novel metaheuristic method for solving global optimization problems142
Applications and Research avenues for drone-based models in logistics: A classification and review142
Stock market movement forecast: A Systematic review141
A comprehensive survey on the biometric recognition systems based on physiological and behavioral modalities140
Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait138
A k-NN method for lung cancer prognosis with the use of a genetic algorithm for feature selection137
A novel Black Widow Optimization algorithm for multilevel thresholding image segmentation137
A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction134
Monarch butterfly optimization: A comprehensive review133
Dynamic Salp swarm algorithm for feature selection132
A bidirectional LSTM deep learning approach for intrusion detection131
An efficient Harris hawks-inspired image segmentation method130
Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions129
An AHP-based multi-criteria model for sustainable supply chain development in the renewable energy sector128
Wearable payment: A deep learning-based dual-stage SEM-ANN analysis128
An efficient double adaptive random spare reinforced whale optimization algorithm128
Machine learning techniques and data for stock market forecasting: A literature review127
Detection of illicit accounts over the Ethereum blockchain126
Intelligent personal assistants: A systematic literature review123
Rice diseases detection and classification using attention based neural network and bayesian optimization122
Gold volatility prediction using a CNN-LSTM approach119
A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients116
An efficient hybrid sine-cosine Harris hawks optimization for low and high-dimensional feature selection116
ReDMark: Framework for residual diffusion watermarking based on deep networks115
Ant colony optimization with horizontal and vertical crossover search: Fundamental visions for multi-threshold image segmentation114
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks114
Feature Selection for Classification using Principal Component Analysis and Information Gain113
Search and rescue optimization algorithm: A new optimization method for solving constrained engineering optimization problems113
Fruit detection and positioning technology for a Camellia oleifera C. Abel orchard based on improved YOLOv4-tiny model and binocular stereo vision112
PQ-RRT*: An improved path planning algorithm for mobile robots112
A hybrid fine-tuned VMD and CNN scheme for untrained compound fault diagnosis of rotating machinery with unequal-severity faults110
Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process110
An efficient convolutional neural network for coronary heart disease prediction109
A feature selection algorithm of decision tree based on feature weight109
An improved quantum-inspired cooperative co-evolution algorithm with muli-strategy and its application107
Using VADER sentiment and SVM for predicting customer response sentiment107
Hybrid slime mould algorithm with adaptive guided differential evolution algorithm for combinatorial and global optimization problems106
Lichtenberg algorithm: A novel hybrid physics-based meta-heuristic for global optimization106
Explaining anomalies detected by autoencoders using Shapley Additive Explanations106
Improving classification accuracy using data augmentation on small data sets105
A benchmark of machine learning approaches for credit score prediction105
Yin-Yang firefly algorithm based on dimensionally Cauchy mutation104
Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review104
A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM104
Identification of rice plant diseases using lightweight attention networks104
Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection104
Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting103
An Automatic Nucleus Segmentation and CNN Model based Classification Method of White Blood Cell103
Two-sided matching decision making with multi-granular hesitant fuzzy linguistic term sets and incomplete criteria weight information102
Motor imagery EEG recognition based on conditional optimization empirical mode decomposition and multi-scale convolutional neural network102
Portfolio optimization with return prediction using deep learning and machine learning102
Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm102
A hybrid recommender system for recommending relevant movies using an expert system101
MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach100
Assessing determinants influencing continued use of live streaming services: An extended perceived value theory of streaming addiction99
Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning99
Fermatean fuzzy Einstein aggregation operators-based MULTIMOORA method for electric vehicle charging station selection99
A two-layer feature selection method using Genetic Algorithm and Elastic Net98
A whale optimization algorithm with chaos mechanism based on quasi-opposition for global optimization problems97
Portfolio formation with preselection using deep learning from long-term financial data96
Third-party reverse logistics provider selection: A computational semantic analysis-based multi-perspective multi-attribute decision-making approach96
A novel version of Cuckoo search algorithm for solving optimization problems96
Fusion of U-Net and CNN model for segmentation and classification of skin lesion from dermoscopy images95
Aspect-based sentiment analysis using adaptive aspect-based lexicons95
A modified Sine Cosine Algorithm with novel transition parameter and mutation operator for global optimization95
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals95
An improved firefly algorithm for global continuous optimization problems95
Multiple-criteria decision-making sorting methods: A survey95
A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions95
Linguistic feature based learning model for fake news detection and classification94
Development and application of slime mould algorithm for optimal economic emission dispatch94
An improved Jaya optimization algorithm with Lévy flight93
Detection of DDoS attacks with feed forward based deep neural network model92
Fake news detection in multiple platforms and languages92
Attention based CNN model for fire detection and localization in real-world images91
Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators90
A blockchain-based system to enhance aircraft parts traceability and trackability for inventory management90
Comparison of metaheuristic optimization algorithms for solving constrained mechanical design optimization problems90
Shapley-Lorenz eXplainable Artificial Intelligence90
Evaluating the feasibility of blockchain in logistics operations: A decision framework89
An explainable AI decision-support-system to automate loan underwriting88
Eye tracking algorithms, techniques, tools, and applications with an emphasis on machine learning and Internet of Things technologies88
An aggregative learning gravitational search algorithm with self-adaptive gravitational constants87
A modified particle swarm optimization using adaptive strategy87
Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives87
Advanced orthogonal learning-driven multi-swarm sine cosine optimization: Framework and case studies87
Word2vec-based latent semantic analysis (W2V-LSA) for topic modeling: A study on blockchain technology trend analysis87
An efficient ECG arrhythmia classification method based on Manta ray foraging optimization87
Ultrasonic guided wave based structural damage detection and localization using model assisted convolutional and recurrent neural networks87
Involvement of controllable lead time and variable demand for a smart manufacturing system under a supply chain management87
Hand sign language recognition using multi-view hand skeleton86
Nested cross-validation when selecting classifiers is overzealous for most practical applications85
A new topic modeling based approach for aspect extraction in aspect based sentiment analysis: SS-LDA85
Detection of tuberculosis from chest X-ray images: Boosting the performance with vision transformer and transfer learning85
Enhanced deep learning algorithm development to detect pain intensity from facial expression images85
Tourism recommendation system based on semantic clustering and sentiment analysis85
A hybrid recommendation system with many-objective evolutionary algorithm85
Opposition-based learning Harris hawks optimization with advanced transition rules: principles and analysis85
An efficient multilevel thresholding segmentation method for thermography breast cancer imaging based on improved chimp optimization algorithm84
Data-driven early fault diagnostic methodology of permanent magnet synchronous motor84
Research trends in text mining: Semantic network and main path analysis of selected journals84
Supplier selection in sustainable supply chains: Using the integrated BWM, fuzzy Shannon entropy, and fuzzy MULTIMOORA methods84
Rumor detection based on propagation graph neural network with attention mechanism84
A novel wrapper feature selection algorithm based on iterated greedy metaheuristic for sentiment classification84
Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances84
DENS-ECG: A deep learning approach for ECG signal delineation83
Euclidean distance based feature ranking and subset selection for bearing fault diagnosis83
Trajectory planning for multi-robot systems: Methods and applications83
DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition82
Deep reinforcement learning based preventive maintenance policy for serial production lines82
Pythagorean fuzzy DEMATEL method for supplier selection in sustainable supply chain management82
Developing a deep learning framework with two-stage feature selection for multivariate financial time series forecasting82
A taxonomy of blockchain consensus protocols: A survey and classification framework81
An improved quantum particle swarm optimization algorithm for environmental economic dispatch81
Fake news detection using an ensemble learning model based on Self-Adaptive Harmony Search algorithms81
Real-time classification for autonomous drowsiness detection using eye aspect ratio80
Cov-Net: A computer-aided diagnosis method for recognizing COVID-19 from chest X-ray images via machine vision80
CS-ResNet: Cost-sensitive residual convolutional neural network for PCB cosmetic defect detection80
Hierarchical DEMATEL method for complex systems79
An efficient deep Convolutional Neural Network based detection and classification of Acute Lymphoblastic Leukemia79
Vision-based hand gesture recognition using deep learning for the interpretation of sign language78
Best-Worst method and Hamacher aggregation operations for intuitionistic 2-tuple linguistic sets78
Classification of brain MRI using hyper column technique with convolutional neural network and feature selection method77
DeepShip: An underwater acoustic benchmark dataset and a separable convolution based autoencoder for classification77
ERV-Net: An efficient 3D residual neural network for brain tumor segmentation77
BPDET: An effective software bug prediction model using deep representation and ensemble learning techniques76
Novel distance measures for intuitionistic fuzzy sets based on various triangle centers of isosceles triangular fuzzy numbers and their applications75
Predicting online shopping behaviour from clickstream data using deep learning75
Fuzzy optimization model for electric vehicle routing problem with time windows and recharging stations75
Gradient-based grey wolf optimizer with Gaussian walk: Application in modelling and prediction of the COVID-19 pandemic75
Driver stress detection via multimodal fusion using attention-based CNN-LSTM75
Enhanced multi-verse optimizer for task scheduling in cloud computing environments74
Development of an integrated decision making model for location selection of logistics centers in the Spanish autonomous communities74
Machine learning based methods for software fault prediction: A survey74
A sustainable flexible manufacturing–remanufacturing model with improved service and green investment under variable demand74
Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning74
Optimizing nonlinear charging times of electric vehicle routing with genetic algorithm73
Speech emotion recognition using recurrent neural networks with directional self-attention73
An application of deep reinforcement learning to algorithmic trading73
A hybrid method with dynamic weighted entropy for handling the problem of class imbalance with overlap in credit card fraud detection73
Exploiting dimensionality reduction and neural network techniques for the development of expert brain–computer interfaces73
Hybrid enhanced discrete fruit fly optimization algorithm for scheduling blocking flow-shop in distributed environment72
New Chebyshev distance measures for Pythagorean fuzzy sets with applications to multiple criteria decision analysis using an extended ELECTRE approach72
Adversarial machine learning in Network Intrusion Detection Systems72
Structural similarity index (SSIM) revisited: A data-driven approach72
An efficient memetic algorithm for distributed flexible job shop scheduling problem with transfers72
A novel approach based on Grasshopper optimization algorithm for medical image fusion71
Recovery solutions for ecotourism centers during the Covid-19 pandemic: Utilizing Fuzzy DEMATEL and Fuzzy VIKOR methods71
An interval valued neutrosophic decision-making structure for sustainable supplier selection71
Complex features extraction with deep learning model for the detection of COVID19 from CT scan images using ensemble based machine learning approach71
Integrating complex event processing and machine learning: An intelligent architecture for detecting IoT security attacks71
Deep sequence to sequence Bi-LSTM neural networks for day-ahead peak load forecasting71
A multimodal particle swarm optimization-based approach for image segmentation70
Remote sensing image super-resolution and object detection: Benchmark and state of the art70
Orca predation algorithm: A novel bio-inspired algorithm for global optimization problems70
A hybrid energy–Aware virtual machine placement algorithm for cloud environments69
A novel pixel-split image encryption scheme based on 2D Salomon map69
Covid-19 vaccine hesitancy: Text mining, sentiment analysis and machine learning on COVID-19 vaccination Twitter dataset69
A novel filter feature selection method using rough set for short text data69
Text document summarization using word embedding68
Neural network modeling of consumer satisfaction in mobile commerce: An empirical analysis68
A state-of-the-art review on mobile robotics tasks using artificial intelligence and visual data68
Probabilistic physics-guided machine learning for fatigue data analysis68
Learning path personalization and recommendation methods: A survey of the state-of-the-art68
An effective multi-start iterated greedy algorithm to minimize makespan for the distributed permutation flowshop scheduling problem with preventive maintenance68
A framework for feature selection through boosting68
A novel tourism recommender system in the context of social commerce67
A multi-head attention-based transformer model for traffic flow forecasting with a comparative analysis to recurrent neural networks67
Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM67
Financial portfolio optimization with online deep reinforcement learning and restricted stacked autoencoder—DeepBreath67
COVID-19: Automatic detection from X-ray images by utilizing deep learning methods67
Corporate default forecasting with machine learning67
DeepSmoke: Deep learning model for smoke detection and segmentation in outdoor environments66
DMDE: Diversity-maintained multi-trial vector differential evolution algorithm for non-decomposition large-scale global optimization66
Multi class SVM algorithm with active learning for network traffic classification66
Tri-level attribute reduction in rough set theory66
An efficient slime mould algorithm for solving multi-objective optimization problems66
A cost-efficient IoT service placement approach using whale optimization algorithm in fog computing environment66
Interval valued intuitionistic fuzzy AHP-WASPAS based public transportation service quality evaluation by a new extension of SERVQUAL Model: P-SERVQUAL 4.066
A survey of research hotspots and frontier trends of recommendation systems from the perspective of knowledge graph66
A novel multi-objective forest optimization algorithm for wrapper feature selection66
American sign language recognition and training method with recurrent neural network66
A-Stacking and A-Bagging: Adaptive versions of ensemble learning algorithms for spoof fingerprint detection66
Dynamic hybrid mechanism-based differential evolution algorithm and its application66
A multi-objective optimization framework for a sustainable closed-loop supply chain network in the olive industry: Hybrid meta-heuristic algorithms65
Towards automatically filtering fake news in Portuguese65
A multi-population, multi-objective memetic algorithm for energy-efficient job-shop scheduling with deteriorating machines65
A novel decision-making method using R-Norm concept and VIKOR approach under picture fuzzy environment65
A novel MADM technique based on extended power generalized Maclaurin symmetric mean operators under probabilistic dual hesitant fuzzy setting and its application to sustainable suppliers selection65
Kinematic Constrained Bi-directional RRT with Efficient Branch Pruning for robot path planning65
Data augmentation for skin lesion using self-attention based progressive generative adversarial network65
A review on social spam detection: Challenges, open issues, and future directions65
Feature selection using Binary Crow Search Algorithm with time varying flight length65
Service chatbots: A systematic review64
Interpretable vs. noninterpretable machine learning models for data-driven hydro-climatological process modeling64
A knowledge-based risk management tool for construction projects using case-based reasoning64
Sustainable supply chain network design problem: Using the integrated BWM, TOPSIS, possibilistic programming, and ε-constrained methods64
Vehicle routing problem with drones considering time windows64
Non-intrusive load disaggregation based on composite deep long short-term memory network63
Hybrid Intrusion Detection using MapReduce based Black Widow Optimized Convolutional Long Short-Term Memory Neural Networks63
DNNRec: A novel deep learning based hybrid recommender system63
Deep belief network based intrusion detection techniques: A survey63
Comparing pre-trained language models for Spanish hate speech detection63
Waiting strategy for the vehicle routing problem with simultaneous pickup and delivery using genetic algorithm63
Electric vehicle routing problem with non-linear charging and load-dependent discharging62
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