Expert Systems With Applications

Papers
(The TQCC of Expert Systems With Applications is 16. 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 2020-09-01 to 2024-09-01.)
ArticleCitations
Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer835
Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts753
RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method657
An improved grey wolf optimizer for solving engineering problems588
Self-driving cars: A survey532
Deep learning approaches for COVID-19 detection based on chest X-ray images512
A review of fuzzy AHP methods for decision-making with subjective judgements488
INFO: An efficient optimization algorithm based on weighted mean of vectors460
Graph neural network for traffic forecasting: A survey395
A review of deep learning methods for semantic segmentation of remote sensing imagery365
Automatic text summarization: A comprehensive survey360
Machine learning and data mining in manufacturing356
Golden jackal optimization: A novel nature-inspired optimizer for engineering applications341
Applications of deep learning in stock market prediction: Recent progress290
A survey and performance evaluation of deep learning methods for small object detection279
Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities269
Heap-based optimizer inspired by corporate rank hierarchy for global optimization259
A survey of blockchain consensus algorithms performance evaluation criteria259
Red fox optimization algorithm257
Chameleon Swarm Algorithm: A bio-inspired optimizer for solving engineering design problems256
A new optimization method based on COOT bird natural life model249
Multi-hour and multi-site air quality index forecasting in Beijing using CNN, LSTM, CNN-LSTM, and spatiotemporal clustering241
Machine Learning for industrial applications: A comprehensive literature review237
Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review227
Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review223
Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time215
Sign Language Recognition: A Deep Survey212
Remora optimization algorithm210
Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensemble206
Effects of the entropy weight on TOPSIS203
A bidirectional LSTM deep learning approach for intrusion detection184
Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review181
Stock price prediction using deep learning and frequency decomposition177
Machine learning techniques and data for stock market forecasting: A literature review175
Applications and Research avenues for drone-based models in logistics: A classification and review175
Stock market movement forecast: A Systematic review174
Fuzzy C-Means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers: Review and development170
Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions169
MOSOA: A new multi-objective seagull optimization algorithm168
A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction164
A k-NN method for lung cancer prognosis with the use of a genetic algorithm for feature selection157
A novel Black Widow Optimization algorithm for multilevel thresholding image segmentation156
Rice diseases detection and classification using attention based neural network and bayesian optimization156
Wearable payment: A deep learning-based dual-stage SEM-ANN analysis150
An efficient double adaptive random spare reinforced whale optimization algorithm150
Dynamic Salp swarm algorithm for feature selection149
An ensemble discrete differential evolution for the distributed blocking flowshop scheduling with minimizing makespan criterion149
Explaining anomalies detected by autoencoders using Shapley Additive Explanations144
Gold volatility prediction using a CNN-LSTM approach144
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks141
Monarch butterfly optimization: A comprehensive review141
An efficient Harris hawks-inspired image segmentation method139
Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances137
Fruit detection and positioning technology for a Camellia oleifera C. Abel orchard based on improved YOLOv4-tiny model and binocular stereo vision136
Feature Selection for Classification using Principal Component Analysis and Information Gain135
An efficient hybrid sine-cosine Harris hawks optimization for low and high-dimensional feature selection135
Portfolio optimization with return prediction using deep learning and machine learning135
Fusion of U-Net and CNN model for segmentation and classification of skin lesion from dermoscopy images133
Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process133
Search and rescue optimization algorithm: A new optimization method for solving constrained engineering optimization problems132
A feature selection algorithm of decision tree based on feature weight131
Using VADER sentiment and SVM for predicting customer response sentiment131
Identification of rice plant diseases using lightweight attention networks131
Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning128
Ant colony optimization with horizontal and vertical crossover search: Fundamental visions for multi-threshold image segmentation128
An efficient convolutional neural network for coronary heart disease prediction128
Fermatean fuzzy Einstein aggregation operators-based MULTIMOORA method for electric vehicle charging station selection126
Lichtenberg algorithm: A novel hybrid physics-based meta-heuristic for global optimization124
Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives124
A hybrid fine-tuned VMD and CNN scheme for untrained compound fault diagnosis of rotating machinery with unequal-severity faults123
A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients123
Assessing determinants influencing continued use of live streaming services: An extended perceived value theory of streaming addiction123
A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM122
A benchmark of machine learning approaches for credit score prediction122
A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions121
Multiple-criteria decision-making sorting methods: A survey121
Hybrid slime mould algorithm with adaptive guided differential evolution algorithm for combinatorial and global optimization problems120
Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review119
An improved quantum-inspired cooperative co-evolution algorithm with muli-strategy and its application119
Improving classification accuracy using data augmentation on small data sets118
Detection of DDoS attacks with feed forward based deep neural network model118
Attention based CNN model for fire detection and localization in real-world images117
Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting117
Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning116
Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm116
Eye tracking algorithms, techniques, tools, and applications with an emphasis on machine learning and Internet of Things technologies115
A whale optimization algorithm with chaos mechanism based on quasi-opposition for global optimization problems114
Nested cross-validation when selecting classifiers is overzealous for most practical applications113
Linguistic feature based learning model for fake news detection and classification113
Tourism recommendation system based on semantic clustering and sentiment analysis111
MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach111
Two-sided matching decision making with multi-granular hesitant fuzzy linguistic term sets and incomplete criteria weight information110
Trajectory planning for multi-robot systems: Methods and applications110
Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities110
A hybrid recommender system for recommending relevant movies using an expert system110
A novel pixel-split image encryption scheme based on 2D Salomon map110
An improved Jaya optimization algorithm with Lévy flight109
Fake news detection in multiple platforms and languages109
Comparison of metaheuristic optimization algorithms for solving constrained mechanical design optimization problems107
A two-layer feature selection method using Genetic Algorithm and Elastic Net107
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals106
A blockchain-based system to enhance aircraft parts traceability and trackability for inventory management106
Shapley-Lorenz eXplainable Artificial Intelligence105
Third-party reverse logistics provider selection: A computational semantic analysis-based multi-perspective multi-attribute decision-making approach105
A new topic modeling based approach for aspect extraction in aspect based sentiment analysis: SS-LDA104
A novel version of Cuckoo search algorithm for solving optimization problems104
Involvement of controllable lead time and variable demand for a smart manufacturing system under a supply chain management103
DeepShip: An underwater acoustic benchmark dataset and a separable convolution based autoencoder for classification103
Development and application of slime mould algorithm for optimal economic emission dispatch102
A multi-head attention-based transformer model for traffic flow forecasting with a comparative analysis to recurrent neural networks102
Ultrasonic guided wave based structural damage detection and localization using model assisted convolutional and recurrent neural networks102
Hierarchical DEMATEL method for complex systems101
Structural similarity index (SSIM) revisited: A data-driven approach101
Supplier selection in sustainable supply chains: Using the integrated BWM, fuzzy Shannon entropy, and fuzzy MULTIMOORA methods101
Remote sensing image super-resolution and object detection: Benchmark and state of the art101
Adversarial machine learning in Network Intrusion Detection Systems100
An efficient multilevel thresholding segmentation method for thermography breast cancer imaging based on improved chimp optimization algorithm100
A hybrid recommendation system with many-objective evolutionary algorithm99
An efficient ECG arrhythmia classification method based on Manta ray foraging optimization98
A modified Sine Cosine Algorithm with novel transition parameter and mutation operator for global optimization98
DENS-ECG: A deep learning approach for ECG signal delineation98
Vision-based hand gesture recognition using deep learning for the interpretation of sign language97
Real-time classification for autonomous drowsiness detection using eye aspect ratio97
A hybrid method with dynamic weighted entropy for handling the problem of class imbalance with overlap in credit card fraud detection97
Pythagorean fuzzy DEMATEL method for supplier selection in sustainable supply chain management97
Research trends in text mining: Semantic network and main path analysis of selected journals97
Fake news detection using an ensemble learning model based on Self-Adaptive Harmony Search algorithms96
Evaluating the feasibility of blockchain in logistics operations: A decision framework96
A taxonomy of blockchain consensus protocols: A survey and classification framework96
CS-ResNet: Cost-sensitive residual convolutional neural network for PCB cosmetic defect detection96
An application of deep reinforcement learning to algorithmic trading95
An efficient deep Convolutional Neural Network based detection and classification of Acute Lymphoblastic Leukemia95
A Pareto-based hybrid iterated greedy algorithm for energy-efficient scheduling of distributed hybrid flowshop95
DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition94
Euclidean distance based feature ranking and subset selection for bearing fault diagnosis94
A survey of state-of-the-art on visual SLAM94
Covid-19 vaccine hesitancy: Text mining, sentiment analysis and machine learning on COVID-19 vaccination Twitter dataset94
Enhanced multi-verse optimizer for task scheduling in cloud computing environments93
Path planning techniques for mobile robots: Review and prospect93
Detection of tuberculosis from chest X-ray images: Boosting the performance with vision transformer and transfer learning93
Reinforcement learning in urban network traffic signal control: A systematic literature review91
Deep reinforcement learning based preventive maintenance policy for serial production lines90
Cov-Net: A computer-aided diagnosis method for recognizing COVID-19 from chest X-ray images via machine vision90
Driver stress detection via multimodal fusion using attention-based CNN-LSTM90
Data-driven early fault diagnostic methodology of permanent magnet synchronous motor90
Opposition-based learning Harris hawks optimization with advanced transition rules: principles and analysis89
Rumor detection based on propagation graph neural network with attention mechanism89
Orca predation algorithm: A novel bio-inspired algorithm for global optimization problems89
A sustainable flexible manufacturing–remanufacturing model with improved service and green investment under variable demand89
A review on social spam detection: Challenges, open issues, and future directions88
An efficient memetic algorithm for distributed flexible job shop scheduling problem with transfers88
Complex features extraction with deep learning model for the detection of COVID19 from CT scan images using ensemble based machine learning approach87
Gradient-based grey wolf optimizer with Gaussian walk: Application in modelling and prediction of the COVID-19 pandemic87
ERV-Net: An efficient 3D residual neural network for brain tumor segmentation87
Service chatbots: A systematic review86
Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM86
Optimizing nonlinear charging times of electric vehicle routing with genetic algorithm86
Dynamic hybrid mechanism-based differential evolution algorithm and its application85
Probabilistic physics-guided machine learning for fatigue data analysis85
Modified adaptive ant colony optimization algorithm and its application for solving path planning of mobile robot85
Machine learning based methods for software fault prediction: A survey84
An interval valued neutrosophic decision-making structure for sustainable supplier selection84
Multi class SVM algorithm with active learning for network traffic classification84
Tri-level attribute reduction in rough set theory83
Learning path personalization and recommendation methods: A survey of the state-of-the-art83
A survey of research hotspots and frontier trends of recommendation systems from the perspective of knowledge graph83
Financial portfolio optimization with online deep reinforcement learning and restricted stacked autoencoder—DeepBreath83
A state-of-the-art review on mobile robotics tasks using artificial intelligence and visual data83
A reinforcement learning based RMOEA/D for bi-objective fuzzy flexible job shop scheduling83
Speech emotion recognition using recurrent neural networks with directional self-attention82
Stock market index prediction using deep Transformer model82
A knowledge-based risk management tool for construction projects using case-based reasoning82
Best-Worst method and Hamacher aggregation operations for intuitionistic 2-tuple linguistic sets82
Neural network modeling of consumer satisfaction in mobile commerce: An empirical analysis82
An improved whale optimization algorithm based on multi-population evolution for global optimization and engineering design problems81
A hybrid algorithm based on grey wolf optimizer and differential evolution for UAV path planning81
Snow ablation optimizer: A novel metaheuristic technique for numerical optimization and engineering design81
American sign language recognition and training method with recurrent neural network81
Trends in vision-based machine learning techniques for plant disease identification: A systematic review81
A novel approach based on Grasshopper optimization algorithm for medical image fusion80
Generalized MAML for few-shot cross-domain fault diagnosis of bearing driven by heterogeneous signals80
Deep sequence to sequence Bi-LSTM neural networks for day-ahead peak load forecasting80
A multi-objective optimization framework for a sustainable closed-loop supply chain network in the olive industry: Hybrid meta-heuristic algorithms79
Interpretable vs. noninterpretable machine learning models for data-driven hydro-climatological process modeling79
Deep belief network based intrusion detection techniques: A survey79
DeepSmoke: Deep learning model for smoke detection and segmentation in outdoor environments79
A cost-efficient IoT service placement approach using whale optimization algorithm in fog computing environment79
Vehicle routing problem with drones considering time windows79
Zero-shot learning for compound fault diagnosis of bearings79
DMDE: Diversity-maintained multi-trial vector differential evolution algorithm for non-decomposition large-scale global optimization79
A framework for feature selection through boosting79
2D hyperchaotic system based on Schaffer function for image encryption79
Exploiting dimensionality reduction and neural network techniques for the development of expert brain–computer interfaces78
A novel multi-objective forest optimization algorithm for wrapper feature selection78
Interval valued intuitionistic fuzzy AHP-WASPAS based public transportation service quality evaluation by a new extension of SERVQUAL Model: P-SERVQUAL 4.078
Novel distance measures for intuitionistic fuzzy sets based on various triangle centers of isosceles triangular fuzzy numbers and their applications78
A multi-population, multi-objective memetic algorithm for energy-efficient job-shop scheduling with deteriorating machines77
Kinematic Constrained Bi-directional RRT with Efficient Branch Pruning for robot path planning77
Recovery solutions for ecotourism centers during the Covid-19 pandemic: Utilizing Fuzzy DEMATEL and Fuzzy VIKOR methods77
Corporate default forecasting with machine learning76
Learning style detection in E-learning systems using machine learning techniques76
Data augmentation for skin lesion using self-attention based progressive generative adversarial network76
Comparing pre-trained language models for Spanish hate speech detection76
Forecasting daily stock trend using multi-filter feature selection and deep learning76
Medical image fusion based on convolutional neural networks and non-subsampled contourlet transform76
COVID-19: Automatic detection from X-ray images by utilizing deep learning methods75
A multi-action deep reinforcement learning framework for flexible Job-shop scheduling problem75
Speaker identification through artificial intelligence techniques: A comprehensive review and research challenges75
Intuitionistic fuzzy geometric aggregation operators in the framework of Aczel-Alsina triangular norms and their application to multiple attribute decision making75
DeepYield: A combined convolutional neural network with long short-term memory for crop yield forecasting75
An efficient slime mould algorithm for solving multi-objective optimization problems75
An effective multi-start iterated greedy algorithm to minimize makespan for the distributed permutation flowshop scheduling problem with preventive maintenance75
Locally robust EEG feature selection for individual-independent emotion recognition74
A hybrid approach of adaptive wavelet transform, long short-term memory and ARIMA-GARCH family models for the stock index prediction74
Dual-IDS: A bagging-based gradient boosting decision tree model for network anomaly intrusion detection system74
Non-intrusive load disaggregation based on composite deep long short-term memory network73
DeepThin: A novel lightweight CNN architecture for traffic sign recognition without GPU requirements73
Hybrid Intrusion Detection using MapReduce based Black Widow Optimized Convolutional Long Short-Term Memory Neural Networks73
Wind turbine fault diagnosis based on ReliefF-PCA and DNN73
Electric vehicle routing problem with non-linear charging and load-dependent discharging73
Efficient multi-objective meta-heuristic algorithms for energy-aware non-permutation flow-shop scheduling problem72
A novel filter feature selection method using rough set for short text data72
Picture fuzzy extension of the CODAS method for multi-criteria vehicle shredding facility location72
Condition Monitoring using Machine Learning: A Review of Theory, Applications, and Recent Advances72
Gene selection and classification of microarray data method based on mutual information and moth flame algorithm.72
An effective discrete artificial bee colony algorithm for multi-AGVs dispatching problem in a matrix manufacturing workshop71
SAITS: Self-attention-based imputation for time series71
Stock market forecasting with super-high dimensional time-series data using ConvLSTM, trend sampling, and specialized data augmentation70
Feature selection using Binary Crow Search Algorithm with time varying flight length70
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 selection70
Identifying vital nodes from local and global perspectives in complex networks70
Search and rescue operation using UAVs: A case study70
An extended multi-criteria group decision-making method with psychological factors and bidirectional influence relation for emergency medical supplier selection69
Interval-valued Fermatean fuzzy Dombi aggregation operators and SWARA based PROMETHEE II method to bio-medical waste management69
Hybrid filter-wrapper feature selection using whale optimization algorithm: A multi-objective approach69
Group risk assessment in failure mode and effects analysis using a hybrid probabilistic hesitant fuzzy linguistic MCDM method69
A Gaussian process regression approach to predict the k-barrier coverage probability for intrusion detection in wireless sensor networks68
Digraph and matrix approach for risk evaluations under Pythagorean fuzzy information68
Construction of health indicators for condition monitoring of rotating machinery: A review of the research68
Machine learning in the quantum realm: The state-of-the-art, challenges, and future vision68
Waiting strategy for the vehicle routing problem with simultaneous pickup and delivery using genetic algorithm68
Enhancing credit scoring with alternative data68
Tracing knowledge diffusion of TOPSIS: A historical perspective from citation network68
An automatic arrhythmia classification model based on improved Marine Predators Algorithm and Convolutions Neural Networks67
Stacked auto-encoder based tagging with deep features for content-based medical image retrieval67
M-AdaBoost-A based ensemble system for network intrusion detection67
Sustainable supply chain network design problem: Using the integrated BWM, TOPSIS, possibilistic programming, and ε-constrained methods67
Auto loan fraud detection using dominance-based rough set approach versus machine learning methods67
Advancement of the search process of salp swarm algorithm for global optimization problems67
Augmented Reality and Artificial Intelligence in industry: Trends, tools, and future challenges67
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