Expert Systems With Applications

Papers
(The TQCC of Expert Systems With Applications is 15. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer850
Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts764
RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method669
An improved grey wolf optimizer for solving engineering problems611
Self-driving cars: A survey540
Deep learning approaches for COVID-19 detection based on chest X-ray images514
A review of fuzzy AHP methods for decision-making with subjective judgements491
INFO: An efficient optimization algorithm based on weighted mean of vectors473
Graph neural network for traffic forecasting: A survey412
A review of deep learning methods for semantic segmentation of remote sensing imagery386
Automatic text summarization: A comprehensive survey371
Golden jackal optimization: A novel nature-inspired optimizer for engineering applications367
Machine learning and data mining in manufacturing361
Applications of deep learning in stock market prediction: Recent progress300
A survey and performance evaluation of deep learning methods for small object detection287
Chameleon Swarm Algorithm: A bio-inspired optimizer for solving engineering design problems266
Red fox optimization algorithm261
Heap-based optimizer inspired by corporate rank hierarchy for global optimization260
A new optimization method based on COOT bird natural life model254
Machine Learning for industrial applications: A comprehensive literature review250
Multi-hour and multi-site air quality index forecasting in Beijing using CNN, LSTM, CNN-LSTM, and spatiotemporal clustering248
Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review232
Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review224
Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time222
Sign Language Recognition: A Deep Survey216
Remora optimization algorithm214
Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensemble207
Effects of the entropy weight on TOPSIS203
A bidirectional LSTM deep learning approach for intrusion detection193
Machine learning techniques and data for stock market forecasting: A literature review186
Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review183
Stock price prediction using deep learning and frequency decomposition181
Applications and Research avenues for drone-based models in logistics: A classification and review179
Fuzzy C-Means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers: Review and development178
Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions175
A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction169
MOSOA: A new multi-objective seagull optimization algorithm168
A k-NN method for lung cancer prognosis with the use of a genetic algorithm for feature selection161
Rice diseases detection and classification using attention based neural network and bayesian optimization161
Explaining anomalies detected by autoencoders using Shapley Additive Explanations157
A novel Black Widow Optimization algorithm for multilevel thresholding image segmentation156
Wearable payment: A deep learning-based dual-stage SEM-ANN analysis152
Dynamic Salp swarm algorithm for feature selection150
An ensemble discrete differential evolution for the distributed blocking flowshop scheduling with minimizing makespan criterion149
Gold volatility prediction using a CNN-LSTM approach145
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks144
Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances142
Monarch butterfly optimization: A comprehensive review141
Portfolio optimization with return prediction using deep learning and machine learning138
Fusion of U-Net and CNN model for segmentation and classification of skin lesion from dermoscopy images138
Fruit detection and positioning technology for a Camellia oleifera C. Abel orchard based on improved YOLOv4-tiny model and binocular stereo vision138
Feature Selection for Classification using Principal Component Analysis and Information Gain138
An efficient hybrid sine-cosine Harris hawks optimization for low and high-dimensional feature selection136
Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process135
Identification of rice plant diseases using lightweight attention networks133
Search and rescue optimization algorithm: A new optimization method for solving constrained engineering optimization problems133
Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning132
A feature selection algorithm of decision tree based on feature weight131
Using VADER sentiment and SVM for predicting customer response sentiment131
Ant colony optimization with horizontal and vertical crossover search: Fundamental visions for multi-threshold image segmentation130
An efficient convolutional neural network for coronary heart disease prediction129
Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives127
Fermatean fuzzy Einstein aggregation operators-based MULTIMOORA method for electric vehicle charging station selection127
A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients125
Assessing determinants influencing continued use of live streaming services: An extended perceived value theory of streaming addiction125
A hybrid fine-tuned VMD and CNN scheme for untrained compound fault diagnosis of rotating machinery with unequal-severity faults124
Lichtenberg algorithm: A novel hybrid physics-based meta-heuristic for global optimization124
Multiple-criteria decision-making sorting methods: A survey124
A benchmark of machine learning approaches for credit score prediction124
A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM123
Detection of DDoS attacks with feed forward based deep neural network model122
A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions122
Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities122
Hybrid slime mould algorithm with adaptive guided differential evolution algorithm for combinatorial and global optimization problems121
A novel pixel-split image encryption scheme based on 2D Salomon map121
Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review121
Attention based CNN model for fire detection and localization in real-world images119
An improved quantum-inspired cooperative co-evolution algorithm with muli-strategy and its application119
Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting119
Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning118
Improving classification accuracy using data augmentation on small data sets118
Nested cross-validation when selecting classifiers is overzealous for most practical applications117
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 technologies116
Trajectory planning for multi-robot systems: Methods and applications116
Linguistic feature based learning model for fake news detection and classification116
A whale optimization algorithm with chaos mechanism based on quasi-opposition for global optimization problems116
Tourism recommendation system based on semantic clustering and sentiment analysis112
A two-layer feature selection method using Genetic Algorithm and Elastic Net111
Two-sided matching decision making with multi-granular hesitant fuzzy linguistic term sets and incomplete criteria weight information111
MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach111
Remote sensing image super-resolution and object detection: Benchmark and state of the art110
A hybrid recommender system for recommending relevant movies using an expert system110
Fake news detection in multiple platforms and languages109
An improved Jaya optimization algorithm with Lévy flight109
A blockchain-based system to enhance aircraft parts traceability and trackability for inventory management108
Comparison of metaheuristic optimization algorithms for solving constrained mechanical design optimization problems108
Shapley-Lorenz eXplainable Artificial Intelligence108
A multi-head attention-based transformer model for traffic flow forecasting with a comparative analysis to recurrent neural networks107
DeepShip: An underwater acoustic benchmark dataset and a separable convolution based autoencoder for classification107
A novel version of Cuckoo search algorithm for solving optimization problems106
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals106
Development and application of slime mould algorithm for optimal economic emission dispatch105
Involvement of controllable lead time and variable demand for a smart manufacturing system under a supply chain management105
Adversarial machine learning in Network Intrusion Detection Systems105
Third-party reverse logistics provider selection: A computational semantic analysis-based multi-perspective multi-attribute decision-making approach105
Structural similarity index (SSIM) revisited: A data-driven approach104
A new topic modeling based approach for aspect extraction in aspect based sentiment analysis: SS-LDA104
Hierarchical DEMATEL method for complex systems103
Ultrasonic guided wave based structural damage detection and localization using model assisted convolutional and recurrent neural networks103
Supplier selection in sustainable supply chains: Using the integrated BWM, fuzzy Shannon entropy, and fuzzy MULTIMOORA methods102
An efficient multilevel thresholding segmentation method for thermography breast cancer imaging based on improved chimp optimization algorithm101
A survey of state-of-the-art on visual SLAM101
Path planning techniques for mobile robots: Review and prospect101
CS-ResNet: Cost-sensitive residual convolutional neural network for PCB cosmetic defect detection100
An efficient ECG arrhythmia classification method based on Manta ray foraging optimization100
DENS-ECG: A deep learning approach for ECG signal delineation99
Vision-based hand gesture recognition using deep learning for the interpretation of sign language99
A hybrid recommendation system with many-objective evolutionary algorithm99
Pythagorean fuzzy DEMATEL method for supplier selection in sustainable supply chain management99
Evaluating the feasibility of blockchain in logistics operations: A decision framework98
A hybrid method with dynamic weighted entropy for handling the problem of class imbalance with overlap in credit card fraud detection97
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 algorithms97
Real-time classification for autonomous drowsiness detection using eye aspect ratio97
An efficient deep Convolutional Neural Network based detection and classification of Acute Lymphoblastic Leukemia97
A Pareto-based hybrid iterated greedy algorithm for energy-efficient scheduling of distributed hybrid flowshop97
An application of deep reinforcement learning to algorithmic trading96
A taxonomy of blockchain consensus protocols: A survey and classification framework96
Covid-19 vaccine hesitancy: Text mining, sentiment analysis and machine learning on COVID-19 vaccination Twitter dataset96
Driver stress detection via multimodal fusion using attention-based CNN-LSTM95
Snow ablation optimizer: A novel metaheuristic technique for numerical optimization and engineering design94
DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition94
Enhanced multi-verse optimizer for task scheduling in cloud computing environments93
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 review92
Cov-Net: A computer-aided diagnosis method for recognizing COVID-19 from chest X-ray images via machine vision92
A sustainable flexible manufacturing–remanufacturing model with improved service and green investment under variable demand91
Data-driven early fault diagnostic methodology of permanent magnet synchronous motor91
Stock market index prediction using deep Transformer model91
Rumor detection based on propagation graph neural network with attention mechanism90
Opposition-based learning Harris hawks optimization with advanced transition rules: principles and analysis90
Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM90
Deep reinforcement learning based preventive maintenance policy for serial production lines90
A review on social spam detection: Challenges, open issues, and future directions89
Orca predation algorithm: A novel bio-inspired algorithm for global optimization problems89
A state-of-the-art review on mobile robotics tasks using artificial intelligence and visual data88
2D hyperchaotic system based on Schaffer function for image encryption88
An efficient memetic algorithm for distributed flexible job shop scheduling problem with transfers88
A hybrid algorithm based on grey wolf optimizer and differential evolution for UAV path planning88
Optimizing nonlinear charging times of electric vehicle routing with genetic algorithm88
Deep sequence to sequence Bi-LSTM neural networks for day-ahead peak load forecasting87
ERV-Net: An efficient 3D residual neural network for brain tumor segmentation87
Service chatbots: A systematic review87
An interval valued neutrosophic decision-making structure for sustainable supplier selection87
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
Modified adaptive ant colony optimization algorithm and its application for solving path planning of mobile robot86
Dynamic hybrid mechanism-based differential evolution algorithm and its application86
Probabilistic physics-guided machine learning for fatigue data analysis85
A reinforcement learning based RMOEA/D for bi-objective fuzzy flexible job shop scheduling85
Machine learning based methods for software fault prediction: A survey84
Speech emotion recognition using recurrent neural networks with directional self-attention84
Trends in vision-based machine learning techniques for plant disease identification: A systematic review84
Learning path personalization and recommendation methods: A survey of the state-of-the-art84
Multi class SVM algorithm with active learning for network traffic classification84
A survey of research hotspots and frontier trends of recommendation systems from the perspective of knowledge graph83
Generalized MAML for few-shot cross-domain fault diagnosis of bearing driven by heterogeneous signals83
Best-Worst method and Hamacher aggregation operations for intuitionistic 2-tuple linguistic sets83
Zero-shot learning for compound fault diagnosis of bearings83
An improved whale optimization algorithm based on multi-population evolution for global optimization and engineering design problems83
Tri-level attribute reduction in rough set theory83
American sign language recognition and training method with recurrent neural network83
Neural network modeling of consumer satisfaction in mobile commerce: An empirical analysis83
A knowledge-based risk management tool for construction projects using case-based reasoning82
Interpretable vs. noninterpretable machine learning models for data-driven hydro-climatological process modeling81
Deep belief network based intrusion detection techniques: A survey81
A framework for feature selection through boosting81
A multi-action deep reinforcement learning framework for flexible Job-shop scheduling problem80
DeepSmoke: Deep learning model for smoke detection and segmentation in outdoor environments80
DMDE: Diversity-maintained multi-trial vector differential evolution algorithm for non-decomposition large-scale global optimization80
A multi-objective optimization framework for a sustainable closed-loop supply chain network in the olive industry: Hybrid meta-heuristic algorithms80
A novel approach based on Grasshopper optimization algorithm for medical image fusion80
Kinematic Constrained Bi-directional RRT with Efficient Branch Pruning for robot path planning79
Interval valued intuitionistic fuzzy AHP-WASPAS based public transportation service quality evaluation by a new extension of SERVQUAL Model: P-SERVQUAL 4.079
Vehicle routing problem with drones considering time windows79
A cost-efficient IoT service placement approach using whale optimization algorithm in fog computing environment79
Exploiting dimensionality reduction and neural network techniques for the development of expert brain–computer interfaces79
Intuitionistic fuzzy geometric aggregation operators in the framework of Aczel-Alsina triangular norms and their application to multiple attribute decision making78
Comparing pre-trained language models for Spanish hate speech detection78
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 machines78
A novel multi-objective forest optimization algorithm for wrapper feature selection78
Medical image fusion based on convolutional neural networks and non-subsampled contourlet transform78
Recovery solutions for ecotourism centers during the Covid-19 pandemic: Utilizing Fuzzy DEMATEL and Fuzzy VIKOR methods77
Speaker identification through artificial intelligence techniques: A comprehensive review and research challenges77
DeepYield: A combined convolutional neural network with long short-term memory for crop yield forecasting77
Learning style detection in E-learning systems using machine learning techniques77
An effective multi-start iterated greedy algorithm to minimize makespan for the distributed permutation flowshop scheduling problem with preventive maintenance77
COVID-19: Automatic detection from X-ray images by utilizing deep learning methods76
Forecasting daily stock trend using multi-filter feature selection and deep learning76
Dual-IDS: A bagging-based gradient boosting decision tree model for network anomaly intrusion detection system76
Corporate default forecasting with machine learning76
Data augmentation for skin lesion using self-attention based progressive generative adversarial network76
Wind turbine fault diagnosis based on ReliefF-PCA and DNN75
Condition Monitoring using Machine Learning: A Review of Theory, Applications, and Recent Advances75
An efficient slime mould algorithm for solving multi-objective optimization problems75
Hybrid Intrusion Detection using MapReduce based Black Widow Optimized Convolutional Long Short-Term Memory Neural Networks75
A hybrid approach of adaptive wavelet transform, long short-term memory and ARIMA-GARCH family models for the stock index prediction74
Gene selection and classification of microarray data method based on mutual information and moth flame algorithm.74
Locally robust EEG feature selection for individual-independent emotion recognition74
Efficient multi-objective meta-heuristic algorithms for energy-aware non-permutation flow-shop scheduling problem74
SAITS: Self-attention-based imputation for time series74
Interval-valued Fermatean fuzzy Dombi aggregation operators and SWARA based PROMETHEE II method to bio-medical waste management73
DeepThin: A novel lightweight CNN architecture for traffic sign recognition without GPU requirements73
An effective discrete artificial bee colony algorithm for multi-AGVs dispatching problem in a matrix manufacturing workshop73
Non-intrusive load disaggregation based on composite deep long short-term memory network73
Electric vehicle routing problem with non-linear charging and load-dependent discharging73
Picture fuzzy extension of the CODAS method for multi-criteria vehicle shredding facility location72
Search and rescue operation using UAVs: A case study72
A novel filter feature selection method using rough set for short text data72
Stock market forecasting with super-high dimensional time-series data using ConvLSTM, trend sampling, and specialized data augmentation72
Identifying vital nodes from local and global perspectives in complex networks72
Machine learning in the quantum realm: The state-of-the-art, challenges, and future vision71
Transformer-based attention network for stock movement prediction71
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 selection71
Enhancing credit scoring with alternative data70
Tracing knowledge diffusion of TOPSIS: A historical perspective from citation network70
Construction of health indicators for condition monitoring of rotating machinery: A review of the research70
Feature selection using Binary Crow Search Algorithm with time varying flight length70
Hybrid filter-wrapper feature selection using whale optimization algorithm: A multi-objective approach70
Waiting strategy for the vehicle routing problem with simultaneous pickup and delivery using genetic algorithm69
An extended multi-criteria group decision-making method with psychological factors and bidirectional influence relation for emergency medical supplier selection69
Group risk assessment in failure mode and effects analysis using a hybrid probabilistic hesitant fuzzy linguistic MCDM method69
Augmented Reality and Artificial Intelligence in industry: Trends, tools, and future challenges69
Personalized individual semantics based consensus reaching process for large-scale group decision making with probabilistic linguistic preference relations and application to COVID-19 surveillance68
Reinforcement learning algorithms: A brief survey68
M-AdaBoost-A based ensemble system for network intrusion detection68
A Gaussian process regression approach to predict the k-barrier coverage probability for intrusion detection in wireless sensor networks68
A novel extreme learning machine based kNN classification method for dealing with big data68
Auto loan fraud detection using dominance-based rough set approach versus machine learning methods68
Digraph and matrix approach for risk evaluations under Pythagorean fuzzy information68
Generative Adversarial Networks and Markov Random Fields for oversampling very small training sets67
Stacked auto-encoder based tagging with deep features for content-based medical image retrieval67
An automatic arrhythmia classification model based on improved Marine Predators Algorithm and Convolutions Neural Networks67
Imbalanced bearing fault diagnosis under variant working conditions using cost-sensitive deep domain adaptation network67
Sustainable supply chain network design problem: Using the integrated BWM, TOPSIS, possibilistic programming, and ε-constrained methods67
Advancement of the search process of salp swarm algorithm for global optimization problems67
Dynamic behavior based churn prediction in mobile telecom67
Hand gesture recognition via enhanced densely connected convolutional neural network66
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