Applied Soft Computing

(The median citation count of Applied Soft Computing is 7. 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 2020-07-01 to 2024-07-01.)
Investigating the impact of data normalization on classification performance678
A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer418
EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM260
An improved PSO algorithm for smooth path planning of mobile robots using continuous high-degree Bezier curve250
Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media248
Multiple features based approach for automatic fake news detection on social networks using deep learning242
Automated medical diagnosis of COVID-19 through EfficientNet convolutional neural network239
A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization233
CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection231
Deep learning for financial applications : A survey220
Topic detection and sentiment analysis in Twitter content related to COVID-19 from Brazil and the USA206
Differential evolution algorithm with wavelet basis function and optimal mutation strategy for complex optimization problem198
HSMA_WOA: A hybrid novel Slime mould algorithm with whale optimization algorithm for tackling the image segmentation problem of chest X-ray images180
Safety-enhanced UAV path planning with spherical vector-based particle swarm optimization178
The ensemble deep learning model for novel COVID-19 on CT images176
AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system176
InstaCovNet-19: A deep learning classification model for the detection of COVID-19 patients using Chest X-ray157
Forecasting of COVID19 per regions using ARIMA models and polynomial functions154
Deep belief network and linear perceptron based cognitive computing for collaborative robots152
Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature150
MTDE: An effective multi-trial vector-based differential evolution algorithm and its applications for engineering design problems149
Federated learning for COVID-19 screening from Chest X-ray images147
Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction145
AHP integrated TOPSIS and VIKOR methods with Pythagorean fuzzy sets to prioritize risks in self-driving vehicles143
Mean–variance portfolio optimization using machine learning-based stock price prediction138
Short-term photovoltaic power generation forecasting based on random forest feature selection and CEEMD: A case study137
Inception v3 based cervical cell classification combined with artificially extracted features136
Deep transfer learning with limited data for machinery fault diagnosis133
SCSTCF: Spatial-Channel Selection and Temporal Regularized Correlation Filters for visual tracking131
Fuzzy based image edge detection algorithm for blood vessel detection in retinal images129
A memory-based Grey Wolf Optimizer for global optimization tasks126
A full migration BBO algorithm with enhanced population quality bounds for multimodal biomedical image registration123
A multi-objective pharmaceutical supply chain network based on a robust fuzzy model: A comparison of meta-heuristics123
A parallel compact cuckoo search algorithm for three-dimensional path planning123
Forecasting the dynamics of cumulative COVID-19 cases (confirmed, recovered and deaths) for top-16 countries using statistical machine learning models: Auto-Regressive Integrated Moving Average (ARIMA120
A bi-objective home healthcare routing and scheduling problem considering patients’ satisfaction in a fuzzy environment119
Assessment of compressive strength of Ultra-high Performance Concrete using deep machine learning techniques119
A new deep learning ensemble credit risk evaluation model with an improved synthetic minority oversampling technique119
A novel extended approach under hesitant fuzzy sets to design a framework for assessing the key challenges of digital health interventions adoption during the COVID-19 outbreak118
An adaptive differential evolution algorithm based on belief space and generalized opposition-based learning for resource allocation116
MARCOS technique under intuitionistic fuzzy environment for determining the COVID-19 pandemic performance of insurance companies in terms of healthcare services115
FBI inspired meta-optimization112
An optimized deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimization111
Equilibrium optimization algorithm for network reconfiguration and distributed generation allocation in power systems111
Imbalanced sample fault diagnosis of rotating machinery using conditional variational auto-encoder generative adversarial network109
Fault diagnosis of rolling bearing of wind turbines based on the Variational Mode Decomposition and Deep Convolutional Neural Networks109
A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting108
Cooperation search algorithm: A novel metaheuristic evolutionary intelligence algorithm for numerical optimization and engineering optimization problems108
User reviews: Sentiment analysis using lexicon integrated two-channel CNN–LSTM​ family models106
A hybrid approach for forecasting ship motion using CNN–GRU–AM and GCWOA104
Improved tunicate swarm algorithm: Solving the dynamic economic emission dispatch problems104
An enhanced genetic algorithm for path planning of autonomous UAV in target coverage problems103
An ensemble learning based prediction strategy for dynamic multi-objective optimization101
A survey and taxonomy of the fuzzy signature-based Intrusion Detection Systems101
Multi-objective metaheuristics for discrete optimization problems: A review of the state-of-the-art100
Interpreting network knowledge with attention mechanism for bearing fault diagnosis100
Offshore wind farm site selection using interval rough numbers based Best-Worst Method and MARCOS100
A stacking-based ensemble learning method for earthquake casualty prediction100
Improved binary particle swarm optimization for feature selection with new initialization and search space reduction strategies99
An ensemble-based hotel recommender system using sentiment analysis and aspect categorization of hotel reviews97
Binary biogeography-based optimization based SVM-RFE for feature selection96
Multi-robot path planning using improved particle swarm optimization algorithm through novel evolutionary operators95
Discrete evolutionary multi-objective optimization for energy-efficient blocking flow shop scheduling with setup time94
Clustering-based anomaly detection in multivariate time series data94
A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methods94
Distributed Grey Wolf Optimizer for scheduling of workflow applications in cloud environments94
Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks93
A new-structure grey Verhulst model for China’s tight gas production forecasting93
DanHAR: Dual Attention Network for multimodal human activity recognition using wearable sensors92
Cross-SEAN: A cross-stitch semi-supervised neural attention model for COVID-19 fake news detection92
Application of LSTM approach for modelling stress–strain behaviour of soil92
New imbalanced bearing fault diagnosis method based on Sample-characteristic Oversampling TechniquE (SCOTE) and multi-class LS-SVM92
Prediction and analysis of train arrival delay based on XGBoost and Bayesian optimization91
Deep transfer with minority data augmentation for imbalanced breast cancer dataset89
Railway dangerous goods transportation system risk identification: Comparisons among SVM, PSO-SVM, GA-SVM and GS-SVM89
Dynamic differential annealed optimization: New metaheuristic optimization algorithm for engineering applications88
Short-term wind power prediction based on EEMD–LASSO–QRNN model88
Distributed computation offloading method based on deep reinforcement learning in ICV87
An improved artificial bee colony algorithm for solving multi-objective low-carbon flexible job shop scheduling problem86
Interval type-2 Fuzzy ARAS method for recycling facility location problems85
Modified two-phase fuzzy goal programming integrated with IF-TOPSIS for green supplier selection85
Temporal convolutional autoencoder for unsupervised anomaly detection in time series84
Att-Net: Enhanced emotion recognition system using lightweight self-attention module84
DeepCoroNet: A deep LSTM approach for automated detection of COVID-19 cases from chest X-ray images84
Evaluation of government strategies against COVID-19 pandemic using q-rung orthopair fuzzy TOPSIS method83
Attention induced multi-head convolutional neural network for human activity recognition83
Ensemble of deep sequential models for credit card fraud detection83
On the origins of randomization-based feedforward neural networks82
Ant colony optimization for traveling salesman problem based on parameters optimization82
Detecting fake news with capsule neural networks82
An efficient metaheuristic algorithm based feature selection and recurrent neural network for DoS attack detection in cloud computing environment81
A multi-stage multi-criteria hierarchical decision-making approach for sustainable supplier selection80
Intelligent modeling strategies for forecasting air quality time series: A review80
Unsupervised anomaly detection with LSTM autoencoders using statistical data-filtering80
Multi-objective meta-heuristic optimization in intelligent control: A survey on the controller tuning problem80
A novel hybrid feature selection method based on dynamic feature importance80
The viability of extended marine predators algorithm-based artificial neural networks for streamflow prediction80
The applications of MCDM methods in COVID-19 pandemic: A state of the art review80
Efficient activity recognition using lightweight CNN and DS-GRU network for surveillance applications78
AGLNet: Towards real-time semantic segmentation of self-driving images via attention-guided lightweight network78
Kapur’s entropy based optimal multilevel image segmentation using Crow Search Algorithm78
Hybrid Particle Swarm and Grey Wolf Optimizer and its application to clustering optimization78
Cryptocurrency malware hunting: A deep Recurrent Neural Network approach78
Disaster relief supply chain design for personal protection equipment during the COVID-19 pandemic78
An efficient equilibrium optimizer with mutation strategy for numerical optimization77
Deep neural network features fusion and selection based on PLS regression with an application for crops diseases classification77
An improved sine–cosine algorithm for simultaneous network reconfiguration and DG allocation in power distribution systems77
Fitness–Distance Balance based adaptive guided differential evolution algorithm for security-constrained optimal power flow problem incorporating renewable energy sources77
Classification of white blood cells using deep features obtained from Convolutional Neural Network models based on the combination of feature selection methods76
Matching large-scale biomedical ontologies with central concept based partitioning algorithm and Adaptive Compact Evolutionary Algorithm76
A genetic simulated annealing algorithm for parallel partial disassembly line balancing problem76
COVID-19 X-ray images classification based on enhanced fractional-order cuckoo search optimizer using heavy-tailed distributions75
Forecasting crude oil prices based on variational mode decomposition and random sparse Bayesian learning75
An extended fuzzy decision-making framework using hesitant fuzzy sets for the drug selection to treat the mild symptoms of Coronavirus Disease 2019 (COVID-19)74
Fuzzy finite-time stable compensation control for a building structural vibration system with actuator failures74
A competitive chain-based Harris Hawks Optimizer for global optimization and multi-level image thresholding problems74
Electrical load forecasting: A deep learning approach based on K-nearest neighbors73
A seasonal-trend decomposition-based dendritic neuron model for financial time series prediction73
Optimization of an auto drum fashioned brake using the elite opposition-based learning and chaotic k-best gravitational search strategy based grey wolf optimizer algorithm73
Optimization of Optimal Power Flow Problem Using Multi-Objective Manta Ray Foraging Optimizer72
Fuzzy decision by opinion score method72
Nonlinear-based Chaotic Harris Hawks Optimizer: Algorithm and Internet of Vehicles application71
Data-driven prognosis method using hybrid deep recurrent neural network71
Parameter optimization for nonlinear grey Bernoulli model on biomass energy consumption prediction71
WBC-Net: A white blood cell segmentation network based on UNet++ and ResNet71
Solving green supplier selection problem using q-rung orthopair fuzzy-based decision framework with unknown weight information71
Solving capacitated vehicle routing problem using cooperative firefly algorithm71
Optimal path planning approach based on Q-learning algorithm for mobile robots70
Detecting COVID-19 patients based on fuzzy inference engine and Deep Neural Network70
Modes decomposition forecasting approach for ultra-short-term wind speed70
Mathematical model and bee algorithms for mixed-model assembly line balancing problem with physical human–robot collaboration70
Feature selection via normative fuzzy information weight with application into tumor classification70
Hybridizing Gray Wolf Optimization (GWO) with Grasshopper Optimization Algorithm (GOA) for text feature selection and clustering69
Uncertainty quantification for plant disease detection using Bayesian deep learning68
Monitoring agriculture areas with satellite images and deep learning68
Daily streamflow forecasting in Sobradinho Reservoir using machine learning models coupled with wavelet transform and bootstrapping67
A modified interval valued intuitionistic fuzzy CODAS method and its application to multi-criteria selection among renewable energy alternatives in Turkey67
Evaluating public transport service quality using picture fuzzy analytic hierarchy process and linear assignment model66
Social network clustering and consensus-based distrust behaviors management for large-scale group decision-making with incomplete hesitant fuzzy preference relations66
Learning distinctive filters for COVID-19 detection from chest X-ray using shuffled residual CNN66
Utilizing IoT to design a relief supply chain network for the SARS-COV-2 pandemic66
Multi-criteria food waste treatment method selection using single-valued neutrosophic-CRITIC-MULTIMOORA framework66
Q-Learning-based parameter control in differential evolution for structural optimization66
EGNN: Graph structure learning based on evolutionary computation helps more in graph neural networks65
Deep learning and multilingual sentiment analysis on social media data: An overview65
Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions65
A multi-objective evolutionary algorithm with interval based initialization and self-adaptive crossover operator for large-scale feature selection in classification64
Customer-oriented product design using an integrated neutrosophic AHP & DEMATEL & QFD methodology64
Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study64
A fuzzy recommendation system for predicting the customers interests using sentiment analysis and ontology in e-commerce64
Pyramid particle swarm optimization with novel strategies of competition and cooperation64
Pinhole-imaging-based learning butterfly optimization algorithm for global optimization and feature selection64
SVM kernel based on particle swarm optimized vector and Bayesian optimized SVM in atmospheric particulate matter forecasting64
Combined economic and emission power dispatch problems through multi-objective squirrel search algorithm63
Carbon price forecasting system based on error correction and divide-conquer strategies63
A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem63
Autonomous navigation of UAV in multi-obstacle environments based on a Deep Reinforcement Learning approach63
Sustainable building material selection: An integrated multi-criteria large group decision making framework63
Hesitant Pythagorean fuzzy ELECTRE-II method for multi-criteria decision-making problems63
Assessing customer satisfaction of O2O takeaway based on online reviews by integrating fuzzy comprehensive evaluation with AHP and probabilistic linguistic term sets63
Opposition-based JAYA with population reduction for parameter estimation of photovoltaic solar cells and modules62
Application of modified pigeon-inspired optimization algorithm and constraint-objective sorting rule on multi-objective optimal power flow problem62
Building trust/distrust relationships on signed social service network through privacy-aware link prediction process62
Prediction of air-overpressure induced by blasting using an ANFIS-PNN model optimized by GA62
Discrete Grey Wolf Optimizer for symmetric travelling salesman problem62
Thermally-induced error compensation of spindle system based on long short term memory neural networks62
Customer segmentation using K-means clustering and the adaptive particle swarm optimization algorithm62
ELM-based adaptive neuro swarm intelligence techniques for predicting the California bearing ratio of soils in soaked conditions62
Cascade knowledge diffusion network for skin lesion diagnosis and segmentation62
Solving a novel designed second order nonlinear Lane–Emden delay differential model using the heuristic techniques61
Intelligent optic disc segmentation using improved particle swarm optimization and evolving ensemble models61
Topic-level sentiment analysis of social media data using deep learning61
An adaptive artificial bee colony with reinforcement learning for distributed three-stage assembly scheduling with maintenance61
A self-adaptive kernel extreme learning machine for short-term wind speed forecasting61
2-stage modified random forest model for credit risk assessment of P2P network lending to “Three Rurals” borrowers61
An extended Pythagorean fuzzy complex proportional assessment approach with new entropy and score function: Application in pharmacological therapy selection for type 2 diabetes61
A multi-objective particle swarm optimization algorithm based on two-archive mechanism61
A linguistic distribution behavioral multi-criteria group decision making model integrating extended generalized TODIM and quantum decision theory60
A novel hybrid model based on combined preprocessing method and advanced optimization algorithm for power load forecasting60
A survey on the Artificial Bee Colony algorithm variants for binary, integer and mixed integer programming problems60
Multi-objective optimal power flow with stochastic wind and solar power60
Artificial neural networks in drought prediction in the 21st century–A scientometric analysis60
Energy load time-series forecast using decomposition and autoencoder integrated memory network60
Deep neural networks for improving physical accuracy of 2D and 3D multi-mineral segmentation of rock micro-CT images60
A rough–fuzzy approach integrating best–worst method and data envelopment analysis to multi-criteria selection of smart product service module60
Harris Hawks optimisation with Simulated Annealing as a deep feature selection method for screening of COVID-19 CT-scans60
Developing a decision support system for logistics service provider selection employing fuzzy MULTIMOORA & BWM in mining equipment manufacturing59
A machine learning approach combining expert knowledge with genetic algorithms in feature selection for credit risk assessment59
CNN-based multivariate data analysis for bitcoin trend prediction59
Hybrid particle swarm optimization algorithm for solving the clustered vehicle routing problem59
A new combined model based on multi-objective salp swarm optimization for wind speed forecasting59
Interval forecasting for urban water demand using PSO optimized KDE distribution and LSTM neural networks58
A carnivorous plant algorithm for solving global optimization problems58
CoVNet-19: A Deep Learning model for the detection and analysis of COVID-19 patients58
A weighting model based on best–worst method and its application for environmental performance evaluation58
Pareto optimality and game theory approach for optimal deployment of DG in radial distribution system to improve techno-economic benefits58
R-GWO: Representative-based grey wolf optimizer for solving engineering problems58
COPRAS method based on interval-valued hesitant Fermatean fuzzy sets and its application in selecting desalination technology58
Adaptive optimal fuzzy logic based energy management in multi-energy microgrid considering operational uncertainties58
An effective Iterated Greedy algorithm for the distributed permutation flowshop scheduling with due windows58
Adolescent Identity Search Algorithm (AISA): A novel metaheuristic approach for solving optimization problems58
Copula-based reliability and sensitivity analysis of aging dams: Adaptive Kriging and polynomial chaos Kriging methods57
Variants of Artificial Bee Colony algorithm and its applications in medical image processing57
Metaheuristics for solving the vehicle routing problem with the time windows and energy consumption in cold chain logistics57
Real-time deep reinforcement learning based vehicle navigation57
Human protein subcellular localization identification via fuzzy model on Kernelized Neighborhood Representation56
A novel intelligent technique for energy management in smart home using internet of things56
Bayesian optimization algorithm based support vector regression analysis for estimation of shear capacity of FRP reinforced concrete members56
Robust fuzzy c-means clustering algorithm with adaptive spatial & intensity constraint and membership linking for noise image segmentation56
Optimal designing and management of a stand-alone hybrid energy system using meta-heuristic improved sine–cosine algorithm for Recreational Center, case study for Iran country56
Consistency and trust relationship-driven social network group decision-making method with probabilistic linguistic information56
Grey wolf optimizer with an enhanced hierarchy and its application to the wireless sensor network coverage optimization problem56
A predictive GA-based model for closed high-utility itemset mining56
A cyclic dynamic trust-based consensus model for large-scale group decision making with probabilistic linguistic information56
Distracted driver detection by combining in-vehicle and image data using deep learning56
SHADE–WOA: A metaheuristic algorithm for global optimization55
An extended interval-valued Pythagorean fuzzy WASPAS method based on new similarity measures to evaluate the renewable energy sources55
Application of an MCDM model with data mining techniques for green supplier evaluation and selection55
A modified Grey Wolf Optimization with Cuckoo Search Algorithm for load frequency controller design of hybrid power system55
Modified Social Group Optimization—a meta-heuristic algorithm to solve short-term hydrothermal scheduling55
A type-3 fuzzy control for current sharing and voltage balancing in microgrids55
A Novel Image Steganographic Method based on Integer Wavelet Transformation and Particle Swarm Optimization55
A radial basis function surrogate model assisted evolutionary algorithm for high-dimensional expensive optimization problems55
Motion-encoded particle swarm optimization for moving target search using UAVs54
Predicting stock price trends based on financial news articles and using a novel twin support vector machine with fuzzy hyperplane54
The mixed integer robust maximum expert consensus models for large-scale GDM under uncertainty circumstances54
COVID-19 outbreak: An ensemble pre-trained deep learning model for detecting informative tweets54
Weighted Random k Satisfiability for k54
Flexible job shop scheduling problem with reconfigurable machine tools: An improved differential evolution algorithm53
A two-stage intrusion detection system with auto-encoder and LSTMs53
Deep reinforcement learning approach for MPPT control of partially shaded PV systems in Smart Grids53
A remaining useful life prediction method with long-short term feature processing for aircraft engines53
A chaos recurrent ANFIS optimized by PSO to predict ground vibration generated in rock blasting53
KNNOR: An oversampling technique for imbalanced datasets52
Identifying crop diseases using attention embedded MobileNet-V2 model52
Constructing a stock-price forecast CNN model with gold and crude oil indicators52
Artificial bee colony algorithm based on adaptive neighborhood search and Gaussian perturbation52
Short-term prediction of COVID-19 spread using grey rolling model optimized by particle swarm optimization52
Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework52
Grey–Lotka–Volterra model for the competition and cooperation between third-party online payment systems and online banking in China51
Implementing modified swarm intelligence algorithm based on Slime moulds for path planning and obstacle avoidance problem in mobile robots51
A comprehensive survey on design and application of autoencoder in deep learning51
Predicting load capacity of shear walls using SVR–RSM model51
Agile trends in Chinese global software development industry: Fuzzy AHP based conceptual mapping50
Discrete sparrow search algorithm for symmetric traveling salesman problem50
Renewable sources-based automatic load frequency control of interconnected systems using chaotic atom search optimization50
Coronavirus disease (COVID-19) detection using X-ray images and enhanced DenseNet50
A new fuzzy approach based on BWM and fuzzy preference programming for hospital performance evaluation: A case study50
Optimal production and maintenance scheduling for a degrading multi-failure modes single-machine production environment50
A hybrid decision making approach for new service development process of renewable energy investment50