Applied Soft Computing

Papers
(The H4-Index of Applied Soft Computing is 84. 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.)
ArticleCitations
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 parallel compact cuckoo search algorithm for three-dimensional path planning123
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
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 new deep learning ensemble credit risk evaluation model with an improved synthetic minority oversampling technique119
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 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
Equilibrium optimization algorithm for network reconfiguration and distributed generation allocation in power systems111
An optimized deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimization111
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
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
Discrete evolutionary multi-objective optimization for energy-efficient blocking flow shop scheduling with setup time94
Clustering-based anomaly detection in multivariate time series data94
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
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
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
Prediction and analysis of train arrival delay based on XGBoost and Bayesian optimization91
Railway dangerous goods transportation system risk identification: Comparisons among SVM, PSO-SVM, GA-SVM and GS-SVM89
Deep transfer with minority data augmentation for imbalanced breast cancer dataset89
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
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