Applied Soft Computing

Papers
(The H4-Index of Applied Soft Computing is 83. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
Investigating the impact of data normalization on classification performance615
Financial time series forecasting with deep learning : A systematic literature review: 2005–2019537
A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer402
EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM241
Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media240
Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning235
An improved PSO algorithm for smooth path planning of mobile robots using continuous high-degree Bezier curve234
Multiple features based approach for automatic fake news detection on social networks using deep learning231
A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization230
Automated medical diagnosis of COVID-19 through EfficientNet convolutional neural network229
CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection228
Deep learning for financial applications : A survey205
Differential evolution algorithm with wavelet basis function and optimal mutation strategy for complex optimization problem195
Topic detection and sentiment analysis in Twitter content related to COVID-19 from Brazil and the USA194
AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system175
HSMA_WOA: A hybrid novel Slime mould algorithm with whale optimization algorithm for tackling the image segmentation problem of chest X-ray images174
The ensemble deep learning model for novel COVID-19 on CT images172
An integrated framework of deep learning and knowledge graph for prediction of stock price trend: An application in Chinese stock exchange market164
Statistical and machine learning models in credit scoring: A systematic literature survey163
Safety-enhanced UAV path planning with spherical vector-based particle swarm optimization156
InstaCovNet-19: A deep learning classification model for the detection of COVID-19 patients using Chest X-ray153
Forecasting of COVID19 per regions using ARIMA models and polynomial functions150
Deep belief network and linear perceptron based cognitive computing for collaborative robots148
Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction145
Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature143
MTDE: An effective multi-trial vector-based differential evolution algorithm and its applications for engineering design problems140
AHP integrated TOPSIS and VIKOR methods with Pythagorean fuzzy sets to prioritize risks in self-driving vehicles135
Federated learning for COVID-19 screening from Chest X-ray images134
Mean–variance portfolio optimization using machine learning-based stock price prediction134
Short-term photovoltaic power generation forecasting based on random forest feature selection and CEEMD: A case study128
Deep transfer learning with limited data for machinery fault diagnosis128
Inception v3 based cervical cell classification combined with artificially extracted features127
SCSTCF: Spatial-Channel Selection and Temporal Regularized Correlation Filters for visual tracking127
Fuzzy based image edge detection algorithm for blood vessel detection in retinal images125
A novel hybrid MCDM model for machine tool selection using fuzzy DEMATEL, entropy weighting and later defuzzification VIKOR122
A multi-objective pharmaceutical supply chain network based on a robust fuzzy model: A comparison of meta-heuristics121
A full migration BBO algorithm with enhanced population quality bounds for multimodal biomedical image registration121
A parallel compact cuckoo search algorithm for three-dimensional path planning120
A memory-based Grey Wolf Optimizer for global optimization tasks118
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 outbreak117
A new deep learning ensemble credit risk evaluation model with an improved synthetic minority oversampling technique116
A bi-objective home healthcare routing and scheduling problem considering patients’ satisfaction in a fuzzy environment116
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 (ARIMA115
MARCOS technique under intuitionistic fuzzy environment for determining the COVID-19 pandemic performance of insurance companies in terms of healthcare services111
Assessment of compressive strength of Ultra-high Performance Concrete using deep machine learning techniques107
An adaptive differential evolution algorithm based on belief space and generalized opposition-based learning for resource allocation105
FBI inspired meta-optimization105
Fault diagnosis of rolling bearing of wind turbines based on the Variational Mode Decomposition and Deep Convolutional Neural Networks105
A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting104
An optimized deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimization104
User reviews: Sentiment analysis using lexicon integrated two-channel CNN–LSTM​ family models102
A fuzzy rough number-based AHP-TOPSIS for design concept evaluation under uncertain environments102
Equilibrium optimization algorithm for network reconfiguration and distributed generation allocation in power systems102
Imbalanced sample fault diagnosis of rotating machinery using conditional variational auto-encoder generative adversarial network101
Cooperation search algorithm: A novel metaheuristic evolutionary intelligence algorithm for numerical optimization and engineering optimization problems100
Improved tunicate swarm algorithm: Solving the dynamic economic emission dispatch problems100
A hybrid approach for forecasting ship motion using CNN–GRU–AM and GCWOA99
A survey and taxonomy of the fuzzy signature-based Intrusion Detection Systems98
Sarcasm detection in mash-up language using soft-attention based bi-directional LSTM and feature-rich CNN97
Improved binary particle swarm optimization for feature selection with new initialization and search space reduction strategies96
Multi-objective metaheuristics for discrete optimization problems: A review of the state-of-the-art96
An ensemble learning based prediction strategy for dynamic multi-objective optimization94
Interpreting network knowledge with attention mechanism for bearing fault diagnosis94
A stacking-based ensemble learning method for earthquake casualty prediction94
Offshore wind farm site selection using interval rough numbers based Best-Worst Method and MARCOS93
Multi-robot path planning using improved particle swarm optimization algorithm through novel evolutionary operators91
Discrete evolutionary multi-objective optimization for energy-efficient blocking flow shop scheduling with setup time91
A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methods91
Distributed Grey Wolf Optimizer for scheduling of workflow applications in cloud environments91
A new-structure grey Verhulst model for China’s tight gas production forecasting90
Clustering-based anomaly detection in multivariate time series data90
Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks89
An ensemble-based hotel recommender system using sentiment analysis and aspect categorization of hotel reviews88
An enhanced genetic algorithm for path planning of autonomous UAV in target coverage problems88
Cross-SEAN: A cross-stitch semi-supervised neural attention model for COVID-19 fake news detection88
Application of LSTM approach for modelling stress–strain behaviour of soil86
DanHAR: Dual Attention Network for multimodal human activity recognition using wearable sensors86
Distributed computation offloading method based on deep reinforcement learning in ICV85
Binary biogeography-based optimization based SVM-RFE for feature selection85
New imbalanced bearing fault diagnosis method based on Sample-characteristic Oversampling TechniquE (SCOTE) and multi-class LS-SVM85
Dynamic differential annealed optimization: New metaheuristic optimization algorithm for engineering applications84
An improved artificial bee colony algorithm for solving multi-objective low-carbon flexible job shop scheduling problem84
Modified two-phase fuzzy goal programming integrated with IF-TOPSIS for green supplier selection84
Short-term wind power prediction based on EEMD–LASSO–QRNN model83
Railway dangerous goods transportation system risk identification: Comparisons among SVM, PSO-SVM, GA-SVM and GS-SVM83
Optimal power flow using the AMTPG-Jaya algorithm83
Deep transfer with minority data augmentation for imbalanced breast cancer dataset83
Interval type-2 Fuzzy ARAS method for recycling facility location problems83
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