OOIR: Observatory of International Research

Papers

(The H4-Index of Applied Soft Computing is 80. 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.)

Article	Citations
Investigating the impact of data normalization on classification performance	780
A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer	438
EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM	280
An improved PSO algorithm for smooth path planning of mobile robots using continuous high-degree Bezier curve	270
Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media	258
Automated medical diagnosis of COVID-19 through EfficientNet convolutional neural network	255
Multiple features based approach for automatic fake news detection on social networks using deep learning	252
A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization	239
CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection	237
Safety-enhanced UAV path planning with spherical vector-based particle swarm optimization	215
Topic detection and sentiment analysis in Twitter content related to COVID-19 from Brazil and the USA	214
Differential evolution algorithm with wavelet basis function and optimal mutation strategy for complex optimization problem	205
AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system	180
The ensemble deep learning model for novel COVID-19 on CT images	178
Forecasting of COVID19 per regions using ARIMA models and polynomial functions	164
InstaCovNet-19: A deep learning classification model for the detection of COVID-19 patients using Chest X-ray	163
MTDE: An effective multi-trial vector-based differential evolution algorithm and its applications for engineering design problems	162
Federated learning for COVID-19 screening from Chest X-ray images	156
Mean–variance portfolio optimization using machine learning-based stock price prediction	154
Deep transfer learning with limited data for machinery fault diagnosis	151
AHP integrated TOPSIS and VIKOR methods with Pythagorean fuzzy sets to prioritize risks in self-driving vehicles	148
SCSTCF: Spatial-Channel Selection and Temporal Regularized Correlation Filters for visual tracking	137
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 (ARIMA	128
A new deep learning ensemble credit risk evaluation model with an improved synthetic minority oversampling technique	126
Equilibrium optimization algorithm for network reconfiguration and distributed generation allocation in power systems	125

MARCOS technique under intuitionistic fuzzy environment for determining the COVID-19 pandemic performance of insurance companies in terms of healthcare services	122
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 outbreak	120
An adaptive differential evolution algorithm based on belief space and generalized opposition-based learning for resource allocation	120
A stacking-based ensemble learning method for earthquake casualty prediction	119
A hybrid approach for forecasting ship motion using CNN–GRU–AM and GCWOA	119
An enhanced genetic algorithm for path planning of autonomous UAV in target coverage problems	119
Cooperation search algorithm: A novel metaheuristic evolutionary intelligence algorithm for numerical optimization and engineering optimization problems	119
An optimized deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimization	117
A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting	113
Offshore wind farm site selection using interval rough numbers based Best-Worst Method and MARCOS	113
Clustering-based anomaly detection in multivariate time series data	113
Interpreting network knowledge with attention mechanism for bearing fault diagnosis	109
Improved tunicate swarm algorithm: Solving the dynamic economic emission dispatch problems	107
An ensemble-based hotel recommender system using sentiment analysis and aspect categorization of hotel reviews	106
An ensemble learning based prediction strategy for dynamic multi-objective optimization	106
Improved binary particle swarm optimization for feature selection with new initialization and search space reduction strategies	103
Temporal convolutional autoencoder for unsupervised anomaly detection in time series	102
Binary biogeography-based optimization based SVM-RFE for feature selection	102
DanHAR: Dual Attention Network for multimodal human activity recognition using wearable sensors	101
Prediction and analysis of train arrival delay based on XGBoost and Bayesian optimization	100
Railway dangerous goods transportation system risk identification: Comparisons among SVM, PSO-SVM, GA-SVM and GS-SVM	100
Attention induced multi-head convolutional neural network for human activity recognition	100
Distributed Grey Wolf Optimizer for scheduling of workflow applications in cloud environments	99
Cross-SEAN: A cross-stitch semi-supervised neural attention model for COVID-19 fake news detection	97
New imbalanced bearing fault diagnosis method based on Sample-characteristic Oversampling TechniquE (SCOTE) and multi-class LS-SVM	97
Application of LSTM approach for modelling stress–strain behaviour of soil	97
Short-term wind power prediction based on EEMD–LASSO–QRNN model	97
A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methods	96
Efficient activity recognition using lightweight CNN and DS-GRU network for surveillance applications	95
Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks	95
Ant colony optimization for traveling salesman problem based on parameters optimization	95
Ensemble of deep sequential models for credit card fraud detection	94
A new-structure grey Verhulst model for China’s tight gas production forecasting	94
Deep transfer with minority data augmentation for imbalanced breast cancer dataset	94
On the origins of randomization-based feedforward neural networks	93
Distributed computation offloading method based on deep reinforcement learning in ICV	92
The applications of MCDM methods in COVID-19 pandemic: A state of the art review	91
Detecting fake news with capsule neural networks	90
Interval type-2 Fuzzy ARAS method for recycling facility location problems	90
Intelligent modeling strategies for forecasting air quality time series: A review	89
The viability of extended marine predators algorithm-based artificial neural networks for streamflow prediction	89
Att-Net: Enhanced emotion recognition system using lightweight self-attention module	88
Unsupervised anomaly detection with LSTM autoencoders using statistical data-filtering	87
An efficient metaheuristic algorithm based feature selection and recurrent neural network for DoS attack detection in cloud computing environment	87
DeepCoroNet: A deep LSTM approach for automated detection of COVID-19 cases from chest X-ray images	86
Evaluation of government strategies against COVID-19 pandemic using q-rung orthopair fuzzy TOPSIS method	85
AGLNet: Towards real-time semantic segmentation of self-driving images via attention-guided lightweight network	85
Deep neural network features fusion and selection based on PLS regression with an application for crops diseases classification	84
Hybrid Particle Swarm and Grey Wolf Optimizer and its application to clustering optimization	83
A genetic simulated annealing algorithm for parallel partial disassembly line balancing problem	83

A comprehensive survey on design and application of autoencoder in deep learning	82
Fitness–Distance Balance based adaptive guided differential evolution algorithm for security-constrained optimal power flow problem incorporating renewable energy sources	82
Forecasting crude oil prices based on variational mode decomposition and random sparse Bayesian learning	81
Electrical load forecasting: A deep learning approach based on K-nearest neighbors	80
Disaster relief supply chain design for personal protection equipment during the COVID-19 pandemic	80
Cryptocurrency malware hunting: A deep Recurrent Neural Network approach	80