OOIR: Observatory of International Research

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 2020-03-01 to 2024-03-01.)

Article	Citations
Adaptive Threshold Optimisation for Online Feature Selection using Dynamic Particle Swarm Optimisation in Determining Feature Relevancy and Redundancy	976500490
Spherical Fuzzy Sets based Integrated DEMATEL, ANP, VIKOR Approach and its application for Renewable Energy Selection in Turkey	925894961
An Intelligent Framework of Upgraded CapsNets with Massive Transmissibility Data for Identifying Damage in Bridges	859125559
Pheromone-Guided parallel rough hypercuboid attribute reduction algorithm	842215992
Implementation of Caputo type fractional derivative chain rule on back propagation algorithm	809120313
Investigating the impact of data normalization on classification performance	557
Financial time series forecasting with deep learning : A systematic literature review: 2005–2019	498
A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer	381
Chaotic multi-swarm whale optimizer boosted support vector machine for medical diagnosis	359
Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media	233
CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection	222
An improved PSO algorithm for smooth path planning of mobile robots using continuous high-degree Bezier curve	222
A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization	220
Multiple features based approach for automatic fake news detection on social networks using deep learning	219
EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM	217
Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning	217
Automated medical diagnosis of COVID-19 through EfficientNet convolutional neural network	214
Deep learning for financial applications : A survey	191
Differential evolution algorithm with wavelet basis function and optimal mutation strategy for complex optimization problem	190
Topic detection and sentiment analysis in Twitter content related to COVID-19 from Brazil and the USA	188
An intensify Harris Hawks optimizer for numerical and engineering optimization problems	179
HSMA_WOA: A hybrid novel Slime mould algorithm with whale optimization algorithm for tackling the image segmentation problem of chest X-ray images	172
AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system	170
The ensemble deep learning model for novel COVID-19 on CT images	163
A novel reinforcement learning based grey wolf optimizer algorithm for unmanned aerial vehicles (UAVs) path planning	161

An integrated framework of deep learning and knowledge graph for prediction of stock price trend: An application in Chinese stock exchange market	157
Remaining useful life prediction using multi-scale deep convolutional neural network	156
Statistical and machine learning models in credit scoring: A systematic literature survey	149
InstaCovNet-19: A deep learning classification model for the detection of COVID-19 patients using Chest X-ray	145
Deep belief network and linear perceptron based cognitive computing for collaborative robots	145
Forecasting of COVID19 per regions using ARIMA models and polynomial functions	144
Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction	143
Safety-enhanced UAV path planning with spherical vector-based particle swarm optimization	141
MTDE: An effective multi-trial vector-based differential evolution algorithm and its applications for engineering design problems	131
Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature	130
AHP integrated TOPSIS and VIKOR methods with Pythagorean fuzzy sets to prioritize risks in self-driving vehicles	130
Mean–variance portfolio optimization using machine learning-based stock price prediction	128
Federated learning for COVID-19 screening from Chest X-ray images	128
An easy-to-use real-world multi-objective optimization problem suite	125
SCSTCF: Spatial-Channel Selection and Temporal Regularized Correlation Filters for visual tracking	124
Short-term photovoltaic power generation forecasting based on random forest feature selection and CEEMD: A case study	121
Fuzzy based image edge detection algorithm for blood vessel detection in retinal images	121
A full migration BBO algorithm with enhanced population quality bounds for multimodal biomedical image registration	120
Deep transfer learning with limited data for machinery fault diagnosis	120
A novel hybrid MCDM model for machine tool selection using fuzzy DEMATEL, entropy weighting and later defuzzification VIKOR	118
A multi-objective pharmaceutical supply chain network based on a robust fuzzy model: A comparison of meta-heuristics	116
Quantum based Whale Optimization Algorithm for wrapper feature selection	115
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	114
Multi-objective path planning of an autonomous mobile robot using hybrid PSO-MFB optimization algorithm	114
A memory-based Grey Wolf Optimizer for global optimization tasks	113
Inception v3 based cervical cell classification combined with artificially extracted features	113
A parallel compact cuckoo search algorithm for three-dimensional path planning	113
A bi-objective home healthcare routing and scheduling problem considering patients’ satisfaction in a fuzzy environment	112
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	109
Failure mode and effects analysis (FMEA) for risk assessment based on interval type-2 fuzzy evidential reasoning method	108
MARCOS technique under intuitionistic fuzzy environment for determining the COVID-19 pandemic performance of insurance companies in terms of healthcare services	106
Self-adaptive parameter and strategy based particle swarm optimization for large-scale feature selection problems with multiple classifiers	102
Fault diagnosis of rolling bearing of wind turbines based on the Variational Mode Decomposition and Deep Convolutional Neural Networks	102
A new deep learning ensemble credit risk evaluation model with an improved synthetic minority oversampling technique	101
A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting	101
Assessment of compressive strength of Ultra-high Performance Concrete using deep machine learning techniques	100
FBI inspired meta-optimization	100
An optimized deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimization	99
A fuzzy rough number-based AHP-TOPSIS for design concept evaluation under uncertain environments	98
Improved tunicate swarm algorithm: Solving the dynamic economic emission dispatch problems	98
An adaptive differential evolution algorithm based on belief space and generalized opposition-based learning for resource allocation	97
Cooperation search algorithm: A novel metaheuristic evolutionary intelligence algorithm for numerical optimization and engineering optimization problems	95
User reviews: Sentiment analysis using lexicon integrated two-channel CNN–LSTM family models	95
Sarcasm detection in mash-up language using soft-attention based bi-directional LSTM and feature-rich CNN	94
Multi-objective metaheuristics for discrete optimization problems: A review of the state-of-the-art	94
Imbalanced sample fault diagnosis of rotating machinery using conditional variational auto-encoder generative adversarial network	93
An ensemble learning based prediction strategy for dynamic multi-objective optimization	90
Equilibrium optimization algorithm for network reconfiguration and distributed generation allocation in power systems	90
Distributed Grey Wolf Optimizer for scheduling of workflow applications in cloud environments	89
A hybrid approach for forecasting ship motion using CNN–GRU–AM and GCWOA	89

Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks	89
A survey and taxonomy of the fuzzy signature-based Intrusion Detection Systems	88
Offshore wind farm site selection using interval rough numbers based Best-Worst Method and MARCOS	88
A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methods	87
Improved binary particle swarm optimization for feature selection with new initialization and search space reduction strategies	87
Interpreting network knowledge with attention mechanism for bearing fault diagnosis	87
A new-structure grey Verhulst model for China’s tight gas production forecasting	87
A stacking-based ensemble learning method for earthquake casualty prediction	86
Discrete evolutionary multi-objective optimization for energy-efficient blocking flow shop scheduling with setup time	85
Cross-SEAN: A cross-stitch semi-supervised neural attention model for COVID-19 fake news detection	84
A cooperative advertising collaboration policy in supply chain management under uncertain conditions	84
Multi-robot path planning using improved particle swarm optimization algorithm through novel evolutionary operators	84
Stacked pruning sparse denoising autoencoder based intelligent fault diagnosis of rolling bearings	84