OOIR: Observatory of International Research

Papers

(The H4-Index of Applied Soft Computing is 75. 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 2021-02-01 to 2025-02-01.)

Article	Citations
Fuzzy and elitist cuckoo search based microscopic image segmentation approach	460
A multi-root solver for discontinuous and non-differentiable equations by integrating genetic algorithm and derivative-free iterative methods	289
MPC using an on-line TS fuzzy learning approach with application to autonomous driving	287
Graph-driven feature selection via granular-rectangular neighborhood rough sets for interval-valued data sets	252
Evolving temporal convolutional neural networks for modeling turntable servo systems	235
Deadlock-free production using Dempster–Shafer and preset methods in predictive scheduling for multiagent controlled flexible manufacturing systems	214
An efficient reinforcement learning scheme for the confinement escape problem	212
Adaptive learning on hierarchical data streams using window-weighted Gaussian probabilities	170
A software trustworthiness evaluation methodology for cloud services with picture fuzzy information	167
Tree-shaped multiobjective evolutionary CNN for hyperspectral image classification	163
Forecasting the seasonal natural gas consumption in the US using a gray model with dummy variables	153
Cost based Random Forest Classifier for Intrusion Detection System in Internet of Things	148
Hyperspectral image change detection based on active convolutional neural network and spatial–spectral affinity graph learning	142
Low-epsilon adversarial attack against a neural network online image stream classifier	134
Automatic frequency-based feature selection using discrete weighted evolution strategy	133
New benchmark algorithms for No-wait Flowshop Group Scheduling Problem with Sequence-Dependent Setup Times	131
Weighted Centroids in Adaptive Nelder–Mead Simplex: With heat source locator and multiple myeloma predictor applications	129
An approach to investigate fairness using Dominance-based Rough Sets Analysis—How fair were the COVID-19 restriction decisions in the UK?	122
A grid-level segmentation model based on encoder-decoder structure with multi-source features for crop lodging detection	121
Pruned lightweight neural networks for arrhythmia classification with clinical 12-Lead ECGs	119
Dynamic trajectory partition optimization method based on historical trajectory data	119
A systematic literature review on traditional to artificial intelligence based socio-behavioral disorders diagnosis in India: Challenges and future perspectives	116
Ant colony optimization-based method for energy-efficient cutting trajectory planning in axial robotic roadheader	113
Forecasting crude oil futures prices using BiLSTM-Attention-CNN model with Wavelet transform	111
Robust echo state network with Cauchy loss function and hybrid regularization for noisy time series prediction	110

From black box to clear box: A hypothesis testing framework for scalar regression problems using deep artificial neural networks	109
A deep local-temporal architecture with attention for lightweight human activity recognition	108
Information fusion-based genetic algorithm with long short-term memory for stock price and trend prediction	107
COVID-WideNet—A capsule network for COVID-19 detection	107
A Lyapunov-stability-based context-layered recurrent pi-sigma neural network for the identification of nonlinear systems	106
A modified convolutional neural network architecture for diabetic retinopathy screening using SVDD	105
SVM-based anomaly detection in remote working: Intelligent software SmartRadar	105
Autonomous navigation of UAV in multi-obstacle environments based on a Deep Reinforcement Learning approach	102
An enhanced genetic algorithm for path planning of autonomous UAV in target coverage problems	101
Impact of the learners diversity and combination method on the generation of heterogeneous classifier ensembles	99
An effective iterated greedy algorithm for solving a multi-compartment AGV scheduling problem in a matrix manufacturing workshop	97
Walk-forward empirical wavelet random vector functional link for time series forecasting	97
A self-adaptive gradient-based particle swarm optimization algorithm with dynamic population topology	96
An outward search to increase population diversity for optimization algorithms	96
Multi-level features fusion network-based feature learning for machinery fault diagnosis	95
Forecasting daily Covid-19 cases in the world with a hybrid ARIMA and neural network model	95
Evaluate the competence of fuzzy preference using statistical conflict in the frame of DS evidence theory	95
Multi-surrogate assisted binary particle swarm optimization algorithm and its application for feature selection	94
Cooperative task allocation for multi heterogeneous aerial vehicles using particle swarm optimization algorithm and entropy weight method	94
A 2-phase prediction of a non-stationary time-series by Taylor series and reinforcement learning	92
Multi-fidelity evolutionary multitasking optimization for hyperspectral endmember extraction	92
A text mining-based framework to discover the important factors in text reviews for predicting the views of live streaming	92
Automatic expression recognition of face image sequence based on key-frame generation and differential emotion feature	91
Collaborative scheduling of operating room in hospital network: Multi-objective learning variable neighborhood search	90
Medical image fusion via discrete stationary wavelet transform and an enhanced radial basis function neural network	89
Maximizing minority accuracy for imbalanced pattern classification problems using cost-sensitive Localized Generalization Error Model	87
A survey on deep learning applications in wheat phenotyping	86
Application of artificial bee colony programming techniques for predicting the compressive strength of recycled aggregate concrete	85
Utilizing IoT to design a relief supply chain network for the SARS-COV-2 pandemic	84
Towards explainable TOPSIS: Visual insights into the effects of weights and aggregations on rankings	84
Limit surface/states searching algorithm with a deep neural network and Monte Carlo dropout for nuclear power plant safety assessment	84
A dynamic dual-population co-evolution multi-objective evolutionary algorithm for constrained multi-objective optimization problems	83
A deep learned type-2 fuzzy neural network: Singular value decomposition approach	82
Combining subjective and objective weights considerations to solve the emergency location selection problems under spherical fuzzy environments	82
A computational tool for trend analysis and forecast of the COVID-19 pandemic	81
Multi-resources co-scheduling optimization for home healthcare services under the constraints of service time windows and green transportation	80
Hyper-parameter tuned light gradient boosting machine using memetic firefly algorithm for hand gesture recognition	79
A multi-objective two-echelon location-routing problem for cash logistics: A metaheuristic approach	79
A branched Convolutional Neural Network for RGB-D image classification of ceramic pieces	78
A three-way decision method based on cumulative prospect theory for the hierarchical diagnosis and treatment system of chronic diseases	78
A three-level nested portfolio optimization model with position allocation	78
Influence measure-based large-scale group decision making with linear uncertain preference relations	78
Optimized task scheduling approach with fault tolerant load balancing using multi-objective cat swarm optimization for multi-cloud environment	78
Machine learning based improved cross-project software defect prediction using new structural features in object oriented software	77
A dynamic uncertainty-aware ensemble model: Application to lung cancer segmentation in digital pathology	77
A new prediction-based evolutionary dynamic multiobjective optimization algorithm aided by Pareto optimal solution estimation strategy	77
Multi-unit stacked architecture: An urban scene segmentation network based on UNet and ShuffleNetv2	76
A Bayesian Imprecise Classification method that weights instances using the error costs	76
Cost-sensitive stacked long short-term memory with an evolutionary framework for minority class detection	76
Collaborative semantic representation network for metaphor detection	76

An ensemble multi-swarm teaching–learning-based optimization algorithm for function optimization and image segmentation	75
Effects of memory and genetic operators on Artificial Bee Colony algorithm for Single Container Loading problem	75