OOIR: Observatory of International Research

Papers

(The TQCC of Evolving Systems is 6. 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 2022-08-01 to 2026-08-01.)

Article	Citations
Optimizing parameter settings for hopfield neural networks using reinforcement learning	195
HDTN: hybrid duo-transformer network for liver and hepatic tumor segmentation in CT images	168
PolyNet-FractalNet deep feature fusion framework with modified spider monkey optimization for multi-modal biometric recognition	120
Design of efficient Wiener spline adaptive filter for electrocardiogram signal enrichment	80
An evolving approach to the similarity-based modeling for online clustering in non-stationary environments	66
A boosted sine cosine algorithm with dimension learning-based search and terminal replacement mechanism for optimization and engineering applications	58
Parameter estimation based IIR system identification using improved arithmetic optimization algorithm	53
Optimized deep learning approach for automated fault diagnosis in mobile robot used for fire-fighting application	46
A neuro Levenberg-Marquardt backpropagation approach for the human liver model	40
Non-overlapping spectrum resources: enhancing video quality transmission with FDR-CK algorithm	40
CRCNet: convolutional multi-layer perceptron encoder with attention module for colorectal cancer segmentation	36
An integrated cat swarm rough set optimization algorithm for the detection of cirrhosis disease	36
Unveiling Harris Hawk Optimization based cost-effective prediction model for scaling agile project success based on client-vendor perspectives	31
Time series anomaly detection via clustering-based representation	30
An autonomous centreless approach to chunk-wise data partitioning	27
Neuro-swarm intelligence to study mosquito dispersal system in a heterogeneous atmosphere	26
Recursive methods for updating consequent parameters in evolving fuzzy systems: a comprehensive review with computational experiments	25
Batch-enabled randomized parameter tuning for improved metaheuristic performance	23
Multi-objective optimization of portfolio selection involving non-convex attributes in an anti-fragile perspective	22
Fast and interpretable time series forecasting using long short-term cognitive networks	21
Beyond accuracy and precision: a robust deep learning framework to enhance the resilience of face mask detection models against adversarial attacks	20
Deep learning-based compression and encryption of CT images for secure telemedicine applications	18
AI in gastrointestinal disease detection: overcoming segmentation challenges with Coati optimization strategy	17
An augmented reality PQRST based method to improve self-learning skills for preschool autistic children	16
Empirical mode decomposition-based biometric identification using GRU and LSTM deep neural networks on ECG signals	16

MPA-Net: a multiscale and permute attention network for occlusion and pose robust facial expression recognition in the wild	16
A hybrid Fox optimization algorithm with chaotic maps and polynomial mutation for clustering applications	16
Multiple attribute group decision making based on $$p,q$$-quasirung orthopair Bonferroni mean operators and their applications	16
A novel scheme for the roughness of neutrosophic fuzzy sets by soft relations over dual universes with application in decision analysis	16
Efficient malware detection based on machine learning for enhanced cloud privacy protection	16
3DCC-MPNN: automated 3D reconstruction of corpus callosum based on modified PNN and marching cubes	15
Binary northern goshawk optimization for feature selection on micro array cancer datasets	15
Hybrid self-attention NEAT: a novel evolutionary self-attention approach to improve the NEAT algorithm in high dimensional inputs	15
Evolving fault-tolerant control models for optimized big data transmission in power systems using crossover-based chimp optimization	15
A new IoT recommendation system based on a dynamic ontology	15
Deep neural networks for the early diagnosis of dementia and Alzheimer’s disease from MRI images	14
A domain adaptation technique through cluster boundary integration	14
Proactive safety assessment of unsignalized intersections using GSU-DRBFN-based predictive modeling approach	14
Confluence metaheuristic: a novel initialization strategy for metaheuristic algorithms	14
GA-BiLSTM: an intelligent energy prediction and optimization approach for individual home appliances	14
Deep autoencoder-driven feature learning and meta-heuristic optimized machine learning modelling for crop water stress identification	14
Honey Badger Optimization based grid interactive asymmetrical cascaded MLI with minimum voltage distortion	13
A butterfly optimization approach for improving the performance of futuristic internet-of-things	13
Grouped mask region convolution neural networks for improved breast cancer segmentation in mammography images	13
Towards improvement of baseline performance for regression based human pose estimation	13
Towards continuous water stress classification in tomato plants via fuzzy Hoeffding trees and in-vivo biosensors	13
An online learning framework for feature-evolvable data streams with label scarcity	13
Obituary Edwin Lughofer (1972–2023)	12
ResUNet + + : a comprehensive improved UNet + + framework for volumetric semantic segmentation of brain tumor MR images	12
Protecting transmission line in STATCOM integrated DFIG system using adaptive distance relay blocking scheme	12
Multi-modal fusion and vision transformers for robust early AMD prediction	12
A hybrid jumping swarm optimization based local search approach for minimum weighted dominating set problem	12
An efficient real-time stock prediction exploiting incremental learning and deep learning	12
Enhanced elite opposition-based manta ray foraging optimization for data clustering	11
Optimizing path reasoning scheme to improve conversational recommendation system	11
An effective undersampling method for biomedical named entity recognition using machine learning	11
A method for predicting key bogie component status under limited and non-stationary data conditions	11
An explainable approach to deep learning from CT-scans for Covid identification	11
Feature dimensionality reduction via homological properties of observability	11
Sensecor: A framework for COVID-19 variants severity classification and symptoms detection	11
Spiking neural networks: a comprehensive review of diverse applications, research progress, challenges and future research directions	11
ABRB-Net: enhancing medical image segmentation with attention based boundary refinement	11
A novel data augmentation approach for ego-lane detection enhancement	11
An advance computational intelligent approach to solve the third kind of nonlinear pantograph Lane–Emden differential system	10
A hybrid PINNs approach to capture interest rate dynamics in short-rate model	10
A comprehensive evaluation of Marine predator chaotic algorithm for feature selection of COVID-19	10
FTN-ResNet50: flexible transformer network model with ResNet50 for road crack detection	10
Application of deep reinforcement learning in various image processing tasks: a survey	10
Multichannel KHMF for speech separation with enthalpy based DOA and score based CNN (SCNN)	10
Correction: Boosted Aquila Arithmetic Optimization Algorithm for multi-level thresholding image segmentation	10
Coal blocking detection method for underground transfer point conveyor based on MR-CAE	9
Explainable AI-driven Alzheimer’s disease stage diagnosis leveraging CNN	9
Generalized synchronization between coupled integer, fractional and delay chaotic systems	9
Chaotic dung beetle optimization–enhanced multi-agent deep reinforcement learning for joint task offloading and resource allocation in multi-unmanned aerial vehicle internet of medical things networks	9
Healthcare fraud detection using adaptive learning and deep learning techniques	9

Two-space interaction enhanced particle swarm optimization for tackling high-dimensional problems	8
Lung tumor cell classification with lightweight mobileNetV2 and attention-based SCAM enhanced faster R-CNN	8
Deep Context Model (DCM): dual context-attention aware model for recognizing the heterogeneous human activities using smartphone sensors	8
Automated forecasting model leveraging large reservoirs of randomized fuzzy cognitive maps	8
IG-ANGO: a novel ensemble learning algorithm for breast cancer prediction using genomic data	8
Scalable, interpretable, and privacy-preserving feature engineering for federated learning	8
Simultaneous feature selection and SVM optimization based on fuzzy signature and chaos GOA	8
ECTL: deep prediction of learning emotion propagation in smart teaching	8
Error-weighted drift-adaptive ensemble framework for classification of streaming data	8
Computation offloading and scheduling in mobile edge networks and SDN	8
Enhancing water potability classification using a hybrid GRU with LSTM deep learning models based on relief algorithm and bayesian optimization	8
A novel approach for classifying LEV motor bearing faults using a PSO-optimized CNN model and parameters based on transfer learning	7
Application of electronic tongue combined with meta-learning and contrastive learning dual aggregation network for rapid detection of rice origins	7
DEMD-IoT: a deep ensemble model for IoT malware detection using CNNs and network traffic	7
Adaptive model based on ESN for anomaly detection in industrial systems	7
RLU-Net-GD: a deep supervised residual U-Net for enhanced brain tumor segmentation	7
Dynamic adaptation of scan rates for efficient and congestion-aware internet-wide scanning in IoT security	7
Enhanced fraud detection in transaction graph using hidden Markov model and improved honey badger metaheuristic-based SVM	7
Block based ensemble learning on imbalance data stream with concept drift using enhanced particle swarm optimization	7
Adaptive stream processing on edge devices through active inference	7
Weighted FedCOM: a communication efficient approach to federated learning	7
Advanced fault detection and classification in high voltage transmission lines using deep learning integration	7
DSAF-Net: a dual-stage attention-based framework for chest X-ray lung segmentation	7
GAN-enhanced E-nose analysis: VTAAE for temporal dynamics in beef quality assessment	7
A novel Schweizer Sklar aggregation framework for fuzzy bipolar soft numbers in multi-criteria decision-making: application to deep learning model evaluation	6
A hybrid principal label space transformation-based ridge regression and decision tree for multi-label classification	6
A two-stage shadow removal method with multi-channel multi-scale feature fusion and stripe pooling attention	6
Hunger games pattern search with elite opposite-based solution for solving complex engineering design problems	6
Efficient cluster-based deep anomaly detection based traffic analysis and multi-objective optimization for smarter traffic control	6
ASCAEO: accelerated sine cosine algorithm hybridized with equilibrium optimizer with application in image segmentation using multilevel thresholding	6
An evolving fire prediction framework for urban building clusters with self-adaptive optimization and GIS integration	6
Pixelated disparity network for hepatocellular carcinoma recognition from ultrasound images	6
Deep residual learning-based denoiser for medical X-ray images	6
Evolving knowledge representation learning with the dynamic asymmetric embedding model	6
Evolving vector quantization-aware training: an adaptive method for compressing machine learning models	6
Evolving fuzzy classification for human-centered explainable learning analytics in virtual environments	6
Enhancing EMG signals: an approach with optimized adaptive filtering	6
A face recognition system based-ALMMo-0 classifier	6
RVFLN-CDFPA: a random vector functional link neural network optimized using a chaotic differential flower pollination algorithm for day ahead Net Asset Value prediction	6
Enhancing CNN structure and learning through NSGA-II-based multi-objective optimization	6
A multidimensional search algorithm based on serial computation for solving ultra-high dimensional optimization problems	6
An improved restricted Boltzmann Machine using Bayesian Optimization for Recommender Systems	6