Evolving Systems

Papers
(The TQCC of Evolving Systems is 7. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Optimizing parameter settings for hopfield neural networks using reinforcement learning193
HDTN: hybrid duo-transformer network for liver and hepatic tumor segmentation in CT images147
CRCNet: convolutional multi-layer perceptron encoder with attention module for colorectal cancer segmentation114
PolyNet-FractalNet deep feature fusion framework with modified spider monkey optimization for multi-modal biometric recognition74
Design of efficient Wiener spline adaptive filter for electrocardiogram signal enrichment63
An evolving approach to the similarity-based modeling for online clustering in non-stationary environments58
Time series anomaly detection via clustering-based representation52
A boosted sine cosine algorithm with dimension learning-based search and terminal replacement mechanism for optimization and engineering applications50
Parameter estimation based IIR system identification using improved arithmetic optimization algorithm44
Optimized deep learning approach for automated fault diagnosis in mobile robot used for fire-fighting application37
An integrated cat swarm rough set optimization algorithm for the detection of cirrhosis disease36
A neuro Levenberg-Marquardt backpropagation approach for the human liver model35
Non-overlapping spectrum resources: enhancing video quality transmission with FDR-CK algorithm34
Hybrid self-attention NEAT: a novel evolutionary self-attention approach to improve the NEAT algorithm in high dimensional inputs31
An autonomous centreless approach to chunk-wise data partitioning29
An augmented reality PQRST based method to improve self-learning skills for preschool autistic children26
Neuro-swarm intelligence to study mosquito dispersal system in a heterogeneous atmosphere26
Multiple attribute group decision making based on $$p,q$$-quasirung orthopair Bonferroni mean operators and their applications24
AI in gastrointestinal disease detection: overcoming segmentation challenges with Coati optimization strategy22
Recursive methods for updating consequent parameters in evolving fuzzy systems: a comprehensive review with computational experiments22
Batch-enabled randomized parameter tuning for improved metaheuristic performance20
Deep learning-based compression and encryption of CT images for secure telemedicine applications20
A novel scheme for the roughness of neutrosophic fuzzy sets by soft relations over dual universes with application in decision analysis18
Empirical mode decomposition-based biometric identification using GRU and LSTM deep neural networks on ECG signals18
Beyond accuracy and precision: a robust deep learning framework to enhance the resilience of face mask detection models against adversarial attacks17
A hybrid Fox optimization algorithm with chaotic maps and polynomial mutation for clustering applications17
Efficient malware detection based on machine learning for enhanced cloud privacy protection16
A new IoT recommendation system based on a dynamic ontology15
Multi-objective optimization of portfolio selection involving non-convex attributes in an anti-fragile perspective15
Deep neural networks for the early diagnosis of dementia and Alzheimer’s disease from MRI images14
Evolving fault-tolerant control models for optimized big data transmission in power systems using crossover-based chimp optimization14
Deep autoencoder-driven feature learning and meta-heuristic optimized machine learning modelling for crop water stress identification14
A domain adaptation technique through cluster boundary integration14
GA-BiLSTM: an intelligent energy prediction and optimization approach for individual home appliances14
3DCC-MPNN: automated 3D reconstruction of corpus callosum based on modified PNN and marching cubes14
Binary northern goshawk optimization for feature selection on micro array cancer datasets14
Confluence metaheuristic: a novel initialization strategy for metaheuristic algorithms14
Towards improvement of baseline performance for regression based human pose estimation13
Honey Badger Optimization based grid interactive asymmetrical cascaded MLI with minimum voltage distortion13
An efficient real-time stock prediction exploiting incremental learning and deep learning13
Towards continuous water stress classification in tomato plants via fuzzy Hoeffding trees and in-vivo biosensors13
A butterfly optimization approach for improving the performance of futuristic internet-of-things13
Multi-modal fusion and vision transformers for robust early AMD prediction13
Grouped mask region convolution neural networks for improved breast cancer segmentation in mammography images13
ResUNet +  + : a comprehensive improved UNet +  + framework for volumetric semantic segmentation of brain tumor MR images13
Protecting transmission line in STATCOM integrated DFIG system using adaptive distance relay blocking scheme12
A hybrid jumping swarm optimization based local search approach for minimum weighted dominating set problem12
Optimizing path reasoning scheme to improve conversational recommendation system12
Obituary Edwin Lughofer (1972–2023)12
Spiking neural networks: a comprehensive review of diverse applications, research progress, challenges and future research directions12
Enhanced elite opposition-based manta ray foraging optimization for data clustering12
A method for predicting key bogie component status under limited and non-stationary data conditions11
A novel data augmentation approach for ego-lane detection enhancement11
An explainable approach to deep learning from CT-scans for Covid identification11
Feature dimensionality reduction via homological properties of observability11
An effective undersampling method for biomedical named entity recognition using machine learning11
ABRB-Net: enhancing medical image segmentation with attention based boundary refinement11
Sensecor: A framework for COVID-19 variants severity classification and symptoms detection11
A hybrid PINNs approach to capture interest rate dynamics in short-rate model10
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 networks10
Explainable AI-driven Alzheimer’s disease stage diagnosis leveraging CNN10
Correction: Boosted Aquila Arithmetic Optimization Algorithm for multi-level thresholding image segmentation10
Multichannel KHMF for speech separation with enthalpy based DOA and score based CNN (SCNN)10
FTN-ResNet50: flexible transformer network model with ResNet50 for road crack detection10
Application of deep reinforcement learning in various image processing tasks: a survey10
A comprehensive evaluation of Marine predator chaotic algorithm for feature selection of COVID-1910
An advance computational intelligent approach to solve the third kind of nonlinear pantograph Lane–Emden differential system10
Healthcare fraud detection using adaptive learning and deep learning techniques9
IG-ANGO: a novel ensemble learning algorithm for breast cancer prediction using genomic data9
Error-weighted drift-adaptive ensemble framework for classification of streaming data9
Coal blocking detection method for underground transfer point conveyor based on MR-CAE9
Generalized synchronization between coupled integer, fractional and delay chaotic systems9
ECTL: deep prediction of learning emotion propagation in smart teaching9
Two-space interaction enhanced particle swarm optimization for tackling high-dimensional problems9
Lung tumor cell classification with lightweight mobileNetV2 and attention-based SCAM enhanced faster R-CNN9
Deep Context Model (DCM): dual context-attention aware model for recognizing the heterogeneous human activities using smartphone sensors9
Simultaneous feature selection and SVM optimization based on fuzzy signature and chaos GOA8
Adaptive stream processing on edge devices through active inference8
DEMD-IoT: a deep ensemble model for IoT malware detection using CNNs and network traffic8
Enhancing water potability classification using a hybrid GRU with LSTM deep learning models based on relief algorithm and bayesian optimization8
Automated forecasting model leveraging large reservoirs of randomized fuzzy cognitive maps8
GAN-enhanced E-nose analysis: VTAAE for temporal dynamics in beef quality assessment8
Computation offloading and scheduling in mobile edge networks and SDN8
Weighted FedCOM: a communication efficient approach to federated learning8
Dynamic adaptation of scan rates for efficient and congestion-aware internet-wide scanning in IoT security8
A novel approach for classifying LEV motor bearing faults using a PSO-optimized CNN model and parameters based on transfer learning8
Advanced fault detection and classification in high voltage transmission lines using deep learning integration7
Enhancing EMG signals: an approach with optimized adaptive filtering7
Enhanced fraud detection in transaction graph using hidden Markov model and improved honey badger metaheuristic-based SVM7
A hybrid principal label space transformation-based ridge regression and decision tree for multi-label classification7
A novel Schweizer Sklar aggregation framework for fuzzy bipolar soft numbers in multi-criteria decision-making: application to deep learning model evaluation7
Application of electronic tongue combined with meta-learning and contrastive learning dual aggregation network for rapid detection of rice origins7
RVFLN-CDFPA: a random vector functional link neural network optimized using a chaotic differential flower pollination algorithm for day ahead Net Asset Value prediction7
Adaptive model based on ESN for anomaly detection in industrial systems7
Deep residual learning-based denoiser for medical X-ray images7
Block based ensemble learning on imbalance data stream with concept drift using enhanced particle swarm optimization7
A face recognition system based-ALMMo-0 classifier7
A two-stage shadow removal method with multi-channel multi-scale feature fusion and stripe pooling attention7
0.082515001296997