Evolving Systems

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 2021-08-01 to 2025-08-01.)
ArticleCitations
Time series anomaly detection via clustering-based representation175
HDTN: hybrid duo-transformer network for liver and hepatic tumor segmentation in CT images83
Optimizing parameter settings for hopfield neural networks using reinforcement learning61
CRCNet: convolutional multi-layer perceptron encoder with attention module for colorectal cancer segmentation58
Design of efficient Wiener spline adaptive filter for electrocardiogram signal enrichment55
An evolving approach to the similarity-based modeling for online clustering in non-stationary environments51
PolyNet-FractalNet deep feature fusion framework with modified spider monkey optimization for multi-modal biometric recognition48
Optimized deep learning approach for automated fault diagnosis in mobile robot used for fire-fighting application44
Non-overlapping spectrum resources: enhancing video quality transmission with FDR-CK algorithm42
A boosted sine cosine algorithm with dimension learning-based search and terminal replacement mechanism for optimization and engineering applications41
An autonomous centreless approach to chunk-wise data partitioning35
Reducing the number of trees in a forest using noisy features35
Multiple attribute group decision making based on $$p,q$$-quasirung orthopair Bonferroni mean operators and their applications35
Neuro-swarm intelligence to study mosquito dispersal system in a heterogeneous atmosphere32
Batch-enabled randomized parameter tuning for improved metaheuristic performance29
Efficient malware detection based on machine learning for enhanced cloud privacy protection27
Hybrid self-attention NEAT: a novel evolutionary self-attention approach to improve the NEAT algorithm in high dimensional inputs24
Multi-objective optimization of portfolio selection involving non-convex attributes in an anti-fragile perspective24
Deep learning-based compression and encryption of CT images for secure telemedicine applications22
Beyond accuracy and precision: a robust deep learning framework to enhance the resilience of face mask detection models against adversarial attacks21
Empirical mode decomposition-based biometric identification using GRU and LSTM deep neural networks on ECG signals21
AI in gastrointestinal disease detection: overcoming segmentation challenges with Coati optimization strategy20
Deep neural networks for the early diagnosis of dementia and Alzheimer’s disease from MRI images19
An augmented reality PQRST based method to improve self-learning skills for preschool autistic children19
Confluence metaheuristic: a novel initialization strategy for metaheuristic algorithms18
A new IoT recommendation system based on a dynamic ontology16
A random deep neural system for heartbeat classification14
GA-BiLSTM: an intelligent energy prediction and optimization approach for individual home appliances14
A domain adaptation technique through cluster boundary integration14
Binary northern goshawk optimization for feature selection on micro array cancer datasets14
Grouped mask region convolution neural networks for improved breast cancer segmentation in mammography images13
3DCC-MPNN: automated 3D reconstruction of corpus callosum based on modified PNN and marching cubes13
ResUNet +  + : a comprehensive improved UNet +  + framework for volumetric semantic segmentation of brain tumor MR images13
A butterfly optimization approach for improving the performance of futuristic internet-of-things13
Honey Badger Optimization based grid interactive asymmetrical cascaded MLI with minimum voltage distortion13
An efficient real-time stock prediction exploiting incremental learning and deep learning12
Towards improvement of baseline performance for regression based human pose estimation12
Nature inspired optimization algorithms: a comprehensive overview11
A hybrid jumping swarm optimization based local search approach for minimum weighted dominating set problem11
Multi-modal fusion and vision transformers for robust early AMD prediction11
Obituary Edwin Lughofer (1972–2023)11
An explainable approach to deep learning from CT-scans for Covid identification11
Feature dimensionality reduction via homological properties of observability10
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
Sensecor: A framework for COVID-19 variants severity classification and symptoms detection9
An advance computational intelligent approach to solve the third kind of nonlinear pantograph Lane–Emden differential system9
A semi-supervised deep rule-based classifier for robust finger knuckle-print verification9
An effective undersampling method for biomedical named entity recognition using machine learning9
Healthcare fraud detection using adaptive learning and deep learning techniques9
Application of deep reinforcement learning in various image processing tasks: a survey9
Deep recurrent Gaussian Nesterovs recommendation using multi-agent in social networks9
FTN-ResNet50: flexible transformer network model with ResNet50 for road crack detection9
Editorial on the Special Issue Innovations of Evolving-Adaptive Systems in the Era of the 4th Industrial Revolution8
A comprehensive evaluation of Marine predator chaotic algorithm for feature selection of COVID-198
Semi-supervised deep rule-based approach for the classification of Wagon Bogie springs condition8
Weighted FedCOM: a communication efficient approach to federated learning8
IG-ANGO: a novel ensemble learning algorithm for breast cancer prediction using genomic data8
Two-space interaction enhanced particle swarm optimization for tackling high-dimensional problems8
Dynamic adaptation of scan rates for efficient and congestion-aware internet-wide scanning in IoT security8
Deep Context Model (DCM): dual context-attention aware model for recognizing the heterogeneous human activities using smartphone sensors8
A novel data augmentation approach for ego-lane detection enhancement8
Lung tumor cell classification with lightweight mobileNetV2 and attention-based SCAM enhanced faster R-CNN8
A novel approach for classifying LEV motor bearing faults using a PSO-optimized CNN model and parameters based on transfer learning8
The competition and cooperation strategy game of patent technology innovation among enterprises under closed loop supply chain7
Adaptive model based on ESN for anomaly detection in industrial systems7
DEMD-IoT: a deep ensemble model for IoT malware detection using CNNs and network traffic7
A hybrid principal label space transformation-based ridge regression and decision tree for multi-label classification7
A combined grey multi criteria decision making model to evaluate public transportation systems7
Simultaneous feature selection and SVM optimization based on fuzzy signature and chaos GOA7
RVFLN-CDFPA: a random vector functional link neural network optimized using a chaotic differential flower pollination algorithm for day ahead Net Asset Value prediction7
A face recognition system based-ALMMo-0 classifier7
GAN-enhanced E-nose analysis: VTAAE for temporal dynamics in beef quality assessment7
Deep residual learning-based denoiser for medical X-ray images7
Regular development strategy model and algorithm solution of non-renewable resources6
Hunger games pattern search with elite opposite-based solution for solving complex engineering design problems6
Efficient cluster-based deep anomaly detection based traffic analysis and multi-objective optimization for smarter traffic control6
Enhancing CNN structure and learning through NSGA-II-based multi-objective optimization6
Online sequential ensembling of predictive fuzzy systems6
Evolving hyperbox fuzzy modeling6
Hunger games search based deep convolutional neural network for crop pest identification and classification with transfer learning6
Optimizing margin distribution for online multi-label classification6
Evolving knowledge representation learning with the dynamic asymmetric embedding model6
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