Evolving Systems

Papers
(The H4-Index of Evolving Systems is 21. 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
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
An autonomous centreless approach to chunk-wise data partitioning35
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
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