Evolving Systems

Papers
(The H4-Index of Evolving Systems is 20. 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 2021-10-01 to 2025-10-01.)
ArticleCitations
Non-overlapping spectrum resources: enhancing video quality transmission with FDR-CK algorithm188
A boosted sine cosine algorithm with dimension learning-based search and terminal replacement mechanism for optimization and engineering applications88
Parameter estimation based IIR system identification using improved arithmetic optimization algorithm83
PolyNet-FractalNet deep feature fusion framework with modified spider monkey optimization for multi-modal biometric recognition59
Design of efficient Wiener spline adaptive filter for electrocardiogram signal enrichment52
Optimizing parameter settings for hopfield neural networks using reinforcement learning48
Optimized deep learning approach for automated fault diagnosis in mobile robot used for fire-fighting application46
CRCNet: convolutional multi-layer perceptron encoder with attention module for colorectal cancer segmentation43
An evolving approach to the similarity-based modeling for online clustering in non-stationary environments43
HDTN: hybrid duo-transformer network for liver and hepatic tumor segmentation in CT images41
Time series anomaly detection via clustering-based representation36
Hybrid self-attention NEAT: a novel evolutionary self-attention approach to improve the NEAT algorithm in high dimensional inputs33
Deep learning-based compression and encryption of CT images for secure telemedicine applications27
Multi-objective optimization of portfolio selection involving non-convex attributes in an anti-fragile perspective26
An autonomous centreless approach to chunk-wise data partitioning25
Reducing the number of trees in a forest using noisy features25
Neuro-swarm intelligence to study mosquito dispersal system in a heterogeneous atmosphere23
Efficient malware detection based on machine learning for enhanced cloud privacy protection22
Empirical mode decomposition-based biometric identification using GRU and LSTM deep neural networks on ECG signals22
Batch-enabled randomized parameter tuning for improved metaheuristic performance22
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