Journal

International Journal of Computational Intelligence Systems

1875-6883 · Springer Science and Business Media LLC

31 verified public works

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Chaos-Enhanced Prototypical Networks for Few-Shot Medical Image Classification

2026 · 0 citations

An Adaptive Multi-Objective Particle Swarm Optimization Algorithm Based on Capacity-Driven Dual-Archive

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ALIAN: Accurate Localization by Improved Bat Search Algorithm with DV-hop in Wireless Sensor Networks

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Character-level Perturbations in Software Requirements : Evaluating Transformer Models Robustness Across Learning Paradigms and Classification Tasks

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Pre-Processing of Computed Tomography for Liver Tumor Segmentation using Multiscale Residual Learnable Shuffle Attention V-Net

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An Interpretable Exercise Recommendation System Combining Semantic Enhancement and Cognitive Forgetting Modeling

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DeepBreastNet: Multi-Modal Deep Learning for Comprehensive Breast Cancer Diagnosis Across Heterogeneous Imaging Modalities

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An Intelligent Deep Reinforcement Learning Framework for Cost-Efficient and Energy-Aware Cloud Resource Management

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Federated Learning Applications for Cross Cultural Communication Analysis Through Privacy Preserving Integration of Linguistic and Paralinguistic Feature Extraction

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A Novel Ensemble Deep Learning Framework and Feature Extraction for Diabetic Retinopathy Detection in the Internet of Things Environment

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Enhancing Video Captioning with Global Transformer and Beetle Optimization Techniques

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Impact of Adversarial Attacks on Robust Cancer Detection in Medical Images using Improved Optimization-based Adaptive Multi-Scale ShuffleNetV2

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Precise Recognition and Evaluation of Men’s Long Jump Based on Transformer and 3D Convolution

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Artificial Intelligence-Driven Sensor Network Approach for Optimizing Halted Product Delivery in E-Commerce Platforms

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Bayesian Survival Analysis of Lung Cancer Data under Uncertainty: A Fuzzy Environment Approach

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A Hybrid Recommendation Framework Leveraging User Community Detection and Latent Feature Extraction for Improved Personalized Recommendations

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Enhancing Cybersecurity in Smart High-Performance Computing Systems Using Graph-Temporal Deep Learning and Hybrid Optimization

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Reinforcement Learning-based Constant Flux Control of Membrane Filtration Process

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A Small–Large Model Collaborative Framework for Safety-Constrained and Interpretable Rail Replacement Decision-Making in Heavy-Haul Railways

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Advancing Alzheimer’s Disease Prediction with Optimized Deep and Active Learning Approaches

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Interval-Based Solar Radiation Forecasting Using Information Granules and Machine Learning Approaches

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EBRB–LLM Hybrid Architectures for Trustworthy Agentic AI: Vision, Opportunities, and Challenges

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Gradient-Complementary Asynchronous Federated Learning for Multi-Task Anomaly Detection in Smart Grid

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A Novel Decision Model for Surgical Robot Selection Based on the Bipolar Fuzzy Z-number

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A Decision Support Model for Artificial Intelligence-Based Solid Waste Management Through CRITIC-TOPSIS and Complex Fermatean Fuzzy Structure

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Weather-resilient Object Detection Framework for Autonomous Vehicles Using Conditional Preprocessing and YOLOv8

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Enduring Heterogeneous Cooperative Embodied-agent Control: Long-sequence Task Collaboration via Reinforcement Fine-tuning

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TACDAR: Tetra Alzheimer Disease Classification via Dilated Coordinate Attention Based RegNet

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FLAME-IoT: Federated Learning with Adaptive Model Evolution for Smart City Industrial IoT Anomaly Detection

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A Hybrid Advanced Narrow AI Framework for Scalable Apparel Fit Prediction Using Modular DNN and Interpretable Attention-Driven TabNet

2026 · 0 citations