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Theoretical Study of the Structural, Optoelectronic, and Reactivity Properties of N-[5′-Methyl-3′-Isoxasolyl]-N-[(E)-1-(-2-)]Methylidene] Amine and Some of Its Fe2+, Co2+, Ni2+, Cu...
Published 2022-01-01“…Herein, we report the structural, electronic, and charge transfer properties of N-[5′-methyl-3′-isoxasolyl]-N-[(E)-1-(-2-thiophene)] methylidene] amine (L) and its Fe2+, Co2+, Ni2+, Cu2+, and Zn2+ complexes (dubbed A, B, C, D, and E, respectively) using the density functional theory (DFT). …”
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Multi-Objective Clustering Based on Congestion Games With Player-Specific Cost Functions
Published 2025-01-01“…This clustering model is solved using the Nash equilibrium as the solution concept, which can be computed in polynomial time, thereby ensuring favourable computational complexity for the proposed algorithm, MOCA-II. …”
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Allocation Strategy Optimization Using Repulsion-Enhanced Quantum Particle Swarm Optimization for Multi-AUV Systems
Published 2024-12-01“…This method not only resolves the complexities of Nash equilibrium computation but also overcomes the limitations of traditional optimization methods that often converge to local optima. …”
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589
INFORMATION TECHNOLOGIES IN OPTIMIZING SCIENTIFIC RESEARCH IN THE SPHERE OF THEORETICAL AND APPLIED LINGUISTICS IN THE DIGITAL AGE
Published 2022-02-01“…The scientific novelty of the research is seen in the complex and systematic approach to the problem of analysis of the linguistic scientific workflow in the context of free and open source software which does not require commercial licensing. …”
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EG-VAN: A Global and Local Attention-Based Dual-Branch Ensemble Network With Advanced Color Balancing for Multi-Class Skin Cancer Recognition
Published 2025-01-01“…Despite their sophistication, existing methods struggle to generalize well across diverse cases, and their computational complexity often limits real-world applicability. …”
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Advanced Machine Learning Methods for the Prediction of the Optical Parameters of Tellurite Glasses
Published 2025-05-01Get full text
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Synergistic Multi-Granularity Rough Attention UNet for Polyp Segmentation
Published 2025-03-01“…Extensive experiments on the ColonDB and CVC-300 datasets demonstrate that S-MGRAUNet significantly outperforms existing methods while achieving competitive results on the Kvasir-SEG and ClinicDB datasets, validating its segmentation accuracy, robustness, and generalization capability, all while effectively reducing computational complexity. This study highlights the value of multi-granularity feature extraction and attention mechanisms, providing new insights and practical guidance for advancing multi-granularity theories in medical image segmentation.…”
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Early prediction of CKD from time series data using adaptive PSO optimized echo state networks
Published 2025-02-01“…To address this, APSO optimizes these hyperparameters dynamically, ensuring a balanced trade-off between stability and computational efficiency. Moreover, Random Matrix Theory (RMT) is integrated into APSO to regulate the spectral radius, enhancing the ESN’s capability to handle long-term dependencies while maintaining stability in training. …”
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REACH: Extending reality for distributed collaborative making
Published 2025-12-01Get full text
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Driving brain state transitions via Adaptive Local Energy Control Model
Published 2025-02-01Get full text
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