Focal Interest
Focal Interest

Robustness (evolution)

  1. Optimizing integrated energy systems with a virtual energy station framework: Exergy-based scheduling and multi-energy integration
    Bi-level exergy-based optimization for integrated energy systems incorporating electricity, heat, gas, and hydrogen with improved metaheuristic scheduling algorithm.
  2. Hybrid model ranks order pickers and allocates bonuses
    Study develops hybrid DEA-SWARA-COPRAS model for evaluating order picker efficiency and allocating performance bonuses in e-commerce fulfillment operations.
  3. CORE: Data Augmentation for Link Prediction via Information Bottleneck
    CORE applies Information Bottleneck principles to augment graph data for link prediction, simultaneously recovering missing edges and reducing noise to enhance model robustness.
  4. Government effectiveness is linked to higher logistics performance
    Cross-country panel analysis demonstrates government effectiveness as a stable predictor of national logistics performance, independent of income and trade levels, across 138 countries 2007-2018.
  5. Female labor participation is not automatically linked to sustainability gains
    Comparative analysis of female labor-force participation and sustainable development across G7 and E7 economies (1990-2022), revealing heterogeneous relationships conditional on structural conditions.
  6. Quantification of Craniofacial Growth Pattern Based on Deep Learning
    Deep learning framework quantifies craniofacial growth patterns and sexual dimorphism from cephalometric radiographs using automated feature extraction and saliency mapping without manual annotation.
  7. UAE-specific crises produced negative firm returns; global crises often positive
    Study examines how global and domestic crises impact UAE financial markets using STL decomposition, revealing asymmetric responses across firm characteristics and event categories.
  8. Hybrid scheduling algorithm cuts pharmaceutical production costs
    Improved particle swarm optimization algorithm reduces pharmaceutical manufacturing costs by 6.3% through enhanced scheduling efficiency, improving equipment utilization and delivery rates.
  9. Two-step SAR ADC reduces capacitance and power
    12-bit, 10 MS/s two-step sub-ranging SAR ADC with top-plate dividing architecture for residue amplification, achieving 65.7 dB SNDR and 14.5 fJ/conversion-step FoM in 65 nm CMOS.
  10. Market-capitalization regret variables predict future stock returns
    Study reveals market capitalization as a key psychological reference point for investor regret, with stronger predictive power for stock returns than traditional return-based regret measures in.
  11. AGENT improved makespan in heterogeneous cloud task allocation
    AGENT framework improves task allocation in cloud systems using elitism-guided genetic algorithm with adaptive parameters, achieving 3-29% makespan improvements for heterogeneous VM scheduling.
  12. L-DCS improved visibility in dense rock art scenes
    Localised decorrelation stretch enhances visibility of rock art in dense scenes through automated windowed colour stretching, improving upon global DStretch methods for archaeological documentation.
  13. Molecular markers improved garlic characterization and conservation
    Explore how molecular markers advance garlic genetic characterization and conservation, from early markers to high-resolution platforms enabling cultivar identification and breeding innovation.