Manifold-Constrained Hyper-Connections: The Architectural Breakthrough That Might Redefine LLM Training

If mHC scales the way early benchmarks suggest, it could reshape how we think about model capacity, compute budgets and the ...
IEEE

Interface-Engineered Hybrid Networks to Resolve the Trade-Off Between Sensitivity and Detection Range in Flexible Strain Sensors

Abstract: Flexible strain sensors with high sensitivity and a wide detection range are essential for next-generation healthcare and soft robotics. However, achieving a tradeoff between sensitivity and ...
IEEE

Innovative Neural Network Control for Unified Power Quality Conditioner in Photovoltaic Systems Enhancing Grid Stability and Energy Efficiency

Abstract: The integration of grid faces significant power quality challenges due to increasing use of power electronic devices and the integration of Distributed Energy Resources. It is essential to ...