IEEE

Prediction of the Compressive Strength of Alkali-Activated Mortar for Block-Work Binders Using Adaptive Neuro-Fuzzy Inference System

Abstract: This study employs an Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict the compressive strength of alkali-activated mortars (AAMs) designed for blockwork applications. The model, ...
blockchain

AI Inference Costs Drop 40% With New GPU Optimization Tactics

Together AI reveals production-tested techniques cutting inference latency by 50-100ms while reducing per-token costs up to 5x through quantization and smart decoding. Running AI models in production ...
IEEE

Integrated Additive Manufacturing Trajectory Control and Repair Management for Spiral Bevel Gear Using Fractional-Order PID and Adaptive Fuzzy Neural Inference System

Abstract: Design optimization of mechanical system components, such as spiral bevel gears, is important due to their complex geometry and design constraints. However, the complex geometry of these ...