AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Results demonstrate the viability of adaptive digital twins for next-generation EVs with autonomous charging and multi-source architectures.
Proton exchange membrane fuel cell (PEMFC) systems typically generate low-voltage and high-current DC power, requiring a step-up converter interface for electric vehicle (EV) and DC microgrid applications. In addition, excessive current ripple and rapid transient loading conditions may increase electrical and thermal s...
An Adaptive Curvature-Aware MPC framework optimized through a hybrid Bayesian Optimization–Tree-structured Parzen Estimator (BO–TPE) approach to automatically identify optimal MPC parameters while accounting for upcoming road curvature is proposed.
This paper proposes an integrated framework for investment portfolio optimization that combines gradient boosting prediction models (LightGBM), volatility forecasting via the Heterogeneous Autoregressive Realized Volatility model (HAR-RV), market regime detection via Hidden Markov Models (HMM), and reinforcement learni...
Cyber-physical energy systems rely on digital measurements, state estimation, and learning-assisted monitoring, yet these layers are vulnerable to stealthy false data injection attacks that can distort operator awareness without triggering residual alarms. This paper presents a physics-constrained deep generative frame...
In recent years, acoustic signal analysis has emerged as a promising approach for fault detection in electromechanical systems, providing a non-invasive, low-cost, and real-time alternative to traditional monitoring techniques. This paper presents the design and implementation of a low-cost embedded system for acoustic...
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