1592 papers
This paper proposes a dual-layer optimization model for an integrated wind-solar-thermal system that couples ammonia-doped thermal power units with power-to-ammonia conversion to significantly reduce operational costs, improve renewable energy utilization, and enhance system safety and stability.
This paper proposes an end-to-end collaborative framework integrating physics-informed neural networks, graph attention networks, and deep reinforcement learning to simultaneously enhance wind farm wake prediction accuracy and optimize turbine layouts, achieving significant reductions in wake losses and inference time while maintaining physical consistency and scalability.
This paper presents the design, implementation, and bench-scale evaluation of an affordable, IoT-enabled smart bed for elderly care that integrates multi-sensor monitoring, automated fall detection with GSM alerts, and remote data visualization via MQTT, demonstrating functional viability and high user interest despite the need for further clinical validation.
This paper presents OpenADSB-Out, a low-cost, certification-oriented ADS-B Out architecture using commercial off-the-shelf components that achieves deterministic timing, robust fault management, and validated encoding accuracy while requiring only minimal additions to meet formal DO-260B compliance standards.
This study proposes the "Living Wetland Foundation," a nature-based architectural model that integrates wooden pile structures with ecological hydrological systems to maintain groundwater saturation and ensure foundation durability in rapidly urbanizing tropical swamplands.
This study proposes an integrated framework combining a nonlinear multiphysics model, parameter identification via UV-DSC, and an MLP-assisted nonlinear model predictive control strategy to significantly improve curing uniformity, prediction accuracy, and warpage control in DLP-based vat photopolymerization additive manufacturing.
This paper demonstrates that the carbon benefit of cement substitution is not a fixed per-kilogram metric but a strength-dependent property that diminishes with higher concrete grades, ultimately establishing a specific break-even point where substitution becomes counterproductive and requiring the inclusion of strength class and confidence levels for valid carbon-reduction claims.
This paper proposes a predictive robust physical-layer security design for STAR-RIS-assisted V2I networks that jointly optimizes transmit beamforming and RIS coefficients to maximize secrecy sum-rate under mobility-induced channel aging by modeling CSI uncertainty via a Gauss-Markov process and solving the resulting non-convex problem through an alternating-optimization framework.
This paper proposes a novel aero-engine remaining useful life prediction method, DAI-DEQ, which integrates degradation alignment, deep equilibrium networks, and domain adaptation to effectively address domain distribution shifts, gradient vanishing, and generalization issues, achieving superior accuracy and stability across both intra-domain and cross-domain scenarios.
This narrative review synthesizes 30 peer-reviewed studies to compare the effectiveness of various adaptive control methods, such as MRAC and FOPID, against conventional fixed-gain controllers for mitigating power quality issues in renewable-rich grids, while advocating for future research into physics-embedded data-driven methodologies.