598 papers
This paper proposes a theoretical framework for adapting established United Kingdom energy geostructure design practices to the seismic and geotechnical conditions of the Peruvian Andes, aiming to bridge the current lack of documented installations in Peru while outlining a pathway for the country's first pilot project.
This study evaluates AlphaEarth and TESSERA geospatial embeddings for burned area mapping in Portugal, finding that while TESSERA outperforms AlphaEarth and offers a scalable alternative by avoiding event-specific image differencing, a traditional Sentinel-2 spectral baseline remains the most accurate approach when suitable imagery and fire dates are available.
This paper synthesizes technical evidence and design methodologies from the Canadian CSA S500:21 standard to propose a quantitative adaptation protocol for implementing thermosyphon-regulated foundations in the Peruvian Andes, addressing specific climatic challenges to ensure infrastructure stability under climate change.
This paper proposes HOA-PWM, a hybrid metaheuristic combining Simulated Annealing and Particle Swarm Optimization to jointly optimize power allocation, task offloading, and scheduling in healthcare edge networks, demonstrating superior energy efficiency and system welfare compared to existing methods under realistic and stressful conditions.
This paper proposes a comparative Japan–Peru–United States framework that integrates adaptive base isolation with high-stiffness granular materials to develop a cost-effective, code-updating strategy for seismic-resistant foundations in Peru, supported by a systematic analysis of technical literature, current regulations, and proposed geotechnical equations.
This study demonstrates that a wearable force myography system combined with machine learning models can accurately estimate multi-planar ankle joint angles during dynamic gait, offering a cost-effective and practical alternative to traditional optical motion capture for controlling assistive devices.
This study presents an Arduino-based analog classroom system that effectively simulates and teaches the automation mechanisms of water table management in drainage engineering through real-time sensor data, automated control, and visual data logging.
This paper introduces a subspace overlap metric to predict the feasibility of exploiting MMSE equalization residuals for sensing in OFDM ISAC systems, demonstrating that a proposed K–R approach significantly outperforms baselines when the overlap between residual and target subspaces is sufficiently low.
This paper proposes a new hybrid DE-GWO algorithm combined with a Search Space Reduction strategy to solve the non-convex AC Transmission Expansion Planning problem for large-scale systems, demonstrating improved optimality and robustness over existing methods in IEEE test systems.
This paper presents a large-scale weakly supervised machine learning framework that analyzes global telemetry from 500 vaccine refrigerators to jointly quantify human operational behaviors and thermal responses, enabling the accurate detection of six interpretable anomaly categories that compromise cold-chain integrity.