598 papers
This study demonstrates that combining cross-linked biopolymers (xanthan gum and starch) with fiber reinforcement significantly enhances the compressive strength and ductility of sandy soil, outperforming conventional cement-treated soil while offering a more sustainable alternative.
This study develops the "Mobility C3" digital platform to assess motor vehicle CO₂ emissions, finding that the NEDC and WLTP testing procedures offer greater accuracy than the GHG Protocol for improving emission accounting and carbon market mechanisms.
This study demonstrates that adding titanium dioxide nanoparticles to a mango seed biodiesel-butanol-diesel ternary blend improves hydrocarbon emissions and thermal efficiency at specific concentrations, although it results in increased brake specific fuel consumption and nitrogen oxide emissions compared to conventional diesel.
This paper presents the design and preliminary validation of a novel dry laboratory apparatus that replicates real-time knee arthroscopic kinematics and tracking conditions to provide a reproducible, regulatory-informed framework for evaluating AI algorithms prior to clinical deployment, thereby bridging the gap between offline dataset benchmarking and cadaveric studies.
This paper evaluates and identifies optimal sampling strategies for inspecting quarter, half, and three-quarter partial circles by using Monte Carlo simulations to analyze the uncertainties in radius and center coordinates across various point distributions ranging from three to seven points.
Surgical Vision ROS2 is a ROS2 Humble pipeline that assesses intraoperative wounds using an ABCDE framework to dynamically adjust a MoveIt2-controlled arm's autonomy level, achieving a significant accuracy improvement from 6.7% to 64.4% by replacing grayscale adaptive-threshold segmentation with HSV colour-distance segmentation.
This paper proposes and evaluates a Deep Reinforcement Learning framework based on Proximal Policy Optimization that, through simulation, demonstrates significant improvements in fragmentation uniformity and vibration control for Kazakh copper megapits while outlining the technical and regulatory conditions required for its transferability to Peruvian mining operations and urban public spaces.
This paper presents a BIM-based stochastic optimization model that integrates spatial topology analysis and Monte Carlo simulation to quantitatively reduce MEP conflicts and rework costs in large-scale commercial complexes, thereby significantly improving investment efficiency and return on investment.
This paper evaluates the transferability of South African LiDAR-guided reef-boring robotics to Peru, concluding that while the specific narrow-reef hardware requires significant redesign due to geological differences, the underlying LiDAR-SLAM navigation core is a mature, high-priority technology for adoption in Peruvian underground mining and urban subsurface infrastructure.
This paper synthesizes evidence on excavator-mounted in-situ spectral classification for selective nickel-laterite mining, proposing a technical framework for its validation in Indonesia and assessing its potential transfer to Peruvian copper operations and post-mining public-space redevelopment.