1663 papers
This paper proposes a four-layer cloud-based decision support system architecture to transform traditional flight dispatch operations, demonstrating significant gains in scalability, resilience, and collaborative efficiency while addressing critical challenges related to data sovereignty, cybersecurity, and regulatory adaptation.
This study presents an AI-driven, bio-inspired robotic arm featuring topology-optimized lattice structures and variable-stiffness joints that achieves a 41% mass reduction while maintaining high precision and dynamic performance for industrial manipulation.
This study employs a novel SHAP-attributed Explainable-AI framework across three major Iraqi construction projects to empirically demonstrate that payment delays are the dominant predictor of schedule overruns, thereby providing the first evidence-based justification for prioritizing procurement reforms in Iraq's public construction sector.
This paper presents an experimental study using a physical simulation system and advanced pressure sensors to analyze how drilling and reaming with different diameters influence stress field evolution and overlying strata pressure in coal bodies, providing a basis for optimizing pressure relief schemes in deep, high-stress mines.
This study demonstrates that atmospheric water electrolysis, specifically using a Direct Air Electrolyzer with a hygroscopic H₂SO₄ electrolyte, offers a viable, water-independent pathway for decentralized green hydrogen production in arid environments like the MENA region, achieving a lower levelized cost of hydrogen (approximately 5.8 USD·kg⁻¹) compared to hybrid dehumidification systems despite operating under extreme low-humidity conditions.
This paper proposes an enhanced AODV routing protocol for VANETs that utilizes a neural network-based Link State Estimation (LSENN) model and physical-layer metrics to classify link states, thereby improving packet delivery and reducing delay in low-to-medium density scenarios despite limitations in high-density environments.
This paper presents OpenSpine-MP, a constrained motion-planning framework that ensures safe, collision-free transitions and ergonomic tool access for robot-assisted minimally invasive spine surgery, achieving high planning success rates and sub-millimeter accuracy validated through extensive simulations and cadaveric studies.
This study develops and validates a finite element model for nanosecond pulsed laser cleaning of oxide films on TA15 titanium alloy, identifying optimal process parameters (200 W power, 10 kHz repetition rate, 3000 mm/s scanning speed, and 7.5 mm/s cleaning speed) while highlighting the potential of high laser fluence to induce periodic microstructures for surface engineering applications.
This paper presents a direct–indirect homotopic method that solves a fuel-optimal low-thrust transfer from a distant retrograde orbit to a near-rectilinear halo orbit in the Earth–Moon system by using a smooth energy-optimal solution to initialize and guide an indirect shooting formulation through a homotopy parameter.
This study analyzes RDII dynamics in the coastal Lagoa da Conceição sewer system, revealing that downstream boundary conditions like lake levels significantly influence hydrograph timing and magnitude at certain pump stations, thereby demonstrating the necessity of tailoring RTK parameters to local backwater effects rather than relying on generic values.