1663 papers
This paper presents a real-time, short-horizon predictive navigation framework for UAVs in highly dynamic 3D environments that utilizes frame-by-frame multi-criteria optimization and hardware acceleration to ensure safe, stable path planning without relying on long-term planning.
This paper proposes an adaptive fuzzy PID control system integrated with a real-time binocular stereo vision workflow to achieve sub-millimeter needle tip tracking and significantly improve the targeting accuracy of breast intervention robots for clinical applications.
This paper presents a low-latency, real-time FPGA implementation of an IMU/GPS Extended Kalman Filter for inertial navigation, achieved by optimizing a reduced 16-state model through High-Level Synthesis on a Xilinx Kintex-7 platform to deliver high-precision estimation with minimal resource utilization.
This paper proposes a high-precision two-dimensional defect localization and quantification method for steel-cord conveyor belts that overcomes traditional one-dimensional limitations by integrating orthogonal scanning with a signal processing algorithm combining reference differentiation and Gaussian fitting to achieve sub-millimeter positioning accuracy and 100% defect count matching.
This paper provides a systematic comparative analysis of Ethiopia's concrete design standards, EBCS-2:1995 and ES EN 1992-1-1:2013, highlighting key modifications in approximately 10–20% of provisions, the introduction of new structural concepts, and the shift toward a more economical, less prescriptive framework better suited for modern software-based design.
This study proposes a digital twin-driven multi-objective optimization framework that leverages diffusion-inspired noise perturbation for sample augmentation and Bayesian optimization to efficiently identify Pareto-optimal milling parameters balancing machining time, cutting force, and surface quality under small-sample conditions.
This study proposes a modified Mohr-Coulomb criterion and a dynamic fault slip risk coefficient () to evaluate mining-induced fault stability, revealing that high dip angles and large lateral pressure coefficients significantly increase slip hazards through physical simulations and FLAC3D modeling.
This paper presents a low-cost, mobile IoT system utilizing an ESP32 microcontroller with gas and environmental sensors to enable real-time classification of food freshness and remote monitoring via the Blynk platform, demonstrating its effectiveness in detecting spoilage and reducing food waste to support UN Sustainable Development Goals.
This study demonstrates that a photovoltaic-driven electric induction cooking system, despite lower energy efficiency than a conventional LPG stove, offers superior long-term sustainability through significantly lower operating costs, higher exergy efficiency, and substantial CO₂ emission reductions in Indian climatic conditions.
This paper proposes a parameterized Physics-Informed Neural Network (P2INN) framework that significantly accelerates the design and optimization of multilayered static linear elastic materials by serving as a lightweight, high-accuracy alternative to traditional Finite Element Methods, achieving near-5% worst-case volume error targets while drastically reducing computational costs.