662 papers
This paper presents a cost-effective, intelligent robotic walker prototype that utilizes sensor fusion and efficient actuation to achieve high-accuracy obstacle detection and autonomous navigation, significantly enhancing mobility independence for elderly users.
This paper presents a co-simulation framework using MSC ADAMS and MATLAB to model a 3-DOF serial manipulator and demonstrates that an adaptive Fuzzy-PID controller significantly outperforms a conventional PID controller by drastically reducing tracking error, overshoot, and settling time while maintaining high positioning accuracy.
This paper presents EarthSentinel, an open-data web platform that integrates fragmented satellite and seismic data from major agencies into a unified interface while providing descriptive statistical tools for exploratory analysis, explicitly avoiding claims of predictive earthquake forecasting.
This paper proposes a hybrid spectral-geometric neural architecture that combines convolutional networks with spectral methods and physics-informed constraints to achieve a 414.9x acceleration in 2D fluid simulations over traditional solvers while maintaining high physical accuracy on complex, irregular boundaries.
This paper presents a dual-layer architecture combining MWCNT-enhanced self-sensing concrete with embedded IoT networks to enable accurate, continuous seismic structural health monitoring in smart cities, demonstrating high correlation with conventional sensors and compliance with Peru's seismic codes.
This paper derives the nonlinear dynamics of a triple inverted pendulum on a cart using the Euler–Lagrange method, designs a Linear Quadratic Regulator (LQR) controller to stabilize the system around its upright equilibrium, and validates its robust performance through extensive numerical simulations and parametric sensitivity analyses.
This study demonstrates that the Pyramidal Lucas–Kanade sparse optical flow algorithm, optimized with a specific search window size and Shi–Tomasi feature detection, can accurately reconstruct physiologically consistent 2D velocity fields from cardiac cine-MRI data to assess Abdominal Aortic Aneurysm hemodynamics.
This paper presents a fully automated, open-source pipeline that combines U-Net segmentation and dense optical flow to enable accurate, near real-time mapping of circumferential strain in abdominal aortic aneurysms, effectively overcoming the limitations of manual delineation and sparse feature tracking.
This study presents a highly accurate single-variable regression model based on the natural logarithm of electrical conductivity to predict phosphate concentrations in ammonia–phosphate treated drum water systems, offering a simplified and reliable tool for real-time boiler water quality management without the need for stream-specific adjustments.
This numerical simulation study demonstrates that in a heterogeneous Niger Delta sandstone reservoir, ASP flooding significantly outperforms conventional waterflooding, with the staggered-line well pattern yielding the highest recovery factor of 73.33% and cumulative oil production of 20.55 MMSTB, thereby highlighting the critical importance of well-pattern optimization for maximizing chemical EOR performance.