1663 papers
To address the performance degradation of deep learning-based seismic phase picking caused by label imbalance, this paper proposes an area-weighted soft cross-entropy loss function that enhances model sensitivity and event recovery in continuous waveform analysis without altering the underlying network architecture.
This paper presents the design, laboratory characterization, and 14-month field deployment of a novel three-channel electrostatic monitor capable of simultaneously measuring TSP, PM10, and PM2.5 in real-time within deep open-pit mining environments, while highlighting its operational durability and specific calibration challenges related to mine dust size distributions.
This paper presents a systematic bifurcation analysis of a rear-wheel-drive vehicle using a differentiable tyre model to identify stability boundaries and classify three distinct operating regimes—stable handling, steering-direction drifting, and counter-steering drifting—characterized by Hopf, fold, and cusp bifurcations that are critical for designing electronic stability control and autonomous vehicle safety envelopes.
This paper presents an integrated real-time testbed within MATLAB/Simulink that enables rapid prototyping and experimental evaluation of a two-link single-legged hopper, successfully demonstrating forward hopping at speeds up to 1.59 m/s while validating a phase-dependent controller and documenting key hardware-model discrepancies.
This study demonstrates that while saline pore fluid conditions consistently reduce pore sizes in illite-dominant and illite-smectite clays due to double-layer compression, one-dimensional loading and unloading induce only partial and non-symmetrical recovery of pore shape and size, leaving overconsolidated specimens with smaller, more elongated, and less circular pores than normally consolidated ones regardless of fluid chemistry.
This state-of-the-art review synthesizes experimental, numerical, and analytical research on cold-formed steel and timber composite structures, highlighting significant performance gains in shear connection mechanics and flexural behavior under ambient loads, enhanced fire resistance through protective measures and partial shear connections, and identifying critical knowledge gaps to guide future sustainable mid-rise construction.
This paper introduces a topology-free, model-agnostic framework utilizing structural and spectral critical slowing down observables to independently verify the physical stability of grid-AI outputs, thereby addressing reliability risks in renewable-rich power systems where traditional dynamic separation checks are absent.
This paper presents a mathematically grounded simulation framework for secure autonomous drone swarms that integrates AES-256-GCM encryption, Ed25519-signed ledgers, and acoustic source localization, revealing that while the system achieves high precision under ideal conditions, residual fit metrics alone are insufficient for safety in noisy or latency-compromised environments, thus necessitating a staged validation path toward physical deployment.
This study proposes a multi-objective optimization model integrating Electric Vehicles into hybrid renewable energy systems via Vehicle-to-Grid technology, demonstrating through simulations that this approach significantly enhances system stability, renewable utilization, and cost efficiency.
This study demonstrates that optimizing laser-induced microtextures on cemented carbide turning tools significantly reduces cutting forces and tool wear while improving surface finish, offering a sustainable strategy for enhancing machining efficiency through a combination of Taguchi design, response surface methodology, and experimental validation.