1663 papers
This study investigates the machinability of Nimonic 90 under MQL, ionic liquid-based MQL, and cryogenic LN₂ conditions, demonstrating that cryogenic cooling yields superior surface finish and tool wear while an XGBoost machine learning model effectively predicts surface roughness with high accuracy.
This paper proposes a hardware-reconfigurable, secure data acquisition system that utilizes a novel algorithm to automatically configure a shared ADC for heterogeneous multi-channel inputs, achieving 100% utilization and utility while integrating a high-speed, low-resource AES-256 encryption core to ensure data privacy for applications like medical diagnostics.
Inspired by dragonfly compound eyes, the proposed Dragonfly-TeraVision system integrates panoramic vision, LiDAR, and monostatic terahertz sensing within a task-driven architecture to reconstruct physically interpretable 3D environments by fusing visual semantics, metric geometry, and material-sensitive propagation data.
This paper proposes a comprehensive framework to extend Building Information Modelling (BIM) beyond design coordination into an integrated project controls system for Saudi Arabia's Vision 2030 giga-projects, addressing key barriers like skills shortages and data fragmentation to enhance cost, schedule, and quality management.
This paper presents an optoelectronic Ising machine that reformulates maximum-likelihood sequence estimation as an energy-minimization problem, enabling high-speed, low-error-rate data transmission over bandwidth-limited optical interconnects by offloading computationally expensive sequence searches to physical evolution.
This study proposes a modernized mechanical engineering laboratory framework that bridges the gap between theoretical thermodynamics and practical application by integrating classical heat transfer experiments with machine learning surrogate models and mobile computational tools to enhance student comprehension of non-ideal system behaviors.
This paper proposes a two-stage Time-Varying Polarization Adaptive Filtering (TPAF) algorithm, combining variable-step-size momentum adaptive filtering with a multi-constraint polarization correction autoencoder, to effectively mitigate time-varying amplitude and phase errors in dual-channel polarization diversity reception systems.
This paper proposes a multimodal transformer framework that integrates sky cloud images and numerical sequences through state-aware adaptive fusion to significantly enhance the accuracy and robustness of ultra-short-term solar irradiance forecasting.
This paper proposes a geometry-conditioned guided denoising diffusion probabilistic model that generates physically plausible, subject-specific Lagrangian particle trajectories in human airways by encoding airway anatomy via a variational autoencoder and enforcing geometric feasibility through signed distance function guidance, thereby overcoming the computational and preprocessing limitations of traditional simulations despite being trained on a limited dataset.
This study demonstrates that in Al/Ti refill friction stir spot welded joints, a 6-second dwell time optimizes tensile-shear failure load to 6.39 kN by balancing the formation of a TiAl3 diffusion layer against the detrimental effects of grain coarsening and intermetallic particle-induced crack propagation.