662 papers
This study investigates the electrical impedance and modulus properties of sintered fly ash, enhanced by bentonite addition, revealing its potential for use in electronic packaging and EMI shielding applications.
This study utilizes Taguchi-based Grey Relational Analysis to determine that turning Aluminium Alloy 075-T651 with a tungsten carbide insert at 820 rpm, 132 mm/min feed rate, 1.5 mm depth of cut, and 9% avocado oil-based cutting fluid yields an optimal surface roughness of 0.12 μm.
This study proposes an AI-driven telecommunication architecture that integrates skyborne base stations (UAVs, HAPs, and LEO satellites) with terrestrial networks using machine learning and advanced technologies like massive MIMO and blockchain, demonstrating significant improvements in network capacity, latency reduction, autonomous decision-making, and cybersecurity resilience for future 5G/6G systems.
This paper proposes a fault diagnosis method for water-based dynamic rodless oil pumping machines that optimizes ISOMAP parameters using a genetic algorithm to extract low-dimensional manifold features from nonlinear and non-stationary signals, achieving 94.44% diagnostic accuracy in identifying various fault modes.
This systematic review of 30 studies (2015–2025) analyzes design, control, and actuation strategies for soft robotic joints, comparing performance across pneumatic, tendon-driven, and smart material-based systems to identify trade-offs and establish priorities for future AI-optimized hybrid structures and clinical rehabilitation applications.
This paper proposes a novel safety indicator called Time Gap Safe Following Distance (TGFD) for vehicular networks, which enhances rear-end collision avoidance by integrating driver reaction, vehicle dynamics, and communication latency into a more robust safety margin than conventional models.
This study experimentally investigates the heat and mass transfer coefficients of thermoformed PVC evaporative media under various design and operating conditions, establishing their direct proportionality to air velocity and surface area while introducing a new dimensionless number to explain unequal transfer rates and proposing an energy-efficient design procedure to reduce CO2 emissions.
This study demonstrates that by optimizing friction shortening in Al/Cu friction-welded joints, it is possible to achieve a balance between high tensile reliability and controlled interfacial separability for recycling, as the fracture behavior is governed by the interplay of localized stress distribution and interfacial stress states during deformation.
This study integrates multi-scale analyses to demonstrate that the rock-to-coal height ratio critically governs the creep behavior of coal-rock composites, revealing that a 1:1 ratio offers optimal long-term stability and identifying a consistent failure stress threshold of approximately 90% of peak strength alongside a transition from shear- to tension-dominated cracking mechanisms as rock proportion increases.
This paper proposes a distribution-based residual monitoring framework that combines Canonical Correlation Analysis with nonparametric distance metrics (specifically Kantorovich Distance) and kernel density estimation to achieve highly effective, data-driven fault detection in multivariate chemical and wastewater systems using only fault-free training data.