Using Support Vector Machines to Classify Road Surface Conditions to Promote Safe Driving. [PDF]
Moon J, Park W.
europepmc +1 more source
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Modeling health outcomes of air pollution in the Middle East by using support vector machines and neural networks. [PDF]
Ayesha +6 more
europepmc +1 more source
A flexible piezoresistive pressure sensor with gradient toroidal CNT/PDMS microstructures is reported. The hierarchical geometry enables sequential electrode contact, achieving a sensitivity of 256.20 kPa−1 and linear response (R2 = 0.99) over 0–1000 kPa.
Rongmei Wang +8 more
wiley +1 more source
Predictive Study on the Occurrence of Wheat Blossom Midges Based on Gene Expression Programming with Support Vector Machines. [PDF]
Li Y +6 more
europepmc +1 more source
Evolution of OLED Lamination Technology With Development of Display Form Factors
This review evaluates the evolution of organic light‐emitting diode (OLED) lamination technologies alongside advancing display form factors. It contrasts optically clear adhesives and resins, highlighting uniformity control for rigid screens, bubble‐free optimization for bended architectures, and visible‐light curing for foldable layers.
Kwan‐Young Han, Ji‐Hoon Park
wiley +1 more source
Advanced Manufacturing of Composite‐Based Systems for Energy Applications
Advanced manufacturing enables the integration of polymers, ceramics, metal oxides, and composites into architected microstructures with tailored transport pathways. By coupling material selection, manufacturing strategy, and structural design, multifunctional energy systems can simultaneously improve electrochemical performance, thermal management ...
Sri Vaishnavi Thummalapalli +13 more
wiley +1 more source
An optimal method for diagnosing heart disease using combination of grasshopper evalutionary algorithm and support vector machines. [PDF]
Zhou W, Liu H, Zhou R, Li J, Ahmadi S.
europepmc +1 more source
A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn +2 more
wiley +1 more source
Cochleogram-Based Speech Emotion Recognition with the Cascade of Asymmetric Resonators with Fast-Acting Compression Using Time-Distributed Convolutional Long Short-Term Memory and Support Vector Machines. [PDF]
Parlak C.
europepmc +1 more source

