Results 71 to 80 of about 20,937 (267)
Research of speaker recognition system based on GMM-SVM
Gong-kuang zidonghua, 2014 According to the similarity of speech data of the same type and characteristic that data of different types has different geometrical distance, the paper proposed a speaker recognition system based on SVM-GMM.
ZHAO Lihui +3 more
doaj +1 more source
Thickness‐Dependent Infrared Emissivity of Ultrathin Freestanding MoSiN Nanocomposite Membranes
Advanced Optical Materials, EarlyView.ABSTRACT Metals and dielectrics show opposite trends in thickness‐dependent infrared emissivity: metallic films exhibit a rise in emissivity below a critical thickness, while dielectric films show a corresponding decline. For applications demanding both high emissivity and mechanical strength in membranes with nanoscale thickness, combining these ...
Reethu Sebastian +3 more
wiley +1 more source
How Does Transparency Affect Bank Risk and Performance? Evidence from Turkey
Problemy Zarządzania, 2022 Purpose: The main objective of this study is to investigate the effect of transparency on the performance of banks, which are among the most important units of the financial sector.
Meryem Şahan +2 more
doaj +1 more source
Advanced Robotics Research, EarlyView.This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
Efficient Deep Learning of GMMs
CoRR, 2019 We show that a collection of Gaussian mixture models (GMMs) in $R^{n}$ can be optimally classified using $O(n)$ neurons in a neural network with two hidden layers (deep neural network), whereas in contrast, a neural network with a single hidden layer (shallow neural network) would require at least $O(\exp(n))$ neurons or possibly exponentially large ...
Shirin Jalali +2 more
openaire +2 more sources
Advanced Robotics Research, EarlyView.Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
Interpolation on the Manifold of K Component GMMs [PDF]
2015 IEEE International Conference on Computer Vision (ICCV), 2015 Probability density functions (PDFs) are fundamental objects in mathematics with numerous applications in computer vision, machine learning and medical imaging. The feasibility of basic operations such as computing the distance between two PDFs and estimating a mean of a set of PDFs is a direct function of the representation we choose to work with.
Hyunwoo J. Kim +4 more
openaire +2 more sources
Ultra‐Low Intensity Continuous Wave Laser Ablation Propulsion With Graphene‐Engineered Wood
Advanced Science, EarlyView.Graphene delignified wood converts continuous wave laser energy into thrust. Laser propulsion experiments in vacuum reveal the lowest laser ablation threshold intensities and the greatest density‐normalized specific impulse in literature. The results highlight graphene delignified wood as a potential efficient, sustainable, strong, and lightweight ...
Afnan S. M. Elmubasher +10 more
wiley +1 more source
Human capital efficiency and firm performance across sectors in an emerging market
Cogent Business & Management, 2020 Human capital is considered the cornerstone of any progress in economic growth and development for any country. Vietnam and other emerging markets are no exception.
Ngoc Phu Tran, Duc Hong Vo
doaj +1 more source
AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
Advanced Science, EarlyView.This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source