Results 81 to 90 of about 64,158 (253)

Hard-Clustering with Gaussian Mixture Models

CoRR, 2016
Training the parameters of statistical models to describe a given data set is a central task in the field of data mining and machine learning. A very popular and powerful way of parameter estimation is the method of maximum likelihood estimation (MLE). Among the most widely used families of statistical models are mixture models, especially, mixtures of
Johannes Blömer, Sascha Brauer, Kathrin Bujna   +2 more
openaire   +2 more sources

Magnetic‐Field Control of Surface States in CoFe2O4 Thin Films for Nitrate Electroreduction to Ammonia

Advanced Functional Materials, EarlyView.
Magnetic‐field‐assisted CVD of heterometallic single‐source precursors modulates thin‐film surface electronic structure and interfacial charge transfer. Field‐grown (Cobalt ferrite‐1T)CF‐1T films exhibit stabilized electronic states, lower kinetic barriers, and markedly enhanced nitrate‐to‐ammonia electrocatalysis versus (Cobalt ferrite‐0T) CF‐0T ...
Touraj Karimpour, Younes Mousazade, Simon Diel, Shilendra Kumar Sharma, Tisita Das, Nathália C. Verissimo, Thomas Fischer, Ziyaad Aytuna, Andreas Lichtenberg, Sudip Chakraborty, Marcel Risch, Sanjay Mathur   +11 more
wiley   +1 more source

A Fast Incremental Gaussian Mixture Model

PLOS ONE, 2015
Ce travail s'appuie sur les efforts antérieurs en matière d'apprentissage incrémentiel en ligne, à savoir le Incremental Gaussian Mixture Network (IGMN). L'IGMN est capable d'apprendre des flux de données en une seule passe en améliorant son modèle après avoir analysé chaque point de données et l'avoir jeté par la suite.
Rafael Pinto, Paulo Martins Engel
openaire   +5 more sources

Ultrasmall High‐Entropy Materials: Nanoscale Effects, Synthesis, and Mechanistic Insights

Advanced Functional Materials, EarlyView.
This review article focuses on sub‐10 nm high‐entropy materials that combine nanoscale design with complex compositions for next‐generation applications. ABSTRACT Ultrasmall high‐entropy nanomaterials (USHENMs, <10 nm) merge multicomponent chemistry with size‐dependent effects, forming a distinct class of materials with unprecedented properties.
Yueyue He, Wenbo Wang, Simon Schweidler, Yanjiao Ma, Ben Breitung, Torsten Brezesinski   +5 more
wiley   +1 more source

ADAPTIVE BACKGROUND DENGAN METODE GAUSSIAN MIXTURE MODELS UNTUK REAL-TIME TRACKING

Jurnal Informatika, 2008
Nowadays, motion tracking application is widely used for many purposes, such as detecting traffic jam and counting how many people enter a supermarket or a mall. A method to separate background and the tracked object is required for motion tracking.
Silvia Rostianingsih, Rudy Adipranata, Fredy Setiawan Wibisono   +2 more
doaj  

Pickering‐Engineered Microparticles for Magnetically Guided Motion and Light‐Triggered Catalysis

Advanced Functional Materials, EarlyView.
Magnetically responsive wax microparticles stabilized by hematite cubes through the Pickering emulsification strategy are developed, showing controlled size, motion, and light‐activated catalytic activity. Annealing under a magnetic field enhances their mobility and steering.
Chiara Ferlito, Ludovico Guercio, Giuseppe Cavallaro, Giuseppe Lazzara, Theodore Hueckel, Lorenzo Lisuzzo, Stefano Sacanna   +6 more
wiley   +1 more source

Exact recovery of community detection in k-community Gaussian mixture models

European Journal of Applied Mathematics
We study the community detection problem on a Gaussian mixture model, in which vertices are divided into $k\geq 2$ distinct communities. The major difference in our model is that the intensities for Gaussian perturbations are different for ...
Zhongyang Li
doaj   +1 more source

Oxidized MoS2‐Based Multifunctional Memristive Hardware for Energy‐Efficient mmWave Signal Processing and In‐Memory Matrix Multiplication

Advanced Functional Materials, EarlyView.
Thermally oxidized MoS2‐based radio‐frequency switches enable a multifunctional platform that unifies broadband RF switching and in‐memory computation. The device achieves a cutoff frequency of 33.2 THz with high energy efficiency and supports hardware‐aware signal processing.
Juho Son, Changwoo Pyo, Sungmoon Park, Yoongi Cho, Seungchan Lee, Myungsoo Kim   +5 more
wiley   +1 more source

Transparent and Robust LiCl–Organohydrogel Triboelectric Nanogenerator With Deep Learning Assisted Sensing

Advanced Functional Materials, EarlyView.
Develop a LiCl–PEI–PAM hydrogel with 3000% stretchability and excellent optical transparency. Through comparative studies of various salts, confirm that LiCl is the most suitable salt for high TENG output. Achieve excellent freeze‐resistant, dry‐resistant, and rapid self‐healing (10 s) properties even in extreme environments. Balance ionic conductivity,
Hai Anh Thi Le, Thien Trung Luu, Duc‐Manh Dinh, Kyehan Rhee, Kyungwho Choi, Dukhyun Choi, Yong Tae Park   +6 more
wiley   +1 more source

Conformal Metallosaccharide Hybrid Films for Protecting Wood Surfaces From Environmental Damage

Advanced Functional Materials, EarlyView.
Ti‐ribose hybrid films fabricated by molecular layer deposition form a conformal and uniform coating on wood surfaces, which provides water repellence, dimensional stability, and resistance to acidic and alkaline environments, while preserving the natural appearance.
Wenwen Wang, Aranzazu Sierra Fernandez, Gabriele Botta, Evgenii Modin, Iva Šarić Janković, Shidong Ji, Junli Liu, Mato Knez   +7 more
wiley   +1 more source