Results 141 to 150 of about 136,861 (303)

Machine‐Learning Framework for Designing Stable Interfaces in All‐Solid‐State Lithium‐Ion Batteries

Advanced Science, EarlyView.
A data‐driven strategy is developed to discover coating materials for all‐solid‐state lithium batteries. Using calculations of interfacial reactivity, unsupervised pattern recognition, and machine‐learning prediction, the study identifies low‐reactivity compositional patterns and screens new lithium‐based oxide and polyanion candidates, extending ...
Sehyeok Park, Myeongcho Jang, Hun‐Gi Jung, Kyung Yoon Chung, Seungho Yu   +4 more
wiley   +1 more source

Analysis of unsupervised and noise-robust speaker-adaptive HMM-based speech synthesis systems toward a unified ASR and TTS framework [PDF]

, 2009
For the 2009 Blizzard Challenge we have built an unsupervised version of the HTS-2008 speaker-adaptive HMM-based speech synthesis system for English, and a noise robust version of the systems for Mandarin.
King, S.; id_orcid, Tian, J., Gibson, Matthew, Yamagishi, Junichi, Lincoln, Mike, Guan, Y., Tian, Jilei, Dines, John, Lincoln, M., Dines, J., Guan, Yong, Yamagishi, J., Gibson, M., King, Simon   +13 more
core  

Contrastive Transfer Learning for Prediction of Adverse Events in Hospitalized Patients

IEEE Journal of Translational Engineering in Health and Medicine
Objective: Deterioration index (DI) is a computer-generated score at a specific frequency that represents the overall condition of hospitalized patients using a variety of clinical, laboratory and physiologic data.
Hojjat Salehinejad, Anne M. Meehan, Pedro J. Caraballo, Bijan J. Borah   +3 more
doaj   +1 more source

Analog Weight Update Rule in Ferroelectric Hafnia, Using picoJoule Programming Pulses

Advanced Electronic Materials, EarlyView.
Resistive, ferroelectric synaptic weights based on BEOL‐compatible hafnia/zirconia nanolaminates are fabricated. Lateral downscaling the devices below 10 µm2 enables 20 ns programming with electrical pulses, dissipating ≤ 3 pJ. Experimental results show that final conductance state is set by pulse amplitude, and is largely independent of the initial ...
Alexandre Baigol, Nikhil Garg, Matteo Mazza, Yanming Zhang, Elisa Zaccaria, Wooseok Choi, Bert Jan Offrein, Laura Bégon‐Lours   +7 more
wiley   +1 more source

Using Structured UKR Manifolds for Motion Classification and Segmentation

, 2009
Steffen JF, Pardowitz M, Ritter H. Using Structured UKR Manifolds for Motion Classification and Segmentation. In: Intelligent Robots and Systems (IROS).
Michael Pardowitz, Ritter, Helge ; https://orcid.org/, Jan Steffen, Pardowitz, Michael, Helge Ritter, Steffen, Jan Frederik   +5 more
core   +1 more source

Import Wheat Tenders and the Effects of the Russian Invasion

Agribusiness, EarlyView.
ABSTRACT Risk and volatility for many commodities escalated sharply following the Russian invasion of Ukraine, creating numerous uncertainties for trading firms and importers. The purpose of this study is to analyze the bidding behavior in Egyptian wheat import tenders in the pre‐ and post‐invasion periods.
William W. Wilson, Sumadhur Shakya, Isaac Dubovoy   +2 more
wiley   +1 more source

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

Advanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender, Marco Corrias, Cesare Franchini   +2 more
wiley   +1 more source

Learning Visual Attributes

, 2007
Learning object categories has recently become a major focus of Computer Vision. In this work, we are interested in the complementary task of learning attributes, which are visual qualities of objects, such as red, striped, or spotted.
Andrew Zisserman, Zisserman, A., Vittorio Ferrari, Ferrari, V.   +3 more
core  

Unsupervised Learning of Multiword Expressions [PDF]

, 2010
Multiword expressions are expressions consisting of two or more words that correspond to some conventional way of saying things (Manning & Schutze 1999).
Korkontzelos, Ioannis, Ioannis Korkontzelos   +1 more
core  

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

Advanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali, Lachlan Caulfield, Eric Sauter, Alexei Nefedov, Chengwu Yang, Christof Wöll   +5 more
wiley   +1 more source