Results 91 to 100 of about 28,052 (308)

Softver zasnovan na vejvelet transformaciji pogodan za analizu digitalizovanog sadržaja [PDF]

, 2007
The digital contents database requires a more complexes software tools in order to searching, analysis’s, compression and reproduction. Wavelet theory provides the fast discrete algorithms suitable to computer programming application. The clear
Popović, Nikola, Mirčevski, Julijana, Đokić, Biljana   +2 more
core  

Fractional Wavelet Transform Using an Unbalanced Lifting Structure [PDF]

, 2011
In this article, we introduce the concept of fractional wavelet transform. Using a two-channel unbalanced lifting structure it is possible to decompose a given discrete-time signal x[n] sampled with period T into two sub-signals x1[n] and x2[n] whose ...
Y. H. Habiboğlu, Habiboglu, Y. Hakan, Cetin, A. Enis, A. E. Çetin, Kivanc Kose, Kose, Kivanc, Köse, Kıvanç   +6 more
core   +1 more source

Azaporphyrinoid‐Based Photo‐ and Electroactive Architectures for Advanced Functional Materials

Advanced Materials, EarlyView.
A long‐standing collaboration between the Torres and Guldi groups has yielded diverse azaporphyrinoid‐based donor‐acceptor nanohybrids with promising applications in solar energy conversion. This conspectus highlights key molecular platforms and structure‐function relationships that govern light and charge management, supporting the rational design of ...
Jorge Labella, Kobra Azizi, Dirk M. Guldi, Tomás Torres   +3 more
wiley   +1 more source

Tough, Ductile, and Strong Hard‐Soft Cementitious Composite Enabled by Multi‐Material Additive Manufacturing

Advanced Materials, EarlyView.
Drawing inspiration from the layered hard‐soft architecture found in sea sponges, this work establishes a new framework for architected cementitious composites (ACC) through multi‐material additive manufacturing (MMAM) process. The integration of mortar and elastomer phases into layered architectures enables synergistic toughening mechanisms, including
Aimane Najmeddine, Shashank Gupta, William Makinen, Zayvinn Lin, Krystal Delnoce, Reza Moini   +5 more
wiley   +1 more source

Lightweight Wavelet Convolutional U-Net for Seismic Phase Recognition

IEEE Access
To reconcile the conflict between phase-picking accuracy and edge-deployment efficiency, this study proposes a Lightweight Wavelet Convolutional U-Net. The core originality lies in replacing standard sampling with an invertible wavelet paradigm.
Jianxian Cai, Jingqi Ma, Yanxiong Wu, Ping Li, Zhuangqi Guo   +4 more
doaj   +1 more source

Signature Recognition Based on Discrete Wavelet Transform

UHD Journal of Science and Technology, 2019
Personal identification is an actively developing area of research. Human signature is a vital biometric attribute which can be used to authenticate human identity. There are many approaches to recognize signature with a lot of researches.
Sivana Salahadin Muhamad, Muzhir Shaban Al-Ani   +1 more
doaj   +1 more source

Optimal Control Drives Ultrafast and Energy‐Efficient Magnetization Switching in Van der Waals Magnets

Advanced Materials, EarlyView.
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh, PeiYu Cai, Elton J. G. Santos   +2 more
wiley   +1 more source

Classification of fetal abnormalities based on CTG signal

مجلة بغداد للعلوم, 2014
The fetal heart rate (FHR) signal processing based on Artificial Neural Networks (ANN),Fuzzy Logic (FL) and frequency domain Discrete Wavelet Transform(DWT) were analysis in order to perform automatic analysis using personal computers.
Baghdad Science Journal
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Separable and non-separable discrete wavelet transform based texture features and image classification of breast thermograms [PDF]

, 2013
Highly sensitive infrared cameras can produce high-resolution diagnostic images of the temperature and vascular changes of breasts. Wavelet transform based features are suitable in extracting the texture difference information of these images due to ...
Etehadtavakol, Mahnaz, Rabbani, Hossien, Ng, E.Y.K., Chandran, Vinod   +3 more
core   +1 more source