Results 121 to 130 of about 418,008 (299)

Recognizing Signatures Using Normalized Generalization Neural Network

Journal of Engineering and Sustainable Development
One of the most prevalent behavioral biometrics is the signature. In this paper, signatures are utilized in the case of recognition. Multiple contributions are provided here.
Sadoon Alsumaydai, Wai Lok Woo
doaj   +1 more source

Programmable DNA‐Peptide Hybrid Nanostructures for Potent Neutralization of Multiple Influenza a Virus Subtypes

Advanced Functional Materials, EarlyView.
A multivalent antiviral platform based on honeycomb‐shaped DNA nanostructures (HC–Urumin) is developed to enhance the potency and breadth of the host defense peptide Urumin. Through spatially patterned trimeric presentation, HC–Urumin disrupts influenza A virus entry, improves cell viability, and reduces disease severity in vivo‐offering a modular and ...
Saurabh Umrao, Abhisek Dwivedy, Payton L. Haak, Dhanush Gandavadi, Laurie A. Rund, Chi Chen, Vineetha Mareddy, Lifeng Zhou, Jinwei Duan, Ying Fang, Andrew J. Steelman, Xing Wang   +11 more
wiley   +1 more source

Transforming oil market analysis: A novel GAN + LSTM predictive framework

Next Energy
A novel method of predicting the crude oil WTI futures prices based on a data set covering April 12, 2009 through January 7, 2024. To capture complex market dynamics more precisely, it incorporates key market factors such as open, high, and low price ...
Prity Kumari, G.Y. Chandan, Satish Kumar M   +2 more
doaj   +1 more source

Soil Moisture and Irrigation Mapping in A Semi-Arid Region, Based on the Synergetic Use of Sentinel-1 and Sentinel-2 Data

Remote Sensing, 2018
This paper presents a technique for the mapping of soil moisture and irrigation, at the scale of agricultural fields, based on the synergistic interpretation of multi-temporal optical and Synthetic Aperture Radar (SAR) data (Sentinel-2 and Sentinel-1 ...
S. Bousbih, M. Zribi, M. El-Hajj, N. Baghdadi, Z. Lili-Chabaane, Qi Gao, P. Fanise   +6 more
semanticscholar   +1 more source

Microsphere Autolithography—A Scalable Approach for Arbitrary Patterning of Dielectric Spheres

Advanced Functional Materials, EarlyView.
MicroSphere Autolithography (µSAL) enables scalable fabrication of patchy particles with customizable surface motifs. Focusing light through dielectric microspheres creates well defined, tunable patches via a conformal poly(dopamine) photoresist. Nearly arbitrary surface patterns can be achieved, with the resolution set by the index contrast between ...
Elliott D. Kunkel, Alec G. Burnett, Katherine E. Scheiber, Hans D. Robinson   +3 more
wiley   +1 more source

Spectral Estimation of Chlorophyll for Non-Invasive Assessment in Apple Orchards

Horticulturae
The main aim of our research was to develop a methodology of chlorophyll content in the leaves of apple trees non-invasive assessment in apple orchards and its adaptation to Early Gold and Golden Reinders based on spectral characteristics of chlorophyll ...
Andrea Szabó, János Tamás, Attila Nagy   +2 more
doaj   +1 more source

Encoding and processing of sensory information in neuronal spike trains [PDF]

, 1999
Recently, a statistical signal-processing technique has allowed the information carried by single spike trains of sensory neurons on time-varying stimuli to be characterized quantitatively in a variety of preparations.
Gabbiani, F., Metzner, W.
core   +1 more source

A Smart Magnetically Actuated Flip‐Disc Programmable Metasurface with Ultralow Power Consumption for Real‐Time Channel Control

Advanced Functional Materials, EarlyView.
The study proposes a 1‐bit programmable metasurface based on flip‐disc display, named flip‐disc metasurface (FD‐MTS). This new design enables ultralow energy consumption while maintaining coding patterns. It also exhibits high scalability and multifunctional flexibility.
Jiang Han Bao, Che Liu, Jia Cheng Li, Zhen Hao Fu, Yi Su Huang, Si Qi Huang, Lei Zhang, Jian Wei You, Tie Jun Cui   +8 more
wiley   +1 more source

Estimating critical depth and discharge over sloping rough end depth using machine learning

Journal of Hydroinformatics
This study uses machine learning (ML) to predict the end-depth structure's discharge and critical depth (yc). Linear regression, M5P, random forest, random tree, reduced error pruning tree, and Gaussian process (GP) are the ML methods used in this ...
Ahmed Y. Mohammed, Parveen Sihag
doaj   +1 more source

High‐Yield Synthesis of Fe‐NC Electrocatalysts Using Mg2+ Templating and Schiff‐Base Porous Organic Polymers

Advanced Functional Materials, EarlyView.
Fe─NC porous oxygen reduction electrocatalysts are prepared employing a 2,4,6‐Triaminopyrimidine‐based porous organic polymer, a Mg2+ Lewis acid, and a low‐temperature cation exchange protocol. Using the polymer precursor achieves high pyrolysis yields and results in atomically dispersed FeNx sites. The resulting catalysts feature hierarchical porosity
Eliot Petitdemange, Jinjie Zhu, Angus Pedersen, Joseph Parker, S. Esmael Balaghi, Shaohua Li, Silvia Favero, José Ignacio Martínez, Sarah Haigh, Maria‐Magdalena Titirici, Anna Fischer, Jesús Barrio   +11 more
wiley   +1 more source