A New Computational Approach to the Classification of Fluoroquinolones According to the Biopharmaceutical Classification System

Kłosińska-Szmurło, Ewa; Paweł, Mazurek Aleksander; Monika, Grudzień; Betlejewska-Kielak, Katarzyna

doi:10.2174/1573409912666161018094621

“…At each transformation level, the image will be decomposed into 4 uniform-sized modules. Any one of the four modules was obtained from inner image processing of the wavelet image in the original image (Ewa et al, 2016;Lahsasna and Seng, 2017). After sampling and selecting in different directions, the multi-source remote sensing image was decomposed, as shown in Figure 7.…”

Section: Spatial Domain Quantisationmentioning

confidence: 99%

Multi-source remote sensing image big data classification system design in cloud computing environment

Tong

¹

,

Guo²,

Cheng

³

2020

IJIMS

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Due to the problems of poor classification and time-consuming in traditional multi-source remote sensing image big data classification system, it cannot meet the standard requirements for image big data classification in related fields. To solve the above problems, the multi-source remote sensing image data classification system under cloud computing environment is optimised. Following the line string transmission protocol architecture, relevant information is processed, transformed and fused. Data are transported to the host through protocol transmission. Based on above principle, the system hardware and software are designed. Detailed, designing hardware system refers to designing image sensor interface and system processing interface. The design of the system software part can be divided into two parts, including the two-wire serial protocol formulation and the image big data classification algorithm that provides users with initialisation operations. At the same time, the image is sharpened and the pixels are improved. Experimental verification results show that the system has good processing effect and short time consumption.

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“…30 GastroPlus, GI-Sim, Simcyp Simulator ve Stella gibi farklı bilgisayar programları/modellemeleri ve yapay sinir ağları aracılığıyla birçok ilacın emilim tahmini gerçeğe son derece yakın sonuçlar vermektedir. 31,32 Ayrıca, bu modellemeler yardımıyla yardımcı maddelerin de emilim ve permeabilite üzerine etkisi incelenebilmektedir. 33,34 Bunun yanında güncel araştırmalar BCS'nin pediatrik ilaçlara da uygulanabilirliğini araştırmaktadır.…”

Section: Bcs'ni̇n Ortaya çIkişi-1995unclassified

Biopharmaceutics Classification System: Evaluation on International Guidelines and Countries

Yaşin¹,

Teksin²

2018

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Multi-source remote sensing image big data classification system design in cloud computing environment

Tong

¹

,

Guo²,

Cheng

³

2020

IJIMS

0

View full text Add to dashboard Cite

Due to the problems of poor classification and time-consuming in traditional multi-source remote sensing image big data classification system, it cannot meet the standard requirements for image big data classification in related fields. To solve the above problems, the multi-source remote sensing image data classification system under cloud computing environment is optimised. Following the line string transmission protocol architecture, relevant information is processed, transformed and fused. Data are transported to the host through protocol transmission. Based on above principle, the system hardware and software are designed. Detailed, designing hardware system refers to designing image sensor interface and system processing interface. The design of the system software part can be divided into two parts, including the two-wire serial protocol formulation and the image big data classification algorithm that provides users with initialisation operations. At the same time, the image is sharpened and the pixels are improved. Experimental verification results show that the system has good processing effect and short time consumption.

show abstract

A New Computational Approach to the Classification of Fluoroquinolones According to the Biopharmaceutical Classification System

Cited by 4 publications

References 0 publications

Multi-source remote sensing image big data classification system design in cloud computing environment

Multi-source remote sensing image big data classification system design in cloud computing environment

Biopharmaceutics Classification System: Evaluation on International Guidelines and Countries

Multi-source remote sensing image big data classification system design in cloud computing environment

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