Recognition of roasted coffee bean levels using image processing and neural network

TH Nasution, U Andayani - IOP Conference Series: Materials …, 2017 - iopscience.iop.org
The coffee beans roast levels have some characteristics. However, some people cannot
recognize the coffee beans roast level. In this research, we propose to design a method to …

Minimum cost fused feature representation and reconstruction with autoencoder in bimodal recognition system

S ViswanadhaRaju, P Vidyasree, M Gudavalli… - Proceedings of the …, 2016 - dl.acm.org
In the presentera, human authentication is tightly coupled with biometric advancements.
Authentication deals with metrics of both physical and behavioral traits of an individual to …

An image-based method for non-contact and dynamic room acoustics analysis

V Abolhasannejad, R Golmohammadi, M Aliabadi… - Applied Acoustics, 2018 - Elsevier
Noise is defined as “unwanted” sound and the workers in industrial workroom are often
exposed to noise. Acoustics analysis helps to evaluate and improve noise absorption of the …

Pulmonary lesion texture classification from endobronchialultrasonogram using texture analysis

B Khomkham - 2017 - digital.car.chula.ac.th
This research aims to develop a method to help distinguish the appearance of pulmonary
lesions from a high-frequency sound (Endobronchial Ultrasound EBUS) image. According to …

ROOM MATERIAL IDENTIFICATION SYSTEM FROM PHOTO IMAGES USING GLCM, MODIFIED ZERNIKE MOMENTS, AND PSO-BP APPLICATION

FL Zainudin, S Saon, MN Yahya - Jurnal Teknologi, 2016 - journals.utm.my
In acoustic engineering, the types of material used in a room are basically one of the
fundamental features that are essential in some of room acoustic parameters computation …

[PDF][PDF] Identification Of Material surfaces Using Grey Level Co-Occurrence Matrix And Elman Neural Network

N Yahya, FL Zainudin - 2006 - academia.edu
Material type absorption coefficient is one of the important parameter that used for acoustic
room calculation. Currently, absorption coefficient is obtained by using impedance tube or …

[引用][C] Infrared face recognition in forensics via texture analysis

N Kahraman, GS Özcan, R İbişhükçü - … of 2016 Annual International Conference on …, 2016

[引用][C] Identification of Material Surface Features using Gray Level Co-Occurrence Matrix and Generalized Regression Neural Network