|
|
|
|
|
Xinzhi Liu, Jun Yu, Toru Kurihara, Congzhong Wu, Zhao Niu and Shu Zhan
It seems difficult to recognize an object from its background with similar color using conventional segmentation methods. An efficient way is to utilize hyperspectral images that contain more wave bands and richer information than only RGB components. Pa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Steven Guan, Ko-Tsung Hsu and Parag V. Chitnis
Simulation tools for photoacoustic wave propagation have played a key role in advancing photoacoustic imaging by providing quantitative and qualitative insights into parameters affecting image quality. Classical methods for numerically solving the photoa...
ver más
|
|
|
|
|
|
|
|
|
|
|
I-Hsum Li and Lian-Wang Lee
Vehicle Suspension.
|
|
|
|
|
|
|
|
|
|
|
Wan-Ju Lin, Shih-Hsuan Lo, Hong-Tsu Young and Che-Lun Hung
The use of surface roughness (Ra) to indicate product quality in the milling process in an intelligent monitoring system applied in-process has been developing. From the considerations of convenient installation and cost-effectiveness, accelerator vibrat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abouzar Choubineh, Jie Chen, David A. Wood, Frans Coenen and Fei Ma
Machine Learning (ML) and/or Deep Learning (DL) methods can be used to predict fluid flow in porous media, as a suitable replacement for classical numerical approaches. Such data-driven approaches attempt to learn mappings between finite-dimensional Eucl...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammad Ebrahim Banihabib, Reihaneh Bandari and Mohammad Valipour
In multi-purpose reservoirs, to achieve optimal operation, sophisticated models are required to forecast reservoir inflow in both short- and long-horizon times with an acceptable accuracy, particularly for peak flows. In this study, an auto-regressive hy...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sergei Strijhak, Daniil Ryazanov, Konstantin Koshelev and Aleksandr Ivanov
In this article the procedure and method for the ice accretion prediction for different airfoils using artificial neural networks (ANNs) are discussed. A dataset for the neural network is based on the numerical experiment results?obtained through iceFoam...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chenchen Gu, Chunjiang Zhao, Wei Zou, Shuo Yang, Hanjie Dou and Changyuan Zhai
Orchard spraying can effectively control pests and diseases. Over-spraying commonly results in excessive pesticide residues on agricultural products and environmental pollution. To avoid these problems, variable spraying technology uses target canopy det...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tekin Evrim Ozmermer
Pág. 44 - 57
If everything is a signal and combination of signals, everything can be represented with Fourier representations. Then, is it possible to represent a signal with a conditional dependency to input data? This research is devoted to the development of Sinus...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ji-Hyeon Yoo, Ho-Jin Jung, Yi-Sue Jung, Yoon-Bee Kim, Chang-Jae Lee, Sung-Tae Shin and Han-Ul Yoon
This paper proposes a systemic approach to upper arm gym-workout classification according to spatio-temporal features depicted by biopotential as well as joint kinematics. The key idea of the proposed approach is to impute a biopotential-kinematic relati...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jasna Prpic-Or?ic, Marko Valcic and Zoran Carija
The estimation of wind loads on ships and other marine objects represents a continuous challenge because of its implication for various aspects of exposed structure exploitation. An extended method for estimating the wind loads on container ships is pres...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuan hong Zhong, Shun Zhang, Rongbu He, Jingyi Zhang, Zhaokun Zhou, Xinyu Cheng, Guan Huang and Jing Zhang
Feature extraction is a key part of the electronic tongue system. Almost all of the existing features extraction methods are ?hand-crafted?, which are difficult in features selection and poor in stability. The lack of automatic, efficient and accurate fe...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhuoshi Li, Yuanyuan Chen, Jiasong Sun, Yanbo Jin, Qian Shen, Peng Gao, Qian Chen and Chao Zuo
Slightly off-axis digital holographic microscopy (DHM) is the extension of digital holography imaging technology toward high-throughput modern optical imaging technology. However, it is difficult for the method based on the conventional linear Fourier do...
ver más
|
|
|
|
|
|
|
|
|
|
|
Oscar Rojas, Veronica Gil-Costa and Mauricio Marin
Web search engines are built from components capable of processing large amounts of user queries per second in a distributed way. Among them, the index service computes the top-k documents that best match each incoming query by means of a document rankin...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fernando Merchan, Ariel Guerra, Héctor Poveda, Héctor M. Guzmán and Javier E. Sanchez-Galan
We evaluated the potential of using convolutional neural networks in classifying spectrograms of Antillean manatee (Trichechus manatus manatus) vocalizations. Spectrograms using binary, linear and logarithmic amplitude formats were considered. Two deep c...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dimas Okky Anggriawan, Aidin Amsyar, Eka Prasetyono, Endro Wahjono, Indhana Sudiharto, Anang Tjahjono
Pág. 71 - 82
Due to increase power quality which are caused by harmonic distortion it could be affected malfunction electrical equipment. Therefore, identification of harmonic loads become important attention in the power system. According to those problems, t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kathia Chenane, Youcef Touati, Larbi Boubchir and Boubaker Daachi
The following contribution describes a neural net-based, noninvasive methodology for electroencephalographic (EEG) signal classification. The application concerns a brain?computer interface (BCI) allowing disabled people to interact with their environmen...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chunyan Zeng, Shuai Kong, Zhifeng Wang, Kun Li and Yuhao Zhao
In recent years, digital audio tampering detection methods by extracting audio electrical network frequency (ENF) features have been widely applied. However, most digital audio tampering detection methods based on ENF have the problems of focusing on spa...
ver más
|
|
|
|
|
|
|
|
|
|
|
George D. O?Mahony, Kevin G. McCarthy, Philip J. Harris and Colin C. Murphy
Classifying fluctuating operating wireless environments can be crucial for successfully delivering authentic and confidential packets and for identifying legitimate signals. This study utilizes raw in-phase (I) and quadrature-phase (Q) samples, exclusive...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ru Ye, Hongyan Xing and Xing Zhou
Addressing the limitations of manually extracting features from small maritime target signals, this paper explores Markov transition fields and convolutional neural networks, proposing a detection method for small targets based on an improved Markov tran...
ver más
|
|
|
|
|
|