|
|
|
|
|
Evandro S. Ortigossa, Fábio Felix Dias and Diego Carvalho do Nascimento
The exploration and analysis of multidimensional data can be pretty complex tasks, requiring sophisticated tools able to transform large amounts of data bearing multiple parameters into helpful information. Multidimensional projection techniques figure a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ming Chen, Xinhu Zhang, Kechun Shen and Guang Pan
The geometrical dimensions and mechanical properties of composite materials exhibit inherent variation and uncertainty in practical engineering. Uncertainties in geometrical dimensions and mechanical properties propagate to the structural performance of ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuanzi Zhang, Jing Wang, Xiaolin Li, Shiguo Huang and Xiuli Wang
There are generally many redundant and irrelevant features in high-dimensional datasets, which leads to the decline of classification performance and the extension of execution time. To tackle this problem, feature selection techniques are used to screen...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abdullateef Oluwagbemiga Balogun, Shuib Basri, Said Jadid Abdulkadir and Ahmad Sobri Hashim
Software Defect Prediction (SDP) models are built using software metrics derived from software systems. The quality of SDP models depends largely on the quality of software metrics (dataset) used to build the SDP models. High dimensionality is one of the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Li Qing, Weng Linhong and Ding Xuehai
Medical text categorization is a specific area of text categorization. Classification for medical texts is considered a special case of text classification. Medical text includes medical records and medical literature, both of which are important clinica...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammad Bagher Dowlatshahi, Vali Derhami and Hossein Nezamabadi-pour
Micro-Ribonucleic Acids (miRNAs) are small non-coding Ribonucleic Acid (RNA) molecules that play an important role in the cancer growth. There are a lot of miRNAs in the human body and not all of them are responsible for cancer growth. Therefore, there i...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ganji Vivekanand,Prof.Dr.G.Manoj Someswar
Enormous Data investigation has pulled in exceptional premium as of late for its endeavour to remove data, learning and insight from Big Data. In industry, with the advancement of sensor innovation and Information and Communication Technologies (ICT), re...
ver más
|
|
|
|
|
|
|
|
|
|
|
Oleg Gaidai, Jingxiang Xu, Vladimir Yakimov and Fang Wang
Wind turbines and their associated parts are subjected to cyclical loads, such as bending, torque, longitudinal stresses, and twisting moments. The novel spatiotemporal reliability technique described in this research is especially useful for high-dimens...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zenab Mohamed Elgamal, Norizan Mohd Yasin, Aznul Qalid Md Sabri, Rami Sihwail, Mohammad Tubishat and Hazim Jarrah
The rapid growth in biomedical datasets has generated high dimensionality features that negatively impact machine learning classifiers. In machine learning, feature selection (FS) is an essential process for selecting the most significant features and re...
ver más
|
|
|
|
|
|
|
|
|
|
|
Maurizio Atzori and Barbara Pes
The importance of data mining methods has increased dramatically in recent years, making this research area relevant and challenging to extract actionable knowledge from complex data. Indeed, new algorithms and machine learning methods are constantly bei...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jose Luis Vieira Sobrinho, Flavio Henrique Teles Vieira and Alisson Assis Cardoso
The high dimensionality of real-life datasets is one of the biggest challenges in the machine learning field. Due to the increased need for computational resources, the higher the dimension of the input data is, the more difficult the learning task will ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rubén E. Nogales and Marco E. Benalcázar
Gesture recognition is widely used to express emotions or to communicate with other people or machines. Hand gesture recognition is a problem of great interest to researchers because it is a high-dimensional pattern recognition problem. The high dimensio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhenwen He, Chi Zhang and Yunhui Cheng
Time series data typically exhibit high dimensionality and complexity, necessitating the use of specific approximation methods to perform computations on the data. The currently employed compression methods suffer from varying degrees of feature loss, le...
ver más
|
|
|
|
|
|
|
|
|
|
|
Babak Salamat and Gerhard Elsbacher
Steering large-scale particle or robot systems is challenging because of their high dimensionality. We use a centralized stochastic approach that allows for optimal control at the cost of a central element instead of a decentralized approach. Previous wo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhuang Wang, Weijun Pan, Hui Li, Xuan Wang and Qinghai Zuo
Deep reinforcement learning (DRL) has been widely adopted recently for its ability to solve decision-making problems that were previously out of reach due to a combination of nonlinear and high dimensionality. In the last few years, it has spread in the ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammed Amin Belarbi, Saïd Mahmoudi, Ghalem Belalem, Sidi Ahmed Mahmoudi and Aurélie Cools
Indexing images by content is one of the most used computer vision methods, where various techniques are used to extract visual characteristics from images. The deluge of data surrounding us, due the high use of social and diverse media acquisition syste...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guochao Zhang, Weijia Cao and Yantao Wei
With the development of the hyperspectral imaging technique, hyperspectral image (HSI) classification is receiving more and more attention. However, due to high dimensionality, limited or unbalanced training samples, spectral variability, and mixing pixe...
ver más
|
|
|
|
|
|
|
|
|
|
|
Erfan Amini, Danial Golbaz, Rojin Asadi, Mahdieh Nasiri, Oguzhan Ceylan, Meysam Majidi Nezhad and Mehdi Neshat
One of the most encouraging sorts of renewable energy is ocean wave energy. In spite of a large number of investigations in this field during the last decade, wave energy technologies are recognised as neither mature nor broadly commercialised compared t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Andrea Maria N. C. Ribeiro, Pedro Rafael X. do Carmo, Iago Richard Rodrigues, Djamel Sadok, Theo Lynn and Patricia Takako Endo
To minimise environmental impact, to avoid regulatory penalties, and to improve competitiveness, energy-intensive manufacturing firms require accurate forecasts of their energy consumption so that precautionary and mitigation measures can be taken. Deep ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Barbara Pes
Class imbalance and high dimensionality are two major issues in several real-life applications, e.g., in the fields of bioinformatics, text mining and image classification. However, while both issues have been extensively studied in the machine learning ...
ver más
|
|
|
|
|
|