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Neural Computing and Applications

Issue 10/2017

Special Issue on New trends in data pre-processing methods for signal and image classification

Content (21 Articles)

Editorial

Guest editorial: New trends in data pre-processing methods for signal and image classification

Kemal Polat, Hariharan Muthusamy, Rajendra Acharya, Yanhui Guo

New Trends in data pre-processing methods for signal and image classification

An improved dynamic sampling back-propagation algorithm based on mean square error to face the multi-class imbalance problem

R. Alejo, J. Monroy-de-Jesús, J. C. Ambriz-Polo, J. H. Pacheco-Sánchez

New Trends in data pre-processing methods for signal and image classification

A cloud-based recommendation service using principle component analysis–scale-invariant feature transform algorithm

Akhan Akbulut, Cagatay Catal, Fatma Patlar Akbulut

New Trends in data pre-processing methods for signal and image classification

Automated screening of congestive heart failure using variational mode decomposition and texture features extracted from ultrasound images

U. Raghavendra, U. Rajendra Acharya, Anjan Gudigar, Ranjan Shetty, N. Krishnananda, Umesh Pai, Jyothi Samanth, Chaithra Nayak

New Trends in data pre-processing methods for signal and image classification

Covering-based rough set classification system

S. Senthil Kumar, H. Hannah Inbarani, Ahmad Taher Azar, Kemal Polat

New Trends in data pre-processing methods for signal and image classification

Investigation of different approaches for noise reduction in functional near-infrared spectroscopy signals for brain–computer interface applications

A. Janani, M. Sasikala

New Trends in data pre-processing methods for signal and image classification

Leakage detection and localization on water transportation pipelines: a multi-label classification approach

Fatih Kayaalp, Ahmet Zengin, Resul Kara, Sultan Zavrak

New Trends in data pre-processing methods for signal and image classification

An approach for feature selection using local searching and global optimization techniques

Sadhana Tiwari, Birmohan Singh, Manpreet Kaur

New Trends in data pre-processing methods for signal and image classification

Automatic detection of respiratory arrests in OSA patients using PPG and machine learning techniques

Muhammed Kürşad Uçar, Mehmet Recep Bozkurt, Cahit Bilgin, Kemal Polat

New Trends in data pre-processing methods for signal and image classification

Sine–cosine algorithm for feature selection with elitism strategy and new updating mechanism

R. Sindhu, Ruzelita Ngadiran, Yasmin Mohd Yacob, Nik Adilah Hanin Zahri, M. Hariharan

New Trends in data pre-processing methods for signal and image classification

Automatic sleep stages classification based on iterative filtering of electroencephalogram signals

Rajeev Sharma, Ram Bilas Pachori, Abhay Upadhyay

New Trends in data pre-processing methods for signal and image classification

Muscular synergy classification and myoelectric control using high-order cross-cumulants

Eugenio C. Orosco, Fernando di Sciascio

New Trends in data pre-processing methods for signal and image classification

RETRACTED ARTICLE: Tolerance rough set firefly-based quick reduct

Jothi Ganesan, Hannah H. Inbarani, Ahmad Taher Azar, Kemal Polat

New Trends in data pre-processing methods for signal and image classification

A novel image segmentation approach based on neutrosophic c-means clustering and indeterminacy filtering

Yanhui Guo, Rong Xia, Abdulkadir Şengür, Kemal Polat

New Trends in data pre-processing methods for signal and image classification

Hermite-based texture feature extraction for classification of humeral head in proton density-weighted MR images

Aysun Sezer, Hasan Basri Sezer, Songul Albayrak

New Trends in data pre-processing methods for signal and image classification

Unsupervised feature selection based on decision graph

Jinrong He, Yingzhou Bi, Lixin Ding, Zhaokui Li, Shenwen Wang

New Trends in data pre-processing methods for signal and image classification

ANN-based MPPT algorithm for solar PMSM drive system fed by direct-connected PV array

Erkan Deniz

New Trends in data pre-processing methods for signal and image classification

Application of empirical mode decomposition (EMD) for automated identification of congestive heart failure using heart rate signals

U. Rajendra Acharya, Hamido Fujita, Vidya K. Sudarshan, Shu Lih Oh, Adam Muhammad, Joel E. W. Koh, Jen Hong Tan, Chua K. Chua, Kok Poo Chua, Ru San Tan

New Trends in data pre-processing methods for signal and image classification

A new approach to eliminating EOG artifacts from the sleep EEG signals for the automatic sleep stage classification

Mehmet Dursun, Seral Özşen, Cüneyt Yücelbaş, Şule Yücelbaş, Gülay Tezel, Serkan Küççüktürk, Şebnem Yosunkaya

New Trends in data pre-processing methods for signal and image classification

An improved FCM algorithm with adaptive weights based on SA-PSO

Ziheng Wu, Zhongcheng Wu, Jun Zhang

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