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Neural Computing and Applications

Ausgabe 18/2020

Special Issue on Extreme Learning Machine and Deep Learning Networks (pp.14241/14518)/ Deep Learning Approaches for Real-Time Image Super-Resolution (DLRSR)(pp. 14519/14622)

Inhalt (70 Artikel)

Extreme Learning Machine and Deep Learning Networks

A new intelligent pattern classifier based on deep-thinking

Zhenyi Shen, Zhihong Man, Zhenwei Cao, Jinchuan Zheng

Extreme Learning Machine and Deep Learning Networks

Inverse partitioned matrix-based semi-random incremental ELM for regression

Guoqiang Zeng, Fenxi Yao, Baihai Zhang

Extreme Learning Machine and Deep Learning Networks

Gait recognition using multichannel convolution neural networks

Xiuhui Wang, Jiajia Zhang, Wei Qi Yan

Extreme Learning Machine and Deep Learning Networks

Residual deep PCA-based feature extraction for hyperspectral image classification

Minchao Ye, Chenxi Ji, Hong Chen, Ling Lei, Huijuan Lu, Yuntao Qian

Extreme Learning Machine and Deep Learning Networks

Audiovisual cross-modal material surface retrieval

Zhuokun Liu, Huaping Liu, Wenmei Huang, Bowen Wang, Fuchun Sun

Extreme Learning Machine and Deep Learning Networks

Reinforcement learning and adaptive optimization of a class of Markov jump systems with completely unknown dynamic information

Shuping He, Maoguang Zhang, Haiyang Fang, Fei Liu, Xiaoli Luan, Zhengtao Ding

Extreme Learning Machine and Deep Learning Networks

Object affordance detection with relationship-aware network

Xue Zhao, Yang Cao, Yu Kang

Extreme Learning Machine and Deep Learning Networks

Hierarchical attentive Siamese network for real-time visual tracking

Kang Yang, Huihui Song, Kaihua Zhang, Qingshan Liu

Extreme Learning Machine and Deep Learning Networks

Novel direct remaining useful life estimation of aero-engines with randomly assigned hidden nodes

Jian-Ming Bai, Guang-She Zhao, Hai-Jun Rong

Extreme Learning Machine and Deep Learning Networks

A machine-learning-enhanced hierarchical multiscale method for bridging from molecular dynamics to continua

Shaoping Xiao, Renjie Hu, Zhen Li, Siamak Attarian, Kaj-Mikael Björk, Amaury Lendasse

Extreme Learning Machine and Deep Learning Networks

An event recommendation model using ELM in event-based social network

Boyang Li, Guoren Wang, Yurong Cheng, Yongjiao Sun, Xin Bi

Extreme Learning Machine and Deep Learning Networks

An experimental evaluation of extreme learning machines on several hardware devices

Liang Li, Guoren Wang, Gang Wu, Qi Zhang

Extreme Learning Machine and Deep Learning Networks

Adaptive neural tracking control for automotive engine idle speed regulation using extreme learning machine

Pak Kin Wong, Wei Huang, Chi Man Vong, Zhixin Yang

Extreme Learning Machine and Deep Learning Networks

ELM-based driver torque demand prediction and real-time optimal energy management strategy for HEVs

Jiangyan Zhang, Fuguo Xu, Yahui Zhang, Teilong Shen

Extreme Learning Machine and Deep Learning Networks

Energy management strategy for electric vehicles based on deep Q-learning using Bayesian optimization

Huifang Kong, Jiapeng Yan, Hai Wang, Lei Fan

Extreme Learning Machine and Deep Learning Networks

Fast nonsingular terminal sliding mode control for permanent-magnet linear motor via ELM

Jie Zhang, Hai Wang, Zhenwei Cao, Jinchuan Zheng, Ming Yu, Amirmehdi Yazdani, Farhad Shahnia

Extreme Learning Machine and Deep Learning Networks

Robust surface reconstruction from highly noisy point clouds using distributed elastic networks

Zhenghua Zhou

Extreme Learning Machine and Deep Learning Networks

Hyperspectral image super-resolution using recursive densely convolutional neural network with spatial constraint strategy

Jianwei Zhao, Taoye Huang, Zhenghua Zhou

Extreme Learning Machine and Deep Learning Networks

A multi-target corner pooling-based neural network for vehicle detection

Li-Ying Hao, Jie Li, Ge Guo

Extreme Learning Machine and Deep Learning Networks

Extreme-learning-machine-based FNTSM control strategy for electronic throttle

Youhao Hu, Hai Wang, Zhenwei Cao, Jinchuan Zheng, Zhaowu Ping, Long Chen, Xiaozheng Jin

Editorial

Deep learning approaches for real-time image super-resolution

Pourya Shamsolmoali, M. Emre Celebi, Ruili Wang

Deep Learning Approaches for RealTime Image Super Resolution (DLRSR)

Perceptual image quality using dual generative adversarial network

Masoumeh Zareapoor, Huiyu Zhou, Jie Yang

Deep Learning Approaches for RealTime Image Super Resolution (DLRSR)

CASR: a context-aware residual network for single-image super-resolution

Yirui Wu, Xiaozhong Ji, Wanting Ji, Yan Tian, Helen Zhou

S.I. : Deep Learning Approaches for RealTime Image Super Resolution (DLRSR)

Arbitrary-oriented object detection via dense feature fusion and attention model for remote sensing super-resolution image

Fuhao Zou, Wei Xiao, Wanting Ji, Kunkun He, Zhixiang Yang, Jingkuan Song, Helen Zhou, Kai Li

S.I. : Deep Learning Approaches for RealTime Image Super Resolution (DLRSR)

A novel super-resolution CT image reconstruction via semi-supervised generative adversarial network

Xin Jiang, Mingzhe Liu, Feixiang Zhao, Xianghe Liu, Helen Zhou

S.I.: Deep Learning Approaches for RealTime Image Super Resolution (DLRSR)

GAN-Poser: an improvised bidirectional GAN model for human motion prediction

Deepak Kumar Jain, Masoumeh Zareapoor, Rachna Jain, Abhishek Kathuria, Shivam Bachhety

S.I. : Deep Learning Approaches for RealTime Image Super Resolution (DLRSR)

Spatiotemporal saliency-based multi-stream networks with attention-aware LSTM for action recognition

Zhenbing Liu, Zeya Li, Ruili Wang, Ming Zong, Wanting Ji

S.I. : Deep Learning Approaches for Realtime Image Super Resolution (DLRSR)

Trainable TV- model as recurrent nets for low-level vision

Yuqiang Fang, Zhihao Ma, Hao Zheng, Wanting Ji

S.I. : Deep Learning Approaches for RealTime Image Super Resolution (DLRSR)

A self-attention-based destruction and construction learning fine-grained image classification method for retail product recognition

Wenyong Wang, Yongcheng Cui, Guangshun Li, Chuntao Jiang, Song Deng

Original Article

A hybrid representation-based simile component extraction

Da Ren, Pengfei Zhang, Qing Li, Xiaohui Tao, Junying Chen, Yi Cai

Original Article

Robust control based on adaptive neural network for Rotary inverted pendulum with oscillation compensation

Seyed Hassan Zabihifar, Arkady Semenovich Yushchenko, Hamed Navvabi

Original Article

Predicting ground vibration induced by rock blasting using a novel hybrid of neural network and itemset mining

Maryam Amiri, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh

Original Article

Constructing domain-dependent sentiment dictionary for sentiment analysis

Murtadha Ahmed, Qun Chen, Zhanhuai Li

Original Article

DeNNeS: deep embedded neural network expert system for detecting cyber attacks

Samaneh Mahdavifar, Ali A. Ghorbani

Open Access Original Article

On defending against label flipping attacks on malware detection systems

Rahim Taheri, Reza Javidan, Mohammad Shojafar, Zahra Pooranian, Ali Miri, Mauro Conti

Open Access Original Article

Breadth search strategies for finding minimal reducts: towards hardware implementation

Mateusz Choromański, Tomasz Grześ, Piotr Hońko

Open Access Original Article

Cloud customers service selection scheme based on improved conventional cat swarm optimization

Danlami Gabi, Abdul Samad Ismail, Anazida Zainal, Zalmiyah Zakaria, Ajith Abraham, Nasiru Muhammed Dankolo

Original Article

Prediction of attentional focus from respiration with simple feed-forward and time delay neural networks

Michael Christopher Melnychuk, Peter R. Murphy, Ian H. Robertson, Joshua H. Balsters, Paul M. Dockree

Original Article

Urban traffic flows forecasting by recurrent neural networks with spiral structures of layers

Vasiliy Osipov, Victor Nikiforov, Nataly Zhukova, Dmitriy Miloserdov

Original Article

A support vector regression model for the prediction of total polyaromatic hydrocarbons in soil: an artificial intelligent system for mapping environmental pollution

Adeola A. Akinpelu, Md. Eaqub Ali, Taoreed O. Owolabi, Mohd R. Johan, R. Saidur, Sunday O. Olatunji, Zaira Chowdbury

Original Article

Optimum profit-driven churn decision making: innovative artificial neural networks in telecom industry

Ruholla Jafari-Marandi, Joshua Denton, Adnan Idris, Brian K. Smith, Abbas Keramati

Open Access Original Article

KGAnet: a knowledge graph attention network for enhancing natural language inference

Meina Song, Wen Zhao, E. HaiHong

Original Article

Global and local multi-view multi-label learning with incomplete views and labels

Changming Zhu, Panhong Wang, Lin Ma, Rigui Zhou, Lai Wei

Original Article

Using deep learning for short-term load forecasting

Nadjib Mohamed Mehdi Bendaoud, Nadir Farah

Original Article

Transforming view of medical images using deep learning

Nitesh Pradhan, Vijaypal Singh Dhaka, Geeta Rani, Himanshu Chaudhary

Original Article

Multi-cohort intelligence algorithm for solving advanced manufacturing process problems

Apoorva S. Shastri, Aniket Nargundkar, Anand J. Kulkarni, Kamal Kumar Sharma

Original Article

A multi-stage learning-based fuzzy cognitive maps for tobacco use

Pınar Kocabey Çiftçi, Zeynep Didem Unutmaz Durmuşoğlu

Original Article

A generative adversarial network with adaptive constraints for multi-focus image fusion

Jun Huang, Zhuliang Le, Yong Ma, Xiaoguang Mei, Fan Fan

Original Article

Fault classification in three-phase motors based on vibration signal analysis and artificial neural networks

Ronny Francis Ribeiro Junior, Fabrício Alves de Almeida, Guilherme Ferreira Gomes

Original Article

Handwritten word recognition using lottery ticket hypothesis based pruned CNN model: a new benchmark on CMATERdb2.1.2

Samir Malakar, Sayantan Paul, Soumyadeep Kundu, Showmik Bhowmik, Ram Sarkar, Mita Nasipuri

Original Article

Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm

Le Hoang Son, Angelo Ciaramella, Duong Thi Thu Huyen, Antonino Staiano, Tran Manh Tuan, Pham Van Hai

Open Access Original Article

Thresholded ConvNet ensembles: neural networks for technical forecasting

Sid Ghoshal, Stephen Roberts