Ausgabe 13/2021
Special Issue on Best of DICTA 2019 Papers
Inhalt (50 Artikel)
Neural computing and applications (NCAA) special issue on best of DICTA 2019 papers
Ajmal Saeed Mian, Lei Wang, Ruiping Wang, Hamid Laga, Naveed Akhtar
A bio-inspired spatiotemporal contrast operator for small and low-heat-signature target detection in infrared imagery
Muhammad Uzair, Russell SA Brinkworth, Anthony Finn
Visual localization under appearance change: filtering approaches
Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Shin-Fang Ch’ng, Thanh-Toan Do, Ian Reid
Historical document image binarization via style augmentation and atrous convolutions
Hanif Rasyidi, Salman Khan
A part-based spatial and temporal aggregation method for dynamic scene recognition
Xiaoming Peng, Abdesselam Bouzerdoum, Son Lam Phung
Hierarchical class grouping with orthogonal constraint for class activation map generation
Fanman Meng, Kaixu Huang, Hongliang Li, Shuai Chen, Qingbo Wu, King N. Ngan
Enhanced convolutional LSTM with spatial and temporal skip connections and temporal gates for facial expression recognition from video
Ryo Miyoshi, Noriko Nagata, Manabu Hashimoto
Data augmentation for patch-based OCT chorio-retinal segmentation using generative adversarial networks
Jason Kugelman, David Alonso-Caneiro, Scott A. Read, Stephen J. Vincent, Fred K. Chen, Michael J. Collins
Efficient structured pruning based on deep feature stabilization
Sheng Xu, Hanlin Chen, Xuan Gong, Kexin Liu, Jinhu Lü, Baochang Zhang
Fixed-Lens camera setup and calibrated image registration for multifocus multiview 3D reconstruction
Shah Ariful Hoque Chowdhury, Chuong Nguyen, Hengjia Li, Richard Hartley
Show, tell and summarise: learning to generate and summarise radiology findings from medical images
Sonit Singh, Sarvnaz Karimi, Kevin Ho-Shon, Len Hamey
Novel design of artificial ecosystem optimizer for large-scale optimal reactive power dispatch problem with application to Algerian electricity grid
Souhil Mouassa, Francisco Jurado, Tarek Bouktir, Muhammad Asif Zahoor Raja
Machine learning ensemble with image processing for pest identification and classification in field crops
Thenmozhi Kasinathan, Srinivasulu Reddy Uyyala
Hesitant fuzzy N-soft ELECTRE-II model: a new framework for decision-making
Muhammad Akram, Arooj Adeel, Ahmad N. Al-Kenani, José Carlos R. Alcantud
Music genre profiling based on Fisher manifolds and Probabilistic Quantum Clustering
Raúl V. Casaña-Eslava, Ian H. Jarman, Sandra Ortega-Martorell, Paulo J. G. Lisboa, José D. Martín-Guerrero
Detection of anomaly intrusion utilizing self-adaptive grasshopper optimization algorithm
Alok Kumar Shukla
Fisher information-empowered sensing quality quantification for crowdsensing networks
Chaocan Xiang, Xiaochen Fan, Chao Chen, Liangyi Gong, Songtao Guo
Adaptive online prediction of operator position in teleoperation with unknown time-varying delay: simulation and experiments
Moein Nikpour, Behnam Yazdankhoo, Borhan Beigzadeh, Ali Meghdari
Synergy between traditional classification and classification based on negative features in deep convolutional neural networks
Nemanja Milošević, Miloš Racković
Discrimination of cycling patterns using accelerometric data and deep learning techniques
Aleš Procházka, Hana Charvátová, Oldřich Vyšata, Delaram Jarchi, Saeid Sanei
Classification of the stages of Parkinson’s disease using novel higher-order statistical features of EEG signals
Seyed Alireza Khoshnevis, Ravi Sankar
Soft computing model coupled with statistical models to estimate future of stock market
Sarbjit Singh, Kulwinder Singh Parmar, Jatinder Kumar
Improved adaptive neuro-fuzzy inference system based on modified glowworm swarm and differential evolution optimization algorithm for medical diagnosis
Kishore Balasubramanian, N. P. Ananthamoorthy
Security risk and response analysis of typical application architecture of information and communication blockchain
Hongwei Zhao, Moli Zhang, Shi Wang, Entang Li, Zhenhua Guo, Dianmin Sun
RealHePoNet: a robust single-stage ConvNet for head pose estimation in the wild
Rafael Berral-Soler, Francisco J. Madrid-Cuevas, Rafael Muñoz-Salinas, Manuel J. Marín-Jiménez
Local improvement approach and linear discriminant analysis-based local binary pattern for face recognition
Saeed Najafi Khanbebin, Vahid Mehrdad
Unsupervised domain adaptation with adversarial distribution adaptation network
Qiang Zhou, Wen’an Zhou, Shirui Wang, Ying Xing
Spectrum interference-based two-level data augmentation method in deep learning for automatic modulation classification
Qinghe Zheng, Penghui Zhao, Yang Li, Hongjun Wang, Yang Yang
Analysis of acceptable additive consistency and consensus of group decision making with interval-valued hesitant fuzzy preference relations
Jie Tang, Yunning Zhang, Hamido Fujita, Xiaodan Zhang, Fanyong Meng
Tumor edge detection in mammography images using quantum and machine learning approaches
Amani Tariq Jamal, Anis Ben Ishak, Sayed Abdel-Khalek
Remaining useful life (RUL) prediction of internal combustion engine timing belt based on vibration signals and artificial neural network
Meghdad Khazaee, Ahmad Banakar, Barat Ghobadian, Mostafa Agha Mirsalim, Saeid Minaei
Detection of threat objects in baggage inspection with X-ray images using deep learning
Daniel Saavedra, Sandipan Banerjee, Domingo Mery
Modeling algal atypical proliferation in La Barca reservoir using L-SHADE optimized gradient boosted regression trees: a case study
Paulino José García-Nieto, Esperanza García-Gonzalo, José Ramón Alonso Fernández, Cristina Díaz Muñiz
A new formation of supervised dimensionality reduction method for moving vehicle classification
K. Silpaja Chandrasekar, P. Geetha
Artificial neural network (ANN), M5P-tree, and regression analyses to predict the early age compression strength of concrete modified with DBC-21 and VK-98 polymers
Ahmed Mohammed, Lajan Burhan, Kawan Ghafor, Warzer Sarwar, Wael Mahmood
A novel dynamic recurrent functional link neural network-based identification of nonlinear systems using Lyapunov stability analysis
Rajesh Kumar, Smriti Srivastava
A new fuzzy-stochastic compromise ratio approach for green supplier selection problem with interval-valued possibilistic statistical information
N. Foroozesh, F. Jolai, S. M. Mousavi, B. Karimi
An improved lasso regression model for evaluating the efficiency of intervention actions in a system reliability analysis
Mohammad Yazdi, Noorbakhsh Amiri Golilarz, Arman Nedjati, Kehinde A. Adesina
Memristor-based BAM circuit implementation for image associative memory and filling-in
Zijia Yang, Xiaoping Wang
Fixed-time control of competitive complex networks
Wanli Zhang, Xinsong Yang, Shiju Yang, Chuangxia Huang, Fuad E. Alsaadi
Synchronization of coupled memristive inertial delayed neural networks with impulse and intermittent control
Wei Zhang, Jiangtao Qi
Patchwise dictionary learning for video forest fire smoke detection in wavelet domain
Xuehui Wu, Yichao Cao, Xiaobo Lu, Henry Leung
Predicting cardiovascular events with deep learning approach in the context of the internet of things
Sina Dami, Mahtab Yahaghizadeh
Exploiting heterogeneity in operational neural networks by synaptic plasticity
Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj
Transformer guided geometry model for flow-based unsupervised visual odometry
Xiangyu Li, Yonghong Hou, Pichao Wang, Zhimin Gao, Mingliang Xu, Wanqing Li
Unconfined compressive strength (UCS) prediction in real-time while drilling using artificial intelligence tools
Ahmed Gowida, Salaheldin Elkatatny, Hany Gamal
AutoFCL: automatically tuning fully connected layers for handling small dataset
S. H. Shabbeer Basha, Sravan Kumar Vinakota, Shiv Ram Dubey, Viswanath Pulabaigari, Snehasis Mukherjee
Hybrid signal processing/machine learning and PSO optimization model for conjunctive management of surface–groundwater resources
Mohammad Zare, Manfred Koch
Control of twin-double pendulum lower extremity exoskeleton system with fuzzy logic control method
A. K. Tanyildizi, O. Yakut, B. Taşar, A. B. Tatar