Ausgabe 1/2021
Special Issue on Neural Networks in Art, sound and Design
Inhalt (26 Artikel)
Deep learning of individual aesthetics
Jon McCormack, Andy Lomas
Deep learning for procedural content generation
Jialin Liu, Sam Snodgrass, Ahmed Khalifa, Sebastian Risi, Georgios N. Yannakakis, Julian Togelius
From artificial neural networks to deep learning for music generation: history, concepts and trends
Jean-Pierre Briot
Latent Timbre Synthesis
Kıvanç Tatar, Daniel Bisig, Philippe Pasquier
Prediction of engineering properties of fly ash-based geopolymer using artificial neural networks
Yifeng Ling, Kejin Wang, Xuhao Wang, Wengui Li
Minimal neural network topology optimization for aesthetic classification
Adrian Carballal, Francisco Cedron, Iria Santos, Antonino Santos, Juan Romero
Artificial Neural Networks and Deep Learning in the Visual Arts: a review
Iria Santos, Luz Castro, Nereida Rodriguez-Fernandez, Álvaro Torrente-Patiño, Adrián Carballal
Analysis of hydraulic conductivity of fractured groundwater flow media using artificial neural network back propagation
Tedy Agung Cahyadi, Zuher Syihab, Lilik Eko Widodo, Sudarto Notosiswoyo, Eman Widijanto
Assessment of relative impacts of various geo-mining factors on methane dispersion for safety in gassy underground coal mines: an artificial neural networks approach
Devi Prasad Mishra, Durga Charan Panigrahi, Pradeep Kumar, Abhijeet Kumar, Pritam Kumar Sinha
Adaptive fuzzy fault-tolerant control using Nussbaum-type function with state-dependent actuator failures
Abdelhamid Bounemeur, Mohamed Chemachema
Pollution source intelligent location algorithm in water quality sensor networks
Xuesong Yan, Jingyu Gong, Qinghua Wu
Diagnosis of Alzheimer disease in MR brain images using optimization techniques
D. Chitradevi, S. Prabha, Alex Daniel Prabhu
Research on tunnel engineering monitoring technology based on BPNN neural network and MARS machine learning regression algorithm
Jianbo Fei, Zezhou Wu, Xiaohui Sun, Dong Su, Xiaohua Bao
Research on financial assets transaction prediction model based on LSTM neural network
Xue Yan, Wang Weihan, Miao Chang
A fused contextual color image thresholding using cuttlefish algorithm
Ashish Kumar Bhandari, Kusuma Rahul, Syed Shahnawazuddin
Multi-step least squares support vector machine modeling approach for forecasting short-term electricity demand with application
Ranran Li, Xueli Chen, Tomas Balezentis, Dalia Streimikiene, Zhiyong Niu
Forecasting tunnel geology, construction time and costs using machine learning methods
Arsalan Mahmoodzadeh, Mokhtar Mohammadi, Ako Daraei, Hunar Farid Hama Ali, Abdulqadir Ismail Abdullah, Nawzad Kameran Al-Salihi
Fuzzy recurrence plot-based analysis of dynamic and static spiral tests of Parkinson’s disease patients
İsmail Cantürk
J-LDFR: joint low-level and deep neural network feature representations for pedestrian gender classification
Muhammad Fayyaz, Mussarat Yasmin, Muhammad Sharif, Mudassar Raza
A novel system for fast and accurate decisions of gold-stock markets in the short-term prediction
Mohamed A. El-Rashidy
Spiking neural firefly optimization scheme for the capacitated dynamic vehicle routing problem with time windows
Resmi RamachandranPillai, Michael Arock
Criminal psychological emotion recognition based on deep learning and EEG signals
Qi Liu, Hongguang Liu
An image database of handwritten Bangla words with automatic benchmarking facilities for character segmentation algorithms
Samir Malakar, Ram Sarkar, Subhadip Basu, Mahantapas Kundu, Mita Nasipuri
A deeply coupled ConvNet for human activity recognition using dynamic and RGB images
Tej Singh, Dinesh Kumar Vishwakarma
A proposed decentralized formation control algorithm for robot swarm based on an optimized potential field method
Basma Gh. Elkilany, A. A. Abouelsoud, Ahmed M. R. Fathelbab, Hiroyuki Ishii