Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference : Proceedings of the EANN 2020 / Lazaros Iliadis, Plamen Parvanov Angelov, Chrisina Jayne, Elias Pimenidis, editors.
"This book gathers the proceedings of the 21st Engineering Applications of Neural Networks Conference, which is supported by the International Neural Networks Society (INNS). Artificial Intelligence (AI) has been following a unique course, characterized by alternating growth spurts and “AI wint...
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| Other Authors: | , , , |
| Format: | Ebook |
| Language: | English |
| Published: |
Cham :
Springer,
2020.
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| Series: | Proceedings of the International Neural Networks Society ;
v. 2. |
| Subjects: | |
| Online Access: | Springer eBooks |
Table of Contents:
- Classification/Machine Learning:
- A Compact Sequence Encoding Scheme for Online Human Activity Recognition in HRI Applications / Georgios Tsatiris, Kostas Karpouzis, Stefanos Kollias
- Classification of Coseismic Landslides Using Fuzzy and Machine Learning Techniques / Anastasios Panagiotis Psathas, Antonios Papaleonidas, George Papathanassiou, Sotiris Valkaniotis, Lazaros Iliadis
- Evaluating the Transferability of Personalised Exercise Recognition Models / Anjana Wijekoon, Nirmalie Wiratunga
- Convolutional Neural Networks in Robotics/Computer Vision:
- Deep Learning-Based Computer Vision Application with Multiple Built-In Data Science-Oriented Capabilities / Sorin Liviu Jurj, Flavius Opritoiu, Mircea Vladutiu
- Visual Movement Prediction for Stable Grasp Point Detection / Constanze Schwan, Wolfram Schenck
- Machine Learning in Engineering and Environment:
- Accomplished Reliability Level for Seismic Structural Damage Prediction Using Artificial Neural Networks / Magdalini Tyrtaiou, Antonios Papaleonidas, Anaxagoras Elenas, Lazaros Iliadis
- Efficient Implementation of a Self-sufficient Solar-Powered Real-Time Deep Learning-Based System / Sorin Liviu Jurj, Raul Rotar, Flavius Opritoiu, Mircea Vladutiu
- Leveraging Radar Features to Improve Point Clouds Segmentation with Neural Networks / Alessandro Cennamo, Florian Kaestner, Anton Kummert
- LSTM Neural Network for Fine-Granularity Estimation on Baseline Load of Fast Demand Response / Shun Matsukawa, Keita Suzuki, Chuzo Ninagawa, Junji Morikawa, Seiji Kondo
- Predicting Permeability Based on Core Analysis / Harry Kontopoulos, Hatem Ahriz, Eyad Elyan, Richard Arnold
- Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network / Serafín Alonso, Antonio Morán, Daniel Pérez, Miguel A. Prada, Juan J. Fuertes, Manuel Domínguez
- Reconstructing Environmental Variables with Missing Field Data via End-to-End Machine Learning / Matteo Sangiorgio, Stefano Barindelli, Valerio Guglieri, Giovanna Venuti, Giorgio Guariso
- Semantic Segmentation Based on Convolution Neural Network for Steel Strip Position Estimation / Aline de Faria Lemos, Bálazs Vince Nagy
- Towards a Digital Twin with Generative Adversarial Network Modelling of Machining Vibration / Evgeny Zotov, Ashutosh Tiwari, Visakan Kadirkamanathan
- <span class="mathjax-tex">\(\lambda \)</span>-DNNs and Their Implementation in Aerodynamic and Conjugate Heat Transfer Optimization / Marina Kontou, Dimitrios Kapsoulis, Ioannis Baklagis, Kyriakos Giannakoglou
- Symbols in Engineering Drawings (SiED): An Imbalanced Dataset Benchmarked by Convolutional Neural Networks / Eyad Elyan, Carlos Francisco Moreno-García, Pamela Johnston
- A Novel Spatial-Spectral Framework for the Classification of Hyperspectral Satellite Imagery / Shriya T. P. Gupta, Sanjay K. Sahay
- Detection of Shocking Images as One-Class Classification Using Convolutional and Siamese Neural Networks / Pavel Gulyaev, Andrey Filchenkov
- Factors Affecting Accuracy of Convolutional Neural Network Using VGG-16 / Jyoti Rawat, Doina Logofătu, Sruthi Chiramel
- Image Recoloring of Art Paintings for the Color Blind Guided by Semantic Segmentation / Stamatis Chatzistamatis, Anastasios Rigos, George E. Tsekouras
- Large-Scale Geospatial Data Analysis: Geographic Object-Based Scene Classification in Remote Sensing Images by GIS and Deep Residual Learning / Konstantinos Demertzis, Lazaros Iliadis, Elias Pimenidis
- Semantic Segmentation of Vineyard Images Using Convolutional Neural Networks / Theofanis Kalampokas, Konstantinos Tziridis, Alexandros Nikolaou, Eleni Vrochidou, George A. Papakostas, Theodore Pachidis et al.
- Towards a Reliable Face Recognition System / Adamu Ali-Gombe, Eyad Elyan, Johan Zwiegelaar
- Machine Learning in Medical Systems and Applications:
- Automated Screening of Patients for Dietician Referral / Kamran Soomro, Elias Pimenidis
- Drug2vec: A Drug Embedding Method with Drug-Drug Interaction as the Context / Pengfei Liu, Xubin Zheng, Man-Hon Wong, Kwong-Sak Leung
- Feature Selection with Artificial Bee Colony Algorithms for Classifying Parkinson’s Diseases / Rafet Durgut, Yusuf Yargı Baydilli, Mehmet Emin Aydin
- Medical Knowledge-Based Deep Learning Framework for Disease Prediction on Unstructured Radiology Free-Text Reports Under Low Data Condition / Shashank Shetty, V. S. Ananthanarayana, Ajit Mahale
- Multidataset Incremental Training for Optic Disc Segmentation / Javier Civit-Masot, Antonis Billis, MJ Dominguez-Morales, Saturnino Vicente-Diaz, Anton Civit
- On Image Prefiltering for Skin Lesion Characterization Utilizing Deep Transfer Learning / K. Delibasis, S. V. Georgakopoulos, S. K. Tasoulis, I. Maglogiannis, V. P. Plagianakos
- Identification of Eyelid Basal Cell Carcinoma Using Artificial Neural Networks / Evagelos Georgios Chatzopoulos, George Anastassopoulos, Efstathios Detorakis, Adam Adamopoulos
- Fuzzy Logic Modeling:
- Application of Algorithmic Fuzzy Implications on Climatic Data / Stefanos Makariadis, Georgios Souliotis, Basil K. Papadopoulos
- Fuzzy Logic Application to Searchable Cryptography / Hassan B. Kazemian, Yang Ma
- Personal Car Driver Black Box: A Wearable System for Data Log and Prediction Based on EVOS Paradigms / Mario Malcangi
- Instance Weighted Clustering: Local Outlier Factor and K-Means / Paul Moggridge, Na Helian, Yi Sun, Mariana Lilley, Vito Veneziano
- Detecting Pattern Efficiently with Don’t Cares / Hayam Alamro, Costas Iliopoulos
- Eye Movement Data Analysis / Olga Georgieva, Nadejda Bocheva, Bilyana Genova, Miroslava Stefanova
- Machine Learning for Neuro/Biological Modeling:
- Computational Complexity of Kabsch and Quaternion Based Algorithms for Molecular Superimposition in Computational Chemistry / Rafael Dolezal, Katerina Fronckova, Ayca Kirimtat, Ondrej Krejcar
- Electronic Equivalent of Consciousness with Elementary Mental Process Model / Leonard Bernau, Filip Paulu, Jan Voves
- Metalearning-Non Linear Engineering Modelling:
- A Metalearning Study for Robust Nonlinear Regression / Jan Kalina, Petra Vidnerová
- An ASP-Based Approach for Phase Balancing in Power Electrical Systems / Theofanis Aravanis, Andreas Petratos, Georgia Douklia
- Neural Networks Algorithmic Foundations:
- A New Lyapunov Analysis of Robust Stability of Neural Networks with Discrete Time Delays / Sabri Arik
- Generalized Entropy Loss Function in Neural Network: Variable’s Importance and Sensitivity Analysis / Krzysztof Gajowniczek, Tomasz Ząbkowski
- Robust Multilayer Perceptrons: Robust Loss Functions and Their Derivatives / Jan Kalina, Petra Vidnerová
- Stability Analysis of Neutral-Type Hopfield Neural Networks with Multiple Delays / Ozlem Faydasicok
- Reduction of Variables and Generation of Functions Through Nearest Neighbor Relations in Threshold Networks / Naohiro Ishii, Kazunori Iwata, Kazuya Odagiri, Toyoshiro Nakashima, Tokuro Matsuo
- Optimization/Machine Learning:
- A Comparative Study on Bayesian Optimization / Lam Gia Thuan, Doina Logofatu
- A Genetic Programming Method for Scale-Invariant Texture Classification / Haythem Ghazouani, Walid Barhoumi, Yosra Antit
- A Monetary Policy Strategy Based on Genetic Algorithms and Neural Networks / Talitha F. Speranza, Ricardo Tanscheit, Marley M. B. R. Vellasco.