Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference : Proceedings of the EANN 2020

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 winters.” Today, AI is an essential component of the fourth industrial revolution and enjoying its heyday. Further, in specific areas, AI is catching up with or even outperforming human beings. This book offers a comprehensive guide to AI in a variety of areas, concentrating on new or hybrid AI algorithmic approaches with robust applications in diverse sectors. One of the advantages of this book is that it includes robust algorithmic approaches and applications in a broad spectrum of scientific fields, namely the use of convolutional neural networks (CNNs), deep learning and LSTM in robotics/machine vision/engineering/image processing/medical systems/the environment; machine learning and meta learning applied to neurobiological modeling/optimization; state-of-the-art hybrid systems; and the algorithmic foundations of artificial neural networks. Front Matter ....Pages i-xxvii Front Matter ....Pages 1-1 A Compact Sequence Encoding Scheme for Online Human Activity Recognition in HRI Applications (Georgios Tsatiris, Kostas Karpouzis, Stefanos Kollias)....Pages 3-14 Classification of Coseismic Landslides Using Fuzzy and Machine Learning Techniques (Anastasios Panagiotis Psathas, Antonios Papaleonidas, George Papathanassiou, Sotiris Valkaniotis, Lazaros Iliadis)....Pages 15-31 Evaluating the Transferability of Personalised Exercise Recognition Models (Anjana Wijekoon, Nirmalie Wiratunga)....Pages 32-44 Front Matter ....Pages 45-45 Deep Learning-Based Computer Vision Application with Multiple Built-In Data Science-Oriented Capabilities (Sorin Liviu Jurj, Flavius Opritoiu, Mircea Vladutiu)....Pages 47-69 Visual Movement Prediction for Stable Grasp Point Detection (Constanze Schwan, Wolfram Schenck)....Pages 70-81 Front Matter ....Pages 83-83 Accomplished Reliability Level for Seismic Structural Damage Prediction Using Artificial Neural Networks (Magdalini Tyrtaiou, Antonios Papaleonidas, Anaxagoras Elenas, Lazaros Iliadis)....Pages 85-98 Efficient Implementation of a Self-sufficient Solar-Powered Real-Time Deep Learning-Based System (Sorin Liviu Jurj, Raul Rotar, Flavius Opritoiu, Mircea Vladutiu)....Pages 99-118 Leveraging Radar Features to Improve Point Clouds Segmentation with Neural Networks (Alessandro Cennamo, Florian Kaestner, Anton Kummert)....Pages 119-131 LSTM Neural Network for Fine-Granularity Estimation on Baseline Load of Fast Demand Response (Shun Matsukawa, Keita Suzuki, Chuzo Ninagawa, Junji Morikawa, Seiji Kondo)....Pages 132-142 Predicting Permeability Based on Core Analysis (Harry Kontopoulos, Hatem Ahriz, Eyad Elyan, Richard Arnold)....Pages 143-154 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)....Pages 155-166 Reconstructing Environmental Variables with Missing Field Data via End-to-End Machine Learning (Matteo Sangiorgio, Stefano Barindelli, Valerio Guglieri, Giovanna Venuti, Giorgio Guariso)....Pages 167-178 Semantic Segmentation Based on Convolution Neural Network for Steel Strip Position Estimation (Aline de Faria Lemos, Bálazs Vince Nagy)....Pages 179-189 Towards a Digital Twin with Generative Adversarial Network Modelling of Machining Vibration (Evgeny Zotov, Ashutosh Tiwari, Visakan Kadirkamanathan)....Pages 190-201 \(\lambda \)-DNNs and Their Implementation in Aerodynamic and Conjugate Heat Transfer Optimization (Marina Kontou, Dimitrios Kapsoulis, Ioannis Baklagis, Kyriakos Giannakoglou)....Pages 202-214 Symbols in Engineering Drawings (SiED): An Imbalanced Dataset Benchmarked by Convolutional Neural Networks (Eyad Elyan, Carlos Francisco Moreno-García, Pamela Johnston)....Pages 215-224 Front Matter ....Pages 225-225 A Novel Spatial-Spectral Framework for the Classification of Hyperspectral Satellite Imagery (Shriya T. P. Gupta, Sanjay K. Sahay)....Pages 227-239 Detection of Shocking Images as One-Class Classification Using Convolutional and Siamese Neural Networks (Pavel Gulyaev, Andrey Filchenkov)....Pages 240-250 Factors Affecting Accuracy of Convolutional Neural Network Using VGG-16 (Jyoti Rawat, Doina Logofătu, Sruthi Chiramel)....Pages 251-260 Image Recoloring of Art Paintings for the Color Blind Guided by Semantic Segmentation (Stamatis Chatzistamatis, Anastasios Rigos, George E. Tsekouras)....Pages 261-273 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)....Pages 274-291 Semantic Segmentation of Vineyard Images Using Convolutional Neural Networks (Theofanis Kalampokas, Konstantinos Tziridis, Alexandros Nikolaou, Eleni Vrochidou, George A. Papakostas, Theodore Pachidis et al.)....Pages 292-303 Towards a Reliable Face Recognition System (Adamu Ali-Gombe, Eyad Elyan, Johan Zwiegelaar)....Pages 304-316 Front Matter ....Pages 317-317 Automated Screening of Patients for Dietician Referral (Kamran Soomro, Elias Pimenidis)....Pages 319-325 Drug2vec: A Drug Embedding Method with Drug-Drug Interaction as the Context (Pengfei Liu, Xubin Zheng, Man-Hon Wong, Kwong-Sak Leung)....Pages 326-337 Feature Selection with Artificial Bee Colony Algorithms for Classifying Parkinson’s Diseases (Rafet Durgut, Yusuf Yargı Baydilli, Mehmet Emin Aydin)....Pages 338-351 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)....Pages 352-364 Multidataset Incremental Training for Optic Disc Segmentation (Javier Civit-Masot, Antonis Billis, MJ Dominguez-Morales, Saturnino Vicente-Diaz, Anton Civit)....Pages 365-376 On Image Prefiltering for Skin Lesion Characterization Utilizing Deep Transfer Learning (K. Delibasis, S. V. Georgakopoulos, S. K. Tasoulis, I. Maglogiannis, V. P. Plagianakos)....Pages 377-388 Identification of Eyelid Basal Cell Carcinoma Using Artificial Neural Networks (Evagelos Georgios Chatzopoulos, George Anastassopoulos, Efstathios Detorakis, Adam Adamopoulos)....Pages 389-396 Front Matter ....Pages 397-397 Application of Algorithmic Fuzzy Implications on Climatic Data (Stefanos Makariadis, Georgios Souliotis, Basil K. Papadopoulos)....Pages 399-409 Fuzzy Logic Application to Searchable Cryptography (Hassan B. Kazemian, Yang Ma)....Pages 410-422 Personal Car Driver Black Box: A Wearable System for Data Log and Prediction Based on EVOS Paradigms (Mario Malcangi)....Pages 423-431 Front Matter ....Pages 433-433 Instance Weighted Clustering: Local Outlier Factor and K-Means (Paul Moggridge, Na Helian, Yi Sun, Mariana Lilley, Vito Veneziano)....Pages 435-446 Detecting Pattern Efficiently with Don’t Cares (Hayam Alamro, Costas Iliopoulos)....Pages 447-459 Eye Movement Data Analysis (Olga Georgieva, Nadejda Bocheva, Bilyana Genova, Miroslava Stefanova)....Pages 460-470 Front Matter ....Pages 471-471 Computational Complexity of Kabsch and Quaternion Based Algorithms for Molecular Superimposition in Computational Chemistry (Rafael Dolezal, Katerina Fronckova, Ayca Kirimtat, Ondrej Krejcar)....Pages 473-486 Electronic Equivalent of Consciousness with Elementary Mental Process Model (Leonard Bernau, Filip Paulu, Jan Voves)....Pages 487-496 Front Matter ....Pages 497-497 A Metalearning Study for Robust Nonlinear Regression (Jan Kalina, Petra Vidnerová)....Pages 499-510 An ASP-Based Approach for Phase Balancing in Power Electrical Systems (Theofanis Aravanis, Andreas Petratos, Georgia Douklia)....Pages 511-520 Front Matter ....Pages 521-521 A New Lyapunov Analysis of Robust Stability of Neural Networks with Discrete Time Delays (Sabri Arik)....Pages 523-534 Generalized Entropy Loss Function in Neural Network: Variable’s Importance and Sensitivity Analysis (Krzysztof Gajowniczek, Tomasz Ząbkowski)....Pages 535-545 Robust Multilayer Perceptrons: Robust Loss Functions and Their Derivatives (Jan Kalina, Petra Vidnerová)....Pages 546-557 Stability Analysis of Neutral-Type Hopfield Neural Networks with Multiple Delays (Ozlem Faydasicok)....Pages 558-568 Reduction of Variables and Generation of Functions Through Nearest Neighbor Relations in Threshold Networks (Naohiro Ishii, Kazunori Iwata, Kazuya Odagiri, Toyoshiro Nakashima, Tokuro Matsuo)....Pages 569-578 Front Matter ....Pages 579-579 A Comparative Study on Bayesian Optimization (Lam Gia Thuan, Doina Logofatu)....Pages 581-592 A Genetic Programming Method for Scale-Invariant Texture Classification (Haythem Ghazouani, Walid Barhoumi, Yosra Antit)....Pages 593-604 A Monetary Policy Strategy Based on Genetic Algorithms and Neural Networks (Talitha F. Speranza, Ricardo Tanscheit, Marley M. B. R. Vellasco)....Pages 605-616 Back Matter ....Pages 617-619