Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications

Front Matter ....Pages i-xii
 Machine Learning Paradigms: Introduction to Deep Learning-Based Technological Applications  (George A. Tsihrintzis, Lakhmi C. Jain)....Pages 1-5
Front Matter ....Pages 7-7
 Vision to Language: Methods, Metrics and Datasets  (Naeha Sharif, Uzair Nadeem, Syed Afaq Ali Shah, Mohammed Bennamoun, Wei Liu)....Pages 9-62
 Deep Learning Techniques for Geospatial Data Analysis  (Arvind W. Kiwelekar, Geetanjali S. Mahamunkar, Laxman D. Netak, Valmik B Nikam)....Pages 63-81
 Deep Learning Approaches in Food Recognition  (Chairi Kiourt, George Pavlidis, Stella Markantonatou)....Pages 83-108
Front Matter ....Pages 109-109
 Deep Learning for Twitter Sentiment Analysis: The Effect of Pre-trained Word Embedding  (Akrivi Krouska, Christos Troussas, Maria Virvou)....Pages 111-124
 A Good Defense Is a Strong DNN: Defending the IoT with Deep Neural Networks  (Luke Holbrook, Miltiadis Alamaniotis)....Pages 125-145
Front Matter ....Pages 147-147
 Survey on Deep Learning Techniques for Medical Imaging Application Area  (Shymaa Abou Arkoub, Amir Hajjam El Hassani, Fabrice Lauri, Mohammad Hajjar, Bassam Daya, Sophie Hecquet et al.)....Pages 149-189
 Deep Learning Methods in Electroencephalography  (Krzysztof Kotowski, Katarzyna Stapor, Jeremi Ochab)....Pages 191-212
Front Matter ....Pages 213-213
 The Implementation and the Design of a Hybriddigital PI Control Strategy Based on MISO Adaptive Neural Network Fuzzy Inference System Models–A MIMO Centrifugal Chiller Case Study  (Roxana-Elena Tudoroiu, Mohammed Zaheeruddin, Sorin Mihai Radu, Dumitru Dan Burdescu, Nicolae Tudoroiu)....Pages 215-235
 A Review of Deep Reinforcement Learning Algorithms and Comparative Results on Inverted Pendulum System  (Recep Özalp, Nuri Köksal Varol, Burak Taşci, Ayşegül Uçar)....Pages 237-256
Front Matter ....Pages 257-257
 Stock Market Forecasting by Using Support Vector Machines  (K. Liagkouras, K. Metaxiotis)....Pages 259-271
 An Experimental Exploration of Machine Deep Learning for Drone Conflict Prediction  (Brian Hilburn)....Pages 273-290
 Deep Dense Neural Network for Early Prediction of Failure-Prone Students  (Georgios Kostopoulos, Maria Tsiakmaki, Sotiris Kotsiantis, Omiros Ragos)....Pages 291-306
Front Matter ....Pages 307-307
 Non-parametric Performance Measurement with Artificial Neural Networks  (Gregory Koronakos, Dionisios N. Sotiropoulos)....Pages 309-335
 A Comprehensive Survey on the Applications of Swarm Intelligence and Bio-Inspired Evolutionary Strategies  (Alexandros Tzanetos, Georgios Dounias)....Pages 337-378
 Detecting Magnetic Field Levels Emitted by Tablet Computers via Clustering Algorithms  (Alessia Amelio, Ivo Rumenov Draganov)....Pages 379-430