Recent Advances in Deep Learning Applications

Preface

Editor Bios

List of Contributors

Part I Deep Learning for Computer Vision

Chapter 01 Automated Image Segmentation Using Self-Iterative Training and Self-Supervised Learning with Uncertainty Scores

Jinyoon Kim, Tianjie Chen, and Md Faisal Kabir

Chapter 02 Energy Efficient Glaucoma Detection: Leveraging GAN-based Data Augmentation for Advanced Diagnostics

Krish Nachnani

Chapter 03 Deep JPEG Compression Artifact Removal with Harmonic Networks

Hasan H. Karaoglu, Ender M. Eksioglu

Chapter 04 Modeling Face Emotion Perception from Naturalistic Face Viewing: Insights from Fixational Events and Gaze Strategies "Meisam J. Seikavanidi

Maria J. Barrett, Paolo Burelli

Part II Deep Learning for Natural language Processing

Chapter 05 Large Language Models for Automated Short-Answer Grading and Student Misconception Detection in STEM

Indika Kahanda, Nazmul Kazi, and James Becker

Chapter 06 Word class and syntax rule representations spontaneously emerge in recurrent language models

Patrick Krauss, Kishore Surendra, Paul Stoewer, Andreas Maier, Claus Metzner, and Achim Schilling

Chapter 07 Detection of Emerging Cyberthreats through Active Learning

Joel Brynielsson, Amanda Carp, and Agnes Tegen

Chapter 08 Enhanced Health Information Retrieval with Explainable Biomedical Inconsistency Detection using Large Language Models

Prajwol Lamichhane, Indika Kahanda, Xudong Liu, Karthikeyan Umapathy, Sandeep Reddivari, and Andrea Arikawa

Chapter 09 Human-like e-Learning Mediation Agents

Chukwuka Victor Obionwu, Diptesh Mukherjee, Andreas Nurnberger, Aarathi Vijayachandran Bhagavathi, Aishwarya Suresh, Eathorne Choongo, Bhavya Baburaj Chovatta Valappil, Amit Kumar, and Gunter Saake

Part III Deep Learning for Real World Predictive Modelling

Chapter 10 Transformer Graph Neural Networks (T-GNN) for Home Valuation

Faraz Moghimi, Reid Johnson, and Andy Krause

Chapter 11 Model Error Clustering Approach for HVAC and Water Heater in Residential Subpopulations

Viswadeep Lebakula, Eve Tsybina, Jeff Munk, and Justin Hill

Chapter 12 A Hybrid Physics-Informed Neural Network - SEIRD Model for Forecasting COVID-19 Intensive Care Unit Demand in England "Michael Ajao-Olarinoye

Vasile Palade, Fei He, Petra A Wark, Zindoga Mukandavire, and Seyed Mousavi

Part IV Deep Learning Methodological Approaches in Other Applications

Chapter 13 A Novel Data Reduction Technique for Medicare Fraud Detection with Gaussian Mixture Models

John T. Hancock III, Taghi M. Khoshgoftaar

Chapter 14 Convolutional Recurrent Deep Q-Learning for Gas Source Localization with a Mobile Robot

Iliya Kulbaka, Ayan Dutta, Ladislau B¶l¶ni, O. Patrick Kreidl, and Swapnoneel Roy

Chapter 15 Conditioned Cycles in Sparse Data Domains: Applications to the Physical Sciences Maria Barger, Randy Paffenroth, and Harsh Pathak

Chapter 16 Enhancing Aerial Combat Tactics through Hierarchical Multi-Agent Reinforcement Learning

Ardian Selmonaj, Oleg Szehr, Giacomo Del Rio, Alessandro Antonucci, Adrian Schneider, and Michael R¼egsegger