Advanced Informatics Engineering Theories and Applications

Chapter 1 - Overview of Advanced Informatics Engineering - Theories and Applications, Chapter 2 - Advanced Univariate Data Preprocessing Rainfall Prediction Using Stacked Deep Learning Networks, Chapter 3 - A Hybrid Fuzzy Logic-Convolutional Neural Network for Enhanced Vehicle Detection, Chapter 4 - Learning Management System: a Review, Chapter 5 - Classification of Damaged Solar Cells Using ResNet50 Model Architecture, Chapter 6 - A High-Performance Deep Learning Pipeline for Mammogram Classification Using Pretrained EfficientNetV2-S, Chapter 7 - Comparative Analysis of Automated Hyperparameter Tuning Methods in Deep Learning Models: Evaluating Performance and Computational Efficiency, Chapter 8 - Deep Learning Techniques Evaluation for Improved Bladder Cancer Diagnostic Performance, Chapter 9 - Machine Learning Approaches for Malware Detection Assessment, Chapter 10 - Malware Detection in Medical Mechatronics Distribution System Using Support Vector Machine: Ensuring Data Access, Integrity and Privacy, Chapter 11 - Machine Learning Algorithm-Based Smart Shopping Recommendation System, Chapter 12 - Implementation of Real-Time Irrigation Monitoring System Using IoT Technology, Chapter 13 - UAV-Assisted Dynamic IoT Network Deployment in Disaster Zones, Chapter 14 - Predictive Modeling of Outdoor Wireless Propagation for Future 5G Networks in Cyprus, Chapter 15 - Assessment of Cybersecurity Readiness for Entrepreneurial Possibilities, Chapter 16 - Design and Development of a Digital Educational Game: Magical Questions with a Wheel of Fortune, Chapter 17 - The New Axis of Global Security and Competition: Artificial Intelligence Policies, Application Fields, and Geopolitical Implications, Chapter 18 - Intelligent Course Registration - Enhancing Schedule Optimization for University Students, Chapter 19 - A Smart Beehive with Integrated Advanced Technology: a Survey, Chapter 20 - Prof Dux: Optimizing AI Curriculum Delivery and Enhancing Class Management for Improved Learning Experiences, Chapter 21 - Harnessing Natural Language Processing for Multilingual Education in Nigeria: a Review, Chapter 22 - Investigation of Phubber Levels of Students in Terms of Various Variables, Chapter 23 - Machine Learning-Based Prediction of Student Performance in Flipped Physics Labs, Chapter 24 - Metaverse-Based Education: the Education Paradigm of the Future.