Futuristic Computational Systems and Advanced Engineering for the Society

This book provides the most recent, quality research papers accepted and presented in the 6th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2024), held in 26-27-28 September 2024 at Warsaw, Poland. Objective of the book is to provide important and innovative research for developments improvements within different engineering fields, which are highly interested in using artificial intelligence and applied mathematics. As a collection of the outputs from ICAIAME 2024, the book ensures a perspective in terms of especially futuristic solution approaches to advance the society through innovative engineering efforts. The book allows researchers and practitioners from both academia as well as industry to exchange, share their ideas and keep themselves up to date (in terms of knowledge) in the context of the latest research efforts and further opportunities arising. As the proceedings of the ICAIAME 2024, the book eventually plays a remarkable, active role in accumulating the most recent, significant works of artificial intelligence and applied mathematics to shape both the present and future of engineering disciplines.

The Effect of Feature Selection on Stock Market Index Prediction. - Controversy Detection on Twitter with Dynamics and Content-Based Features. - Detection of Alzheimer' s Disease with an Ensemble Deep Learning Model Using Diffusion Tensor Imaging. - Reliability Challenges in Crowdsourced Bounding-Box Data for Computer Vision. - Glaucoma Classification Using Transfer Learning Based Convolutional Neural Networks. - A study on enhancing low-resource Turkish-English neural machine translation using part of speech tags. - Detection of Malware and Benign Samples in AWSCTD Dataset with Kolmogorov-Arnold Networks. - Stance Intensity Detection on Social Media. - Stance in Translation: English-to-Turkish Cross-Lingual Stance Detection. - Evaluation of Distance Metrics for the Success of Machine Learning-Based Authentication Systems Using Photoplethysmography (PPG)Signals. - Optimization of Agent-based Queuing System Model: A Case Study through Inventory Systems. - Support Vector Machine and Neural Network Approaches for Stiffness Modulus Prediction of Bituminous Mixtures Under Four-Point Bending Tests. - Application of Machine Learning Method in Predicting the Swelling Pressure of Clayey Soils. - Virtual Consultant: An Automated SAP Advisor. - Comparative Study of Machine Learning Techniques for Remaining Useful Life Estimation in Simulated Mini Factory Environment.