| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Futuristic computational systems and advanced engineering for the society/ edited by D. Jude Hemanth ... [et al.]. |
| Reminder of title: |
proceedings of the 6th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2024. |
| remainder title: |
ICAIAME 2024 |
| other author: |
Hemanth, D. Jude. |
| corporate name: |
International Conference on Artificial Intelligence and Applied Mathematics in Engineering |
| Published: |
Cham :Springer Nature Switzerland : : 2025., |
| Description: |
xxii, 209 p. :ill. (chiefly color), digital ;24 cm. |
| [NT 15003449]: |
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. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Artificial intelligence - Engineering applications - |
| Online resource: |
https://doi.org/10.1007/978-3-031-92552-8 |
| ISBN: |
9783031925528 |