| 紀錄類型: |
書目-電子資源
: Monograph/item
|
| 正題名/作者: |
Futuristic computational systems and advanced engineering for the society/ edited by Jude Hemanth ... [et al.]. |
| 其他題名: |
proceedings of the 6th International Conference on Artificial Intelligence and Applied Mathematics in Engineering, ICAIAME 2024. |
| 其他題名: |
ICAIAME 2024 |
| 其他作者: |
Hemanth, Jude. |
| 團體作者: |
International Conference on Artificial Intelligence and Applied Mathematics in Engineering |
| 出版者: |
Cham :Springer Nature Switzerland : : 2025., |
| 面頁冊數: |
xxii, 207 p. :ill., digital ;24 cm. |
| 內容註: |
Optimization of Language Models for Product Feed Enrichment: LM-PFE -- Deep Learning Algorithms for Automatic Text Summarization in Academic Studies -- Multichannel Convolutional Networks for Classification and Localization of Construction and Demolition Waste -- Optimizing Hybrid CNN-RNN-Transformer Models for Multiclass Classification Tasks -- Artificial Neural Networks for Predicting Asphalt Fatigue Life: Investigating Material and Loading Parameters with a Comprehensive Dataset and Addressing Model Intricacies -- Cyber Security and Artificial Intelligence in Military Aviation: Threats and Advancements -- Keyword Extractıon from Turkish Text Using Natural Language Processing Techniques -- Semi-Structured Data Streaming and Anomaly Detection in a Big Data Environment with Spark -- Integration Deep Learning Models into Personalized Search -- Examining the audience comments of the BBC Learning English channel videos with LDA Topic Analysis -- Albanian Crossword Generation with Artificial Intelligence -- A Deep Learning-Based Reinforcement Algorithm for the Diagnosis of Glioma -- Cryptography with Artificial Intelligence: An Overview -- IoT Sensors Based Association Analysis Between the Number of Detections and the Progress of Construction Works -- A Question Answering System Using Deep Learning Techniques in The Education Domain. |
| Contained By: |
Springer Nature eBook |
| 標題: |
Artificial intelligence - Engineering applications - |
| 電子資源: |
https://doi.org/10.1007/978-3-031-94600-4 |
| ISBN: |
9783031946004 |