Intelligent Systems and Pattern Recognition 4th International Conference, ISPR 2024, Istanbul, Turkey, June 26-28, 2024, Revised Selected Papers, Part II /
This Three-volume set CCIS 2303-2305 constitutes the proceedings of the 4th International Conference on Intelligent Systems and Pattern Recognition, ISPR 2024, held in Istanbul, Turkey, in June 26–28, 2024. The 77 full papers presented were thoroughly reviewed and selected from the 210 submissions....
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| Eará dahkkit: | , , , , |
| Materiálatiipa: | Elektrovnnalaš E-girji |
| Giella: | eaŋgalasgiella |
| Almmustuhtton: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Preanttus: | 1st ed. 2025. |
| Ráidu: | Communications in Computer and Information Science,
2304 |
| Fáttát: | |
| Liŋkkat: | https://doi.org/10.1007/978-3-031-82153-0 |
| Fáddágilkorat: |
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| 245 | 1 | 0 | |a Intelligent Systems and Pattern Recognition |h [electronic resource] : |b 4th International Conference, ISPR 2024, Istanbul, Turkey, June 26-28, 2024, Revised Selected Papers, Part II / |c edited by Akram Bennour, Ahmed Bouridane, Somaya Almaadeed, Bassem Bouaziz, Eran Edirisinghe. |
| 250 | |a 1st ed. 2025. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2025. | |
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| 490 | 1 | |a Communications in Computer and Information Science, |x 1865-0937 ; |v 2304 | |
| 505 | 0 | |a -- Deep Learning Approach for Tunisian Postal Address Segmentation. -- Leveraging DQN-Based Recommender Systems for E-Commerce in Smart Cities. -- Empowering Healthcare with Deep Learning: An Application for Early Detection of Skin Cancer. -- GAN-Enhanced Deep Learning Approach for Forecasting the Potentially Toxic Cyanobacteria in Dams. -- Adaboost optimized by sinh cosh algorithm for prediction of software defects. -- Prediction of Chronic Diseases using Parallel 1D-CNN Feature Extraction and SVM Classification based on SMOTE. -- Interpretable Ensemble Learning Model For Enabling An IDS To Detect DNS Attacks. -- An Improved Static Analysis Approach for Malware Detection by Optimizing Feature Extraction Combining Different ML Algorithms. -- Deep learning algorithms for colon cancer detection: A comparative study with traditional machine learning methods. -- Diabetic Retinopathy Grade Assessment using ResNetRS. -- Novel hybrid feature selection method and globalization technique for text classification. -- Applying Machine Learning Approaches with Integrated Internet of Things for Water Management System. -- Implementation of a comparative study of convolutional neural network architectures for image blind noise elimination. -- Structuring and Text Summarization of Indian Legal Documents. -- Photovoltaic Cell Defect Classification Using Attention U-Net Image Segmentation. -- Ulcerative Colitis Image Classification using Federated Deep Learning. -- Accelerating Traditional Object Detection Methods on Sophisticated Embedded Systems. -- Detecting Raspberry Ripeness Across Different Growth Stages Using YOLOv8. -- Air Quality Forecasting in Presence Missing Data. -- Image Encryption in Frequency Domain using Hybrid Chaotic Maps, Hashing, and Lifting Wavelet Transform. -- Detection and parameter estimation of an inflatable boat. -- Self-Attention Siamese Network for Unsupervised Few-Shot Learning Tasks. -- Comparative study using ensemble methods and sampling techniques for imbalanced diabetes data. -- Advanced Deep Learning Techniques for Accurate Detection of Wheat Leaf Diseases. -- Enhancing Tomato Crop Health: Leveraging Modified InceptionResNetV2 for Disease Detection. -- BA-GAN: A Boundary-Aware Generative Adversarial Network for Document Restoration. | |
| 520 | |a This Three-volume set CCIS 2303-2305 constitutes the proceedings of the 4th International Conference on Intelligent Systems and Pattern Recognition, ISPR 2024, held in Istanbul, Turkey, in June 26–28, 2024. The 77 full papers presented were thoroughly reviewed and selected from the 210 submissions. The conference provided an interdisciplinary forum for the exchange of innovative advancements in the fields of artificial intelligence and pattern recognition. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Application software. | |
| 650 | 0 | |a Image processing |x Digital techniques. | |
| 650 | 0 | |a Computer vision. | |
| 650 | 1 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Machine Learning. |
| 650 | 2 | 4 | |a Computer and Information Systems Applications. |
| 650 | 2 | 4 | |a Computer Imaging, Vision, Pattern Recognition and Graphics. |
| 700 | 1 | |a Bennour, Akram. |e editor. |0 (orcid)0000-0002-3185-8806 |1 https://orcid.org/0000-0002-3185-8806 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Bouridane, Ahmed. |e editor. |0 (orcid)0000-0002-1474-2772 |1 https://orcid.org/0000-0002-1474-2772 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Almaadeed, Somaya. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Bouaziz, Bassem. |e editor. |0 (orcid)0000-0002-3692-9482 |1 https://orcid.org/0000-0002-3692-9482 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Edirisinghe, Eran. |e editor. |0 (orcid)0000-0002-7570-3670 |1 https://orcid.org/0000-0002-7570-3670 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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