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Intelligent Systems and Pattern Recognition - 4th International Conference, ISPR 2024, Istanbul, Turkey, June 26-28, 2024, Revised Selected Papers, Part III

Englisch · Taschenbuch

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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.

Inhaltsverzeichnis

.- A Bone Fracture Detection Using CNN Model.
.- Balancing Class Distribution in Microarray Analysis Using GenAI.
.- Tunisian Sign Language Recognition and Translation Using Deep Learning.
.- Beyond Spatial: A Wavelet Fusion-based Deep Learning CAD for Skin Cancer Diagnosis.
.- Integrating Machine Learning and Deep Learning Techniques for Enhanced Historical Script Classification.
.- Efficiency Meets Resilience: Accelerating Object Detection in Embedded Environments through Compressive Sensing.
.- PMoET: Going Wider than Deeper using the Parallel Mixture-of-Experts Transformer for 3D Hand Gesture Recognition.
.- Enhancing Forest Fire Classification with Feature Selection and Machine Learning based on PRISMA Hyperspectral Data.
.- Semantic Segmentation of UAV Images using SegFormer.
.- Handcrafted and Deep features for Synthetic data generation in Offline Handwritten Signature Verification.
.- Refining U-Net Architecture through Genetic Algorithms for Improved Skin Lesion Image Segmentation.
.- An RNN-LSTM Approach for Algerian Accent Identification.
.- Boosting Methods for Predicting Cyanobacteria's Potential Toxicity in Water Dams.
.- Cross-Organ Investigation of Tumor Histological Features Similarities Using Transfer Learning: A Case Study on Breast and Colorectal Tumors.
.- Behavior-Based Insider Threat Detection Using a Deep Neural Network.
.- Holistic Ontology Alignment using ontologies Embeddings.
.- Learning Different Separations in Branch and Cut:A Survey.
.- Cancer Classification in Breast Imaging via Enhanced CNN Deep Learning Architecture.
.- X-Ray Insights: A Siamese with CNN and Spatial Attention Network For Innovative Person Identification.
.- Hybrid Wiener Filter and Sharpening Filter for Image De-Blurring.
.- Feature Extraction and Dimensionality Reduction to Evaluate Decision Tree Ensembles for Diabetic Retinopathy Detection.
.- Artificial Intelligence-based on Automatic Detection of Diabetic Eye Diseases : A Systematic Review.
.- Automated Breast Cancer Detection: A Review.
.- One-Class Convolutional Neural Network for Arabic Mispronunciation Detection.
.- Enhancing Writer Retrieval in Handwritten Documents through Fusion of Deep Features and Multi-Oriented Histograms.
.- MCDPS: Enhancing Clinical Decision Support for Multiple Chronic Disease Prediction Systems Using Ensemble Machine Learning Approaches.

Zusammenfassung

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.

Produktdetails

Mitarbeit Somaya Almaadeed (Herausgeber), Somaya Almaadeed et al (Herausgeber), Akram Bennour (Herausgeber), Bassem Bouaziz (Herausgeber), Ahmed Bouridane (Herausgeber), Eran Edirisinghe (Herausgeber)
Verlag Springer, Berlin
 
Sprache Englisch
Produktform Taschenbuch
Erschienen 07.02.2025
 
EAN 9783031821554
ISBN 978-3-0-3182155-4
Seiten 350
Abmessung 155 mm x 20 mm x 235 mm
Gewicht 558 g
Illustration XV, 350 p. 162 illus., 109 illus. in color.
Serie Communications in Computer and Information Science
Themen Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik

E-Learning, machine learning, Data Mining, Maschinelles Lernen, Artificial Intelligence, Deep Learning, angewandte informatik, Bildverarbeitung, Information Retrieval, Neural Networks, Computer Vision, Image Analysis, Computer Imaging, Vision, Pattern Recognition and Graphics, Computer and Information Systems Applications, Computer security, Databases, computer networks, image reconstruction, image enhancement

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