Proceedings of International Conference on Computational Intelligence

An Ensemble-Based Multilabel Classification of Road Anomalies Using Handcrafted, Deep, and Hybrid Features.- A Hybrid Deep Learning and Machine Learning Approach for Keratoconus Detection Using Fused VGG16 and ConvNeXt Features.- A Hybrid CNN–LSTM Deep Learning Framework for Multi-Class Cyberbullying Detection on Social Media with GUI-Based Real-Time Prediction.- Deep Learning-Based Automated Detection and Multiclass Classification of Brain Tumors in MRI Using YOLOv8 and VGG.- Automation of PVC Pipe Socketing By Using PLC.- A Hybrid Linguistic and TF-IDF Feature-Based Model for Distinguishing AI-Generated and Human-Written Text Using XGBoost with Gauss-Legendre Custom Loss Function.- A Fuzzy Function Point method for Software Cost Estimation by Intertwining Functional Requirements with Cybersecurity and Privacy.- Integrating Variational Quantum Circuits with Advanced Machine Learning Models using Quantum-Classical Hybrid Architectures for Enhanced Breast Cancer Prediction.- AcdaLink: Enhanced Android Project Repository with AI Detection Similarity Matching, and Assistant Support.- Using AI-Enabled HR Practices to Promote Neurodiverse Leadership in India's Technology Industry.- A Hybrid Conversational Framework for Interactive Data Analysis and Time Series Forecasting Using Large Language Models.- A Hybrid EfficientNet–Transformer Framework for Robust Video Forgery Detection.- Enhancing Speech Recognition: A Fusion of Transformers with Convolutional Context.- Microstrip Patch Antenna with Frequency Selective Surface for Wearable Applications.- A Hybrid Graph Attention - LSTM Framework for Intelligent Traffic Signal Optimization.- etc.

• Erscheinungsdatum: 07.08.2026
• Autor/Autorin: Mukesh Saraswat
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 54.3 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 549 Seiten
• ISBN: 9783032315267
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.