
Teil der Reihe: Springer Nature Proceedings excluding Computer Science
Soft Computing: Theories and Applications
Inhaltsangabe
Chapter 1 :A Comprehensive Study Exploring Probabilistic Fully Degenerate Bell Polynomials Linked to Random Variables.-Chapter 2 :Artificial Neural Network based Prediction of the Atmospheric attenuation and Scattering Coefficient at 1550 nm for Optical Wireless System in Foggy Atmosphere.-Chapter 3 :Early Detection of Alzheimer’s Using Customised Lightweight 3D CNN Architecture.-Chapter 4 :Optimizing Fraud Detection by Integrating Ensemble Methods and Neural Networks.-Chapter 5 :Bus Arrival Time Prediction with LSTM Networks and CTGAN-Augmented Data.-Chapter 6 :A Hybrid Improved Particle swarm optimization and Genetic algorithm for energy efficient task offloading in Industrial IoT.-Chapter 7 :Sign Spotting for Indian Sign Language.-Chapter 8 :A Crowdsourced Localization and Deep Learning-based Visual Fingerprint Update Algorithm of Smart Internet of Vehicles (IoV).-Chapter 9 :Dropout and its role in Neural Networking.-Chapter 10 :An adaptive Statistical Sugeno-Takagi Fuzzy Logic System For Damage.-Chapter 11 :Identification In Structural Elements.-Chapter 12 :E-Commerce Fake Review Detection using Natural Language Processing.-Chapter 13 :A Novel Deep Learning Framework with Global Attention Mechanism for Enhanced Heart Disease Detection and Prediction.-Chapter 14 :Multivariate Data Analysis to Classify Blood Donors Utilizing Supervised Learning Models.-Chapter 15 :Type 2 Diabetes Detection Using a Bio-Inspired Machine Learning Approach.-Chapter 16:Deep Learning Neural Network-Based Evaluation of Neuroimages for Alzheimer's Disease Diagnosis
.-Chapter 17 :Machine Learning-Based Analysis and Detection of Autism Spectrum Disorder.-Chapter 18 :Smart Traffic Control System Leveraging YOLOv8 and OCR for Improved Urban Mobility
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Produktdetails
- Erscheinungsdatum: 31.08.2025
- Autor/Autorin: Rajesh Kumar
- Reihe: Intelligent Technologies and Robotics
- Format: E-Book
- Dateiformat: PDF
- Kopierschutz: Wasserzeichen
- Dateigröße: 30.6 MB
- Verlag: SPRINGER
- Sprache: Englisch
- Umfang: 500 Seiten
- ISBN: 9789819659555
- Lieferung: Sofort per Download
- Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
- Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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