Katalog der Deutschen Nationalbibliothek

Neuigkeiten Servicezeiten in Frankfurt am Main ab 1. Dezember 2025: Montag bis Freitag 9–18 Uhr und Samstag 10–16 Uhr
Service hours in Frankfurt am Main from 1 December 2025: Monday to Friday 9:00-18:00 and Saturday 10:00-16:00
 
Neuigkeiten

Leichte Bedienung, intuitive Suche: Die Betaversion unseres neuen Katalogs ist online! → Zur Betaversion des neuen DNB-Katalogs

 
Neuigkeiten Die Lesesäle für Geisteswissenschaften, Naturwissenschaften, der Alte Lesesaal Technik und der Anne-Frank-Shoah-Lesesaal in Leipzig schließen am 04.02.2026 wegen einer Veranstaltung bereits um 15 Uhr. Die weiteren Lesesäle sowie die Servicetheke sind zu den regulären Zeiten geöffnet. //
The humanities reading room, the natural science reading room, the old technology reading room and the reading room of the Anne-Frank-Shoah-Library will close at 15:00 on 4 February 2026 due to an event. The other reading rooms and the service desk will be open during regular hours.
 
 

Ergebnis der Suche nach: "Machine Learning"



Treffer 45 von 42725 < < > <



Online Ressourcen
Link zu diesem Datensatz https://d-nb.info/1387829955
Titel Computational Intelligence and Network Security : Second International Conference, ICCINS 2025, Raipur, India, April 3–4, 2025, Proceedings / edited by Preeti Chandrakar, K. Jairam Naik, Zahid Akhtar, Chien Ming Chen, Karnati Mohan
Person(en) Chandrakar, Preeti (Herausgeber)
Naik, K. Jairam (Herausgeber)
Akhtar, Zahid (Herausgeber)
Ming Chen, Chien (Herausgeber)
Mohan, Karnati (Herausgeber)
Organisation(en) SpringerLink (Online service) (Sonstige)
Ausgabe 1st ed. 2026
Verlag Cham : Springer Nature Switzerland, Imprint: Springer
Zeitliche Einordnung Erscheinungsdatum: 2026
Umfang/Format Online-Ressource, XIII, 394 p. 160 illus., 144 illus. in color. : online resource.
Andere Ausgabe(n) Printed edition:: ISBN: 978-3-032-09571-8
Printed edition:: ISBN: 978-3-032-09573-2
Inhalt Machine Learning and Computational Intelligence -- Machine Learning-Driven Cardiovascular Disease Prediction: Balancing Performance and Transparency with Hybrid Models -- FractureNet: A Compact CNN Model for High-Accuracy Bone Fracture Detection and Classification -- CODLSTM: Predicting Time Series Glucose Levels Using One-Dimensional Convolutions and Memory-Augmented Recurrent Networks -- EEG-Based Schizophrenia Classification with Residual Dilated Multi-Scale Network -- Quantum Recurrent Neural Network-Based Classification of Ammonia Contamination in Aquatic Environments -- Predictive Analytics in Agriculture: Leveraging ANN for Crop Yield Forecasting -- TabNet-Based Crop Yield Prediction for SmartAgriculture -- Enhancing Speech Emotion Recognition with Hybrid Deep Learning Models and Multi-Feature Fusion -- Brain Tumor Detection and Classification on MRI Images using YOLO based Deep Learning Model -- Deep Multi-Label Classification for Automated Ocular Disease Detection Using Enhanced CNN Architectures -- From Data to Diagnosis: Machine Learning Solutions for Hepatitis C Virus Classification -- PatchSimNet: Patch-Based Siamese Model for Text Independent Handwriting Similarity Detection -- Bitcoin Financial Forecasting: Analyzing the Impact of Moving Average Strategies on Trading Performance -- Explainable Sentiment Analysis on Social Media: A Unified Approach with BERT and Token-Level Insights -- A Convolutional Neural Network- Based Approach for Detection and classification of weed in Agriculture -- Quantum- Enhanced Algorithmic Advancements for Solving Curse of Dimensionality Problem -- Intelligent Networking and Communication Systems -- Optimizing Energy Efficiency through Power Factor Monitoring: A Smart Approach with IoT Sensors -- Describing the properties of privacy tools to non-expert users -- A Method to Optimally Discover the Controller Locations in Software-Defined Networks -- Graeco-Latin Square-Based Modified Moss Growth Optimization (GLS-mMGO): A Triumvirate of Optimization Paradigms for Resource Allocation in 6G Network -- Optimizing Charger Placement for Q-Coverage Using Blackhole Algorithm -- Reducing the Carbon Footprint of Data Centers: CNN-Transformer-Based Workload Prediction for Green Cloud Computing -- Convolutional Neural Networks Based Decision Making for Adaptive Modulation and Coding in 5G Networks -- Blockchain-based authentication protocol integrated with PUFs for secure vehicular communication -- Cybersecurity, Privacy, and System Design -- Zero Trust Framework for Enhancing Security in Container Ecosystems -- Securing Online Transactions for Robust Payment Processing Mechanisms in AI Driven World -- An Improved AI Based System for Criminal Identification and Public Safety -- Assessing Hybrid Consensus Mechanisms: A Detailed Evaluation of PoS and PoET with Regard to Blockchain Efficiency -- Enhancing Linux Security: A Framework for Automated Misconfiguration Analysis and Remediation -- A New Idea of the Clipping limit to Control the Enhancement Level Based on the Quantile Value of the Entropy Curve
Persistent Identifier URN: urn:nbn:de:101:1-2601240305587.292712180897
DOI: 10.1007/978-3-032-09572-5
URL https://doi.org/10.1007/978-3-032-09572-5
ISBN/Einband/Preis 978-3-032-09572-5
Sprache(n) Englisch (eng)
Beziehungen Communications in Computer and Information Science ; 2738
DDC-Notation 006.3 (maschinell ermittelte DDC-Kurznotation)
Sachgruppe(n) 004 Informatik

Online-Zugriff Archivobjekt öffnen




Treffer 45 von 42725
< < > <


E-Mail-IconAdministration