Vor Ort
Merkzettel Warenkorb
Produktbild: New Technologies, Artificial Intelligence and Smart Data
Band 2645

New Technologies, Artificial Intelligence and Smart Data 12th International Conference, INTIS 2024, Tangier, Morocco, May 30 – June 1, 2024, Revised Selected Papers

Aus der Reihe Communications in Computer and Information Science

68,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.02.2026

Abbildungen

XII, 410 p. 146 illus., 135 illus. in color.

Herausgeber

Hassan Badir + weitere

Verlag

Springer

Seitenzahl

410

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

639 g

Sprache

Englisch

ISBN

978-3-032-14963-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.02.2026

Abbildungen

XII, 410 p. 146 illus., 135 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

410

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

639 g

Sprache

Englisch

ISBN

978-3-032-14963-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: New Technologies, Artificial Intelligence and Smart Data

  • .-
    Artificial Intelligence.
    .- Artificial intelligence Toward Streamlining Lean Manufacturing Approaches.
    .- Road Roughness and ranking using Deep learning.
    .- Unveiling the Future of Drug Discovery: Revolutionizing Log S Prediction with Deep Learning FNNs.
    .- Segment anything model for breast imaging segmentation: a state-of-the-art.
    .- Profitability Prediction of Stock exchange Symbols: An Integrated Data Mining Approach.
    .- Comparative Analysis of Cutaneous Leishmaniasis Future Forecasting Using Supervised Machine Learning Models.
    .- Deep learning time series forecasting using LST MODIS data: hyperparameter optimization.
    .- SentinelBERT: A Deep Learning Approach for Adverse Event Forecasting.
    .- Enhancing Outlier Detection: A Hybrid Architecture with Autoencoder Clustering and Isolation Forest.
    .- Efficient face recognition model based ViT transformers architecture.
    .- Dynamic region proposal model for road anomalies detection and classification.
    .-
    Smart Data & IoT.
    .- Adaptive Transfer Learning for Mineral Grade Prediction in Mining Industry 4.0.
    .- A capacity constrained ant colony optimization approach for Electric Vehicle Routing Problem with a partial charging strategy.
    .- Industrial Modbus-LoRa data logger for digital twin’s applications.
    .- BMA-Measure: A Novel Metric for Assessing the Quality of the Training Set.
    .- Dynamic Model Integration in the Articulated Manipulator Trajectory Planning.
    .- Improving Machine Learning Accuracy in Detection SQL Injection Attack using NLP and Feature Engineering.
    .- AI-Based Anomaly Detection for IoT Cybersecurity events.
    .- A concatenation Deep Learning Model for Photovoltaic inspection based on Aerial Infrared images.
    .- Where We Are in Handling IoT and Robotics’ Data for Agro-ecology Applications?: An Architectural View.
    .- Synergizing Blockchain and Cloud: Elevating Decentralization and Scalability in Blockchain-Cloud Deployment Modes.
    .- Blockchain and Agile Methodology to Enhance Digital Transformation: The Case of SAFe Framework.
    .- Leader- Similarity for Community Detection in complex networks.
    .-
    Short Papers.
    .- Enhancing Academic Success: Performance Early Prediction Using Machine Learning Algorithms.
    .- Advancements in Arabic Handwritten Text Recognition: A Comprehensive Study of End-to-End Deep Learning Architecture with a Focus on Advanced Decoding Techniques.
    .- A Prediction Model Based On Recurrent Neural Network To Predict Freezing Of Gait Related To Parkinson's Disease.
    .- Protein-Protein Interaction Prediction using Graph Neural Networks.
    .- Enhancing Human-Robot Collaboration in Disassembly Processes Through Vision-Based Hardware Detection.
    .- Empowering Earthquake Management Through Advanced Machine Learning in Social Media Analytics and Facebook Data For Good Utilization: A 2023 Case Study.
    .- Machine Learning to identify the success patterns in Developing World Crowdfunding.
    .- Towards advanced modeling of road user behaviors for urban congestion management: a neural network-based framework.
    .- Development of a vulnerabilities online monitoring solution using machine learning.
    .- Enhanced Road Object Detection for ADAS Using YOLOv8 and Hyperparameter Evolution.
    .- Automation Synergy: Intrusion Detection through Deep Learning via a DevOps Pipeline in a Cloud Environment.
    .- Explainable AI for Energy prediction in Smart Building.
    .- Exploration of Semantic Segmentation Algorithms through Deep Learning for Extracting Water Bodies from Wetland Areas.
    .- A Comparative Study Between Solutions Proposed to Secure IoT Networks.
    .- Weathering the Storm: Evaluating the Generalization of recent Object Detection Models for UAV Power Line Inspection of Insulators in Challenging Meteorological Conditions.