Produktbild: Business Intelligence, Computational Mathematics, and Data Analytics
Band 2845

Business Intelligence, Computational Mathematics, and Data Analytics Second International Conference, IBCD 2025, Pune, India, September 26–27, 2025, Proceedings

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

24.03.2026

Abbildungen

XVI, 266 illus., 193 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Fernando Ortiz-Rodríguez + weitere

Verlag

Springer

Seitenzahl

473

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

739 g

Sprache

Englisch

ISBN

978-3-032-20906-1

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

24.03.2026

Abbildungen

XVI, 266 illus., 193 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

473

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

739 g

Sprache

Englisch

ISBN

978-3-032-20906-1

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Business Intelligence, Computational Mathematics, and Data Analytics
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    .- Deep Reinforcement Learning for Dynamic Energy Optimization in Data Centers.

    .- Grammatical Error Correction for Marathi Using Fine-Tuned Transformer Models.

    .- Cybersecurity Challenges and Solutions in Industry 4.0: Securing Critical Infrastructure in the Age of IoT and Automation.

    .- RetailNet: AI-Driven Sales Optimization and Marketing Strategies for Perishable Products in Retail.

    .- ConvEmoSentNet: A Parameter-Efficient Framework for Multimodal Emotion and Sentiment Analysis in Social Media Conversations.

    .- Detecting Deepfakes Across Modalities Using Image and Audio Cues.

    .- Socio-Technical Perspectives on Ai Governance Addressing Ethics Fairness and Sustainable Machine Learning Practices.

    .- AI-Driven Voice and Gesture-Controlled System for Dental Healthcare.

    .- Sensors Based Crop Recommendation System Using Ensemble Modelling.

    .- Data analysis to measure the effect of interventions Bundle to prevent complications of arterial cannulation among patients admitted in selected hospitals..

    .- Aqua Detection and Prediction using IoT and Machine Learning.

    .- An IoT-Based Fleet Management and Vehicle Tracking System with SVM-Based Risk Prediction.

    .- Detecting Mental Illness using Face Recognition Techniques.

    .- Fertilizer Recommendation Using Deep Soil Inspection.

    .- Deep Learning Optimized Models: Early Detection of Tomato Leaf Disease.

    .- Data-Driven Detection and Prediction of Crop Diseases and Pests Using Machine Learning Techniques.

    .- AI Based Detection of Synthetic Media: A Deep Fake Analysis Using Deep Learning.

    .- Advancements in Synthetic Speech Detection and Anti- Spoofing Techniques in Speaker Verification using Deep Learning.

    .- Smart Retention Using Generative AI.

    .- Economic Stability in SAARC: An ML & NLP Approach to Forecasting and Crisis Prediction.

    .- Impact of Climate Change on Agriculture: A Machine Learning Analysis to Predict Crop Production in Maharashtra.

    .- Decoding Retail Market Dynamics: A Data-Driven Approach to Consumer Behavior Modeling.

    .- Leveraging Machine Learning to Predict Steroid-Induced Organ Damage: Study on Heart, Kidney and Lungs.

    .- Development of an Intelligent System for Sickle Cell Disease Detection Using Deep Learning Techniques.

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    .- Static Analysis and Machine Learning for Runtime Library Detection in Linux Binaries.

    .- Enhanced Detection of Malicious URLs Using Supervised Machine Learning Models.

    .- Real-Time Attack Detection Model and Platform Using Machine Learning.

    .- A Systematic Review on Grape Leaf Disease Detection and Identification.

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    .- AI-Augmented Metadata Enrichment in Enterprise Data Lakes using Transformer-based NLP.