Advances in Data Science and Management – ICDSM 2025, Volume 1

Proceedings of ICDSM 2025, Volume 1
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Inhaltsangabe

Data-Driven Revenue Forecasting in Ecommerce: Ensemble and Tree Based Regression Approach.- XAI-Driven Retail Recommendation System: Enhancing Transparency and Trust in Customer-Centric Decision-Making.- Earthquake Magnitude Prediction with Feature Optimi-zation: Integrating Genetic Algorithms with Ensemble and Deep Learning Models.- Deep Learning-Based Detection of Suicidal Tendencies  from Social Media Content.- Multi-Modal Adversarial Deepfake Detection Using Face-Voice Discrepancy and Lip-Sync Verification.- AI Powered Object and Color Detection with Sound Assistance for Visually Impaired People.- Tabular Data Augmentation with Deep Learning for Multi-Chronic Disease Prediction: A Review.- Advanced Statistical Analysis for Canine Dermatological Disease Classification Using MobileNetV2: A Novel Deep Learning Approach with Comprehensive Model Validation.- Enhancing Human Emotion Prediction using Random Forest Algorithm.- Explainable and Fair Machine Learning for Plant Disease Diagnosis: A Path Towards Responsible Agricultural AI.- AI-Driven Fusion CNN with PCA for Clinical Brain Tumor Diagnosis.- Adversarial Robust Deep Models for Detecting Sophisticated Image Forgeries in Multimedia Forensics.- An Empirical Benchmark of Deep Learning for High-Dimensional Crypto Forecasting.- Comparative Analysis of Various Machine Learning Tools in the Prediction of Cardiac Arrest.- An Ant Colony Optimization Approach for Online Sequential Extreme Learning Machine in Stock Market Prediction.- etc.

Produktdetails
  • Erscheinungsdatum: 10.09.2026
  • Autor/Autorin: Samarjeet Borah
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 48.9 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 396 Seiten
  • ISBN: 9783032335845
  • 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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