Data Management, Analytics and Innovation

Chapter 1 :"A Bipartite Graph Approach to Linking Selection Marks and Text".- Chapter 2 :"Enhancing Food Demand Forecasting to Minimize Food Waste in Supply Chains: A Hybrid ARIMA-DQN Framework".- Chapter 3 :"Global Conversations on Climate Change: Insights from Social Media Analysis of GHGs, Climate Action and Public Perception".- Chapter 4 :"An Inventive Feature Importance based Dementia PredictiveModel using SHAP Analysis".- Chapter 5 :"Quantum Convolutional Neural Networks for Enhanced Crop Disease Detection and Management: A Step Towards Intelligent Farming Systems".- Chapter 6 :"Towards Classifying Bird Sounds Using a Deep Transfer Learning Model".- Chapter 7 :"Multi-Objective Food Delivery Route Optimization using Hybrid Pareto based Differential Evolution Algorithm".- Chapter 8 :"Energy Efficient XceptionNet Accelerator with e-FPGAs for AI based Risk Prediction of Skin Abnormalities".- Chapter 9 :"A clustering based prediction approach for new cases of COVID-19 in India".- Chapter 10 :"Efficiency-Optimized Non-linear Transformers for Fake News Detection: A Case Study".- Chapter 11 :"Isolation Forest based Anomaly Detection of Vessels using AIS Data".- Chapter 12 :Detecting Bias in Social Media using SentiWordNet .- Chapter 13 :"A LLM and Explainable AI Assistive Model for Improvement ofUser’s Query in a Chatbot for Women Cancer Awareness for Indian Lay People".- Chapter 14 :"Amalgamated Business and Technology Operations Observability Framework".- Chapter 15 :"Enhanced Tabular Convolution (TAC) Method for RNA-Seq GeneExpression Classification".- Chapter 16 :"Solutions to Higher Order Differential Equations by usingIntegrating Factor techniques, Numerical Methods and Neural Networks".- Chapter 17 :"Explainable and Interpretable Isolation Forest for Bankingand Finance".- Chapter 18 :"Water Withdrawal Trends Across Multiple UN Member Nationsusing Time Series Forecasting".- Chapter 19 :"EGA: Explainable Deep Belief Network based Auto encoderusing novel Extended Garson Algorithm".- Chapter 20 :Classification of Geophysical Events in the Getchell Mine"Integrating Product Coefficients for Improved 3D LiDAR Data Classification".- Chapter 21 :"Deep learning model for optimizing time-delay and forecasting ""Discrimination of earthquakes and mining explosion seismicsignals using partitioned local depth".- Chapter 22 :"Crime Dataset Analysis to Optimize the Requirement of Copsusing Clustering Approaches".- Chapter 23 :"A Study of Genome Compression Algorithms for Industrial versus Scientific Applications Focusing Sequences in Raw and FASTA/Q Formats".

• Erscheinungsdatum: 22.11.2025
• Autor/Autorin: Saptarsi Goswami
• Reihe: Springer Nature Proceedings excluding Computer Science
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 29.6 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 500 Seiten
• ISBN: 9789819658602
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.