Machine Intelligence and Data Science

First International Conference, MIDAS 2025, Paralakhemundi, India, March 21-22, 2025, Proceedings
Erscheinungsjahr 2026
ISBN: 978-3-032-35515-7
Verlag: Springer

Buch, Englisch, Band 3055, 508 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 791 g

Reihe: Communications in Computer and Information Science

This book constitutes the refereed proceedings of the First International Conference on Machine Intelligence and Data Science, MIDAS 2025 held in Paralakhemundi, India, during March 21–22, 2025.

The 34 full papers and 6 short papers included in this book were carefully reviewed and selected from 136 submissions. They are organized into the following topical sections: Intelligent Computational Models for Multimedia Understanding and Trusted Digital Systems; Learning-Driven Paradigms for Healthcare Analytics and Biomedical Intelligence; Data-Centric Intelligence for Enterprise Analytics, Financial Systems, and Sustainable Innovation; and Emerging Intelligent Systems for Secure Computing, Autonomous Technologies, and Smart Environments.

Zielgruppe

Research

Autoren/Hrsg.

Das, Abhishek

Panda, Prafulla Kumar

Misra, Ashok

Mohanty, Mihir Narayan

Das, Swagatam

Mohammadian, Masoud

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken

Inhaltsverzeichnis

.- Intelligent Computational Models for Multimedia Understanding and Trusted Digital Systems.

.- Sentiment Analysis of Text Data for Hate Speech Detection.

.- Enhanced Face Emotion Detection Using Confidence-Based Sample Filtering.

.- Lung Infection Detection using VGG19 Model for Smart Healthcare.

.- Unmasking Synthetic Speech: A PCA-Based Approach to Differentiating Human and AI-Generated Voices.

.- Performance Comparison of Pneumonia Disease Detection and Prediction using Deep Learning Models.

.- Enhanced Document Clustering Using Residue Modulo Partitioner in Map-Reduce Framework.

.- Robust Security for IoT-based Wireless Sensor Networks Using Weighted CNN based AZOA.

.- A Detailed Study: Application of Big Data Analytics in Health Care Sector and Treatment of Cancer Disease.

.- A Novel 3D Image Rendering Technique to Improve Accuracy of Depth Recovery, Visualization and Image Compression of Random Images Dataset.

.- A Secure Protocol for Cloud Data Deletion and Evidence Verification Leveraging Invertible Bloom Filters.

.- Learning-Driven Paradigms for Healthcare Analytics and Biomedical Intelligence.

.- Improving Deep Learning Reliability in Edge Networks Using Parallelism Techniques.

.- Analyzing and Recognizing A Pretender’s Acoustic System by Leveraging of Novel Approach.

.- Crop Recommendations and Decision Support Systems.

.- Brain Stroke Detection and Classification using FRFCM Segmentation and classification using SVM and Random Forest methods.

.- Epileptic Seizure Detection Using Hybrid Transformer and Capsule Networks.

.- PCOS Prediction from Medical Imaging Data: Analyzing CNN Deep Learning models Comparatively using Elastic Deformation.

.- MrmrXgBr: A Machine Learning Model for Breast Cancer Identification using Next-generation Sequencing Data.

.- Secure Stream Pro–Advanced Image Audio Video Encryption And Sharing Solution For Confidential Content Management.

.- A Comparative Analysis of Transformer Models for Abstractive Summarization of Indian Legal Judgments.

.- Machine Learning Models and FOREX Analysis: USD-INR Exchange Rate Prediction for Very Short-Term Period.

.- Evaluation of Machine Learning, Deep Learning, and Hybrid Techniques for Tomato Leaf Disease Detection and Classification.

.- Data-Centric Intelligence for Enterprise Analytics, Financial Systems, and Sustainable Innovation.

.- Evaluating the Performance of Indian Private Sector Banks Using Balanced Scorecard and Statistical Modeling.

.- A Balanced Scorecard-Based Comparative Analysis of Performance Metrics in Indian Public and Private Sector Banks with Regression Insights on Return on Assets.

.- Indian Medicinal Leaf Detection: A Comparative Study with Custom CNN and VGG16.

.- Bibliometric Analysis of Artificial Intelligence in Sustainable Agricultural Practices.

.- Exploring the Role of Artificial Intelligence on Marketing: Key Applications, Industry Transformations, and Emerging Trends Shaping the Future.

.- Analyzing the Contributions of Artificial Intelligence to Enhancing Business Intelligence Capabilities within E-Commerce Platforms.

.- Application of Machine Learning in Post-Process Dimensional Accuracy Prediction During Precision Machining.

.- Intelligent Data Forwarding in Cloud Using Bio-ACO Integrated with ANN and SCTP(BIAS) Framework.

.- Detection of Defects in Solar (PV) Panels Using Dimension Reduction Model.

.- ML-Based Alzheimer's Disease Detection using Behavior Indications: A Review.

.- Design and Implementation of Quantum based Hamming Encoder and Decoder for Error Detection Applications.

.- Emerging Intelligent Systems for Secure Computing, Autonomous Technologies, and Smart Environments.

.- A Comparative Study of Advancements in Machine Learning-Based Speaker Recognition Models.

.- Healthcare Confidential: Multi-Agent Systems Revolutionizing Data Privacy.

.- A Comparative Study of Machine Learning Algorithms for Job Title Prediction Using TF–IDF.

.- Blockchain for Cloud Security: Enhancing Integrity, Validation, and Fault Tolerance.

.- Towards Motion Planning of Multi Wheeled Mobile Robots Using Dijkstra Algorithm in Complex Uncertain Environments.

.- Enhancing NER in the Medical Domain: A Transformer-Based Approach with Adversarial Training.

.- Optimizing Urban Traffic: A Combined Model of Image and Traffic Features.

.- Developing a Data-Driven Personalized Fitness Web Application for Obese and Sedentary Individuals with Django.