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Data Analytics and Learning : Proceedings of DAL 2024 / edited by D. S. Guru, Archana M. Rajurkar, N. Vinay Kumar, Venkat N. Gudivada.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online

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Format:
Book
Author/Creator:
Guru, D. S.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1540
Language:
English
Subjects (All):
Computational intelligence.
Data mining.
Signal processing.
Computational Intelligence.
Data Mining and Knowledge Discovery.
Signal, Speech and Image Processing.
Local Subjects:
Computational Intelligence.
Data Mining and Knowledge Discovery.
Signal, Speech and Image Processing.
Physical Description:
1 online resource (416 pages)
Edition:
1st ed. 2026.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
Summary:
This book presents new theories and working models in the areas of data analytics and learning. The papers included in this book were presented at the third International Conference on Data Analytics and Learning (DAL 2024), which was organized by MGM’s College of Engineering Nanded, Maharashtra, India in association with the Department of Studies in Computer Science, University of Mysore, Mysuru, Karnataka, India. The areas covered include pattern recognition, image processing, deep learning, computer vision, data analytics, machine learning, artificial intelligence, and intelligent systems.
Contents:
Impact the accuracy of AQI predications using Human-AI teaming
Predicting Stroke Risk: A Machine Learning Approach
Vehicle Recognition System for Intelligent Traffic System using Feed-Forward Neural Network Techniques
Optimized Pothole Detection with a Fine-Tuned YOLOv8 Model and Depth Estimation on Indian Roadways using monocular vision method
Detection of DDOS Attacks in IoT Based Smart Home Networks using ML Algorithms
Improved Brain Tumor Detection Using an Enhanced VGG-19 Model with Modified Stochastic Gradient Descent Optimizer
Radial Pulse Pattern Recognition Using Deep Learning
Full Paper: Improved LinkNet model with Statistical and Deep Feature Extractors for Breast Cancer Detection with Mammogram Image
Algorithmic Simplicity: A Step Towards Intelligent Analysis
Leveraging Big Data Analytics in Biomedical Informatics for Early Disease Detection and Personalized Treatment Plans to Improve Health Outcomes and Reduce Healthcare Costs
AI-based neurological disease detection for early diagnosis
Innovation In Indian Sign Language For Deaf And Dumb Individual Using Deep Learning
Segmentation of Dermatoscopic images using wavelet Transform
LBP features in cattle age estimation: Optimized Feature Engineering Pipeline
Shape-aware thoracic edge map chest x-ray representation for pulmonary abnormality screening
Retrieval of Kannada vachanas based on philosophical meaning using machine learning
Advancing Text-to-Video Models: A study of Schedulers and Learning Techniques in Video Synthesis
Enhancing Signature Detection from Scanned Documents Using Hybrid Detection Model and Post Processing
Enhancing Indian Traffic Sign Detection Efficiency with Iterative Training Techniques and Augmentation
Analysis of Explainable AI Techniques in a Computer Vision-based Maritime Surveillance System
Adaptive Localization Strategies for Underwater WSNs: The PSO-AUV Hybrid Model
A Hybrid Transformer Model for Robust Multimodal Emotion Recognition Using Audio and Text Data
MIVT: Medical-Informed Vision Transformer for Early Epilepsy Diagnosis.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
981-9695-33-3
9789819695331
OCLC:
1568046247

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