86,30 €
Versandkostenfrei per Post / DHL
Lieferzeit 4-7 Werktage
The 37 full papers were presented in this volume were carefully reviewed and selected from 103 submissions. These papers were organized into the following topical sections: Artificial Intelligence; Data Science; Computing; and Computer Vision.
The 37 full papers were presented in this volume were carefully reviewed and selected from 103 submissions. These papers were organized into the following topical sections: Artificial Intelligence; Data Science; Computing; and Computer Vision.
.- Artificial Intelligence.
.- Efficient Depression Detection through Two EEG Electrodes with Wave-SpatialNet.
.- A GIS based Spatial Supervised Machine Learning Classification of LISS-III Satellite Imagery.
.- Deep Learning-Enhanced Biometric Authentication with Distributed Storage.
.- A Machine Learning Based Approach for Automatic Crop Recommendation System.
.- Performance Evaluation of Machine Learning Classifiers with Grid Search Hyperparameter Tuning for sEMG Signal Classification.
.- Predicting Insurance Premium for Life Insurance Applicants using Machine Learning.
.- Enhancing Chronic Kidney Disease Prediction Using Explainable Machine Learning Models.
.- Impact of Image Resolution and Class Complexity on QCNN Performance.
.- Hybrid Decision Tree and Genetic Algorithm for Enhanced Classification Accuracy.
.- Artificial Intelligence, Customer Engagement, and Customer Loyalty: A Framework of Assam Based Tourism.
.- Data Science.
.- A Multimodal Biometric Based on Audio and Visio Trait: A Review.
.- Attention-based Efficient CNN-GRU Architecture for Human Action Recognition.
.- DeepIntrospector: On designing an alert-fusion based hybrid VMM-IDS framework for effective threat identification.
.- Assessing Legal Awareness and the Need for Regional Legal Technology: Insights from a Survey-Based Study.
.- Pressmatch: A Data-Driven Framework to Automate Journalist Recommendation for Media Coverage.
.- AndroV-Rank: Optimized Android Malware Detection through VIKOR-Ranked Hybrid Features.
.- NLP Tools and Resources to Revitalize Potentially Vulnerable Low Resourced Kudmali Language: A Brief Overview.
.- Enhancing Sentiment Analysis: A Robust Approach to Fake Review Detection Using Feature Fusion.
.- A Multidimensional Approach to Context-Aware Cyberbullying Detection Through Metadata Analysis.
.- Machine learning approach to predict the power conversion efficiency of CsSnI3 based solar cell.
.- Computing.
.- Cloud-Based EHR Security Using Hybrid Cryptographic Techniques.
.- A High Capacity Non-Blind 3D Mesh Data Hiding Technique.
.- Exploring Word Prediction in Bodo: A Step Toward Low-Resource Language Processing.
.- A Dynamic Load Balancing Approach in Software-Defined Network.
.- Energy-Efficient Hybrid GA-PSO Resource Scheduling for Digital Twin-Oriented IoT Applications in Mist Computing.
.- Computer Vision.
.- Coffee Leaves Rust Detection using YOLOv8.
.- A Comparative Analysis of Deep CNN Models for classifying Plant Leaf Disease.
.- Multi-Modal Aerial Surveillance for Dynamic Crack Detection on Indian Roads.
.- Hand Gesture Detection of Sattriya Dance Utilizing Deep learning and Handcrafted Features.
.- Ship Segmentation in Satellite Imagery using Cross-modal Attention Integrated High-Resolution Network.
.- Enhanced Deepfake Detection and Classification Using Vision Transformers (ViT).
.- Convolutional Neural Network-based Model for Breast Cancer Classification.
.- Integrating Aerial and Ground level image data for Leaf and Stem Rust Detection using Texture and color Features.
.- SegCapNet: Enhancing E-Commerce Visual Search with U2-Net Segmentation and BLIP Captioning.
.- Real-Time Speed Estimation, License Plate Recognition of Detected vehicles for the Intelligent Traffic Management System.
.- Intelligent Deep Learning Based Feature Fusion Model for Remote Sensing Image Analysis.
.- EfficientNetV2 based approach for disease detection in Mango plant leaves using drone images.
| Erscheinungsjahr: | 2026 |
|---|---|
| Fachbereich: | Anwendungs-Software |
| Genre: | Informatik, Mathematik, Medizin, Naturwissenschaften, Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
xxvi
512 S. 26 s/w Illustr. 207 farbige Illustr. 512 p. 233 illus. 207 illus. in color. |
| ISBN-13: | 9783032102492 |
| ISBN-10: | 3032102499 |
| Sprache: | Englisch |
| Herstellernummer: | 89571615 |
| Einband: | Kartoniert / Broschiert |
| Redaktion: |
Singh, Pankaj Pratap
Prasad, Shitala Singh, Pranav Kumar Radeva, Petia |
| Herausgeber: | Pankaj Pratap Singh/Shitala Prasad/Pranav Kumar Singh et al |
| Hersteller: |
Springer
Palgrave Macmillan Springer International Publishing AG |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 235 x 155 x 29 mm |
| Von/Mit: | Pankaj Pratap Singh (u. a.) |
| Erscheinungsdatum: | 31.01.2026 |
| Gewicht: | 0,809 kg |