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Computational Intelligence in Data Science: 8th IFIP TC 12 International Conference, ICCIDS 2025, Chennai, India, February 1214, 2025, Revised Selected Papers, Part I [Kõva köide]

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  • Formaat: Hardback, 425 pages, kõrgus x laius: 235x155 mm, 204 Illustrations, black and white; XIV, 425 p. 204 illus., 1 Hardback
  • Sari: IFIP Advances in Information and Communication Technology 748
  • Ilmumisaeg: 05-Sep-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031983556
  • ISBN-13: 9783031983559
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Computational Intelligence in Data Science: 8th IFIP TC 12 International Conference, ICCIDS 2025, Chennai, India, February 1214, 2025, Revised Selected Papers, Part I
  • Formaat: Hardback, 425 pages, kõrgus x laius: 235x155 mm, 204 Illustrations, black and white; XIV, 425 p. 204 illus., 1 Hardback
  • Sari: IFIP Advances in Information and Communication Technology 748
  • Ilmumisaeg: 05-Sep-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031983556
  • ISBN-13: 9783031983559
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031983559.html
The three-volume set IFIP ICCIDS 748, 749 and 750 constitutes the refereed post-conference proceedings of the 8th IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS 2025, held in Chennai, India, during February 1214, 2025. 





The 91 papers including 70 regular papers and 21 short papers included in these proceedings were carefully reviewed and selected from 317 submissions. The papers are organized in the following topical sections:





Part I: Computer Vision for Real World Applications.





Part II: Computer Vision for Real World Applications; Emerging Trends in AI for Speech and Text.





Part III: Emerging Trends in AI for Speech and Text; Computational Intelligence for Secure, Smart and Sustainable Applications
.- Computer Vision for Real World Applications.


.- AI-Enhanced breast cancer diagnosis (BCD) using machine learning models
with GA-SA Hybrid.


.- Efficient Medicinal Plant Leaf Classification Using MobileNet
Architecture: A Deep Learning Approach.


.- SAVER: A Cost-Effective Drone-Based Object Detection and Thermal Mapping
System for Enhanced Emergency Response.


.- Anchors as Building Blocks: A Detailed survey of Scene Graph Decomposition
and Captioning.


.- Signxv8 For Realtime Sign Language Translation.


.- Advanced Multi-Class Brain Tumor Segmentation Using Deep Learning
Architectures.


.- EduVid: Transforming Educational Text into Engaging Videos.


.- Optimizing the Hyperparameters for Classification of Lung Diseases from
Chest X-ray Images.


.- ResUNet-AttnASPP A novel ResUNet architecture with Atrous Spatial
Pyramid Pooling (ASPP) and attention gates for efficient brain tumor
segmentation.


.- Leveraging Convolutional Neural Networks for Gait Recognition and
Individual Identification for improved neurological care.


.- Deep Learning for Enhanced Delineation and Classification in Brain MRI
Images.


.- EfficientNetB1-Based Model for Brain Tumor Classification in MRI.


.- FoodWise: Diabetes-Friendly Nutrition Guide for Traditional Indian
Dishes.


.- The Amphibian and Reptiles Classification from Camera Trap Images Using
Deep Learning.


.- Deciphering the Intricacies of Pancreatic Malignancy Through Advanced Deep
Learning Methodologies.


.- Beam Light Detection and Intensity Analysis using Computer Vision.


.- Deep CNN Based Image Classifier for Home CCTV Monitoring System to Detect
Intruders.


.- Optimizing Terrain Classification with Multi-Spectral Imaging Using
Machine Learning Models.


.- Empirical Analysis of Deep Learning Models for Multinational Currency
Detection.


.- Real-Time Sign Language Recognition and Multilingual Translation Using
Ensemble Deep Neural Networks and TensorFlows MoveNe.


.- Automated Melanoma Detection using integrated Neural network
architectures.


.- A Hybrid Deep Learning Framework for Image Deblurring and Colorization
using CNNs and GANs.


.- PawsitivelyYours: A Comprehensive Approach to Detect Canine Atopic
Dermatitis.


.- Attention Integrated DenseNet121 based U-Net Model for Efficient
Segmentation using LGG Tumor data.


.- Deep Convolutional Neural Network Model For Predicting Alzheimers
Disease.


.- Automatic Comic Converter From Videos.


.- Efficient Channel Attention Based CNN For Skin Disease Classification.


.- Satellite Image Analysis Using Convolution Neural Networks For
Environmental Monitoring.


.- Backend Optimization and Face Recognition in Real-Time Surveillance using
DeepFace.