Muutke küpsiste eelistusi

Applications of Artificial Intelligence and Data Science: First Global Conference, AAIDS 2024, London, UK, April 35, 2024, Proceedings [Pehme köide]

Edited by , Edited by , Edited by
  • Formaat: Paperback / softback, 424 pages, kõrgus x laius: 235x155 mm, 153 Illustrations, black and white; XII, 424 p. 153 illus., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2601
  • Ilmumisaeg: 12-Aug-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031984978
  • ISBN-13: 9783031984976
Teised raamatud teemal:
  • Pehme köide
  • Hind: 71,86 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 84,54 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Paperback / softback, 424 pages, kõrgus x laius: 235x155 mm, 153 Illustrations, black and white; XII, 424 p. 153 illus., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2601
  • Ilmumisaeg: 12-Aug-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031984978
  • ISBN-13: 9783031984976
Teised raamatud teemal:

This CCIS post conference volume constitutes the proceedings of First Global Conference on Applications of Artificial Intelligence and Data Science, AAIDS 2024,  in London, UK, April 2024. 

The 30 full papers presented were carefully reviewed and selected from 147 submissions. They were focused on topical sections as follows: Advanced Computing and Statistics; Data Science and Hybrid AI Systems.

.- Advanced Computing and Statistics


.- Towards Reserve Margin Correction via Outage Capacity Forecasting Using
Gramian Angular Field and Long Short-Term Memory (LSTM).
.- Comparison of Hyperspectral Image Reconstruction for Medical Images.
.- Kidney MRI Segmentation Using Deep Learning.
.- A Comparative Analysis of Ensemble Strategies for Enhanced
Machine Learning Results.
.- Neural Network -Based Robust Adaptive OutputFeedback Control for MIMO
Time-Varying Delay Systems.
.- Potato Leaf Disease Classification Using Resnet50ViT.
.- Indonesian Named Entity Recognition Model for Identifying Human Hobbies.
.- Comparative Analysis Between Time Series Feature Extraction with Sliding
Window and Data Framing Method for Energy Forecasting Using Artificial Neural
Network.
.- An Internet of Drone Things-Enabled Inspection Ecosystem for Smart Cities
and Society.
.- Enhancing Wireless Sensor Network Security Against Wormhole Attacks with
Twofish Encryption.


.-  Data Science


.- Classifying Depressed and Healthy Individuals Using Wearable Sensor Data:
A Comparative Analysis of Machine Learning and Deep Learning Approaches.
.- Detour: Understanding the Application of Artificial Intelligence
Based Models in Forecasting Safe Travel Routes.
.- An Approach to Compute the Adaptive Dynamic Diameter of Data Stream
Clusters.
.- XMR Net: A Deep Model for Vehicle Make and Model Recognition Using
Still-Images.
.- Semi-Automatic Tool to Assist Radiologist for Pneumothorax Detection and
Localization.
.- Parenthood Responsibility Mining Using Social Network Mining Approach.
.- Unleashing Machine Learning for Accurate Weather Forecasts.
.- BFL: Blockchain-Federated Learning for Privacy Preservation in Internet of
Underwater Things.
.- Exploring and Contrasting Machine Learning Classifiers for Citrus Plant
Disease Classification.
.- GloVe-LSTM: An Artificial Attention-Based Algorithm for Sentiment Analysis
of Pandemic Times for Enhanced Decision Support.


.- Hybrid AI Systems


.- .Breast DCE-MRI Registration Using Student Psychology-based Optimization
Algorithm with Centroid Opposition-Based Learning
.- Brain MRI Registration Using Fireworks Algorithm.
.- Quantifying Climate Change Effects on Standard Minimum and Maximum Average
Temperature Extremes in Bangladesh: A Machine Learning Regression Analysis
from past to Present.
.- Explainable Machine Learning Strategy to Discover Attributes Accountable
for ASD Detection.
.- Short-Term Water Demand Forecasting: A Comparative Study of Deep Learning
and Conventional Machine Learning Algorithms.
.- Improving Crop Yield Prediction Accuracy: A Hybrid Machine Learning
Approach.
.- PPIoDT: GSO-FL Based Privacy Preserving IoDT Guided Ocean-Wind Aware Ship
Trajectory Recommendation.
.- Multiple Linear Regression based Multipath Green Routing for Internet of
Vehicular Things in Smart Cities.
.- FemCrop: A Femtocell-Based Edge-Cloud Frame-Work for Crop Yield Prediction
Using Deep Learning.
.- Detection of ransomware attacks using federated learning based on the CNN
model.