Machine Learning, Image Processing, Network Security and Data Sciences
5th International Conference, MIND 2023, Hamirpur, India, December 21-22, 2023, Revised Selected Papers
(Sprache: Englisch)
This book constitutes the refereed proceedings of the 5th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2023, held in Hamirpur, India, during December 21-22, 2023.
The 29 full papers...
The 29 full papers...
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Produktinformationen zu „Machine Learning, Image Processing, Network Security and Data Sciences “
Klappentext zu „Machine Learning, Image Processing, Network Security and Data Sciences “
This book constitutes the refereed proceedings of the 5th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2023, held in Hamirpur, India, during December 21-22, 2023.The 29 full papers included in this book were carefully reviewed and selected from 173 submissions. They were organized in topical sections as follows: Machine Learning; Image Processing; Network Security; and Data Sciences.
Inhaltsverzeichnis zu „Machine Learning, Image Processing, Network Security and Data Sciences “
.- Machine Learning..- SynText - Data Augmentation Algorithm in NLP to improve performance of Emotion Classifiers.
.- Internet of Medical Things: Empowering Mobility and Health Monitoring with a Smart Walking Stick.
.- MRI Based Spatio-Temporal Model for Alzheimer's Disease Prediction.
.- Comparative Analysis of Economy-based Multivariate Oil Price Prediction using LSTM.
.- Deep Learning based EV's Charging Network Management.
.- A Machine Learning Model for Crop Yield Prediction Using Fertilizers Consumption and Land Area.
.- Detection and Classification of Waste Materials using Deep Learning Techniques.
.- A Comparative Analysis of ML Based Approaches for Identifying AQI Level.
.- Marker based Augmented Reality Application in Education domain.
.- Hate Speech Detection Using Machine Learning and Deep Learning Techniques.
.- Phishing Detection Using 1D-CNN and FF-CNN Models Based on URL of the Website.
.- Diabetes Prediction using machine learning classifiers.
.- A Deep Learning Method for Obfuscated Android Malware Detection.
.- Code-mixed language understanding using BiLSTM-BERT multi-attention fusion mechanism.
.- The Potential of 1D-CNN for EEG Mental Attention State Detection.
.- Potato Leaf Disease Classification Using Deep Learning Model.
.- Breast Cancer Detection: An Evaluation of Machine Learning, Ensemble Learning, and Deep Learning Algorithms.
.- Advancements in Facial Expression Recognition: A Comprehensive Analysis of Techniques.
.- Image Processing.
.- Sparse Representation with Residual Learning Model for Medical Image Classification.
.- COVID-19 Detection from Chest X-ray Images using GBM with Comparative Analysis.
.- Violence Detection in Indoor Domestic Environment using Multimodal Information.
.- Real-time Hand Gesture Recognition for American Sign Language using CNN, Mediapipe and Convexity approach.
.- Compressors using modified sorting and parallel counting.
.- Speed-invariant Gait
... mehr
Recognition using Correlation Factor Lists for Classroom Attendance Systems.
.- Network Security.
.- A Novel Unsupervised Learning Approach for False Data Injection Attack Detection in Smart Grid.
.- A Review of Authentication Schemes in Internet of Things.
.- A Multi-Stage Encryption Technique Using Asymmetric and Various Symmetric Ciphers.
.- Data Sciences.
.- Bridging the Gap: Condensing Knowledge Graphs for Metaphor Processing by Visualizing Relationships in Figurative and Literal Expressions.
.- Effectiveness of Influencer Marketing on Gen Z Consumer.
.- Network Security.
.- A Novel Unsupervised Learning Approach for False Data Injection Attack Detection in Smart Grid.
.- A Review of Authentication Schemes in Internet of Things.
.- A Multi-Stage Encryption Technique Using Asymmetric and Various Symmetric Ciphers.
.- Data Sciences.
.- Bridging the Gap: Condensing Knowledge Graphs for Metaphor Processing by Visualizing Relationships in Figurative and Literal Expressions.
.- Effectiveness of Influencer Marketing on Gen Z Consumer.
... weniger
Bibliographische Angaben
- 2024, 2024, XV, 364 Seiten, 128 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Naveen Chauhan, Divakar Yadav, Gyanendra K. Verma, Badal Soni, Jorge Morato Lara
- Verlag: Springer, Berlin
- ISBN-10: 3031622162
- ISBN-13: 9783031622168
Sprache:
Englisch
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