Actions for Machine Learning, Image Processing, Network Security and Data Sciences [electronic resource] : 5th International Conference, MIND 2023, Hamirpur, India, December 21-22, 2023, Revised Selected Papers
Machine Learning, Image Processing, Network Security and Data Sciences [electronic resource] : 5th International Conference, MIND 2023, Hamirpur, India, December 21-22, 2023, Revised Selected Papers / edited by Naveen Chauhan, Divakar Yadav, Gyanendra K. Verma, Badal Soni, Jorge Morato Lara
- Published
- Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
- Edition
- 1st ed. 2024.
- Physical Description
- XV, 364 p. 165 illus., 128 illus. in color. online resource
- Additional Creators
- Chauhan, Naveen, Yadav, Divakar, Verma, Gyanendra K., Soni, Badal, Lara, Jorge Morato, and SpringerLink (Online service)
Access Online
- Series
- Contents
- -- 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 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.
- Summary
- 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.
- Subject(s)
- ISBN
- 9783031622175
- Digital File Characteristics
- text file PDF
- Part Of
- Springer Nature eBook
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