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E-grāmata: Machine Learning, Image Processing, Network Security and Data Sciences: 5th International Conference, MIND 2023, Hamirpur, India, December 21-22, 2023, Revised Selected Papers

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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 2122, 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.
.- 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 Alzheimers Disease Prediction.

.- Comparative Analysis of Economy-based Multivariate Oil Price Prediction
using LSTM.

.- Deep Learning based EVs 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.
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