Machine learning, image processing, network security and data sciences 5th international conference, MIND 2023, Hamirpur, India, December 21-22, 2023 : revised selected papers

.- 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. .- Comp...

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Körperschaft: International Conference on Machine Learning, Image Processing, Network Security, and Data Sciences (VerfasserIn)
Weitere Verfasser: Chauhan, Naveen (HerausgeberIn), Yadav, Divakar (HerausgeberIn), Verma, Gyanendra K. (HerausgeberIn), Soni, Badal (HerausgeberIn), Morato Lara, Jorge (HerausgeberIn)
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Sprache:eng
Veröffentlicht: Cham Springer 2024
Schriftenreihe:Communications in computer and information science 2128
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Zusammenfassung:.- 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.
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
Beschreibung:Literaturangaben
Beschreibung:xv, 364 Seiten
Illustrationen, Diagramme
ISBN:9783031622168
978-3-031-62216-8