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  • Machine learning, image processing, network security and data sciences = 5th International Conference, MIND 2023, Hamirpur, India, December 21-22, 2023 : revised selected papers /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Machine learning, image processing, network security and data sciences/ edited by Naveen Chauhan ... [et al.].
    其他題名: 5th International Conference, MIND 2023, Hamirpur, India, December 21-22, 2023 : revised selected papers /
    其他題名: MIND 2023
    其他作者: Chauhan, Naveen.
    團體作者: MIND (Conference : Machine Learning, Image Processing, Network Security and Data Sciences)
    出版者: Cham :Springer Nature Switzerland : : 2024.,
    面頁冊數: xv, 364 p. :ill. (some col.), digital ;24 cm.
    內容註: 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.
    Contained By: Springer Nature eBook
    標題: Machine learning - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-62217-5
    ISBN: 9783031622175
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