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  • Biomedical engineering science and technology = second International Conference, ICBEST 2023, Raipur, India, February 10-11, 2023 : revised selected papers /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Biomedical engineering science and technology/ edited by Bikesh Kumar Singh, G.R. Sinha, Rishikesh Pandey.
    其他題名: second International Conference, ICBEST 2023, Raipur, India, February 10-11, 2023 : revised selected papers /
    其他作者: Singh, Bikesh Kumar.
    團體作者: International Conference on Biomedical Engineering Science and Technology
    出版者: Cham :Springer Nature Switzerland : : 2024.,
    面頁冊數: xiv, 434 p. :ill. (some col.), digital ;24 cm.
    內容註: An Enhancement in K-means Algorithm for Automatic Ultrasound Image Segmentation -- Silent Speech Interface using Lip-Reading Methods -- Performance Analysis of Recent Algorithms for Compression of Various Medical Images Smart Gaming System for Hand Rehabilitation -- An Ample Review of Various Deep Learning Skills for Identifying the Stages of Sleep -- Deep Transfer Learning for Schizophrenia Detection using Brain MRI -- An Efficient Approach for Early Prediction of Sudden Cardiac Death using Two-Stage Feature Selection and Gradient Boosting Classification -- Malware Detection Framework based on Iterative Neighborhood Component Analysis for Internet of Medical Things -- An Artificial Intelligence Driven Deep Learning Model for Chest X-ray Image Segmentation -- Deep Learning Approaches for Early Detection of Obstructive Sleep Apnea using Single-Channel ECG: A Systematic Literature Review -- Performance Evaluation of Vanilla, Residual, and Dense 2D U-Net Architectures for Skull Stripping of Augmented 3D T1weighted MRI Head Scans -- EEG Based Classification of Learning Disability in Children Using Pretrained Network and Support Vector Machine -- A Two-Level Classifier for Prediction of Healthy and Unhealthy Lung Sounds Using Machine Learning and Convolutional Neural Network -- Classification of Meditation Expertise from EEG Signals using Shallow Neural Networks -- Efficient Model for Prediction of Parkinson's Disease using Machine Learning Algorithms with Hybrid Feature Selection Methods -- Classification of EEG Signals for Epilepsy Detection using PCA Analysis -- White Blood Cell Classification using Deep Transfer Learning -- A Novel Feature Selection Algorithm for the Detection of Obstructive Sleep Apnea by using Heart rate Variability and ECG Derived Respiratory Analysis -- Early diagnosis of Parkinson's Disease based on Spiral and wave drawings using Convolutional Neural Networks and Machine Learning classifier -- Analysis of Quarantine Norms and their Health care Benefits for Covid-19 -- A Deep Learning-based Sentiment Classification Approach for Detecting -- Suicidal Ideation on Social Media Posts -- Bayesian Modeling for a Shape Parameter of Weibull-Lomax Distribution -- with an Application to Health Data -- Foot Strike Patterns, Anthropometric Parameters and Somatotypesin Optimizing Multi-Sprint Sports Performance -- Minimal Surface Based Hybrid Cellular Material Model for Use in Healthcare Engineering -- Apnea Controlled CPAP for Obstructive Sleep Patient FPGA Implementation of Biological Feature based Steganography Method -- Dual-Band THz Absorption Based Refractive Index Sensor for Bio-Sensing -- A Descriptive Analysis on various Depression Detection Models of Human Brain: A review article -- Implementing a Calibration System for Demand Pacemaker using a Web-based Approach -- Common Smart Stick for Blind and Elderly People to Detect Environmental Factors and Free Navigation -- Wearable health monitoring systems for Sweat analysis -- FPGA Implementation of DNA computing and Genetic Algorithm based Medical Image Encryption Technique.
    Contained By: Springer Nature eBook
    標題: Biomedical engineering - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-54547-4
    ISBN: 9783031545474
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