Biomedical Engineering Science and Technology: Communications in Computer and Information Science, cartea 2003
Editat de Bikesh Kumar Singh, G. R. Sinha, Rishikesh Pandeyen Limba Engleză Paperback – 15 mar 2024
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Specificații
ISBN-13: 9783031545467
ISBN-10: 303154546X
Pagini: 448
Ilustrații: XIV, 434 p. 237 illus., 193 illus. in color.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.67 kg
Ediția:2024
Editura: Springer
Colecția Communications in Computer and Information Science
Seria Communications in Computer and Information Science
Locul publicării:Cham, Switzerland
ISBN-10: 303154546X
Pagini: 448
Ilustrații: XIV, 434 p. 237 illus., 193 illus. in color.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.67 kg
Ediția:2024
Editura: Springer
Colecția Communications in Computer and Information Science
Seria Communications in Computer and Information Science
Locul publicării:Cham, Switzerland
Cuprins
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.