| Description |
1 online resource (xvi, 712 pages) |
| Series |
Lecture notes in electrical engineering ; v. 1040 |
|
Lecture notes in electrical engineering ; v. 1040.
|
| Contents |
Human Brain MRI Segmentation Approaches and Challenges: A Review -- Hyperspectral image and Deep Learning Methodology for water evaporation prediction and control system -- An Exhaustive Review on Emerging Health Care Internet of Things Technology -- A Hybrid Classification Model for Prediction of Academic Performance of Students: An EDM Application -- Fog assisted Smart healthcare prediction system for Diabetics patients -- On Some New Similarity Measures for Picture Fuzzy Hypersoft Sets with Application in Medical Diagnosis -- Survey on IoT Based Secure Health Care Framework Using Block Chain Technology -- A Methodology for Increasing Precision for the Efficient Implementation of Sigmoid Function -- Fog based Smart Healthcare Architecture in IoT Environment -- Analyzing Optimal Environment for the Text Classification in Deep Learning -- Analysis of Robotically Controlled Percutaneous Needle Insertion into ex vivo Kidney Tissue for Minimally Invasive Percutaneous Nephrolithotomy (PCNL) Surgery -- Load Balancing in Cloud Computing using Multi Agent based Algorithms -- Numerical modelling of Cu2O based gas sensor for detection of volatile organic compounds in human breath -- Wavelet and Savitzky-Golay filter based Denoising of Electrocardiogram signal: An improved approach -- Enigmas of various Techniques to implementing Authentication and Integrity in Blockchain based Wireless Sensor Networks -- Recognitionof Hypertensionthrough Retinal Fundus Images bySegmentation of Blood Vasculature -- A Comprehensive Review of Big Data Analysis Techniques in Health-Care -- Chatbots: Understanding their world, classification, and their current state -- A Systematic Assessment on 3D based Deep Learning Models and Challenges in FER -- Energy Efficient Solar Powered Raspberry Pi Pesticide Sprayer Robot for Agriculture Applications -- Deep Learning based Ensemble Framework For Brain Tumor Classification -- Machine Learning Techniques for Human Activity Recognition using Wearable Sensors -- Multi Modality Medical Image Fusion Employing various Contrast Enhancement Techniques -- Automated Plant Health Assessment through Detection of Diseased Leaflets -- Design of a Novel Smart Device for Human Safety -- A Hybrid Multi-Objective Optimization Algorithm for Scheduling Heterogeneous Workloads in Cloud -- EEG-Based Emotion Recognition Using SVM |
| Summary |
The book contains proceedings of the International Conference on Emergent Converging Technologies and Biomedical Systems ETBS 2022. It includes papers on wireless multimedia networks, green wireless networks, electric vehicles, biomedical signal processing and instrumentation, wearable sensors for health care monitoring, biomedical imaging, & bio-materials, modeling and simulation in medicine biomedical, and health informatics. The book will serve as a useful guide for educators, researchers, and developers working in the area of signal processing, imaging, computing, instrumentation, artificial intelligence, and their related applications. This book will also provide support and aid to the researchers involved in designing the latest advancements in healthcare technologies |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed August 25, 2023) |
| Subject |
Telecommunication in medicine -- Congresses
|
|
Medical technology -- Congresses
|
|
Biomedical engineering -- Congresses
|
|
Biomedical engineering.
|
|
Medical technology.
|
|
Telecommunication in medicine.
|
| Genre/Form |
proceedings (reports)
|
|
Conference papers and proceedings.
|
|
Conference papers and proceedings.
|
|
Actes de congrès.
|
| Form |
Electronic book
|
| Author |
Jain, Shruti (Associate professor of electronics and communication engineering)
|
|
Marriwala, Nikhil.
|
|
Tripathi, C. C.
|
|
Kumar, Dinesh (Dinesh K.)
|
| ISBN |
9789819922710 |
|
9819922712 |
|
