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Intelligent Systems and Machine Learning
Details
This two-volume set constitutes the refereed proceedings of the First EAI International Conference on Intelligent Systems and Machine Learning, ICISML 2022, held in Hyderabad, India, in December 16-17,2022.
The 75 full papers presented were carefully reviewed and selected from 209 submissions. The conference focuses on Intelligent Systems and Machine Learning Applications in Health care; Digital Forensic & Network Security; Intelligent Communication Wireless Networks; Internet of Things (IoT) Applications; Social Informatics; and Emerging Applications.
Klappentext
Intelligent Systems and Machine Learning Applications in Health care.- Improving Multi-class Brain Tumor Detection using Vision Transformer as Feature Extractor.- Measles rash disease classification based on various CNN classifiers.- BRAIN IMAGING TOOL IN PATIENTS WITH TRANS ISCHEMIC ATTACK: A COMPARITIVE RESEARCH STUDY ANALYSIS OF COMPUTED TOMO.- EEG-based Stress Detection Using K-Means Clustering Method.- Detection of Psychological Stability Status Using Machine Learning Algorithms.- GLCM Based Feature Extraction and Medical X-ray Image Classification Using Machine Learning Techniques.- Multi filter wrapper enhanced machine learning model for cancer diagnosis.- An Interactive Web Solution for Electronic Health Records Segmentation and Prediction.- A Convolutional Neural Network based Prediction Model for Classification of Skin Cancer Images.- Multimodal Biomedical Image Fusion Techniques in Transform and spatial Domain:An Inclusive Survey.- Early Prediction of Coronary Heart Disease Using the Boruta Metho.- Design and Implementation of Obesity Healthcare System (OHS) using Flutter Platform.- A Survey on Covid-19 Knowledge Graphs and their Data Sources.- Identify Melanoma using CNN.- Digital Forensic & Network Security.- Machine Learning based Malware Analysis in Digital Forensic with IoT Devices.- Malicious Codes Detection : Deep Learning Techniques.- Securing Outsourced Personal Health Records On Cloud Using Encryption Techniques.- Design and Evaluation Decentralized Transactional Network Based Blockchain Technology using Omnet++.- Movie Synchronization System using Web Socket based Protocol.- A Study on Android Malware Detection using Machine Learning Algorithms.- Intelligent Communication Wireless Networks.- A Survey on Deep Recurrent Q networks.- Predicting Credit Card Defaults with Machine Learning Algorithm using Customer Database.- Enhancement of Signal to Noise Ratio for QAM signal in Noisy channel.- GSM ENABLED PATIENT MONITORING SYSTEM USING ARDUINO APPLICATION FOR CARDIAC SUPPORT.- Reso-Net: Generic Image Resolution Enhancement Using Convolutional Autoencoders.- Smart Traffic System with Green Time optimization using Fuzzy logic.- Early Diagnosis of Rheumatoid Arthritis of the Wrist Using Power Doppler Ultrasound: A Review.- An intrusion detection System and Attack Intension used in Network forensic exploration.- Comparison of Advanced Encryption Standard Variants Targeted at FPGA Architectures.- Characteristics and Analysis of ElectroGastroGram Signal.- A COMPARATIVE STUDY OF POWER OPTIMIZATION USING LEAKAGE REDUCTION TECHNIQUES.- Design and Implementation of 4-bit High Speed Array Multiplier for Image CodingDesign and Implementation of 4-bit High Speed Array Multiplier for Image Coding.- Internet of Things (IoT) Applications.- Smart Traffic Police Helmet: Using Image Processing and IoT.- Interconnected Hospitals using IOT.- Automatic oxygen ventilation and monitoring system using IoT.- Social Informatics.- Social Media Sentiment Analysis Using Deep Learning Approach.- Movie Recommendation Using Content-Based and Collaborative Filtering Approach.- Movie Recommendation Using Content-Based and Collaborative Filtering Approach.- Movie Recommendation System using Composite Ranking.- SOCIAL DISTANCING AND FACE MASK DETECTION USING OPEN CV.- Predicting the Likeliest Customers; Minimizing Losses on Product Trials using Business Analytics.- Television price prediction based on features with Machine Learning.- Emerging Applications.- A Model for Engineering, Procurement, and Con
Inhalt
Intelligent Systems and Machine Learning Applications in Health care .- Improving Multi-class Brain Tumor Detection using Vision Transformer as Feature Extractor.- Measles rash disease classification based on various CNN classifiers.- BRAIN IMAGING TOOL IN PATIENTS WITH TRANS ISCHEMIC ATTACK: A COMPARITIVE RESEARCH STUDY ANALYSIS OF COMPUTED TOMO.- EEG-based Stress Detection Using K-Means Clustering Method.- Detection of Psychological Stability Status Using Machine Learning Algorithms.- GLCM Based Feature Extraction and Medical X-ray Image Classification Using Machine Learning Techniques.- Multi filter wrapper enhanced machine learning model for cancer diagnosis.- An Interactive Web Solution for Electronic Health Records Segmentation and Prediction.- A Convolutional Neural Network based Prediction Model for Classification of Skin Cancer Images.- Multimodal Biomedical Image Fusion Techniques in Transform and spatial Domain:An Inclusive Survey.- Early Prediction of Coronary Heart Disease Using the Boruta Metho.- Design and Implementation of Obesity Healthcare System (OHS) using Flutter Platform.- A Survey on Covid-19 Knowledge Graphs and their Data Sources.- Identify Melanoma using CNN.- Digital Forensic & Network Security .- Machine Learning based Malware Analysis in Digital Forensic with IoT Devices.- Malicious Codes Detection : Deep Learning Techniques.- Securing Outsourced Personal Health Records On Cloud Using Encryption Techniques.- Design and Evaluation Decentralized Transactional Network Based Blockchain Technology using Omnet++.- Movie Synchronization System using Web Socket based Protocol.- A Study on Android Malware Detection using Machine Learning Algorithms.- Intelligent Communication Wireless Networks .- A Survey on Deep Recurrent Q networks.- Predicting Credit Card Defaults with Machine Learning Algorithm using Customer Database.- Enhancement of Signal to Noise Ratio for QAM signal in Noisy channel.- GSM ENABLED PATIENT MONITORING SYSTEM USING ARDUINO APPLICATION FOR CARDIAC SUPPORT.- Reso-Net: Generic Image Resolution Enhancement Using Convolutional Autoencoders.- Smart Traffic System with Green Time optimization using Fuzzy logic.- Early Diagnosis of Rheumatoid Arthritis of the Wrist Using Power Doppler Ultrasound: A Review.- An intrusion detection System and Attack Intension used in Network forensic exploration.- Comparison of Advanced Encryption Standard Variants Targeted at FPGA Architectures.- Characteristics and Analysis of ElectroGastroGram Signal.- A COMPARATIVE STUDY OF POWER OPTIMIZATION USING LEAKAGE REDUCTION TECHNIQUES.- Design and Implementation of 4-bit High Speed Array Multiplier for Image CodingDesign and Implementation of 4-bit High Speed Array Multiplier for Image Coding.- Internet of Things (IoT) Applications .- Smart Traffic Police Helmet: Using Image Processing and IoT.- Interconnected Hospitals using IOT.- Automatic oxygen ventilation and monitoring system using IoT.- Social Informatics .- Social Media Sentiment Analysis Using Deep Learning Approach.- Movie Recommendation Using Content-Based and Collaborative Filtering Approach.- Movie Recommendation Using Content-Based and Collaborative Filtering Approach.- Movie Recommendation System using Composite Ranking.- SOCIAL DISTANCING AND FACE MASK DETECTION USING OPEN CV.- Predicting the Likeliest Customers; Minimizing Losses on Product Trials using Business Analytics.- Television price prediction based on features with Machine Learning.- Emerging Applications .- A Model for Engineering, Procurement, and Construction (EPC) Organizations Using Vendor Performance Rating System.- F2PMSMD: Design of a Fusion model to identify Fake Profiles from Multimodal SocialMedia Datasets.- A Novel Model To Predict The Whack Of pandemics On The International Rankings Of Academi…
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783031350771
- Genre Information Technology
- Auflage 1st ed. 2023
- Editor Sachi Nandan Mohanty, Vicente Garcia Diaz, G. A. E. Satish Kumar
- Lesemotiv Verstehen
- Anzahl Seiten 521
- Größe H29mm x B155mm x T235mm
- Jahr 2023
- EAN 9783031350771
- Format Kartonierter Einband
- ISBN 978-3-031-35077-1
- Titel Intelligent Systems and Machine Learning
- Untertitel First EAI International Conference, ICISML 2022, Hyderabad, India, December 16-17, 2022, Proceedings, Part I
- Herausgeber Springer
- Sprache Englisch