東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Advances in Health Informatics, Inte...

International Conference on Health Informatics, Intelligent Systems, and Networking Technologies ((2024 :)

Linked to FindBook

Google Book

Amazon

博客來

Advances in Health Informatics, Intelligent Systems, and Networking Technologies = proceedings of HINT 2024 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in Health Informatics, Intelligent Systems, and Networking Technologies/ edited by Andrew Jeyabose, Valentina Emilia Balas, Steven L. Fernandes.
Reminder of title:	proceedings of HINT 2024 /
remainder title:	HINT 2024
other author:	Jeyabose, Andrew.
corporate name:	International Conference on Health Informatics, Intelligent Systems, and Networking Technologies
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xiv, 683 p. :ill., digital ;24 cm.
[NT 15003449]:	Part 1: Health Informatics -- Integrating Behavioral, Biometric, and Environmental Data for Health Insights -- Revolutionizing Antifungal Treatment: Machine Learning Insights into Candida Species Antimicrobial Resistance Patterns for Informed Clinical Decisions -- FutureGlycemics:A Comparative Study Of Diverse Machine Learning Models For Diabetes Prognosis -- Eating Disorder Detection and Classification using Machine Learning -- Decoding Diabetic Retinopathy: A Comprehensive Analysis through Diverse Deep Learning Algorithms -- Application of Deep Learning Techniques to Perform Multi-class Skin Disease Classification -- Eeg Based Emotion Recognition Using Genetic Algorithms Optimized Ensemble Model -- Deep Learning for classifying Mild Traumatic Brain Injury for the need of CT scans using EEG signals -- Efficient Deep Learning Models for Automated Diagnosis of Tuberculosis Using Chest X-ray -- Prediction of Chronic Disease using Deep Ensembled Machine Learning Approach -- Decoding Health Informatics Patents: Investigating Topic Models for Patent Information Retrieval -- Analysis of Foramen Magnum from Skull Images Using Image Processing Techniques -- Early Prediction of Thyroid Disease through the Integration of Machine Learning Algorithms and Particle Swarm Optimization-Based Feature Extraction: A Novel Approach for Improved Diagnosis -- Detection of Forgery in Medical Images using Deep Learning -- Improving Brain Tumor Segmentation from MR Images Through Integration of Preprocessing Techniques -- Sleep Disorders and Heart Disease: A Machine Learning Exploration -- Classification of Alzheimer's Disease From EEG Signals using Ensemble Learning and Deep Learning approaches -- Detection of Brain Tumor from MR Images Using Region Based Convolutional Neural Network (RCNN) -- Part II: Intelligent Systems -- Comprehensive Performance Analysis of PySpark and Pandas for Classification and Clustering Task -- Enhancing Women's Safety: An Implementation and Integration Framework for Real-Time Safety Systems -- A Comprehensive Study of Image Deduplication Techniques Addressing Challenges and Advancements in Storage Optimization -- Shadow Detection through YCbCr Color Space for Enhanced Scanned Document Quality -- Recommending Fashions using Computer Vision based Artificial Intelligent approaches - A comprehensive analysis -- Smart Farming Solutions: Advanced Techniques in Clas-sification of Weeds Using Image Processing and Machine Learning -- ResFruitGrader: Leveraging Residual Networks for Advanced Fruit Quality Grading Systems -- A/B Testing for Beginners: Reusable Controlled Experiments -- NeuroNet: Early detection of Alzheimer's Disease using Deep Learning -- From Dataset Creation to Recognition Precision: A Comprehensive Study on Machine Learning Algorithms for Tulu Script -- SmartEval: Advancing Automated Evaluation of Textual Answer Scripts with Transformer Models -- Leveraging Pretrained Super-Resolution Models for Deep Steganography in YUV Color Space -- Intelligent Attention-based transformer models for Text Extraction: A proof of concept -- Part III: Networking Technologies -- The Threat Triplet: RATs, Keyloggers And Registry Keys - A Proof of Concept Analysis -- Improving the Transmission Performance to Minimizing the Latency in Mobile Adhoc Network -- Enhancing Autonomous Navigation for Visually Impaired Individuals Using Real-Time Object Detection and Voice Feedback System -- Gaussian Differential Privacy Federated Learning to Identify Ocular Diseases -- Enhancing Virus Detection Through Advanced Aggregation of Low-Level Features in Medical Imagery -- Enhancing ASV Security: An Integrated Ensemble Detector for Logical Access and DeepFake Attacks -- Detecting Forgery in War Footage for Information Accuracy -- A Hyperledger-based Chaincode for Registration and Authorization in Secure Parking Systems -- An EEG-Based Brain-Computer Interface Approach for Enhanced Interaction with Digital Devices -- A Comparative study of performance in Spectrum Utilization during spectrum sensing between CR-VANET and CR-VANET-QL -- Part IV: Bigdata and Data mining -- Streamlining Banking Operations: A Computer Vision-based Queue Management System for Improved Customer Service -- Enhancing Educational Environments: Object Recognition and Relationship Inference through YOLO in Education 5.0 -- Unlocking Imagination: Story Generation from Autistic Childrens' artwork using a fusion of Computer Vision and NLP -- Image Recognition for Medicinal Plants using Deep Neural Networks -- Text-based Emotion Recognition with Hybrid Feature Selection and Ensemble Classification: A BERT and RoBERTa Approach -- Segmentation Techniques for Automatic Foreground and Background Area Separation in Multi-Temporal Sentinel-1A Imagery: A Comparative Study -- 64_Keyword Extraction in Learning Managemnt System (LMS) using Natural Language Processing (NLP) -- WoS Bibliometric and Content Analysis on Handwritten Hindi Characters Recognition -- Exploring Sleep Quality: Influential Factors and Implications.
Contained By:	Springer Nature eBook
Subject:	Medical informatics - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-96-4008-9
ISBN:	9789819640089

Advances in Health Informatics, Intelligent Systems, and Networking Technologies = proceedings of HINT 2024 /
Advances in Health Informatics, Intelligent Systems, and Networking Technologiesproceedings of HINT 2024 /[electronic resource] :HINT 2024edited by Andrew Jeyabose, Valentina Emilia Balas, Steven L. Fernandes. - Singapore :Springer Nature Singapore :2025. - xiv, 683 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 12862367-3389 ;. - Lecture notes in networks and systems ;v. 1286..

Part 1: Health Informatics -- Integrating Behavioral, Biometric, and Environmental Data for Health Insights -- Revolutionizing Antifungal Treatment: Machine Learning Insights into Candida Species Antimicrobial Resistance Patterns for Informed Clinical Decisions -- FutureGlycemics:A Comparative Study Of Diverse Machine Learning Models For Diabetes Prognosis -- Eating Disorder Detection and Classification using Machine Learning -- Decoding Diabetic Retinopathy: A Comprehensive Analysis through Diverse Deep Learning Algorithms -- Application of Deep Learning Techniques to Perform Multi-class Skin Disease Classification -- Eeg Based Emotion Recognition Using Genetic Algorithms Optimized Ensemble Model -- Deep Learning for classifying Mild Traumatic Brain Injury for the need of CT scans using EEG signals -- Efficient Deep Learning Models for Automated Diagnosis of Tuberculosis Using Chest X-ray -- Prediction of Chronic Disease using Deep Ensembled Machine Learning Approach -- Decoding Health Informatics Patents: Investigating Topic Models for Patent Information Retrieval -- Analysis of Foramen Magnum from Skull Images Using Image Processing Techniques -- Early Prediction of Thyroid Disease through the Integration of Machine Learning Algorithms and Particle Swarm Optimization-Based Feature Extraction: A Novel Approach for Improved Diagnosis -- Detection of Forgery in Medical Images using Deep Learning -- Improving Brain Tumor Segmentation from MR Images Through Integration of Preprocessing Techniques -- Sleep Disorders and Heart Disease: A Machine Learning Exploration -- Classification of Alzheimer's Disease From EEG Signals using Ensemble Learning and Deep Learning approaches -- Detection of Brain Tumor from MR Images Using Region Based Convolutional Neural Network (RCNN) -- Part II: Intelligent Systems -- Comprehensive Performance Analysis of PySpark and Pandas for Classification and Clustering Task -- Enhancing Women's Safety: An Implementation and Integration Framework for Real-Time Safety Systems -- A Comprehensive Study of Image Deduplication Techniques Addressing Challenges and Advancements in Storage Optimization -- Shadow Detection through YCbCr Color Space for Enhanced Scanned Document Quality -- Recommending Fashions using Computer Vision based Artificial Intelligent approaches - A comprehensive analysis -- Smart Farming Solutions: Advanced Techniques in Clas-sification of Weeds Using Image Processing and Machine Learning -- ResFruitGrader: Leveraging Residual Networks for Advanced Fruit Quality Grading Systems -- A/B Testing for Beginners: Reusable Controlled Experiments -- NeuroNet: Early detection of Alzheimer's Disease using Deep Learning -- From Dataset Creation to Recognition Precision: A Comprehensive Study on Machine Learning Algorithms for Tulu Script -- SmartEval: Advancing Automated Evaluation of Textual Answer Scripts with Transformer Models -- Leveraging Pretrained Super-Resolution Models for Deep Steganography in YUV Color Space -- Intelligent Attention-based transformer models for Text Extraction: A proof of concept -- Part III: Networking Technologies -- The Threat Triplet: RATs, Keyloggers And Registry Keys - A Proof of Concept Analysis -- Improving the Transmission Performance to Minimizing the Latency in Mobile Adhoc Network -- Enhancing Autonomous Navigation for Visually Impaired Individuals Using Real-Time Object Detection and Voice Feedback System -- Gaussian Differential Privacy Federated Learning to Identify Ocular Diseases -- Enhancing Virus Detection Through Advanced Aggregation of Low-Level Features in Medical Imagery -- Enhancing ASV Security: An Integrated Ensemble Detector for Logical Access and DeepFake Attacks -- Detecting Forgery in War Footage for Information Accuracy -- A Hyperledger-based Chaincode for Registration and Authorization in Secure Parking Systems -- An EEG-Based Brain-Computer Interface Approach for Enhanced Interaction with Digital Devices -- A Comparative study of performance in Spectrum Utilization during spectrum sensing between CR-VANET and CR-VANET-QL -- Part IV: Bigdata and Data mining -- Streamlining Banking Operations: A Computer Vision-based Queue Management System for Improved Customer Service -- Enhancing Educational Environments: Object Recognition and Relationship Inference through YOLO in Education 5.0 -- Unlocking Imagination: Story Generation from Autistic Childrens' artwork using a fusion of Computer Vision and NLP -- Image Recognition for Medicinal Plants using Deep Neural Networks -- Text-based Emotion Recognition with Hybrid Feature Selection and Ensemble Classification: A BERT and RoBERTa Approach -- Segmentation Techniques for Automatic Foreground and Background Area Separation in Multi-Temporal Sentinel-1A Imagery: A Comparative Study -- 64_Keyword Extraction in Learning Managemnt System (LMS) using Natural Language Processing (NLP) -- WoS Bibliometric and Content Analysis on Handwritten Hindi Characters Recognition -- Exploring Sleep Quality: Influential Factors and Implications.

This book constitutes proceedings of the International Conference on Health Informatics, Intelligent Systems, and Networking Technologies (HINT'24). This book includes contributions from experts, researchers, and practitioners from diverse fields to explore the intersection of health, technology, and networking. This conference aims to foster collaboration and knowledge exchange, pushing the boundaries of innovation to enhance healthcare systems globally. The book focuses on topics such as 6G & 5G in healthcare, Internet of Things (IoT) applications, and data communication standards shedding light on the transformative impact of networking technologies on healthcare infrastructure. This book is a beacon for progress, paving the way for a more interconnected, intelligent, and informed healthcare ecosystem.

ISBN: 9789819640089

Standard No.: 10.1007/978-981-96-4008-9doiSubjects--Topical Terms:

590642
Medical informatics
--Congresses.

LC Class. No.: R858.A2 / I58 2024

Dewey Class. No.: 610.285

Advances in Health Informatics, Intelligent Systems, and Networking Technologies = proceedings of HINT 2024 /
LDR:07047nmm a2200349 a 4500 001 2414732
003 DE-He213
005 20250926132033.0
006 m d
007 cr nn 008maaau
008 260205s2025 si s 0 eng d
020 $a 9789819640089 $q (electronic bk.)
020 $a 9789819640072 $q (paper)
024 7 $a 10.1007/978-981-96-4008-9 $2 doi
035 $a 978-981-96-4008-9
040 $a GP $c GP
041 0 $a eng
050 4 $a R858.A2 $b I58 2024
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 610.285 $2 23
090 $a R858.A2 $b I61 2024
111 2 $a International Conference on Health Informatics, Intelligent Systems, and Networking Technologies $d (2024 : $c Manipala, India) $3 3791546
245 1 0 $a Advances in Health Informatics, Intelligent Systems, and Networking Technologies $h [electronic resource] : $b proceedings of HINT 2024 / $c edited by Andrew Jeyabose, Valentina Emilia Balas, Steven L. Fernandes.
246 3 $a HINT 2024
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xiv, 683 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in networks and systems, $x 2367-3389 ; $v v. 1286
505 0 $a Part 1: Health Informatics -- Integrating Behavioral, Biometric, and Environmental Data for Health Insights -- Revolutionizing Antifungal Treatment: Machine Learning Insights into Candida Species Antimicrobial Resistance Patterns for Informed Clinical Decisions -- FutureGlycemics:A Comparative Study Of Diverse Machine Learning Models For Diabetes Prognosis -- Eating Disorder Detection and Classification using Machine Learning -- Decoding Diabetic Retinopathy: A Comprehensive Analysis through Diverse Deep Learning Algorithms -- Application of Deep Learning Techniques to Perform Multi-class Skin Disease Classification -- Eeg Based Emotion Recognition Using Genetic Algorithms Optimized Ensemble Model -- Deep Learning for classifying Mild Traumatic Brain Injury for the need of CT scans using EEG signals -- Efficient Deep Learning Models for Automated Diagnosis of Tuberculosis Using Chest X-ray -- Prediction of Chronic Disease using Deep Ensembled Machine Learning Approach -- Decoding Health Informatics Patents: Investigating Topic Models for Patent Information Retrieval -- Analysis of Foramen Magnum from Skull Images Using Image Processing Techniques -- Early Prediction of Thyroid Disease through the Integration of Machine Learning Algorithms and Particle Swarm Optimization-Based Feature Extraction: A Novel Approach for Improved Diagnosis -- Detection of Forgery in Medical Images using Deep Learning -- Improving Brain Tumor Segmentation from MR Images Through Integration of Preprocessing Techniques -- Sleep Disorders and Heart Disease: A Machine Learning Exploration -- Classification of Alzheimer's Disease From EEG Signals using Ensemble Learning and Deep Learning approaches -- Detection of Brain Tumor from MR Images Using Region Based Convolutional Neural Network (RCNN) -- Part II: Intelligent Systems -- Comprehensive Performance Analysis of PySpark and Pandas for Classification and Clustering Task -- Enhancing Women's Safety: An Implementation and Integration Framework for Real-Time Safety Systems -- A Comprehensive Study of Image Deduplication Techniques Addressing Challenges and Advancements in Storage Optimization -- Shadow Detection through YCbCr Color Space for Enhanced Scanned Document Quality -- Recommending Fashions using Computer Vision based Artificial Intelligent approaches - A comprehensive analysis -- Smart Farming Solutions: Advanced Techniques in Clas-sification of Weeds Using Image Processing and Machine Learning -- ResFruitGrader: Leveraging Residual Networks for Advanced Fruit Quality Grading Systems -- A/B Testing for Beginners: Reusable Controlled Experiments -- NeuroNet: Early detection of Alzheimer's Disease using Deep Learning -- From Dataset Creation to Recognition Precision: A Comprehensive Study on Machine Learning Algorithms for Tulu Script -- SmartEval: Advancing Automated Evaluation of Textual Answer Scripts with Transformer Models -- Leveraging Pretrained Super-Resolution Models for Deep Steganography in YUV Color Space -- Intelligent Attention-based transformer models for Text Extraction: A proof of concept -- Part III: Networking Technologies -- The Threat Triplet: RATs, Keyloggers And Registry Keys - A Proof of Concept Analysis -- Improving the Transmission Performance to Minimizing the Latency in Mobile Adhoc Network -- Enhancing Autonomous Navigation for Visually Impaired Individuals Using Real-Time Object Detection and Voice Feedback System -- Gaussian Differential Privacy Federated Learning to Identify Ocular Diseases -- Enhancing Virus Detection Through Advanced Aggregation of Low-Level Features in Medical Imagery -- Enhancing ASV Security: An Integrated Ensemble Detector for Logical Access and DeepFake Attacks -- Detecting Forgery in War Footage for Information Accuracy -- A Hyperledger-based Chaincode for Registration and Authorization in Secure Parking Systems -- An EEG-Based Brain-Computer Interface Approach for Enhanced Interaction with Digital Devices -- A Comparative study of performance in Spectrum Utilization during spectrum sensing between CR-VANET and CR-VANET-QL -- Part IV: Bigdata and Data mining -- Streamlining Banking Operations: A Computer Vision-based Queue Management System for Improved Customer Service -- Enhancing Educational Environments: Object Recognition and Relationship Inference through YOLO in Education 5.0 -- Unlocking Imagination: Story Generation from Autistic Childrens' artwork using a fusion of Computer Vision and NLP -- Image Recognition for Medicinal Plants using Deep Neural Networks -- Text-based Emotion Recognition with Hybrid Feature Selection and Ensemble Classification: A BERT and RoBERTa Approach -- Segmentation Techniques for Automatic Foreground and Background Area Separation in Multi-Temporal Sentinel-1A Imagery: A Comparative Study -- 64_Keyword Extraction in Learning Managemnt System (LMS) using Natural Language Processing (NLP) -- WoS Bibliometric and Content Analysis on Handwritten Hindi Characters Recognition -- Exploring Sleep Quality: Influential Factors and Implications.
520 $a This book constitutes proceedings of the International Conference on Health Informatics, Intelligent Systems, and Networking Technologies (HINT'24). This book includes contributions from experts, researchers, and practitioners from diverse fields to explore the intersection of health, technology, and networking. This conference aims to foster collaboration and knowledge exchange, pushing the boundaries of innovation to enhance healthcare systems globally. The book focuses on topics such as 6G & 5G in healthcare, Internet of Things (IoT) applications, and data communication standards shedding light on the transformative impact of networking technologies on healthcare infrastructure. This book is a beacon for progress, paving the way for a more interconnected, intelligent, and informed healthcare ecosystem.
650 0 $a Medical informatics $v Congresses. $3 590642
650 0 $a Artificial intelligence $x Medical applications $x Congresses. $3 660945
650 1 4 $a Communications Engineering, Networks. $3 891094
650 2 4 $a Computer Engineering and Networks. $3 3538504
700 1 $a Jeyabose, Andrew. $3 3791547
700 1 $a Balas, Valentina Emilia. $3 1002632
700 1 $a Fernandes, Steven L. $3 3486264
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in networks and systems ; $v v. 1286. $3 3791548
856 4 0 $u https://doi.org/10.1007/978-981-96-4008-9
950 $a Engineering (SpringerNature-11647)