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HealthCom 2023: Chongqing, China
- IEEE International Conference on E-health Networking, Application & Services, Healthcom 2023, Chongqing, China, December 15-17, 2023. IEEE 2023, ISBN 979-8-3503-0230-1
- Amel Khamoun, Riad Mohamed Ziani, Osman Salem, Ahmed Mehaoua:
Using Genetic Algorithms to Detect Intrusions for IoT Systems. 1-6 - Ahmad Chaddad:
Stability in Radiomics Analysis: Advancements and Challenges. 1-5 - Yan Hu, Ahmad Chaddad:
Potential of Federated Learning in Healthcare. 1-2 - James Pope
, Catherine Morgan, Alessandro Masullo
Real World Parkinson's Disease Tremor and Score Prediction using Wearable IMU Sensors. 1-6 - Lina Feriel Benassou, Safa Bendaouia, Osman Salem, Ahmed Mehaoua:
Detection of Cyberbullying in Online Comments Latest Advances and Challenges. 7-12 - Zhuoran Bi, Pushpendu Kar:
BUMS: A Novel Balanced Multi-Model Machine Learning System for Real-Time Blood Glucose Prediction and Abnormal Glucose Events Detection. 13-18 - Francisco Lepe-Salazar
Game-Based Prevention of Social Anxiety in Young People. 19-25 - Xizhe Wang, Zhang Zhang, Jing Guo, Peng Zhang, Qilei Chen, Yu Cao, Xinwen Fu, Benyuan Liu:
A Greedy Algorithm-Based Self-Training Pipeline for Expansion of Dental Caries Dataset. 26-32 - Cheng-Yu Cheng, Yongkang Liu, Matthew Johnson, Ryan Beams, Mohamad Omar Al Kalaa:
Assessing 5G Connectivity in Medical Extended Reality (MXR) Applications: A Testbed Approach. 33-38 - Chuyen Luong, Hoan Pham, Hung Nguyen, Amrish Nair:
Computing Electrode Contact Signal Quality for Non-Invasive Electrocardiography Signals in Fetal Heart Rate Monitoring. 39-42 - Rym Moussaoui, Osman Salem, Ahmed Mehaoua:
Analysis of Different Machine Learning Models for Diabetes Prediction. 43-48 - Yasmine Mustafa, Tie Luo:
Diagnosing Alzheimer's Disease using Early-Late Multimodal Data Fusion with Jacobian Maps. 49-55 - Indriyati Atmosukarto, Hong Sheng Wong, Bryan Se To:
Mobile Application for Tele-Rehabilitation: Enhancing User Experience in Managing Chronic Pain. 56-58 - ChanJuan Tu, Ying Zhang, Rui Xu:
A Visual Checklist Evaluation of Mobile Health Apps User Interface for Rural Users in China. 59-60 - Zheng Peng
Improving Video-Based Actigraphy for Sleep Monitoring of Preterm Infants. 61-65 - Huiqin Chen, Fangwan Huang, Xuanyun Liu, Yinli Tan, Dihua Zhang, Dongqi Li, Glen M. Borchert, Ming Tan
Evaluating the Use of Large Language Model to Identify Top Research Priorities in Hematology. 66-71 - Yongqi Zhu, Nan Liu, Qing Yang:
A New Approximation Algorithm for Genomic Scaffold Filling Based on Contig. 72-77 - Andrea Di Giglio, Marco Laurino, Giancarlo Sacco, Gianna Karanasiou, Sergio Berti, Elisa Maiettini, Mara Piccinino, Vera Stavroulaki, Simona Celi, Nicoló Boccardo
Large-scale trialing of the B5G technology for eHealth and Emergency domains. 78-83 - Mickael Mohammed, Osman Salem, Ahmed Mehaoua:
Graph Neural Networks for Anomaly Detection in Internet of Medical Things. 84-89 - Yang Tan, Zhihua Wang, Kun Qian, Zhihao Bao, Zheyu Cao, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller:
AMNet: Introducing an Adaptive Mel-Spectrogram End-to-End Neural Network for Heart Sound Classification. 90-94 - Puning Zhang, Tingting Wu, Jing Yang, Jing Wang, Zhen Zhang:
Lightweight Bidirectional Differential Privacy Protection Method for Privacy-Sensitive Data in Medical Internet of Things. 95-100 - Nina Hosseini-Kivanani, Christoph Schommer, Luis A. Leiva:
The Magic Number: Impact of Sample Size for Dementia Screening Using Transfer Learning and Data Augmentation of Clock Drawing Test Images. 101-106 - Mohamed Yanis Sadaoui, Osman Salem, Ahmed Mehaoua:
Security Assessment of Bluetooth Just Works Pairing Method: Vulnerabilities and Enhancements. 107-112 - Wentao Liu, Ye Liu, Qing Yang, Dong Li:
AntiNoise: A Collaborative Sensing Network for Simultaneous Noise Pollution Monitoring and E-Health Management. 113-118 - Yefei Zhang, Zhidong Zhao, Yanjun Deng, Pengfei Jiao:
On Multi-Modal Fusion Learning in Pathological Diagnosis of Fetal Distress. 119-124 - Yi Lv, Lichen Yan, Puning Zhang, Di Hu, Shuman Shao:
Personalized-Enhanced Federated Learning on Heterogeneous Internet of Medical Things. 125-130 - Desen Cao, Can Wang, Hao Sun, Chaolun Cao, Ming Kang, Hailin Zheng, Shaosong Zhou, Xingze Guan, Yuanyang Cao, Qing Tong:
Multiinstitutional Lung Image Classification Using Privacy-Preserving Horizontal Federated Learning with Homomorphic Encryption. 131-136 - Purab Nandi, K. R. Anupama:
Implementation of Stacking-Based Algorithms with Data Pruning on Qualcomm Snapdragon 820c. 137-143 - Zhang Zhang, Xizhe Wang, Shuijiao Chen, Xiaowei Liu, Qilei Chen, Yizhe Zhang, Yu Cao, Benyuan Liu:
MLMSA: Multi-Level and Multi-Scale Attention for Lesion Detection in Endoscopy. 144-150 - Hongbo Wu, Yukuan Jia, Sheng Zhou, Zhisheng Niu:
NI-MAC: MAC Protocol Design for Neural Interfaces. 151-157 - Osman Salem, Ahmed Mehaoua:
Heart Disease Detection using the Internet of Medical Things. 158-163 - Xizhe Wang, Zhang Zhang, Qilei Chen, Yani Yin, Guanghui Lian, Shuijiao Chen, Xiaowei Liu, Yu Cao, Benyuan Liu:
A CNN-Based Disease Detection Framework for Wireless Capsule Endoscopy Videos. 164-170 - Hong Zhang, Yuxin Liao, Lingtong Ma, Yi Lv, Jun Luo:
Online Resource Scheduling Mechanism for Quality of Service Assurance in Intelligent Medical. 171-176 - Hong Zhang, Mei Jiang, Lingtong Ma, Zejun Xiang, Sai Zhuo:
Computing Offloading Strategy for Internet of Medical Things in Space-Air-Ground Integrated Network. 177-182 - Siyuan Gao, Anze Cheng, Zhaoming Li, Liangyu Lv, Tianxin Zhang, Zhenglin Li, Yun Lin:
Research on Heart Rate and Respiration Rate Recognition Algorithm in Multi-Channel Data Acquisition Scenario. 183-187 - Liwei Chen, Fan Zhang, Sixing Yin, Liang Yin, Shufang Li:
A Multimodal Deep Learning Model for Preoperative Risk Prediction of Follicular Thyroid Carcinoma. 188-193 - Tracey Kah-Mein Lee, H. W. Chan, Kee Hao Leo, Effie Chew, Ling Zhao, Saeid Sanei:
Fidelitous Augmentation of Human Accelerometric Data for Deep Learning. 194-195 - Ahmad Chaddad:
A Comprehensive Analysis of Lung Sound Signals. 196-197 - Ahmad Chaddad, Yihang Wu
A Practical Simulation for Domain Adaptation Models. 203-204 - Ahmad Chaddad, Yihang Wu
Building a Better Metaverse: How Federated Learning is Revolutionizing Virtual Worlds. 205-209 - Ahmad Chaddad, Yuchen Jiang, Changhong He:
OpenAI ChatGPT: A Potential Medical Application. 210-215 - Matthew Sawchuk, Gideon Okoroafor, Arshia Khan:
Analysis of the Categorical Uncertainty Hypothesis and the Uncanny Valley Hypothesis Using the Furhat and EDA Sensor. 218-223 - Xinyi Yang, Juan Li:
Edge AI Empowered Personalized Privacy-Preserving Glucose Prediction with Federated Deep Learning. 224-230 - Boran Yang, Yong Wang, He Yan:
Edge Intelligence Computing Power Collaboration Framework for Connected Health. 231-237 - Yu-Shuo Wang, Hao-Yun Chen, Chih-Kuo Lee, Che-Rung Lee:
EFFCA: Enhanced Frangi Filter for Coronary Angiography Segmentation on Mobile Edge Devices. 238-243 - Yosra Bouchoucha, Dorsaf Omri, Taoufik Aguili:
High-Efficiency Rectenna Design for Batteryless Implantable Medical Devices Powered by RF Energy Harvesting in the ISM Band. 244-250 - Binbin Wen, Ahmad Chaddad:
The Use of Explainable Artificial Intelligence in Medicine. 251-252 - Ahmad Chaddad, Yue Wang, Junjie Feng:
Radiomics for a Comprehensive Assessment of Glioblastoma Multiforme. 253-258 - Mengting Wang, Yen Le, Chen-Hsiang Yu:
MedCare4Home: A Mobile Medical System for Families. 259-264 - Ta Li, Youliang Tian, Jinbo Xiong, Linjie Wang:
A Verifiable Privacy-Preserving Outsourced Prediction Scheme Based on Blockchain in Smart Healthcare. 265-270 - Xu Song, Jinghui Zhang, Xikang Jiang, Kun Wang, Lei Li, Lin Zhang:
HoloCV: A Head-Mounted Mixed Reality System for Contactless Vital Signs Monitoring in Medical Emergency Situations. 271-275 - Zekun Jiang
Pre-Trained Tabular Transformer for Real-Time, Efficient, Stable Radiomics Data Processing: A Comprehensive Study. 276-281 - Ruchun Jia
Research on Clustering Detection Method for Security Attack Behaviors Based on Air Traffic Control Network. 282-287 - Vaibhavi Lokegaonkar, Vijay Jaisankar, Pon Deepika, Madhav Rao, T. K. Srikanth, Sarbani Mallick, Manjit Sodhi:
Introducing SSBD+ Dataset with a Convolutional Pipeline for Detecting Self-Stimulatory Behaviours in Children Using Raw Videos. 288-293 - Maryam Kameli, Arshia Khan:
Unraveling Gender-Based Neural Variations in Task Performance: An EEG Study. 300-306 - Kimia Tuz Zaman, Wordh Ul Hasan, Juan Li:
Exploring the Dynamics of Online Social Support for ADRD Caregivers: A Study on Online Peer Support Groups. 307-313 - Yongshen Zeng, Chengyifeng Tan, Dongfang Yu, Xiaoyan Song, Liping Pan, Hongzhou Lu, Wenjin Wang:
Camera-based Monitoring of Heart Rate Variability for Preterm Infants in Neonatal Intensive Care Unit. 314-318 - Yuya Yuan, Dongmin Huang, Lirong Ren, Xiaoyan Song, Liping Pan, Hongzhou Lu, Wenjin Wang:
A Multi-center Clinical Trial for Camera-based Infant Sleep and Awake Detection in Neonatal Intensive Care Unit. 319-322 - Yingen Zhu, Jia Huang, Hongzhou Lu, Wenjin Wang:
Privacy Protected Contactless Cardio-respiratory Monitoring Using Defocused Cameras During Sleep. 323-327 - Guanghang Liao, Yukai Huang, Hongzhou Lu, Caifeng Shan, Wenjin Wang:
Wavelength-Dependency of PPG Morphological Features for Camera-Based Blood Pressure Estimation. 328-332 - Yuan Lin, Debasish Ghose, Jari Korhonen, Junyong You, Soumya P. Dash:
On the Explainable Detection of Stress Levels Using Heart Rate Variability Based Deep Neural Networks. 333-335 - Xiangqian Kong, Lanxiang Chen:
Enhanced Public-Key Searchable Encryption Scheme for Cloud-Based EHR Systems. 336-341 - Fatemeh Sarani Rad, Juan Li:
Optimizing Blood Glucose Control through Reward Shaping in Reinforcement Learning. 342-347
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