An internet of health things-driven skin cancer classification using progressive cyclical convolutional neural network with ResNexT50 optimized by exponential particle swarm optimization

Biomedical Signal Processing and Control, Journal Year: 2024, Volume and Issue: 91, P. 105878 - 105878

Published: Jan. 11, 2024

Language: Английский

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Cyber-Physical Systems for Smart City Applications: A Comparative Study

Published: May 5, 2023

Integrating Cyber-Physical Systems (CPS) in smart cities can significantly improve citizens' quality of life and the overall functioning urban areas. This study aimed to examine use CPS for city applications explore these systems' potential benefits, challenges, limitations. The utilized a comprehensive way gather data insights on cities. major findings showed that has efficiency, citizen engagement, public safety, environmental management, decision-making However, also found some significant challenges limitations need be addressed, such as privacy security concerns, scalability, Integration with existing systems. this inform future policy related implementing They provide important researchers practitioners working fields.

Language: Английский

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Identifying digital biomarkers in actigraph based sequential motor activity data for assessment of depression: a model evaluating SVM in LSTM extracted feature space

International Journal of Information Technology, Journal Year: 2023, Volume and Issue: 15(2), P. 797 - 802

Published: Feb. 1, 2023

Language: Английский

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Tokens Shuffling Approach for Privacy, Security, and Reliability in IoHT under a Pandemic

Applied Sciences, Journal Year: 2022, Volume and Issue: 13(1), P. 114 - 114

Published: Dec. 22, 2022

Privacy and security are unavoidable challenges in the future of smart health services systems. Several approaches for preserving privacy have been provided Internet Health Things (IoHT) applications. However, with emergence COVID-19, healthcare centers needed to track, collect, share more critical data such as location those infected monitor social distancing. Unfortunately, traditional privacy-preserving failed deal effectively emergency circumstances. In proposed research, we introduce a Tokens Shuffling Approach (TSA) preserve collected data’s privacy, security, reliability during pandemic without need trust third party or service providers. TSA depends on smartphone application protocol collect reliably safely. algorithm swapping identities temporarily between cooperated users then hiding by employing fog nodes. The node manages cooperation process specific area improve system’s performance. Finally, uses blockchain save reliability, ensure integrity, facilitate access. results prove that performed better than regarding performance level. Further, noticed it adapted Moreover, did not affect accuracy its related statistics. On contrary, will quality primary services.

Language: Английский

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A Smart Way to Monitor Children Growth with the Help of ML

2022 9th International Conference on Computing for Sustainable Global Development (INDIACom), Journal Year: 2024, Volume and Issue: unknown, P. 146 - 151

Published: Feb. 28, 2024

Research and innovation in the health sector, to find new ways for treatment management of ailments, has always been an all-time high priority. Children's assumes a significantly higher With development technologies, interest children's is increasing globally enable creation generations capable building developing their societies. It very well known that some children experience delays physical or intellectual growth. Detecting addressing growth issues at earlier stage condition can be challenging, cases may pose tremendous problems as resulting treatments sometimes adversely impact child. Health professionals no longer rely on outdated diagnosis, such those based weight height, monitor progress health. The research introduces smart automated service machine learning techniques measure child's hand bones. includes algorithm processing analyzing X-ray images hand. proposed will assist automatically classifying children, alleviating workload orthopedic doctors medical centers. Real tests have conducted numerous demonstrate effectiveness algorithm.

Language: Английский

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Papers Mentioning Things Board: A Systematic Mapping Study

Journal of Computer Science, Journal Year: 2024, Volume and Issue: 20(5), P. 574 - 584

Published: April 26, 2024

In a previous article, we conducted Systematic Mapping Study (SMS) devoted to identifying the open-source IoT platform that nowadays offers most features as well adequate documentation and which, therefore, is useful middleware in development of applications. light final findings such study, ThingsBoard was selected. The present paper reports on subsequent mapping study. We queried Scopus database looking for articles mention either Title, Abstract, or among authors' Keywords. 55 items were retrieved carefully read. At end this stage, able answer following research questions: Are there available studies mentioning ThingsBoard? which ambits? What role where it mentioned? are gaps current implications future research? study goals general, so might be interest professionals, scholars. detail, SMS provides insights into breadth usage domains has been applied successfully, indicating its suitability potential wide range IoT-related projects. Moreover, few filled with further have emerged.

Language: Английский

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Advancing ADHD diagnosis: using machine learning for unveiling ADHD patterns through dimensionality reduction on IoMT actigraphy signals

International Journal of Information Technology, Journal Year: 2024, Volume and Issue: unknown

Published: May 7, 2024

Language: Английский

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Harnessing the Capabilities of IoHT-Based Remote Monitoring Systems for Decision Making in Elderly Healthcare

Studies in systems, decision and control, Journal Year: 2024, Volume and Issue: unknown, P. 147 - 184

Published: Jan. 1, 2024

Language: Английский

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Internet of Things (IoT) for Elderly's Healthcare and Wellbeing: Applications, Prospects and Challenges

2022 IEEE Symposium on Computers and Communications (ISCC), Journal Year: 2023, Volume and Issue: unknown, P. 1 - 8

Published: July 9, 2023

The Internet of Things (IoT) is an ever-evolving ecosystem that enables interactions between humans and interconnected objects, including healthcare domains. IoT addresses the lack access to medical resources, growing elderly population with chronic conditions, rising costs. This research analyzes 20 review articles on applications for well-being population. can significantly improve through remote monitoring, communication, automating tasks, various services information. However, several limitations challenges must be considered when employing elderly's healthcare.

Language: Английский

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Towards personalized control of things using Arabic voice commands for elderly and with disabilities people

International Journal of Information Technology, Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 15, 2023

Language: Английский

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