Published: July 10, 2024
Language: Английский
Journal of Electronics Electromedical Engineering and Medical Informatics, Journal Year: 2025, Volume and Issue: 7(1), P. 187 - 196
Published: Jan. 9, 2025
Healthcare data management has become a critical research area, primarily driven by the widespread adoption of personal health monitoring systems and applications. These generate an immense volume data, necessitating efficient reliable solutions for lossless sharing. This article introduces Collaborative Data Management Framework (CDMF) that leverages combined strengths parallel computing federated learning. The proposed CDMF is designed to achieve two primary objectives: reducing computational complexity in handling ensuring high sharing accuracy, regardless generation rate. framework employs streamline scheduling processing acquired at various intervals. approach minimizes delays operating on less complex algorithm, making it suitable high-frequency generation. Federated learning, other hand, plays pivotal role verifying distribution maintaining accuracy. By enabling decentralized learning ensures remains local devices while only necessary model updates. enhances privacy security, consideration healthcare management. It are verified based appropriate requests avoiding latency issues. decentralizing process, as raw does not leave systems. cooperative interaction between operates cyclic manner, allowing adapt dynamically increasing intervals varying rates. performance validated through improvements key metrics. First, achieves 15.08% enhancement which vital integrity reliability during transfers. Second, reduces computation 9.48%, even when maximum results highlight framework’s potential revolutionize addressing dual challenges scalability
Language: Английский
Citations
0
Applied Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 912 - 912
Published: Jan. 17, 2025
Mental health disorders constitute a significant global challenge, compounded by the limitations of traditional management approaches that rely heavily on subjective self-reports and infrequent professional evaluations. This study presents groundbreaking IoT-based system integrates big data analytics, fuzzy logic, machine learning to revolutionise mental monitoring. In contrast existing solutions, proposed uniquely incorporates environmental factors, such as temperature humidity in enclosed spaces—critical yet often overlooked contributors emotional well-being. By leveraging IoT devices collect process large-scale ambient data, provides real-time classification personalised visualisation tailored individual sensitivity profiles. Preliminary results reveal high accuracy, scalability, potential generate actionable insights, creating dynamic feedback loops for continuous improvement. innovative approach bridges gap between conditions healthcare, promoting transformative shift from reactive proactive care laying groundwork predictive systems.
Language: Английский
Citations
0
Sensors, Journal Year: 2025, Volume and Issue: 25(7), P. 2292 - 2292
Published: April 4, 2025
The Monit4Healthy system is an IoT-enabled health monitoring solution designed to address critical challenges in real-time biomedical signal processing, energy efficiency, and data transmission. system's modular design merges wireless communication components alongside a number of physiological sensors, including galvanic skin response, electromyography, photoplethysmography, EKG, allow for the remote gathering evaluation information. In order decrease network load enable quick identification abnormalities, edge computing used filtering feature extraction. Flexible transmission based on context available bandwidth provided through hybrid approach that includes Bluetooth Low Energy Wi-Fi. Under typical scenarios, laboratory testing shows reliable connectivity ongoing battery-powered operation. appropriate scalable deployment connected ecosystems portable due its responsive power management approaches structured transmission, which improve resiliency system. ensures reliability signals whilst lowering latency volume comparison conventional cloud-only systems. Limitations include requirement profiling, distinctive hardware miniaturizing, sustained real-world validation. By integrating context-aware flexible design, effective communication, complements existing IoT solutions promotes better integration clinical smart city healthcare environments.
Language: Английский
Citations
0
Studies in big data, Journal Year: 2025, Volume and Issue: unknown, P. 135 - 160
Published: Jan. 1, 2025
Language: Английский
Citations
0
VFAST Transactions on Software Engineering, Journal Year: 2024, Volume and Issue: 12(3), P. 217 - 229
Published: Sept. 30, 2024
The distribution companies that deal with ventilators in Pakistan face challenges related to inventory control because of inadequate product shelf life, shortages, excess inventory, and unnecessary stock. This study, which focuses on Pakistani ventilator companies, aims offer a novel approach sales estimation, avoid stock expenditures, stop clientele loss brought by shortages. results this study will help determine key elements standards distributors might employ boost sales. Most businesses are independent wholesalers purchase from their stores distribute it customers. To maximize firms' for various products, examined data 2019 2024 many locations dates. create an accurate forecasting model company, research also apply artificial neural networks (ANN) effective prediction. An Artificial Neural Network was trained using dataset the proposed produced accuracy 90%, is good early
Language: Английский
Citations
3
VFAST Transactions on Software Engineering, Journal Year: 2024, Volume and Issue: 12(4), P. 167 - 179
Published: Dec. 31, 2024
A vast range of computing services are accessible over the Internet utilizing cloud network. In recent years storage sector and several others have integrated encouraged scholars to explore emerging technology. Because its infrastructure capabilities, device, data, resources transferred Cloud Storage System. No expensive network is required for consumers their service costs reduced a minimum. Regardless advantages, transition local into remote has provided customers vendors with protection issues threats. The reliable third party provides platforms that present new security risks. provider offers uses numerous web technologies create challenges. This paper discusses fundamental features, safety issues, threats, solutions information. also many open-ended research issues. Over past five years, substantial technological innovations emerged, which can add extra comfort daily lives at corporate private levels. Both personal shared divisions significantly progressed in advancement technologies. It was evident recently companies organizations rest burdens onto cloud. However, problem significant debate regarding centralized IT control, web-based susceptible different forms attacks. While measures place throughout entire era, continues be challenge. Here we performed report on distributed computation investigated various kinds attacks dangers this modern invention, including latest concept, combined current structures.
Language: Английский
Citations
0
Published: July 10, 2024
Language: Английский
Citations
0