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Federated learning for sustainable IoT appliance load monitoring at the edge devices
Published 2025-07-01Get full text
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Urban Air Mobility Communications and Networking: Recent Advances, Techniques, and Challenges
Published 2024-11-01“…Therefore, researchers and scientists from the aviation and automotive industries have collaborated to create an innovative air transport system that solves traditional transport problems. …”
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Social Work in Cybersecurity
Published 2024-12-01“…This value rests on social work’s foundations and fields of practice, particularly the person-in-environment and human behavior in a social environment (HBSE) models, social work policy practice, forensic and clinical social work, and community development. Collaborations between social work and information/computing sciences based on these foundations/fields of social work represent an important pathway toward more productive, sustainable, impactful, and socially just cyber-security programs in the modern society.…”
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Editors' Note
Published 2015-11-01“…</p><p>Finally, the third article co-authored by Watzlaf (health information management, with degrees in public health and epidemiology), DeAlmeida (health information systems, with a degree in cell and molecular biology), Zhou (with degrees in computer science and physics, and expertise in mathematical modeling on health related topics, information integration, and comparative genomics), and Hartman (a reference librarian with a degree in chemistry, who collaborates with faculty in the health sciences and serves as a liaison to a school of health and rehabilitation sciences) describes a protocol to conduct systematic reviews of research in telerehabilitation, with the aim that IJT readers can ultimately apply this protocol to identify best practices in telerehabilitation.…”
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Development of a medicinal chemistry e-module using a team-based learning strategyDevelopment of a medicinal chemistry e-module using a team-based learning strategy
Published 2025-05-01“…Both the structured e-modules and collaborative learning worked in unison to transform what is traditionally perceived as a hard-to-teach subject into an interactive and enjoyable experience. …”
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Concurrency Conflict Modeling for Asynchronous Processing in Blockchain-Based Transactive Energy Systems
Published 2024-12-01“…The model enables collaborative block building by integrating multiple blockchain views, eliminating competition, leader selection, and transaction reversals or discards. …”
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Artificial Intelligence in Ophthalmology: Advantages and Limits
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A Review of Research on Fruit and Vegetable Picking Robots Based on Deep Learning
Published 2025-06-01“…It focuses on the optimization strategies and common problems related to deep learning and explores the challenges and development trends of deep learning in improving the perception accuracy, multi-sensor collaboration, multimodal data fusion, adaptive control, and human–computer interaction of fruit and vegetable picking robots in the future. …”
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BENEFITS AND LIMITATIONS OF USING SURGICAL GUIDES IN IMPLANTOLOGY
Published 2025-03-01“…Performed using advanced digital technologies, such as computed tomography (CBCT) and computer-aided design (CAD/CAM), they allow for accurate placement of implants, reducing the risks of deviation and complications. …”
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Comparison of Multi-Agent Platform Usability for Industrial-Grade Applications
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K-Means++ Clustering-Based Approach for SDN Controller Placement in LEO Satellite Networks
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Towards Secure and Efficient Farming Using Self-Regulating Heterogeneous Federated Learning in Dynamic Network Conditions
Published 2025-04-01“…By adopting a decentralized approach, we ensure that sensitive data remain localized, thereby enhancing security while facilitating effective collaboration among devices. The architecture promotes the formation of adaptive clusters based on operational capabilities and geographical proximity, optimizing communication between edge devices and a global server. …”
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Advanced Deep Learning Algorithms for Energy Optimization of Smart Cities
Published 2025-01-01“…Federated learning ensures privacy-preserving data sharing in distributed energy systems, promoting collaboration without compromising security. These technologies are driving the transformation towards sustainable and energy-efficient urban environments, meeting the growing demands of modern smart cities. …”
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Privacy and Security Challenges in Federated Learning for UAV Systems: A Systematic Review
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Recovery Strategy of Distribution Network Based on Power Supply Capability Assessment of Local Area Configured with Energy Gateway
Published 2025-04-01“…To address the issue, a hierarchical control architecture is proposed that involves collaboration between the DC and LA energy gateways. …”
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