Showing 61 - 80 results of 265 for search '"environmental monitoring"', query time: 0.06s Refine Results
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    Design and Construction of an Anemometer. by Mukhangu, Paul

    Published 2024
    “…Anemometers play a crucial role in measuring wind speed and direction, essential for weather forecasting, environmental monitoring, and optimizing wind energy systems. …”
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    Thesis
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    Mesenchymal Stem Cells as Therapeutics Agents: Quality and Environmental Regulatory Aspects by Patricia Galvez-Martin, Roger Sabata, Josep Verges, José L. Zugaza, Adolfina Ruiz, Beatriz Clares

    Published 2016-01-01
    “…One of these important and complex requirements is the environmental monitoring. Although a number of environmental requirements are clearly defined, some others are provided as recommendations. …”
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    Article
  13. 73

    UAV-assisted federated learning with hybrid LoRa P2P/LoRaWAN for sustainable biosphere by Mehran Behjati, Haider A. H. Alobaidy, Rosdiadee Nordin, Nor Fadzilah Abdullah

    Published 2025-01-01
    “…To address these challenges, we propose the concept of a novel environmental monitoring system that integrates aerial access networks (AAN), federated learning (FL), and hybrid LoRa Point-to-Point (P2P)/LoRaWAN technologies. …”
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    Article
  14. 74

    A Biologically Inspired and Protein-Based Bio-Cyber Interface for the Internet of Bio-Nano Things by Pit Hofmann, Juan A. Cabrera, Gunnar Schulte, Frank H.P. Fitzek

    Published 2025-03-01
    “…Furthermore, we survey the existing literature of biologically inspired BCIs and outline potential use cases and benefits of integrating BCIs in the IoBNT for various domains, such as healthcare and environmental monitoring.…”
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    Article
  15. 75

    Large-Area Saline-Alkali-Tolerant Rice Growth Environment Monitoring System Based on LoRa+UAV by Chunmei Mo, Zaimi Xie, Ji Wang

    Published 2022-01-01
    “…A wireless sensor network (WSN) monitoring system for saline-alkali-tolerant rice based on long-range + unmanned aerial vehicle (LoRa + UAV) has been proposed in this paper to meet the requirements of difficult deployment, low scalability, and poor network reliability of traditional farmland environmental monitoring systems. The system automatically forms a double-layer star topology network through the terminal node and central node (intranet), central node, and UAV mobile node (extranet). …”
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    Article
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    Wireless Sensor Network Optimization for Constrained Environments With Limited a Priori Target Information by Joseph Mockler, Sarah Wielgosz, Huan Xu

    Published 2025-01-01
    “…This work may find application in wireless sensor network planning and design for defense, environmental monitoring, surveillance, or autonomous system applications.…”
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    Article
  17. 77

    Research on RTD Fluxgate Induction Signal Denoising Method Based on Particle Swarm Optimization Wavelet Neural Network by Xu Hu, Na Pang, Haibo Guo, Rui Wang, Fei Li, Guo Li

    Published 2025-01-01
    “…Aeromagnetic surveying technology detects minute variations in Earth’s magnetic field and is essential for geological studies, environmental monitoring, and resource exploration. Compared to conventional methods, residence time difference (RTD) fluxgate sensors deployed on unmanned aerial vehicles (UAVs) offer increased flexibility in complex terrains. …”
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    Article
  18. 78

    Hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks by Guo Li, Hongyu Sheng

    Published 2025-12-01
    “…The study highlights the practical applicability of these models in real-world scenarios, such as environmental monitoring and industrial automation, offering enhanced efficiency and economic benefits. …”
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    Article
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    A two-step machine learning approach for predictive maintenance and anomaly detection in environmental sensor systems by Saiprasad Potharaju, Ravi Kumar Tirandasu, Swapnali N. Tambe, Devyani Bhamare Jadhav, Dudla Anil Kumar, Shanmuk Srinivas Amiripalli

    Published 2025-06-01
    “…This methodology provides a scalable and robust real-time anomaly detection and sensor fault prediction methodology that greatly enhances the reliability of the environmental monitoring systems and advances the intelligent infrastructure management. • Combines Isolation Forest for anomaly labeling and supervised models for anomaly prediction. • Scalable and adaptable for diverse IoT applications for environmental monitoring. • Provides actionable insights through anomaly visualization, revealing patterns in sensor performance.…”
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    Article
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