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  1. 101

    A new method for calculating highway blocking due to high-impact weather conditions by D. Liu, T. Jing, T. Jing, T. Jing, M. Yan, I. Gultepe, Y. Bao, Y. Bao, Y. Bao, H. Wang, F. Zu

    Published 2025-02-01
    “…<p>Fog, rain, snow, and ice are the high-impact weather events that often lead to highway blockings, which in turn causes serious economic and human losses. …”
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    Article
  2. 102

    Analysis of Key Technologies and Applications of Meteorological Service for Offshore Wind Power by Boni WANG, Feng WANG, Hangcheng GE, Fang HUANG, Xiaozhuo SANG, Min ZHANG

    Published 2025-01-01
    “…Meteorological services effectively address forecasting and warning challenges related to high waves, storm surges, severe convection and sea fog that impact wind farm safety, ensuring the secure and efficient operation of offshore wind energy projects. …”
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  3. 103

    Effect of Environmental Parameters on the Performance of Optical Wireless Communications by Hosam Abd Elrazek Mohamed Ali, El-Sayed Soliman A. Said, Mohamed Ebrahim Yousef

    Published 2019-01-01
    “…This paper studies the effect of environmental parameters like rain, fog, haze, snow, and dust on the performance of optical wireless communications using Opti-system program. …”
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    Article
  4. 104

    The Many Difficulties and Subtleties in the Cognitive Assessment of Chronic Hepatitis C Infection by Jefferson Abrantes, Daniel Simplicio Torres, Carlos Eduardo Brandão – Mello

    Published 2020-01-01
    “…Often, patients with hepatitis C virus (HCV) complain of cognitive impairment even before the development of hepatic cirrhosis, which they described as “brain fog.” Several studies have proposed a link between chronic HCV infection and the development of cognitive alterations, but the inclusion of confounding factors in their samples significantly limits the analysis of the results. …”
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    Article
  5. 105

    Ship infrared image edge detection based on an improved adaptive Canny algorithm by Lisang Liu, Fenqiang Liang, Jishi Zheng, Dongwei He, Jing Huang

    Published 2018-03-01
    “…Influenced by light reflection and water fog interference, ship infrared images are mostly blurred and have low signal-to-noise ratio. …”
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    Article
  6. 106

    The prolonged health sequelae “of the COVID-19 pandemic” in sub-Saharan Africa: a systematic review and meta-analysis by Melsew Setegn Alie, Getayeneh Antehunegn Tesema, Getayeneh Antehunegn Tesema, Gossa Fetene Abebe, Desalegn Girma

    Published 2025-01-01
    “…These effects can include brain fog, pulmonary symptoms, sleep disturbances, anxiety, fatigue, and other neurological, psychiatric, respiratory, cardiovascular, and general symptoms. …”
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    Article
  7. 107

    Case report: Development of anxiety symptoms after receiving the Pfizer-BioNTech (BNT162b2) COVID-19 vaccine: a case series by Maris Taube, Maris Taube, Alise Alma Lesiņa

    Published 2025-01-01
    “…The clinical manifestations of long COVID include depression, anxiety, brain fog with cognitive dysfunction, memory issues, and fatigue. …”
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    Article
  8. 108

    An Efficient Image Denoising Method for Wireless Multimedia Sensor Networks Based on DT-CWT by Rachid Sammouda, Abdul Malik S. Al-Salman, Abdu Gumaei, Nejmeddine Tagoug

    Published 2015-11-01
    “…In this context, many types of noises occur due to sensors problems, change of illumination, fog, rain, and other weather conditions. These noises usually degrade the digital images acquired by camera sensors. …”
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    Article
  9. 109

    Unveiling hydrosocial dynamics: discourse and power in Peña Blanca by Viola Di Tullio, Lorenzo Zannini

    Published 2025-01-01
    “…In particular, in Peña Blanca, an agricultural community in northern Chile, these dimensions intertwine and shed light on the territory’s hydrosocial components. Water and fog tell histories of social dynamics, conflicts, cooperation, and climate change. …”
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    Article
  10. 110

    Forest Fire Smoke Video Detection Using Spatiotemporal and Dynamic Texture Features by Yaqin Zhao, Zhong Zhou, Mingming Xu

    Published 2015-01-01
    “…The performance of smoke video detection algorithm is often influenced by some smoke-like objects such as heavy fog. This paper presents a novel forest fire smoke video detection based on spatiotemporal features and dynamic texture features. …”
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    Article
  11. 111

    A Multiagent Potential Field-Based Bot for Real-Time Strategy Games by Johan Hagelbäck, Stefan J. Johansson

    Published 2009-01-01
    “…Furthermore, we show that our approach deals with Fog of War (imperfect information about the opponent units) surprisingly well. …”
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    Article
  12. 112

    Progress in mid-infrared optoelectronics for high-speed free-space data throughput by Frédéric Grillot, Thomas Poletti, Salvatore Pes

    Published 2025-01-01
    “…MWIR and LWIR are superior for transmission through fog, clouds, and dust, with LWIR offering stealth advantages thanks to natural thermal radiation. …”
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    Article
  13. 113

    Advancements in training and deployment strategies for AI-based intrusion detection systems in IoT: a systematic literature review by S. Kumar Reddy Mallidi, Rajeswara Rao Ramisetty

    Published 2025-01-01
    “…Significant emphasis is placed on analyzing different IDS training paradigms-centralized, distributed, and federated learning-and deployment strategies, including in cloud, fog, and edge layers. Their effectiveness within IoT contexts is evaluated comprehensively. …”
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  14. 114

    Estimating the visibility in foggy weather based on meteorological and video data: A Recurrent Neural Network approach by Jian Chen, Ming Yan, Muhammad Rabea Hanzla Qureshi, Keke Geng

    Published 2023-01-01
    “…Besides, with aids of correlation analysis, the influence of the meteorological factors on the predicted visibility was analysed, for fog at night, temperature is the dominant factor affecting visibility.…”
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  15. 115

    Imperative Role of Technology Intervention and Implementation for Automation in the Construction Industry by Amit Srivastava, Sajjaf Jawaid, Rajesh Singh, Anita Gehlot, Shaik Vaseem Akram, Neeraj Priyadarshi, Baseem Khan

    Published 2022-01-01
    “…The large amount of data generated from the IoT, RFID, BIM, and AR/VR provided an opportunity for big data and artificial intelligence (AI) to extract meaningful insights related to the events in the construction industry. Furthermore, edge and fog computing technology encourages us to implement AI at the edge network for analytics at the end of the edge device. …”
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  16. 116

    Traffic Model and On-Ramp Metering Strategy under Foggy Weather Conditions Using T-S Fuzzy Systems by Changle Sun, Hongyan Gao

    Published 2019-01-01
    “…Simulations using VISSIM and MATLAB show that the proposed traffic model is suitable under foggy weather conditions and that the proposed local ramp metering strategy achieves a better performance in reducing fog-related crashes.…”
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  17. 117

    Szurkolói rendbontások a stadionokban, különös tekintettel a pirotechnikai eszközök alkalmazására by Nikolett Ágnes Tóth, Lajos Móró

    Published 2025-01-01
    “…Az összegzés olyan aktuális intézkedést jelenít meg, amely nagy hatást fog gyakorolni a biztonsági kérdésekre. …”
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  18. 118

    Evaluating the readability, quality, and reliability of online information on sjogren's syndrome by Erkan Ozduran, Volkan Hanci

    Published 2023-01-01
    “…The Flesch Reading Ease Score (FRES), Flesch-Kincaid Grade Level, and Gunning Fog (GFOG) were used to evaluate the readability of the website. …”
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  19. 119

    Relieve apalachense en los Montes de Toledo (diciembre de 2017) by Jesús Santos

    Published 2020-06-01
    “…The picture is taken at dawn in a winter day, the sun is fairly low and you can see some of the parallel mountain ranges, with altitudes in between 900 and 1000 m, separated by valleys where the evening fog accumulates. …”
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  20. 120

    The Expression of MMP-2 Following Immobilization and High-Intensity Running in Plantaris Muscle Fiber in Rats by Eli Carmeli, Tal Gal Haimovitch

    Published 2006-01-01
    “…Running and immobilization decreased the percentages of transverse sectional area of fast-twitch glycolytic (FG) type IIb fibers, running increased relative cross-sectional area of fast-twitch oxidative glycolytic (FOG) type IIa muscle fibers, whereas immobilization increased relative cross-sectional area of slow-twitch oxidative (SO) muscle fibers (type I). …”
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