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Showing 1 - 20 results of 199 for search '(( significant sensor based ) OR ( significant ((spatial decrease) OR (substantial decrease)) ))', query time: 0.13s Refine Results
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    A Carbazole-Based Aggregation-Induced Emission “Turn-On” Sensor for Mercury Ions in Aqueous Solution by Radha, Remya

    Published 2025
    “…The sensor, based on carbazole, forms aggregates in aqueous solutions, resulting in a significant 800% enhancement of its fluorescence signal. …”
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    Hedonic valuation of land protection methods: implications for cluster development. by Kling, Robert

    Published 2014
    “…The key findings of the study are: (i) proximity to national or state park land and to city or county open space has a significant positive impact on property values, while proximity to national forest land or to privately conserved land exhibits no significant effects; and, (ii) inclusion of a property within a cluster development decreases its value by 17 to 26 %. …”
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    CO, CO2, and SO2 detection based on functionalized graphene nanoribbons: First principles study by Ehab, Salih

    Published 2020
    “…In this study, density functional theory (DFT) has been used to build armchair graphene nanoribbon (AGNR) gas sensor and study its capacity to detect carbon monoxide (CO), carbon dioxide (CO2), and sulfur dioxide (SO2) gases. …”
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    Eco-friendly paper-based colorimetric sensor for portable and rapid detection of lead (II) ions in aqueous environment by N. M. Poovadichalil (22927906)

    Published 2025
    “…Finally, a paper-based chemo sensor was fabricated to demonstrate the sensor's real-time applicability, where visual color changes confirmed lead (II) detection in water. …”
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    Design and Development of Inexpensive Paper-Based Chemosensors for Detection of Divalent Copper by Mithra Geetha (14151807)

    Published 2023
    “…The easy preparation and high stability of dye solutions, easy functionalization of the paper-based sensors, high selectivity over other cations, low interference of counter anion, and significantly low detection limit of 2.23 ppm make it an effective Cu<sup>2+</sup> ion sensor for real-time application in near future.…”
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    Co-doped zigzag graphene nanoribbon based gas sensor for sensitive detection of H<sub>2</sub>S: DFT study by Ehab Salih (17075206)

    Published 2021
    “…<p dir="ltr">In this work, we present a highly sensitive gas sensor for the detection of poisonous hydrogen sulfide gas (H<sub>2</sub>S) based on copper and zinc co-doped zigzag graphene nanoribbon (Cu/Zn-ZGNR). …”
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    A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity by Wesam S. Ahmed (10170053)

    Published 2024
    “…Further, analysis of trajectories for <u>hydrogen bonds</u> (H-bonds) formed between NLuc and furimazine revealed substantial H-bond interaction between R162 and Q32 residues. …”
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    Comparative studies of neodymium (III)-selective PVC membrane sensors by Gupta, Vinod K.

    Published 2009
    “…Sensors based on two neutral ionophores, N,N�-bis((1H-pyrrol-2-yl)methylene)cyclohexane-1,2-diamine (L1) and 3,3�-(cyclohexane-1,2-diylbis(azan-1-yl-1-ylidene)bis(methan-1-yl-1-ylidene)bis(5-hydroxymethyl)pyridine-2-ol) (L2) are described for quantification of neodymium (III). …”
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    A full privacy-preserving distributed batch-based certificate-less aggregate signature authentication scheme for healthcare wearable wireless medical sensor networks (HWMSNs) by Osama Bassam J. Rabie (21323741)

    Published 2023
    “…</p><p dir="ltr">Correction: A full privacy-preserving distributed batch-based certificate-less aggregate signature authentication scheme for healthcare wearable wireless medical sensor networks (HWMSNs): <a href="https://dx.doi.org/10.1007/s10207-023-00798-5" target="_blank">https://dx.doi.org/10.1007/s10207-023-00798-5</a>, published online 10 January 2024.…”
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    Substrate Dependent Analysis of Printed Sensors for Detection of Volatile Organic Compounds by Saleem Khan (3556286)

    Published 2019
    “…The different surface morphology and texture of the substrates are explored and used for developing the VOC sensors. Silver (Ag) nanoparticles based ink is used for printing the interdigital electrodes and the interconnect lines, whereas carbon black paste is used as the sensing layer. …”
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    Integration of Smart Sensors in Buildings to achieve Energy Efficiency in Hot and Humid Climate by JABR, BILAL SUDQI SAEED

    Published 2021
    “…While applying different scenarios in the computer simulation of an office building in Abu Dhabi, the results showed that there is a potential of reducing the power consumption from the lighting system by 16% when replacing the fluorescent lights with LED, and 75% reduction in power consumption when using dimming system that is linked to the occupancy sensors, and 7% reduction when controlling the lights in the building via dimming system based on the external day lighting. …”
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    Deep learning based multimodal urban air quality prediction and traffic analytics by Saad Hameed (6488738)

    Published 2023
    “…The proposed system tackles the challenge of predicting air quality at locations having no sensors or experiencing sensor failures by training a joint model on the data obtained from nearby stations/sensors using a Particle Swarm Optimization (PSO)-based merit fusion of the sensor data. …”
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    A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks by Umesh Kumar Lilhore (17727684)

    Published 2022
    “…Due to the constraints on energy storage of underwater wireless sensor network end devices and the complexity of repairing or recharging the device underwater, this is highly significant to strengthen the energy performance of underwater wireless sensor network. …”
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    CO, CO<sub>2</sub>, and SO<sub>2</sub> detection based on functionalized graphene nanoribbons: First principles study by Ehab Salih (17075206)

    Published 2020
    “…<p dir="ltr">In this study, density functional theory (DFT) has been used to build armchair graphene nanoribbon (AGNR) gas sensor and study its capacity to detect carbon monoxide (CO), carbon dioxide (CO<sub>2</sub>), and sulfur dioxide (SO<sub>2</sub>) gases. …”
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