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digital camera nikon d750  (Nikon)


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    Nikon digital camera nikon d750
    Digital Camera Nikon D750, supplied by Nikon, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/nikon+d750/pm40579737-41-19-20
    Average 90 stars, based on 1 article reviews
    digital camera nikon d750 - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    other:

    Article Title: Robustness of digital camera identification with convolutional neural networks
    Article Snippet: This dataset includes the following models: Apple iPhone 8 (main and tele camera) (A1 and A2), Apple iPhone Xr (A3), Canon 1D X Mark II (C1), Canon 5D Mark IV (C2), Canon 90D (C3), Canon G9X Mark II (C4), Canon M6 Mark II (C5), Canon M10 (C6), Canon M100 (C7), Canon R (C8), Canon RP (C9), Huawei P9 Plus (H1), Huawei P20 Pro (H2), Huawei P20 Pro artificial intelligence-based camera (H3), Nikon D3X (N1), Nikon D5 (N2), Nikon D500 (N3), Nikon D610 (N4), Nikon D750 (N5), Nikon D810 (N6), Nikon D850 (N7), Nikon D7200 (N8), Nikon D7500 (N9), Nikon Z6 (N10), Nikon Z7 (N11), Panasonic Lumix GX800 (P1), Panasonic Lumix S1 (P2), Samsung S9 Plus (main – S1 and tele camera – S2), Samsung S10 Plus (main – S3, tele – S4 and ultrawide – S5 camera), Sony A7R III (S6), Sony A7S (S7), Sony A7S II (S8), Sony A9 (S9), Sony A6500 (S10), Sony RX100 II (S11), Sony Xperia 1 (main – S12 and ultrawide – S13 camera), Sony Xperia XZ1 (S14), Xiaomi Mi 9 (tele – X1, ultrawide – X2 and wide – X3) camera.

    Article Title: Interactive template for multimodal content generation
    Article Snippet: Under device, the options may include iPhone, iPad, Sony A1, Nikon D750, Galaxy tablet, etc.

    Article Title: Vision‐based seismic damage detection and residual capacity assessment for an RC shaking table test structure
    Article Snippet: Funding information National Natural Science Foundation of China, Grant/Award Number: 52078277; National Key R&D Program of China, Grant/Award Number: 2017YFC1500602 Abstract In this paper, the existing postearthquake performance assessment framework for reinforced concrete (RC) building structures is improved by adding a new feature of the computer vision-based damage detection.. In this framework, visible seismic damage is classified and quantified from photographs of damaged RC components using the developed deep convolutional network (CNN) Damage-Net of semantic segmentation, and then themechanical property degradation factors of components determined from the detected damage states are used to update the numerical model. Pushover analysis of the updated model assesses the residual capacity of the damaged structure.. Large-scale shaking table tests of a three-story RC building structure, which was heavily instrumented with sensors and recorded with a large volume of photographs, were used as a case study to demonstrate the improved postearthquake performance assessment framework.

    Article Title: Echocardiography does not prolong peri-shock pause in cardiopulmonary resuscitation using the COACH-RED protocol with non-expert sonographers in simulated cardiac arrest
    Article Snippet: Canon EOS 60D (© Canon, Tokyo, Japan) and Nikon D750 (© Nikon, Tokyo, Japan) cameras on tripods were used to video-record sessions from different angles, capturing all participants whilst a GoPro Hero3 (© GoPro Inc, San Mateo, USA) was placed nearer the manikin to record the PSP.

    Article Title: Blue–violet emitting K2CuCl3 compound: facile synthesis, photoluminescence and radioluminescence properties
    Article Snippet: Beijing Engineering Research Center of Mixed Reality and Advanced Displays, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, People’s Republic of China Beijing Key Laboratory of Photoelectronic/Electrophotonics, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, People’s Republic of China 3 Institute of Microstructure and Property of Advanced Materials, Beijing Key Lab of Microstructure and Property of Advanced Materials, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing 100124, People’s Republic of China

    Polymer:

    Article Title: Effect of preparation method on alginate wafer properties
    Article Snippet: .. This in turn inhibits uncontrolled polymer shrinkage, which occurs due to the evaporation of water within the polymer matrix.20 2.2.2 | Microscopic evaluation Images were taken on a Nikon D750 using a 20 mm f/2.8 prime lens at f/8 1/160 s iso100 in conjunction with a 12 mm + 20 mm extension tube. ..

    Evaporation:

    Article Title: Effect of preparation method on alginate wafer properties
    Article Snippet: .. This in turn inhibits uncontrolled polymer shrinkage, which occurs due to the evaporation of water within the polymer matrix.20 2.2.2 | Microscopic evaluation Images were taken on a Nikon D750 using a 20 mm f/2.8 prime lens at f/8 1/160 s iso100 in conjunction with a 12 mm + 20 mm extension tube. ..



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