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matlab-based ann computer vision model  (MathWorks Inc)


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    MathWorks Inc matlab-based ann computer vision model
    Matlab Based Ann Computer Vision Model, supplied by MathWorks Inc, 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/matlab-based+computer+models/pmc09357757-183-14-14
    Average 90 stars, based on 1 article reviews
    matlab-based ann computer vision model - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Evaluation of landslide susceptibility of mountain highway based on RF and SVM models.
    Article Snippet: After inputting all kinds of boundary range parameters into the Matlab cross-validation model, when the parameters c and g are 0.93303 and 1, respectively, the cross-validation accuracy reaches the maximum, and the optimal accuracy is 76.5957%.

    Article Title: Integrating high dimensional quadratic regression with penalties based predictive modeling for hydro power plants accurate tariff prediction.
    Article Snippet: Before processing further, a MATLAB model has been developed based on the data set collected through open-source system.

    Article Title: Humans self-organise balance control strategies on a dynamic platform.
    Article Snippet: A MATLAB model was developed to visually present the simulation results, as shown in Fig. 8.

    Article Title: Optimum sizing and configuration of electrical system for telecommunication base stations with grid power, Li-ion battery bank, diesel generator and solar PV
    Article Snippet: The rising demand for cost effective, sustainable and reliable energy solutions for telecommunication base stations indicates the importance of integration and exploring the feasibility of hybrid energy systems.. This study develops a mathematical model and investigates an optimization approach for optimal sizing and deployment of solar photovoltaic (PV), battery bank storage and a diesel generator for grid connected telecommunication base station.. The proposed optimum hybrid electrical system is designed to minimize total capital and operational costs while achieving 100% power availability for telecommunication equipment under varying grid power availabilities.

    Article Title: Enhanced gyrocompass performance with optimized static scheme in the presence of platform vibrations.
    Article Snippet: • Angle Random Walk (ARW) = 8.00 × 10−04◦/ √ h • Bias Instability (BI) = 8.00 × 10−03◦/h • Rate Random Walk (RRW) = 2.90 × 10−02◦/h/ √ h Our proposed MATLAB-based FOG data generation model is validated by comparing it with the models of Jerath et al.29 and Nunes et al.30.

    Article Title: Researching the impact of DC offset on communication and identifying optimal solutions
    Article Snippet: With the continuous advancement of communication methods, enhancing the quality of communication has become a crucial concern.. Through the examination of this matter, it has been discovered that the increase in Bit Error Rate (BER) directly affects the overall quality of communication.. This paper utilizes MATLAB to perform mathematical simulations, focusing on two main areas of study.

    Article Title: Adaptive reinforcement learning is causally supported by anterior cingulate cortex and striatum.
    Article Snippet: Article Adaptive reinforcement learning is causally supported by anterior cingulate cortex and striatum Graphical abstract Highlights • Gaze-contingent stimulation changes learning of feature values at high uncertainty • ACC simulation impairs weighting of error histories and optimizing exploration • Striatum simulation improves use of prediction errors to update value expectations • Stimulation induces uncertainty in ACC but in striatum augments outcome certainty Authors Robert Louis Treuting, Kianoush Banaie Boroujeni, Charles Grimes Gerrity, Adam Neumann, Paul Tiesinga, Thilo Womelsdorf Correspondence thilo.womelsdorf@vanderbilt.edu In brief Treuting et al. show that microstimulation in ACC and striatum causally affects the learning and updating of feature-based attention.. ACC stimulation impairs exploring relevant objects, which is linked to increased uncertainty about previous outcomes.. Striatum stimulation improves exploring relevant objects, which is linked to a more efficient updating of relevant feature values.

    Construct:

    Article Title: Synergy and antagonism in the integration of BCR and CD40 signals that control B-cell population expansion.
    Article Snippet: All simulations were carried out on an Ubuntu server with 64 threads, 2.1 to 3.7 GHz speed, and 384 GB RAM. .. Multiscale modeling coupling signaling network and B cell proliferation The receptor-extended TD model constructed above was combined with a published MATLAB model of B cell proliferation to create a multiscale model capable of simulating the division and death of a population of individual B-cells upon TD stimulation. ..



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