machine learning toolbox (MathWorks Inc)
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MathWorks Inc
machine learning toolbox
Machine Learning Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 2336 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab/Statistics+and+Machine+Learning+Toolbox/pmc13652351-150-16-13
Average 96 stars, based on 2336 article reviews
Machine Learning Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 2336 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab/Statistics+and+Machine+Learning+Toolbox/pmc13652351-150-16-13
Average 96 stars, based on 2336 article reviews
machine learning toolbox - by Bioz Stars,
2026-10
96/100 stars
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Fluorescence:Article Title: Multimodal Mapping of Cranial Sutures Guides Application of an MMP13-Inhibiting Hydrogel Patch to Restore Asymmetric Mineralization and Prevent Craniosynostosis. Article Snippet: .. Highresolution fluorescence images for Ca, P, O, Si, N, and C were acquired, followed by intensity quantification and Imaging:Article Title: Hepatic HIF2α Modulates Extra‐Hepatic Disease‐Associated Phenotypes During Metabolic Dysfunction‐Associated Steatotic Liver Disease Article Snippet: Images were captured at ×20 magnification with a VS200 Research Slide Scanner (Olympus) using Slideview 5.0, imported to QuPath v0.5.1 and converted into RGB files. .. ImageJ (v.1.45 g) was used to perform background correction before importing the Software:Article Title: Imitation learning-embedded deep reinforcement learning controller designed for MRI-guided transurethral ultrasound ablation: Simulation and phantom validation. Article Snippet: MRI-guided ultrasound ablation has emerged as a promising precision therapy for prostate disease, using realtime temperature feedback to control thermal delivery.. In this simulation-based study, we develop a controller for such systems, emulating the temperature feedback with a bioheat model.. Existing control algorithms struggle to maintain ablation accuracy under dynamic tumor-boundary shifts and heterogeneous thermal diffusion. Magnetic Resonance Imaging:Article Title: Preoperative Prediction of Ductal Carcinoma In Situ Upstaging Using Machine Learning-Based Peritumoral Breast MRI Radiomics. Article Snippet: Background: A subset of biopsyconfirmed ductal carcinoma in situ (DCIS) cases can be upstaged to invasive breast cancer at surgery.. Preoperative identification of upstaging risk is essential for treatment planning.. Purpose: To develop clinical and breast MRI radiomics models to preoperatively predict upstaging in DCIS. Sequencing:Article Title: Preoperative Prediction of Ductal Carcinoma In Situ Upstaging Using Machine Learning-Based Peritumoral Breast MRI Radiomics. Article Snippet: Background: A subset of biopsyconfirmed ductal carcinoma in situ (DCIS) cases can be upstaged to invasive breast cancer at surgery.. Preoperative identification of upstaging risk is essential for treatment planning.. Purpose: To develop clinical and breast MRI radiomics models to preoperatively predict upstaging in DCIS. Concentration Assay:Article Title: Physics-Constrained Transfer-Matrix Optimization of Diffused Regions in Bifacial p + - n - n + Crystalline-Silicon Solar Cells. Article Snippet: .. Item Symbol or Method Value Front surface concentration NA,s 1017–5 × 1020 cm−3 Base concentration ND,B 1014–1017 cm−3 Rear surface concentration NrearD,s 10 18–5 × 1020 cm−3 Prescribed wafer thicknesses d0 160, 180, and 200 μm Emitter-depth bounds WE 0.05–4.0 μm Rear-field-depth bounds WBSF 0.02–3.0 μm Minimum base thickness WB 5.0 μm Global algorithm MATLAB ga Genetic algorithm Population size — 80 Maximum generations — 100 Maximum stall generations — 30 Function tolerance — 10−6 Initial GA design θref Calibrated reference included Western Blot:Article Title: Physics-Constrained Transfer-Matrix Optimization of Diffused Regions in Bifacial p + - n - n + Crystalline-Silicon Solar Cells. Article Snippet: .. Item Symbol or Method Value Front surface concentration NA,s 1017–5 × 1020 cm−3 Base concentration ND,B 1014–1017 cm−3 Rear surface concentration NrearD,s 10 18–5 × 1020 cm−3 Prescribed wafer thicknesses d0 160, 180, and 200 μm Emitter-depth bounds WE 0.05–4.0 μm Rear-field-depth bounds WBSF 0.02–3.0 μm Minimum base thickness WB 5.0 μm Global algorithm MATLAB ga Genetic algorithm Population size — 80 Maximum generations — 100 Maximum stall generations — 30 Function tolerance — 10−6 Initial GA design θref Calibrated reference included Electroencephalography:Article Title: Patterns of Alpha-band Power Reflect Prioritization of the Most Recently Encoded Location in a Working Memory Sequence Article Snippet: .. Next, we applied a Hilbert transform ( |