285건 · 관련도순
Display 3-D image volumes, medical image volumes, surface meshes, and annotations for 3-D image processing. Use when displaying 3-D images or isosurfaces with volshow, creating volume viewers with viewer3d, adding Regions of Interest (ROI) or annotations, overlaying masks or segmentations, streaming volumetric data, or building apps with volume display.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build RoadRunner HD Map entities in MATLAB — lanes, boundaries, markings, junctions, signs, signals, barriers, parking. Use when creating driving scenes from scratch, authoring road networks for simulation and testing automated driving systems, or assembling RRHD maps from Lanelet2 or other HD map sources.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
RoadRunner asset path lookup tables for map format conversions in MATLAB. Maps lane markings, signs, signals, barriers, objects, and lane types to RoadRunner asset paths. Use when converting map formats to RRHD, resolving asset paths, or assigning visual assets to HD Map objects.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Help users formulate and solve portfolio optimization problems using Financial Toolbox's Portfolio object. Covers mean-variance (Markowitz), maximum Sharpe ratio (tangency), and efficient frontier workflows. Use when users ask about portfolio optimization, Markowitz, efficient frontier, Sharpe ratio, or attempt to use generic solvers (quadprog, fmincon, ga, problem-based optimize) for portfolio problems.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Perform aerospace unit conversions, time conversions, coordinate frame transformations, and rotation representations using Aerospace Toolbox. Use when converting units (length, velocity, angle, acceleration, angular velocity, force, mass, pressure, temperature, density), computing Julian dates or decimal years, transforming between coordinate frames (ECEF, ECI, LLA, flat Earth, geodetic/geocentric, NED, body, wind, stability), or working with rotation representations (Euler angles, DCM, quaternion, Rodrigues vector). Also use when the user asks about aerospace coordinate systems, reference frames, or rotation conventions.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create, modify, or delete experiments in Experiment Manager with live UI sync. TRIGGER when: user asks to create an experiment from code/script, wants to sweep parameters, asks to add/delete/edit experiments, or wants parameter changes reflected in the UI. Combines experiment creation (from code analysis) with frontend UI synchronization.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build Simulink models that co-simulate with Eclipse SUMO traffic simulator. Use when creating SUMO-Simulink co-simulation, traffic simulation, TraCI connection, vehicle-in-the-loop testing, or ADAS scenario validation with SUMO. Covers Server/Client setup, Reader/Writer/Actor block configuration, random traffic generation, ego vehicle control, and SUMO file creation. Also use when the user mentions SumoInterfaceLibrary, .sumocfg files, or wants to connect Simulink to an external traffic simulator.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Display images and annotations for image processing, computer vision, and visual inspection. Use when displaying images with imageshow, creating image viewers with viewer2d, adding Regions of Interest (ROI) or annotations, overlaying masks or segmentations, streaming video frames, or building apps with image display.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when fitting accelerated life models, computing mean time to failure (MTTF), B10 life and similar quantities, fitting life distributions like Weibull for reliability analysis, comparing distribution fits, computing confidence intervals on reliability quantities with bootstrapping, performing lifetime prediction, computing failure rates, plotting Kaplan-Meier curves, computing survival functions, or doing reliability analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build, import, analyze, tolerate, and optimize optical systems using the Optical Design and Simulation Library. Use when the user asks about optical systems, ray tracing, geometric optics, Zemax import, optical coatings, tolerancing, or optical design optimization.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Load this first for any task involving images, pictures, photos, scans, frames, volumes, or visual data — including reading, writing, filtering, enhancing, denoising, sharpening, deblurring, thresholding, segmenting, masking, detecting, finding or counting objects, removing backgrounds, measuring, comparing, registering, stitching, aligning, cropping, resizing, transforming, or analyzing. Use for image I/O (TIFF, PNG, JPEG, RAW, HDR), histograms, edge detection, color processing, morphology, geometric transforms, deep learning for images, quality assessment, and 3-D volume processing. Also triggers when users describe image problems (dark, noisy, blurry, low contrast, uneven lighting, hazy, color cast) or data exploration tasks (folder of images, characterize data, understand format). Handles microscopy (cells, particles) and general scientific imaging. Routes to sibling skills for medical imaging (DICOM, NIfTI), hyperspectral data, and visual inspection.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Patterns for using blockedImage to process large images, harness parallel compute for image processing, and write custom adapters. Use when writing code that creates, processes, or visualizes blockedImage objects, when implementing images.blocked.Adapter subclasses, or when a user needs help with large image data. Always use this skill when working with TIFF,GeoTIFF, .svs, .ndpi, .czi or other WSI, satellite imagery or microscopy volume image formats.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert guidance for simulating RoadRunner scenarios via the MATLAB programmatic API and Simulink co-simulation. Use when the user wants to run a simulation, step through a simulation, control actors during co-simulation, add observers, attach sensors, retrieve simulation logs, or read/write scenario variables. Covers simulateScenario, createSimulation, ScenarioSimulation set/get, ActorSimulation getAttribute/setAttribute, addObserver, SensorSimulation, Simulink co-sim blocks, and publishActorBehavior. NOT for project setup, scene building, scenario authoring, or trajectory export.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Read and write 3-D point cloud data using Lidar Toolbox file I/O. Covers PLY, PCD, LAS/LAZ, PCAP (Velodyne/Ouster/Hesai), E57, and IDC (Ibeo) formats. Use when loading point clouds from disk, saving to disk, choosing the correct reader or writer for a file format, extracting or preserving lidar point attributes, reading Ibeo IDC sensor recordings, or converting between formats.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
使用独立膨胀原理在MATLAB中编写脚本以快速计算并绘制空泡轮廓，输出格式为脚本而非函数。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
使用MATLAB对彩色图像进行频域高通滤波处理，以增强图像边缘和细节。适用于需要保留颜色信息并增强高频分量的场景。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
在MATLAB中实现向量的非循环平移（零填充），并要求使用矩阵乘法的形式表示，而非直接索引或循环。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
在MATLAB中计算复信号的自相关函数向量，且不使用xcorr和toeplitz函数。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
编写Matlab脚本，从CSV文件中提取指定列（A、B、C列），保存为新文件，并计算各列最大值和最小值，最后将统计结果输出到Excel表格的新Sheet中。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
使用MATLAB计算二维矩阵等高线围成的面积，过滤无效值，并将相同level的等高线面积合并统计。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
将基于节点导纳矩阵的戴维南等值MATLAB计算函数转换为诺顿等值计算函数，保持原有的矩阵运算结构并修正输出参数为等效电流。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
在MATLAB绘制的直方图上叠加标记局部峰值，不显示文本标签，并支持自定义标记样式（如蓝色实心倒三角）。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
MATLAB/GNU Octave numerical computing: matrices, linear algebra, ODEs, signal processing, optimization, statistics, scientific visualization. MATLAB-syntax examples run on both. For Python use numpy/scipy; for statistical modeling use statsmodels.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when an instructor wants to create, interview for, configure, install, update, or review a course AI-use policy for MATLAB AI tutoring. Produces an AI-POLICY.md file for LMS sharing and local tutoring-session enforcement by assignment guardrails.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.