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Related Concept Videos

Surveys02:16

Surveys

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Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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Introduction to Surveying, Plane Surveying and Geodetic Surveys01:27

Introduction to Surveying, Plane Surveying and Geodetic Surveys

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Surveying is the art and science of mapping the earth's surface. It involves measuring distances, angles in horizontal or vertical directions, and levels to understand the shape and size of land features. Surveying techniques are essential for various tasks, such as identifying the levels of a land area with reference to a specific point, and mapping undulations and water bodies.There are two main types of surveying: plane surveys and geodetic surveys. Plane surveys assume the earth is flat,...
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Errors and Mistakes in Surveying01:19

Errors and Mistakes in Surveying

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Errors and mistakes in surveying refer to inaccuracies in measurements and data recording. The errors are deviations from the actual value caused by human sensory limitations, equipment flaws, or environmental effects. These errors are typically unintentional and can result from the inherent imperfections in the instruments used, atmospheric conditions, or the observer’s inability to perceive exact measurements. On the other hand, mistakes are caused by the surveyor's lack of...
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Types of Surveys01:27

Types of Surveys

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Surveys are essential for marking property boundaries near water bodies. Different types of surveys are defined, each with its own function. Land surveys mark the property boundaries, while route surveys determine the position of properties on nearby highways. Topographic surveys create maps by capturing the three-dimensional features of the land. Hydrographic surveys focus on the shapes of underwater areas and the movement of streams through the properties. Mine surveys determine the relative...
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Survey Safety01:28

Survey Safety

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Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...
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Data Collection by Survey01:07

Data Collection by Survey

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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers.

Fred Matthew Hohman, Minsuk Kahng, Robert Pienta

    IEEE Transactions on Visualization and Computer Graphics
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    Summary
    This summary is machine-generated.

    Visual analytics tools help interpret complex deep learning models. This survey explores their role in understanding model behavior, aiding researchers and practitioners in debugging and improving performance across various domains.

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    Area of Science:

    • Artificial Intelligence
    • Computer Science
    • Data Visualization

    Background:

    • Deep learning models achieve state-of-the-art performance but their complex, nonlinear structures make interpretation challenging.
    • Understanding deep learning model decision-making is crucial as their application expands across diverse domains.
    • Existing toolkits democratize deep learning development, but interpretation and debugging tools are essential for users.

    Purpose of the Study:

    • To survey the role and impact of visual analytics in deep learning research.
    • To provide a comprehensive summary of the current state-of-the-art in visual analytics for deep learning.
    • To identify key research directions and open problems in this interdisciplinary field.

    Main Methods:

    • A human-centered interrogative framework (Five W's and How) was used to structure the survey.
    • Systematic review of visual analytics systems applied to deep learning.
    • Analysis of the historical development and current applications of visual analytics in AI.

    Main Results:

    • Visual analytics systems are increasingly important for explaining, interpreting, and debugging deep learning models.
    • The survey highlights the short yet impactful history of visual analytics in deep learning.
    • Current systems support users in understanding model performance, failures, and improvement strategies.

    Conclusions:

    • Visual analytics is vital for demystifying deep learning and enabling user trust and effective application.
    • Further research is needed to address open challenges in model interpretability and debugging.
    • This survey serves as a valuable resource for researchers and practitioners in both visual analytics and deep learning.