Search Results - computer program learning data processing.

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    by Peixeiro, Marco
    Published 2022
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  9. 389
    by Peixeiro, Marco
    Published 2022
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    by Peixeiro, Marco
    Published 2022
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    by Banach, Daniel T.
    Published 2003
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  14. 394
    Published 2014
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    Table of Contents: ...Cover -- Title Page -- Copyright -- Contents -- Foreword -- About the Companion Website -- Chapter 1 Data Cleaning -- 1.1 The Statistical Value Chain -- 1.1.1 Raw Data -- 1.1.2 Input Data -- 1.1.3 Valid Data -- 1.1.4 Statistics -- 1.1.5 Output -- 1.2 Notation and Conventions Used in this Book -- Chapter 2 A Brief Introduction to R -- 2.1 R on the Command Line -- 2.1.1 Getting Help and Learning R -- 2.2 Vectors -- 2.2.1 Computing with Vectors -- 2.2.2 Arrays and Matrices -- 2.3 Data Frames -- 2.3.1 The Formula‐Data Interface -- 2.3.2 Selecting Rows and Columns -- Boolean Operators -- 2.3.3 Selection with Indices -- 2.3.4 Data Frame Manipulation: The dplyr Package -- 2.4 Special Values -- 2.4.1 Missing Values -- 2.5 Getting Data into and out of R -- 2.5.1 File Paths in R -- 2.5.2 Formats Provided by Packages -- 2.5.3 Reading Data from a Database -- 2.5.4 Working with Data External to R -- 2.6 Functions -- 2.6.1 Using Functions -- 2.6.2 Writing Functions -- 2.7 Packages Used in this Book -- Chapter 3 Technical Representation of Data -- 3.1 Numeric Data -- 3.1.1 Integers -- 3.1.2 Integers in R -- 3.1.3 Real Numbers -- 3.1.4 Double Precision Numbers -- 3.1.5 The Concept of Machine Precision -- 3.1.6 Consequences of Working with Floating Point Numbers -- 3.1.7 Dealing with the Consequences -- 3.1.8 Numeric Data in R -- 3.2 Text Data -- 3.2.1 Terminology and Encodings -- 3.2.2 Unicode -- 3.2.3 Some Popular Encodings -- 3.2.4 Textual Data in R: Objects of Class Character -- 3.2.5 Encoding in R -- 3.2.6 Reading and Writing of Data with Non‐Local Encoding -- 3.2.7 Detecting Encoding -- 3.2.8 Collation and Sorting -- 3.3 Times and Dates -- 3.3.1 AIT, UTC, and POSIX Seconds Since the Epcoch -- 3.3.2 Time and Date Notation -- 3.3.3 Time and Date Storage in R -- 3.3.4 Time and Date Conversion in R -- 3.3.5 Leap Days, Time Zones, and Daylight Saving Times....
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  19. 399
  20. 400
    Published 2026
    Table of Contents: ...SECTION: EDUCATION, LEARNING STRATEGIES, PROGRAMMING LANGUAGES, AND CASE STUDIES -- Python Pioneers: A K-12 Just-in-Time, Culturally Relevant, Computational Thinking Based Python Learning Experience. -- BugTor: A Feedback-Driven Static Analysis Tailored for Novice Java Programmers. -- Integrating Programming Beyond CS to Foster Inclusive Computing Literacy. -- Development of Interdisciplinary Computing-Based Programs for Democratizing Computing Workforce. -- A Spotlight on the Role of Functional Programming & Haskell in Computing & Software Development. -- Numerical Solution for the One-Dimensional Schrodinger Equation and Allowed Energies of Quantized Systems. -- SECTION: TEACHING STRATEGIES, TEACHING TOOLS, AND ACADEMIC ASSESSMENT -- Collaboration, Flipped Classrooms and the Challenge of Board Tutorials in Mathematics Education. -- Integrating Virtual Reality and Research Methods into an Undergraduate Computer Science Elective Course. -- Engaging First and Second Year Undergraduates with Parallel and Distributed Computing: Lessons from Unplugged and Game-Based Activities. -- Assessing Academic Success and Proficiency of Non-Computing Students in Foundational Computing Courses. -- Improving Student Persistence by Studying Course Withdrawal Data. -- Analysis of the Correlation Between Education and Social Advancement through Pseudonym Information Combination. -- SECTION: UTILIZATION OF ARTIFICIAL INTELLIGENCE, DATA ANALYTICS, AND LARGE LANGUAGE MODELS IN EDUCATION -- Generating Educational Interactive Fiction Games Using ChatGPT. -- AI Catalysing and Reformulating Innovation-Driven Education in ICT Engineering. -- Integrating Edge AI and Embedded Systems into Computer Architecture with Raspberry Pi. -- Buddy, Not Crutch: Ethical Use of Zero-Shot Prompting with Public LLMs for Software Engineering Technical Interview Preparation. -- Enhancing Granular Sentiment Classification with Chain-of-Thought Prompting in Large Language Models. -- Tensor Decomposition Optimization for Student Success Prediction Modeling in Hands-on Cybersecurity Exercises. -- Integrating Generative AI into Blockchain and Marketing Education at HBCUs: A Proposed Framework. -- A Proposed Model for Resource Consumption Optimization within Inter-Organizational Business Process Execution. -- A Review Study on Self-Learning Braille Systems. -- EduRAG: Improving AI Teaching Assistants with Retrieval-Augmented Generation. -- Future Multimedia Integrated Learning Methodologies and its Applications in Digital Education. -- SECTION: IMAGING SCIENCE, COMPUTER VISION, ARTIFICIAL INTELLIGENCE, AND CNN -- Enhancing Time Series Clustering and Classification via Order-Preserving Wasserstein Distance, Local Fourier Approximations, and Ensemble Learning. -- Comparing Human Fall Detection Algorithms of Millimeter-Wave Radar Among MobileViT, RepLKNet and tinyViT Networks. -- Smart Computer Vision System Based on Multi-Class Informed Object Detection Using YOLOv7 and ResNet-18. -- Multi-Classification for Specifying the Gender for Adults and Children Using the Resnet-18 Architecture. -- Low-light Video Enhancement Using Attention-based Deep Neural Networks. -- Optical Flow Estimation Using Transformer-based Deep Neural Networks. -- Appearance-Based Gaze Estimation with Deep Learning for Interactive Digital Signage. -- Detecting Canine Cataracts: A Deep Learning and Clustering Approach. -- Near Real-Time Dust Aerosol Detection with 3D Convolutional Neural Networks on MODIS Data. -- Computation-Efficient Hierarchical Tensor Train Convolutional Architectures for Diffusion-Based Medical Image Segmentation. -- Robust DDoS-Attack Classification with 3D CNNs Against Adversarial Methods. -- SECTION: IMAGE PROCESSING, COMPUTER VISION, PATTERN RECOGNITION, AND NOVEL APPLICATIONS -- Morphological Component Analysis for Micro-Doppler Signal Decomposition in Outdoor Environments. -- Evaluating Open-Source Pretrained Models for Natural Disaster Response. -- An Empirical Study on Underwater Image Enhancement for Robust Instance Segmentation. -- Analysis of Post-Disaster Damage Detection using Aerial Footage from UWF Campus after Hurricane Sally. -- Smart Computer Vision System for Real-Time Monitoring of Car Parking Duration Using YOLOv7 and Deepsort. -- R-C-P Method: An Autonomous Volume Calculation Method Using Image Processing and Machine Vision. -- Measuring Light Attenuation via Paper Materials Using Image Processing, and an Application Concept. -- Uncovering Crime Patterns: A Geospatial Clustering Approach. -- An Overview of Real-Time Computer Vision-Based Traffic Analysis Systems. -- SECTION: SHORT/POSTER RESEARCH PAPERS -- Using Data Mining for Effective Customer Relations in Retail Sector. -- Depth Perception Control Using Camera Focus Control and Foveated Rendering in the Visual System of an Avatar Robot....
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