Workshop on Tracking Progress of the Mitigation Commitments of Nationally Determined Contributions will focus on enhancing transparency frameworks, modalities, procedures, and guidelines related to NDC tracking provisions. It includes detailed information on mitigation policies, actions, and plans o

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UKMOD-UKHLS is a versatile dataset derived from the UK Household Longitudinal Study (UKHLS) for policy years 2010-2019. It aims to provide valuable insights for longitudinal analysis in the UK. The dataset undergoes meticulous processing to align with policy years, address data gaps, and deliver acc

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Multiple suites of supervised learning algorithms are available for modeling prediction systems using labeled training data for regression or classification tasks. Tuning features can significantly impact model results. The training-testing process involves fitting the model on a training dataset an

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In preparation for the 2024 Annual Report, Melissa Aro, Analyst and Data Coordinator, has outlined a detailed guide on tracking programs and activities. The guide covers learning objectives, utilizing programming and activity count tracker, worksheet tabs, event tracking, and sample data entry. It p

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Introduction to an Arduino-based light tracking system using Cadmium Sulfide light-dependent resistors. The system tracks the maximum light intensity and automatically adjusts its direction towards the brightest source. It includes an Arduino-based Lux Meter and specifications such as DAC resolution

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Partition values such as quartiles, deciles, and percentiles play a crucial role in dividing a dataset into various segments for analysis. Quartiles split the data into 4 equal parts, deciles into 10 parts, and percentiles into 100 parts. These values help in understanding the distribution of data a

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This polling dataset explores various questions related to the Korean Peninsula issues and US national security. It delves into topics such as the stances of the Biden and Moon administrations towards the Kim regime, potential agreements to address North Korea's nuclear issues, success of the Korea

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In this detailed guide prepared by Statistics Canada, you will learn how to set up and run the Postal Code Conversion File Plus (PCCF+). The process involves creating an input file with unique identifiers and postal codes, producing a new dataset, saving it for import, importing the data to SAS, tra

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Learn how to configure and troubleshoot IP SLA with Object Tracking using detailed examples for Static Routing, HSRP, and Policy Based Routing. Find out where Object Tracking can be implemented and when not to use it in various network scenarios. Understand the configuration components, including de

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The Remora is a rugged GPS tracking device designed for non-powered assets, featuring long battery life, easy installation, and various tracking functions. It has a low-profile, waterproof design with magnetic tamper detection and accelerometer. The device requires no installation and offers options

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This presentation delves into the privacy concerns surrounding 802.11 networks, focusing on tracking vulnerabilities and the limitations of MAC randomization in preventing tracking. It discusses the ease of tracking devices, the risk of passive tracking due to MAC addresses being visible in frames,

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This presentation explores active object recognition using vocabulary trees by Natasha Govender, Jonathan Claassens, Philip Torr, Jonathan Warrell, and presented by Manu Agarwal. It delves into various aspects of the experiment, including uniqueness scores, textureness versus uniqueness, and the use

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The document "January 2019.doc: IEEE 802.11-19/0007r0" discusses the necessity of beam tracking in the 11md draft. It explores whether beam tracking should be mandatory or optional and provides insights into DMG beam tracking procedures for both TX and RX in wireless communication. The document emph

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This lecture covers important machine learning techniques such as K-Nearest Neighbour, K-fold Cross Validation, and K-Means Clustering. It delves into the concepts of Nearest Neighbour method, distance measures, similarity measures, dataset classification using the Iris dataset, and practical applic

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Utilizing a novel self-learning semi-supervised technique with k-fold iterative training for cardiomegaly localization from chest X-ray images showed significant improvement in validation loss and labeled dataset size. The model, based on a VGG-16 backbone, outperformed traditional methods, resultin

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This project aims to provide a comprehensive medical imaging dataset for two-stage transfer learning, facilitating the evaluation of architectures utilizing this approach. Transfer learning in medical imaging involves adapting pre-trained deep learning models for specific diagnostic tasks, enhancing

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Proper dataset handling is crucial in machine learning projects. Use publicly available datasets with train/dev/test splits or create your own. Be cautious of overfitting by utilizing independent validation and test sets. Avoid touching the test set until final evaluation to prevent overfitting. Mai

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Dataset analysis of Avengers' appearances, gender, status, and years since joining. Obtained from data.world, the dataset consists of 173 records capturing various details about Avengers characters. Methods for examining appearances, gender distribution, status types, and years since joining were ap

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In mathematics, the average, median, mode, and range are essential measures of central tendency used to organize and summarize data for better understanding. The mean refers to the middle value of a dataset without outliers, while the median is the middle number when the data is ordered. The mode re

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Introduction to object tracking in videos, discussing challenges such as scale, orientation, and location changes. Motivation behind target tracking in surveillance and virtual reality applications. Explanation of a method using sparse coding to modify mean-shift for handling changes in location, sc

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Unencrypted and predictable frame fields in IEEE 802.11 networks can lead to client frame tracking, compromising user privacy. The Client Frame Tracking Countermeasures (CFTC) proposal aims to prevent tracking across epoch boundaries by obfuscating critical fields like PN, SN, and AID. Each epoch, l

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Delve into the world of cross-device tracking with insights on probabilistic vs. deterministic matching models, limitations of third-party cookies, reasons to engage in cross-device tracking, and the distinctions between probabilistic and deterministic matching methods. Explore how tracking across m

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WikiQA Dataset provides a challenge for open-domain question answering, focusing on identifying answers from large-scale knowledge bases such as Freebase and high-quality text sources like Wikipedia. The dataset includes questions sampled from search engine query logs, with candidate sentences sourc

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This content discusses the WikiQA dataset, a challenge dataset for open-domain question answering. It covers topics such as question answering with knowledge base, answer sentence selection, QA sentence dataset, issues with QA sentence dataset, and WikiQA dataset details. Various aspects of open-dom

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Explore the factors influencing YouTube video trends through the analysis of the dataset compiled by Grace Dimmer. The project delves into the challenges, insights, and future possibilities associated with deciphering the dynamics of trending videos on YouTube. From data overview to analysis techniq

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This study introduces a realistic dataset and temporal baseline model for early drowsiness detection, addressing the critical issue of drowsy driving that leads to numerous accidents and fatalities each year. By analyzing physiological measurements and human behavior, the research aims to improve de

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In this lecture on Generalized Linear Models in R, the focus is on examining the association between maternal education and maternal age using a dataset on births. The process involves creating a factor variable for maternal education levels, filtering a smaller dataset, visualizing the univariate r

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The Dart is a compact, economical, and feature-rich GPS/GLONASS tracking device suitable for vehicle tracking, tax reporting, asset security, and more. It features high sensitivity GPS with LNA, 3D accelerometer, internal backup battery, easy installation, geo-fencing, driver ID support, and various

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The study focuses on detecting performance anomalies in cellular networks using regression analysis. It addresses challenges such as labeling, rare anomalies, and correlated factors. The tool CellPAD is introduced for anomaly detection, supporting various prediction algorithms and offering insights

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Explore a variety of fitness tracking devices and apps recommended by Janet Bezner, a leading physical therapist. From FitBit to Garmin Vivofit, learn about tracking physical activity, nutrition, sleep, and more. Discover devices like Withings Wi-Fi Body Scale for monitoring weight and MIO Link for

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Research progress and results in image dataset analysis including experiment outcomes, discussion on model performance, dataset analysis, and model training. The study covers topics such as analysis of kiwi leaf trips and spots, model ensemble techniques, teacher-student learning, and the effectiven

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This dataset provides comprehensive information about math, reading, and science performance in various elementary schools in North Carolina. It includes data on grades, schools, and composite scores for different subjects. The images associated with the data show detailed breakdowns of performance

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Delve into the artistic representations of USPS tracking experiences through cardboard artworks by Robert Rauschenberg at the Hirsch Library, Museum of Fine Arts, Houston. The collection explores the ambiguity and unreliability of tracking services, inviting viewers to ponder whether the tracking ex

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Eye tracking is the process of measuring eye movements to analyze attention, cognition, and behavior. This overview delves into the taxonomy of eye movements, various eye tracking techniques like Electro-oculography and Video-Oculography, the data collected, and its visualization methods. Understand

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In statistics, the mean represents the average value, the median is the middle value that divides a dataset into two halves, and the mode is the most frequent value. This guide explains how to calculate these statistical measures and provides examples. Additionally, it demonstrates how to estimate t

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This research focuses on developing a multi-class skin lesion segmentation method specifically for Cutaneous T-cell Lymphomas using high-resolution clinical images. The study introduces a new dataset, a novel method called Multi-Knowledge Learning Network (MKLN), and achieves state-of-the-art result

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Explore trends in character levels, classes, and races in World of Warcraft using a dataset collected by Jinyuan Qiu in January 2009. The dataset covers character attributes such as level, race, class, and zone, allowing for analysis of gameplay patterns and common traits among characters.

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Speckle tracking echocardiography is a method analyzing speckle artifacts in ultrasound images to obtain information on myocardial motion and deformation. By tracking speckles in the ventricle wall, parameters like motion displacement, velocity, strain, and strain rate can be measured. Deformation c

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Accurate human activity recognition (HAR) is crucial for context-aware applications. This study presents a framework utilizing mmWave radar-generated point clouds for HAR, addressing challenges related to privacy and sensors. Different machine learning approaches were evaluated, and a new open-sourc

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This study presents a human tracking and identification system using mmWave radar technology, offering high precision and the ability to conceal behind materials. The system achieved a median tracking accuracy of 0.16m and an identification accuracy of 89% for 12 individuals. Unlike traditional meth

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