Focuses on developing a rescue drone with increased autonomy and implementing computer vision for advanced object detection. The team, consisting of Cody Campbell (Hardware Engineer), Alexandra Borgesen (Computer Engineer), Halil Yonter (Team Leader), Shawn Cho (Software Engineer), Peter Burchell (M

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Anomaly Detection Tool (ADT) aims to automate the detection of network degradation in a mobile communications network, reducing the time and effort required significantly. By utilizing statistical and machine learning models, ADT can generate anomaly reports efficiently across a large circle network

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Utilizing mmWave radar technology for drone detection offers solutions to concerns such as surveillance, drug smuggling, hostile intent, and invasion of privacy. The compact and cost-effective mmWave radar systems enable efficient detection and classification of drones, including those with minimal

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Collaborative S.H.O.R.E. project in South Hero, funded by VOREC, aims to improve bike and pedestrian routes, maximize economic impact, promote positive relationships, and increase business awareness. The process involves gathering information, identifying findings, engaging community stakeholders, a

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An Intrusion Detection System (IDS) is crucial for defending computer systems against attacks, with machine learning playing a key role in anomaly and misuse detection approaches. The 1998/1999 DARPA Intrusion Set and Anomaly Detection Systems are explored, alongside popular machine learning classif

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Explore the cutting-edge NC22Plex STR Detection Kit from Jiangsu Superbio Biomedical, offering a 5-color fluorescence detection system suitable for multiple applications. Enhance your research capabilities with this innovative product designed for precision and efficiency.

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Melanoma, a type of skin cancer, can be life-threatening if not diagnosed early. This study presented at the IEEE EMBC conference focuses on using a convolutional neural network for automated detection of melanoma lesions in clinical images. The importance of early detection is highlighted, as exper

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Nanomaterials, particularly magnetic rod-based metal-organic frameworks composites, are gaining attention for their exceptional properties and various applications in different fields. This study by Benjamin Edem Meteku focuses on using these composites for colorimetric detection of hydrogen peroxid

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Explore the critical issue of pedestrian accidents in Portland with our infographic. Learn about the factors contributing to these incidents and discover how legal support can make a difference for those affected. Visit Goldberg & Loren's Portland Pe

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The Visible Infrared Imaging Radiometer Suite (VIIRS) program, a joint effort between NASA and NOAA, focuses on weather prediction and boat detection using low light imaging data collected at night. The VIIRS system provides global coverage with sensitive instruments and efficient data flow processe

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This project focuses on real-time cough and sneeze detection for assessing disease likelihood and individual well-being. Deep learning, particularly CNN and CRNN models, is utilized for efficient detection and classification. The team conducted a literature survey on keyword spotting techniques and

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Learn how San Diego leak detection services can help protect your home from water damage. Discover the signs of leaks, advanced detection technologies, and tips to prevent costly repairs. Stay ahead with proactive slab leak detection and expert solut

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This presentation discusses a real-time indoor positioning system for subway stations using cell phones. It covers server-side tracking of users' phones, data collection for trajectory analysis, client-side navigation services in GPS-denied environments, and localization technologies such as radio f

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The GOES-R ABI Aerosol Detection Product (ADP) Validation was conducted by Shobha Kondragunta and Pubu Ciren at the NOAA/NESDIS/STAR workshop in January 2014. The validation process involved testing and validating the ADP product using proxy data at various resolutions for detecting smoke, dust, and

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Detection of coughs and sneezes plays a crucial role in assessing an individual's health condition. This project by Group 71 focuses on real-time detection using deep learning techniques to analyze audio data from various datasets. The use of deep learning models like CNN and CRNN showcases improved

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This study focuses on the development of a satellite passive microwave snowfall detection algorithm, highlighting the challenges in accurately determining snowfall using satellite instruments. The algorithm uses data from AMSU/MHS, ATMS, and SSMIS sensors to generate snowfall rate estimates, overcom

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Two-dimensional parity and Cyclic Redundancy Check (CRC) are data error detection methods used to ensure data integrity during transmission. Two-dimensional parity involves organizing bits in a table to calculate parity bits for data units and columns, while CRC appends a string of zeros to the data

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Presentation on the Dublin City Council Cordon Counts conducted in 2018, detailing survey locations, dates, vehicle and pedestrian counts, comparisons between 2017 and 2018, and results summaries for AM Peak Inbound hours and 12-hour Inbound periods. The survey covers various sites, pedestrian and c

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Alaska DOT&PF is working on the Sitka Sawmill Creek Road Resurfacing and Pedestrian Improvements Project to enhance the road infrastructure. The project includes reconstructing pavement, redesigning intersections, installing a new storm drain system, and improving pedestrian facilities. Proposed opt

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GRANDproto project workshop held in May 2017 focused on improving autonomous radio detection efficiency for the detection of extensive air showers (EAS). Issues such as detector stability and background rates were discussed, with the goal of establishing radio detection as a reliable method for EAS

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Protect your home with expert leak detection services in San Diego. Avoid costly water damage and health risks with timely detection of hidden leaks. Schedule today!\n\nKnow more: \/\/ \/san-diego-slab-leak-detection\/

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Protect your home from costly damage with professional leak detection in San Diego. Learn about expert services like slab leak detection, non-invasive testing, and more. Save money and prevent water damage with top San Diego leak detection services.\

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Learn about EPA requirements for tank leak detection, release detection methods, and compliance methods for monitoring tank systems. Understand the importance of implementing effective leak detection systems to prevent contamination and comply with federal regulations, including Automatic Tank Gaugi

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This study explores the underreporting of pedestrian and bicycle crashes in and around university campuses using a crowdsourcing approach. It discusses the reasons why not all crashes get documented and how crowdsourced data can complement police-reported datasets, providing insights into perception

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Research conducted by NCHRP 08-78 focuses on estimating bicycle and pedestrian demand through innovative methods sensitive to land use and facilities. The study highlights the importance of accessibility in influencing travel behavior and mode choice, emphasizing the need to account for impedance un

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This project involves traffic signal modifications, sidewalk ramps, school flashers, pedestrian beacons, signs, pavement markings, and streetlights to enhance traffic and pedestrian safety in Fort Worth. The contractor will provide construction services as needed, with work orders for various improv

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Smartphone distractions have led to fatal accidents, prompting measures like in-ground traffic lights in Augsburg, Germany, to protect pedestrians engrossed in their devices. Other cities worldwide are also taking action due to the increasing risks posed by distracted mobile phone users. The introdu

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Gas detection instruments play a crucial role in assessing the presence of hazardous atmospheres in the gas industry. This study focuses on the impact of adding hydrogen up to 20% in natural gas blends on gas detection instruments. The aim is to understand any potential inaccuracies in readings and

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Discover the importance of timely leak detection in San Diego. Prevent costly water damage, reduce bills, and protect your home with professional leak detection services. Learn more about slab leak detection and prevention today!\n\nKnow more: \/\/m

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The use of non-radioactive probes in molecular detection involves synthetic DNA or RNA molecules with specific target sequences and reporter groups detectable via fluorescence spectroscopy. Direct and indirect labeling methods utilize fluorescent dyes or enzymes conjugated to modified nucleotides, a

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Exploring various aspects of distractions and pedestrian safety, the workshop covers topics like road safety skills, reasons for distractions, and strategies for managing distractions. It also delves into the importance of the Green Cross Code and proposes re-branding ideas to make it more appealing

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Intrusion Detection Systems (IDS) play a crucial role in network security by analyzing traffic patterns and detecting anomalous behavior to send alerts. This summary covers the basics of IDS, differences between IDS and IPS, types of IDS (host-based and network-based), and the capabilities of Snort,

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An overview of the importance of network intrusion detection, its relevance to anomaly detection and data mining, the concept of anomaly-based network intrusion detection, and the economic impact of cybercrime. The content also touches on different types of computer attacks and references related to

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LD-Sketch is a novel distributed sketching design for accurate and scalable anomaly detection in network data streams, addressing challenges such as tracking heavy keys in real-time across a vast key space. By combining high accuracy, speed, and low space complexity, LD-Sketch enables efficient heav

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The research focuses on developing strategies to improve traffic signal functionality for pedestrians and cyclists. It explores the impact of pedestrian recall and actuation on traffic operations and safety, investigating factors such as pedestrian volume thresholds. Using microsimulation models on

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Anomaly detection is a crucial aspect of data mining, involving the identification of data points significantly different from the rest. This process is essential in various fields, as anomalies can indicate important insights or errors in the data. The content covers the characteristics of anomaly

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Communication forms and visual aids play a crucial role in supporting pedestrian wayfinding. Different methods such as maps, floor plans, verbal and textual guidance, images, videos, and 3D presentations are utilized to enhance navigation experiences for users. The use of Location Based Services and

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Learn essential pedestrian skills and safety tips for navigating your community independently. Topics include participating in class discussions, dressing appropriately, carrying emergency contact information, and understanding community signs and signals for safe travels.

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Object detection techniques employ cascades, Haar-like features, integral images, feature selection with Adaboost, and statistical modeling for efficient and accurate detection. The Viola-Jones algorithm, Dalal-Triggs method, deformable models, and deep learning approaches are prominent in this fiel

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Protecting vulnerable road users through reliable vehicle-to-pedestrian communications is crucial to reducing accidents. This study emphasizes the need for accurate V2P channel models to enhance communication systems, highlighting the importance of V2P path loss models and comparing V2X channels. Mo

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